Clonal hematopoiesis is associated with protection from Alzheimer’s disease
Open accessPublished version of a preprint
Abstract
Clonal hematopoiesis of indeterminate potential (CHIP) is a premalignant expansion of mutated hematopoietic stem cells. As CHIP-associated mutations are known to alter the development and function of myeloid cells, we hypothesized that CHIP may also be associated with the risk of Alzheimer’s disease (AD), a disease in which brain-resident myeloid cells are thought to have a major role. To perform association tests between CHIP and AD dementia, we analyzed blood DNA sequencing data from 1,362 individuals with AD and 4,368 individuals without AD. Individuals with CHIP had a lower risk of AD dementia (meta-analysis odds ratio (OR) = 0.64, P = 3.8 × 10 −5 ), and Mendelian randomization analyses supported a potential causal association. We observed that the same mutations found in blood were also detected in microglia-enriched fraction of the brain in seven of eight CHIP carriers. Single-nucleus chromatin accessibility profiling of brain-derived nuclei in six CHIP carriers revealed that the mutated cells comprised a large proportion of the microglial pool in the samples examined. While additional studies are required to validate the mechanistic findings, these results suggest that CHIP may have a role in attenuating the risk of AD.
AI snapshot
Written from the paper’s full text.
TL;DR
Clonal hematopoiesis of indeterminate potential (CHIP) was associated with lower risk of Alzheimer’s disease (AD) dementia across cohorts, with Mendelian randomization supporting a potential causal protective effect. CHIP-mutant cells were also detected in brain microglia-enriched fractions, suggesting marrow-derived myeloid cells may infiltrate the brain and influence AD risk.
Key findings
- In a meta-analysis of ADSP, CHS, and FHS, CHIP carriers had lower risk of AD dementia (OR = 0.64, P = 3.8 × 10−5); in ADSP APOE ε3ε3 participants, CHIP with VAF > 0.08 was associated with lower AD risk (OR = 0.66, P = 5.5 × 10−4).
- Mendelian randomization using 24 CHIP-associated polymorphisms found higher genetic risk of CHIP associated with reduced odds of AD (OR = 0.90 per 1 log-odds increase in CHIP risk, P = 3.3 × 10−4), while reverse-direction MR showed no evidence (OR = 0.97, P = 0.26).
- CHIP was associated with lower AD neuropathologic change in participants without dementia: lower CERAD neuritic plaque score (OR = 0.50, P = 3.2 × 10−3) and lower Braak stage (OR = 0.56, P = 0.015).
- CHIP variants were detected in the microglia-enriched NeuN− c-MAF+ brain fraction in seven of eight CHIP carriers; snATAC-seq estimated 30% to 95% of microglia were mutant in six CHIP samples, and microglia proportion among glia was higher in CHIP carriers (8.2%) than controls (5.1%; P = 0.042).
Methods
- Association analyses used blood DNA sequencing from TOPMed cohorts FHS (n = 2,437; 92 incident AD) and CHS (n = 743; 166 incident AD), plus ADSP case-control WES limited to APOE ε3ε3 individuals (1,104 AD cases, 1,446 controls), with CHIP defined from curated gene variants and VAF cutoffs.
- Time-to-event competing risks regression, logistic regression, fixed-effects meta-analysis, and Mendelian randomization were used; ADSP autopsy subsets were analyzed for CERAD score (n = 427) and Braak stage (n = 454) by ordinal logistic regression.
- Brain validation used postmortem ACT samples from eight CHIP carriers and four noncarriers, with nuclei isolation, NeuN/c-MAF sorting, amplicon sequencing, and snATAC-seq of 94,367 high-quality nuclei plus reference datasets.
Limitations
- The paper states that no differences in chromatin accessibility were found between microglia from CHIP carriers and noncarriers that could explain AD protection, possibly due to limited sample size, mutational heterogeneity, or assessment only in people without AD or significant ADNC.
- The paper states it cannot conclude that protection from AD is due to infiltrating mutant cells; identifying biologically meaningful differences between mutant and wild-type microglia would strengthen the causal hypothesis.
- Evident from the text: brain mechanistic analyses relied on small numbers of donors (eight CHIP carriers, four noncarriers; six with snATAC-seq), and the ADSP association replication was restricted to APOE ε3ε3 individuals because of age/sex imbalance in other genotype groups.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
23 of 28 cited sources checked · 13 supported · 0 flagged · accuracy not yet measured
- Premisecitation
CHIP-associated mutations alter the development and function of myeloid cells.
“As CHIP-associated mutations are known to alter the development and function of myeloid cells”
- Also stated in: § Main · plain
“Because CHIP-associated mutations influence the function of myeloid cells8,11,14, we tested whether CHIP was associated with the risk of AD.”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [8] Jaiswal, S. et al. Clonal hematopoiesis and risk of atherosclerotic cardiovascular disease. N. Engl. J. Med. 377, 111–121 (2017). source
The Results section on Tet2 loss in myeloid cells reports altered macrophage inflammatory gene expression and secretion, supporting an effect on myeloid-cell function. The Introduction says CHIP-associated mutations give hematopoietic stem cells a selective advantage, but does not establish that they alter myeloid-cell development; the demonstrated functional effect is chiefly for Tet2, not CHIP-associated mutations generally. The copy provides no page numbers for these passages. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [11] Fuster, J. J. et al. Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice. Science 355, 842–847 (2017). source
The indexed paper reports that TET2-deficient cells in mice show a myeloid differentiation bias and that TET2-deficient macrophages have altered inflammatory responses. This supports the claim for TET2, but the paper does not establish the same effects for CHIP-associated mutations generally. The indexed passages are labeled “Abstract”; no page numbers are supplied. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [14] Zhang, Q. et al. Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6. Nature 525, 389–393 (2015). source
The paper reports that Tet2 deficiency changes inflammatory gene expression and IL-6 production in dendritic cells and macrophages, supporting an effect on myeloid-cell function. But it explicitly says developmental defects in those cells were not observed (main text, Extended Data Fig. 1f), and its findings concern Tet2 loss rather than CHIP-associated mutations generally. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Also stated in: § Main · plain
- Premisecitation
GWAS have implicated functional alterations of microglia as a major driver of Alzheimer's disease risk.
“Genome-wide association studies (GWAS) have implicated functional alterations of microglia (MG), the macrophage-like hematopoietic cells in the brain, as a major driver of AD risk13.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] Nott, A. et al. Brain cell type-specific enhancer-promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
- Findingown data
Two-sample MR using 36 AD risk polymorphisms as instruments and CHIP as the outcome found no evidence of a causal effect of AD on CHIP (OR = 0.97, P = 0.26).
“we also performed two-sample MR using 36 polymorphisms for risk of AD as the instruments18 and CHIP as the outcome, which found no evidence of a causal effect in this direction (OR = 0.97 per 1 log-odds increase in risk of AD, P = 0.26 using the weighted median estimator).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [18] Schwartzentruber, J. et al. Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes. Nat. Genet. 53, 392–402 (2021). source
- Findingown data
Mutations consistent with CHIP were found in 17 brain samples from 1,776 persons in ADSP.
“Similar to a prior study22, we found mutations consistent with CHIP in 17 brain samples (Fig. 4a and Supplementary Table 13), although paired blood samples were not available for this set.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [22] Keogh, M. J. et al. High prevalence of focal and multi-focal somatic genetic variants in the human brain. Nat. Commun. 9, 4257 (2018). source
- Findingown data
MR using 24 CHIP-associated polymorphisms found that higher genetic risk of CHIP was associated with reduced odds of AD using the weighted median estimator (OR = 0.90 per 1 log-odds increase, P = 3.3 × 10−4).
“One- and two-sample MR using 24 CHIP-associated polymorphisms18 as the instruments (Supplementary Table 7) found that higher genetic risk of CHIP was associated with reduced odds of AD using the weighted median estimator (OR = 0.90 per 1 log-odds increase in risk of CHIP, P = 3.3 × 10−4, Fig. 2c).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [18] Schwartzentruber, J. et al. Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes. Nat. Genet. 53, 392–402 (2021). source
The Results section reports an Alzheimer’s disease GWAS meta-analysis, and Online Methods describes fine-mapping and AD meta-analysis, but neither reports the claimed CHIP Mendelian-randomization result. Searches for CHIP, Mendelian randomization, the weighted-median estimate, and the stated P value found no passage addressing it. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Study design and conductown data
The MR-PRESSO global test found no significant P values for horizontal pleiotropy in the four studies used in the MR meta-analysis (UKB GWAX P = 0.07, UKB GWAS P = 0.20, FinnGen P = 0.84, GR@ACE P = 0.91, unadjusted for multiple comparisons).
“We further used the MR-PRESSO global test49 to assess for horizontal pleiotropy and found no significant P values in the four studies used in the MR meta-analysis (UKB GWAX P = 0.07, UKB GWAS P = 0.20, FinnGen P = 0.84 and GR@ACE P = 0.91, all P values unadjusted for multiple comparisons).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [49] Verbanck, M., Chen, C. Y., Neale, B. & Do, R. Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases. Nat. Genet. 50, 693–698 (2018). source
- Premisecitation
CHIP is known to be associated with atherosclerotic cardiovascular disease.
“CHIP is known to be associated with atherosclerotic cardiovascular disease11.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Fuster, J. J. et al. Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice. Science 355, 842–847 (2017). source
- Findingcitation
There were multiple shared loci in the CHIP GWAS and a recent GWAS for hypertension.
“we noticed that there were multiple shared loci in the CHIP GWAS and a recent GWAS for hypertension51”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [51] Evangelou, E. et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat. Genet. 50 1412–1425 (2018). source
- Findingown data
The same CHIP mutations present in blood were detected in six of eight unfractionated brains, with VAF ranging from 0.004 to 0.02.
“We detected the same mutations that were present in blood in six of eight unfractionated brains with VAF ranging from 0.004 to 0.02”
Quote in the paperSubstantial claim - Findingown data
In ADSP, CHIP with VAF > 0.08 was associated with lower risk of AD dementia (OR = 0.66, P = 5.5 × 10−4).
“We found that CHIP with VAF > 0.08 was associated with lower risk of AD dementia in ADSP using logistic regression (odds ratio (OR) = 0.66, P = 5.5 × 10−4; Fig. 2a and Supplementary Table 5).”
Quote in the paperSubstantial claim - Findingown data
In a fixed-effects meta-analysis of CHS and FHS, CHIP was associated with a lower subdistribution hazard ratio for incident AD dementia (SHR = 0.63, P = 0.024).
“the presence of CHIP was associated with a lower subdistribution hazard ratio (SHR) for incident AD dementia in fully adjusted competing risks regression (CRR) models (SHR = 0.69, P = 0.13 in CHS; SHR = 0.51, P = 0.068 in FHS; SHR = 0.63, P = 0.024 in a fixed-effects meta-analysis of the two cohorts)”
Quote in the paperSubstantial claim - Findingown data
In ADSP, having VAF ≤ 0.08 had no association with AD dementia (OR = 1.25, P = 0.23).
“In contrast, having VAF ≤ 0.08 had no association with AD dementia (OR = 1.25, P = 0.23; Supplementary Table 6).”
Quote in the paperSubstantial claim - Findingown data
In ADSP participants without dementia, presence of CHIP was associated with a lower CERAD score (OR = 0.50, P = 3.2 × 10−3) after adjusting for age at death, sex and APOE genotype.
“Here the presence of CHIP was associated with having a lower CERAD score (OR = 0.50, P = 3.2 × 10−3)”
Quote in the paperSubstantial claim - Findingown data
Of the most commonly mutated genes in CHIP, all were associated with protection from AD dementia to a similar degree.
“Of the most commonly mutated genes in CHIP, all were associated with protection from AD dementia to a similar degree (Fig. 3c and Supplementary Table 12).”
Quote in the paperNot a substantial claim - Findingown data
In a meta-analysis of ADSP, CHS and FHS, CHIP carriers had a significantly lower risk of AD dementia (OR = 0.64, P = 3.8 × 10−5).
“Individuals with CHIP had a lower risk of AD dementia (meta-analysis odds ratio (OR) = 0.64, P = 3.8 × 10−5)”
- Also stated in: § Association between CHIP and AD dementia · plain
“A meta-analysis of ADSP, CHS and FHS showed that CHIP carriers had a significantly lower risk of AD dementia (OR = 0.64, P = 3.8 × 10−5; Fig. 2b).”
Quote in the paperSubstantial claim - Also stated in: § Association between CHIP and AD dementia · plain
- Findingown data
In ADSP participants without dementia, presence of CHIP was associated with a lower Braak stage (OR = 0.56, P = 0.015) after adjusting for age at death, sex and APOE genotype.
“and Braak stage (OR = 0.56, P = 0.015) using ordinal logistic regression after adjusting for age at death, sex and APOE genotype”
Quote in the paperSubstantial claim - Findingown data
C6 tracks in all brain samples had low accessibility at ANPEP, FOSB, VIM and S100A10, in contrast to monocytes or dendritic cells.
“Furthermore, the C6 tracks in all brain samples had low accessibility at ANPEP (CD13), FOSB, VIM and S100A10, in contrast to monocytes or DCs.”
Quote in the paperNot a substantial claim - Findingown data
C6 cells in CHIP carriers were similar to C6 cells in noncarriers in several different analyses.
“Furthermore, the C6 cells in CHIP carriers were similar to C6 cells in noncarriers in several different analyses.”
Quote in the paperNot a substantial claim - Findingown data
Consistent results were obtained with other MR methods.
“Consistent results were obtained with other MR methods (Supplementary Table 8 and Extended Data Fig. 2).”
Quote in the paperNot a substantial claim - Findingown data
Higher VAF was significantly associated with protection from AD dementia when modeled as a continuous variable.
“Higher VAF was also significantly associated with protection from AD dementia when modeled as a continuous variable (Supplementary Table 6).”
Quote in the paperSubstantial claim - Findingown data
There was no enrichment of nonmicroglial hematopoietic cells in CHIP carriers (mean = 6.5%) compared to controls (mean = 8.7%).
“There was no enrichment of nonmicroglial hematopoietic cells in the CHIP carriers (mean = 6.5%) compared to controls (mean = 8.7%; Fig. 5c and Supplementary Table 15).”
Quote in the paperNot a substantial claim - Findingown data
For nuclei within C6 grouped by sample, accessible chromatin at MG marker genes was similar to reference MG but distinct from blood monocytes or dendritic cells.
“For nuclei within C6 grouped by sample, accessible chromatin at MG marker genes (TMEM119, P2RY12, SALL1 and APOE) in each of our samples was visually and quantitatively similar to the reference MG but distinct from profiles of blood monocytes or dendritic cells”
Quote in the paperNot a substantial claim - Findingown data
The effect of CHIP remained significant when using a VAF cutoff of > 0.02 (OR = 0.79, P = 0.024).
“The effect of CHIP remained significant when using a VAF cutoff of >0.02 (OR = 0.79, P = 0.024; Supplementary Table 5).”
Quote in the paperNot a substantial claim - Findingown data
In analyses stratified by sex, there was a similar degree of protection for both male and female CHIP carriers.
“In analyses stratified by sex, there was a similar degree of protection for both male and female CHIP carriers (Supplementary Table 11).”
Quote in the paperNot a substantial claim - Findingown data
Inclusion of MG-associated germline polymorphisms from AD GWAS did not attenuate the effect of CHIP in these models.
“The inclusion of MG-associated germline polymorphisms from AD GWAS did not attenuate the effect of CHIP in these models”
Quote in the paperNot a substantial claim - Findingnone given
The degree of protection from AD dementia seen in CHIP carriers is similar to carrying an APOE ε2 allele.
“The degree of protection from AD dementia seen in CHIP carriers is similar to carrying an APOE ε2 allele”
Quote in the paperNot a substantial claim - Findingown data
For the ACT6 donor, 68%, 38% and 47% of putamen, cerebellar and occipital cortex MG harbored the TET2 mutation, respectively.
“For the ACT6 donor, 68%, 38% and 47% of putamen, cerebellar and occipital cortex MG harbored the TET2 mutation, respectively”
Quote in the paperNot a substantial claim - Findingown data
There were still large numbers of contaminating non-MG cells in the NeuN− c-MAF+ gate.
“However, this indicated that there were still large numbers of contaminating non-MG cells in the NeuN− c-MAF+ gate.”
Quote in the paperNot a substantial claim - Findingreasoning
These biases resulted in imbalanced distributions for cases and controls based on age and sex.
“These biases resulted in imbalanced distributions for cases and controls based on these variables.”
Quote in the paperSubstantial claim - Findingown data
The narrow-sense heritability for CHIP was estimated to be 9.3%.
“We estimated the narrow-sense heritability (h2) for CHIP to be 9.3% using the sum of the scaled marginal effects of these 24 variants.”
Quote in the paperSubstantial claim - Findingown data
There is preliminary evidence of substantial infiltration of the brain by marrow-derived mutant cells, which adopted a microglial-like phenotype.
“we also provided preliminary evidence of substantial infiltration of the brain by marrow-derived mutant cells, which adopted a microglial-like phenotype.”
Quote in the paperSubstantial claim - Findingown data
CHIP was associated with lower levels of neuritic plaques and neurofibrillary tangles in those without dementia.
“Third, CHIP was associated with lower levels of neuritic plaques and neurofibrillary tangles in those without dementia”
Quote in the paperSubstantial claim - Findingown data
There is a very strong correlation between the proportion of mutated cells in peripheral blood and in occipital cortex MG from the six CHIP donors (R2 = 96%).
“We observed a very strong correlation between the proportion of mutated cells in peripheral blood and in occipital cortex MG from the six CHIP donors (R2 = 96%, Fig. 5f).”
Quote in the paperSubstantial claim - Findingown data
The mean proportion of MG amongst all glia was higher in occipital cortex samples from CHIP carriers (8.2%) than in controls (5.1%), P = 0.042.
“The mean proportion of MG amongst all glia was 5.1% in the four control occipital cortex samples (Fig. 5g), but this proportion was increased to 8.2% in the six occipital cortex samples from CHIP carriers (P = 0.042).”
Quote in the paperSubstantial claim - Findingown data
MR analyses were consistent with a causal role for CHIP in reducing AD risk.
“Second, MR analyses were consistent with a causal role for CHIP in reducing AD risk.”
Quote in the paperSubstantial claim- The authors state this as an assumption: The instrumental variables for CHIP are relevant, i.e., associated with CHIP.
- The authors state this as an assumption: The instrumental variables for CHIP are independent of unmeasured confounders.
- The authors state this as an assumption: The instrumental variables affect AD only through CHIP (exclusion restriction).
- Findingown data
CHIP is associated with protection from AD dementia in multiple cohorts.
“First, CHIP is associated with protection from AD dementia in multiple cohorts”
Quote in the paperSubstantial claim - Findingown data
Single-nucleus chromatin accessibility profiling of brain-derived nuclei in six CHIP carriers revealed that the mutated cells comprised a large proportion of the microglial pool in the samples examined.
“Single-nucleus chromatin accessibility profiling of brain-derived nuclei in six CHIP carriers revealed that the mutated cells comprised a large proportion of the microglial pool in the samples examined.”
Quote in the paperSubstantial claim- The authors state this as an assumption: All nonmicroglial hematopoietic cells in the brain samples were mutant.
- Findingown data
CHIP is not associated with APOE genotype.
“Thus, CHIP is not associated with APOE genotype.”
Quote in the paperSubstantial claim - Findingown data
A cutoff of VAF at 0.08 gave a nearly identical VAF distribution for CHIP clones in ADSP as compared to TOPMed.
“We empirically determined that a cutoff of VAF at 0.08 gave a nearly identical VAF distribution for CHIP clones in ADSP as compared to TOPMed (Extended Data Fig. 1).”
Quote in the paperSubstantial claim - Findingreasoning
The age and sex imbalance did not occur for APOE ε3/ε3 carriers.
“This age and sex imbalance did not occur for APOE ε3/ε3 carriers”
Quote in the paperSubstantial claim - Findingown data
The directionality of effect in all models indicated that increased genetic risk of CHIP was associated with higher blood pressure.
“However, the directionality of effect in all models indicated that increased genetic risk of CHIP was associated with higher blood pressure.”
Quote in the paperSubstantial claim - Findingown data
Overall, the paper observed a range of mutant MG from 30% to 95% in the six CHIP samples.
“Overall, we observed a range of mutant MG from 30% to 95% in the six CHIP samples (Fig. 5e and Supplementary Table 16).”
Quote in the paperNot a substantial claim - Findingown data
We did not find differences in chromatin accessibility between the MG from CHIP carriers compared to noncarriers that could explain the protection from AD.
“We did not find differences in chromatin accessibility between the MG from CHIP carriers compared to noncarriers that could explain the protection from AD.”
Quote in the paperNot a substantial claim - Interpretationown data
Mendelian randomization analyses supported a potential causal association between CHIP and AD.
“Mendelian randomization analyses supported a potential causal association.”
Quote in the paperSubstantial claim - Interpretationown data
These results suggest that CHIP may have a role in attenuating the risk of AD.
“While additional studies are required to validate the mechanistic findings, these results suggest that CHIP may have a role in attenuating the risk of AD.”
Quote in the paperSubstantial claim - Study design and conductown data
The very strong correlation between the mutant cell fraction in blood and MG argues against imprecision in the estimates due to stochastic variation from sample preparation or sequencing.
“we found a very strong correlation between the mutant cell fraction in blood and MG, arguing against imprecision in the estimates due to stochastic variation from sample preparation or sequencing.”
Quote in the paperSubstantial claim - Study design and conductnone given
The association between CHIP and protection from AD dementia could not be attributed to survival bias.
“an effect that could not be attributed to survival bias.”
Quote in the paperSubstantial claim - Study design and conductown data
VAF estimates were unlikely to be inflated by artifactual variant reads because amplicon sequencing of a brain sample from a donor without CHIP did not detect any mutant alleles.
“We also determined that the VAF estimates were unlikely to be inflated by artifactual variant reads because amplicon sequencing of a brain sample from a donor without CHIP did not detect any mutant alleles (Supplementary Table 14).”
Quote in the paperSubstantial claim - Study design and conductown data
VAF estimates from unsorted nuclei were consistent across replicates of the same sample.
“We confirmed that VAF estimates from unsorted nuclei were consistent across replicates of the same sample (Extended Data Fig. 4b).”
Quote in the paperSubstantial claim - Interpretationown data
There is a linear relationship between the size of the mutant clone in the periphery and infiltration of the brain.
“This suggests a linear relationship between the size of the mutant clone in the periphery and infiltration of the brain”
Quote in the paperSubstantial claim - Interpretationown data
Our study demonstrates that bone marrow-derived myeloid cells may enter the brain in humans as well.
“Our study demonstrates that this may be true in humans as well.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The ADSP selection strategy can lead to selection biases that confound a CHIP analysis.
“As CHIP is strongly associated with age, and to a lesser extent sex, this study design can lead to selection biases that confound a CHIP analysis.”
Quote in the paperSubstantial claim - Study design and conductown data
All MR methods robust to pleiotropy (weighted median, weighted mode, MR-RAPS, MR-PRESSO) provided similar effect estimates.
“All methods provided similar effect estimates.”
Quote in the paperSubstantial claim - Interpretationown data
Multiple brain regions in CHIP carriers are likely to be infiltrated by marrow-derived myeloid cells that resemble MG.
“suggesting that multiple brain regions in CHIP carriers are likely to be infiltrated by marrow-derived myeloid cells that resemble MG.”
Quote in the paperSubstantial claim - Interpretationown data
Several lines of evidence support the role of mutant, marrow-derived cells in protecting against the risk of AD.
“We provide here several lines of evidence supporting the role of mutant, marrow-derived cells in protecting against the risk of AD.”
Quote in the paperSubstantial claim - Study design and conductown data
Similar effect estimates in all cohorts examined argue against cohort-specific confounding.
“Finally, we obtained similar effect estimates in all of the cohorts we examined, arguing against cohort-specific confounding.”
Quote in the paperNot a substantial claim - Interpretationown data
CHIP has a possible modulating effect on the underlying pathophysiology of AD.
“indicating a possible modulating effect of CHIP on the underlying pathophysiology of AD.”
Quote in the paperSubstantial claim - Study design and conductown data
Contamination by circulating blood cells was ruled out as an explanation for the finding, as ~88% to 96% of the hematopoietic cells in the brain samples clustered as MG and were distinct from other immune cells.
“We were also able to rule out contamination by circulating blood cells as an explanation for this finding, as ~88% to 96% of the hematopoietic cells in the brain samples clustered as MG and were distinct from other immune cells.”
Quote in the paperSubstantial claim - Study design and conductown data
We were well-powered for the replication analysis in ADSP.
“Thus, we were well-powered for the replication analysis in ADSP.”
Quote in the paperNot a substantial claim - Premisenone given
None of the proximal genes to CHIP instrumental variables have an established biological link to Alzheimer's disease.
“None of these genes have an established biological link to AD”
Quote in the paperSubstantial claim - Interpretationreasoning
The linear relationship may contribute to the observed association between higher peripheral blood VAF and protection from AD dementia.
“and may contribute to the observed association between higher peripheral blood VAF and protection from AD dementia (Supplementary Table 6).”
Quote in the paperSubstantial claim - Study design and conductreasoning
The 24 independent variants associated with CHIP at P < 5 × 10−8 are strong instruments.
“Given the genome-wide significance threshold for inclusion, we consider these to be strong instruments.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Excluding participants with coronary heart disease or ischemic stroke prevents confounding by vascular dementia.
“As systemic atherosclerosis is a risk factor for vascular dementia, which can mimic AD dementia symptoms, we wished to exclude anyone with these conditions to prevent confounding.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 33
- May combine two claims. 22
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAPOE genotype is the strongest genetic risk factor for AD, with APOE ε2 conferring protection and APOE ε4 conferring higher risk compared to APOE ε3.
“APOE genotype is the strongest genetic risk factor for AD21, with APOE ε2 conferring protection from disease and APOE ε4 conferring higher risk, compared to the APOE ε3 allele”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [21] Yamazaki, Y., Zhao, N., Caulfield, T. R., Liu, C. C. & Bu, G. Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies. Nat. Rev. Neurol. 15, 501–518 (2019). source
The Introduction identifies APOE as a major risk determinant of late-onset AD and says ε2 is associated with decreased risk and ε4 with increased risk relative to ε3. It does not establish that APOE is the strongest genetic risk factor for AD generally; its risk-factor framing is specifically about late-onset AD. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationClone size, approximated by variant allele fraction, has previously been shown to be an important predictor of risk for blood cancer and cardiovascular outcomes.
“Clone size, which is approximated by the variant allele fraction (VAF), has previously been shown to be an important predictor of risk for blood cancer1,17 and cardiovascular outcomes8,9.”
Quote in the paperNot a substantial claim4 of 4 sources checked- cites [1] Jaiswal, S. et al. Age-related clonal hematopoiesis associated with adverse outcomes. N. Engl. J. Med. 371, 2488–98 (2014). source
- cites [17] Abelson, S. et al. Prediction of acute myeloid leukaemia risk in healthy individuals. Nature 559, 400–404 (2018). source
- cites [8] Jaiswal, S. et al. Clonal hematopoiesis and risk of atherosclerotic cardiovascular disease. N. Engl. J. Med. 377, 111–121 (2017). source
- cites [9] Bick, A. G. et al. Inherited causes of clonal haematopoiesis in 97,691 whole genomes. Nature 586, 763–768 (2020). source
Extended Data Fig. 1 (page unavailable) explicitly uses variant allele fraction to measure CHIP clone size. The Abstract and ‘Germline genetic determinants of CHIP’ section (pages unavailable) describe associations between CHIP and hematologic cancer or cardiovascular disease, but do not establish that clone size predicts risk for either outcome. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAPOE ε2 is the most protective common inherited variant for AD.
“which is the most protective common inherited variant for AD26.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [26] Serrano-Pozo, A., Das, S. & Hyman, B. T. APOE and Alzheimer’s disease: advances in genetics, pathophysiology, and therapeutic approaches. Lancet Neurol. 20, 68–80 (2021). source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA recent paper found that the genetic liability of CHIP was associated with an increased risk of lung, prostate, ovarian, oral and endometrial cancers.
“a recent paper found that the genetic liability of CHIP was associated with an increased risk of lung, prostate, ovarian, oral and endometrial cancers7”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [7] Kar, S. P. et al. Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis. Nat. Genet. https://doi.org/10.1038/s41588-022-01121-z (2022). source
Classified as probably not a substantial claim. May combine two claims.
PremisecitationMarrow-derived cells may have an ameliorative effect on neurodegenerative phenotypes in mice, possibly due to their superior phagocytic capacity.
“Marrow-derived cells may have an ameliorative effect on neurodegenerative phenotypes in mice33,34, possibly due to their superior phagocytic capacity35.”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [33] Simard, A. R., Soulet, D., Gowing, G., Julien, J. P. & Rivest, S. Bone marrow-derived microglia play a critical role in restricting senile plaque formation in Alzheimer’s disease. Neuron 49, 489–502 (2006). source
- cites [34] El Khoury, J. et al. Ccr2 deficiency impairs microglial accumulation and accelerates progression of Alzheimer-like disease. Nat. Med. 13, 432–438 (2007). source
- cites [35] Lund, H. et al. Competitive repopulation of an empty microglial niche yields functionally distinct subsets of microglia-like cells. Nat. Commun. 9, 4845 (2018). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPrevious observational studies have found inverse associations between cancer and Alzheimer's disease, but the mechanism for this is unknown.
“previous observational studies have found inverse associations between cancer and AD, but the mechanism for this is unknown50”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [50] Ospina-Romero, M. et al. Association between Alzheimer disease and cancer with evaluation of study biases: a systematic review and meta-analysis. JAMA Netw. Open 3, e2025515 (2020). source
Classified as probably not a substantial claim.
PremisecitationThere is a growing body of evidence from mice that bone marrow-derived myeloid cells can enter the brain during homeostasis.
“There is a growing body of evidence from mice that bone marrow-derived myeloid cells can enter the brain during homeostasis31,32.”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [31] Cugurra, A. et al. Skull and vertebral bone marrow are myeloid cell reservoirs for the meninges and CNS parenchyma. Science 373, eabf7844 (2021). source
The Introduction and Results report that, in mice, bone marrow-derived myeloid cells reach the dural meninges and other brain borders under homeostatic conditions. They distinguish this from entry into CNS parenchyma, which the paper reports following injury or neuroinflammation. Thus the source supports homeostatic entry to brain borders, but not clearly entry into brain tissue during homeostasis. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [32] Herisson, F. et al. Direct vascular channels connect skull bone marrow and the brain surface enabling myeloid cell migration. Nat. Neurosci. 21, 1209–1217 (2018). source
The Results section (“Tracking cell origins in different inflammatory sites”; page unavailable) reports skull marrow-derived cells in mouse brain parenchyma after induced meningoencephalitis. That supports entry into the brain, but the paper studies stroke and induced inflammation; it does not establish entry during homeostasis. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationCHIP mutations increase the fitness of HSCs and myeloid progenitors.
“as CHIP mutations are known to increase the fitness of HSCs and myeloid progenitors5”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [5] Jaiswal, S. & Elbert, B. L. Clonal hematopoiesis in human aging and disease. Science 366, eaan4673 (2019). source
The Introduction (page unavailable) describes mutations that confer a fitness advantage on HSCs, and “Mechanisms of clonal expansion” reports an HSC competitive advantage for some CHIP-associated mutations. The paper does not establish increased fitness in myeloid progenitors, and it notes that mice with certain CHIP-associated spliceosome mutations show an HSC competitive disadvantage. Thus the unqualified claim is broader than the evidence in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim.
PremisecitationGWAS have strongly implicated microglial genes involved in ligand recognition and phagocytosis, such as APOE, TREM2, CD33 and the MS4A cluster, in the biology of AD.
“GWAS have strongly implicated microglial genes involved in ligand recognition and phagocytosis, such as APOE, TREM2, CD33 and the MS4A cluster, in the biology of AD36.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [36] Efthymiou, A. G. & Goate, A. M. Late onset Alzheimer’s disease genetics implicates microglial pathways in disease risk. Mol. Neurodegener. 12, 43 (2017). source
The AD GWAS studies section links the MS4A cluster to AD risk, and the sequencing and rare-variants section describes TREM2’s role in ligand binding and microglial phagocytosis. The Conclusion also implicates CD33 and TREM2 in phagocytosis. But the common-variants section says the MS4A proteins’ exact function and ligand-binding partners remain unknown, so the claim overstates the evidence that all the listed genes have the stated functions. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingown datasnATAC-seq identified 14 clusters encompassing major brain and hematopoietic cell types, including one cluster containing microglia and myeloid cells from each sample (C6).
“We identified 14 clusters encompassing the major brain and hematopoietic cell types (Fig. 5a,b), including one cluster that contained previously described MG, as well as myeloid cells from each of our samples (C6; Fig. 5b, Extended Data Fig. 6 and Supplementary Table 15).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn CHS and FHS, the decrement in AD dementia risk associated with CHIP was similar among people with APOE ε3ε3 or an APOE ε4 allele, but not seen in those with APOE ε2ε2 or APOE ε2ε3 genotypes.
“In CHS and FHS, the decrement in risk for AD dementia associated with CHIP was of a similar magnitude among people with the APOE ε3ε3 genotype or with an APOE ε4 allele, but not seen in those with APOE ε2ε2 or APOE ε2ε3 genotypes”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCHIP somatic variants were found in the NeuN− c-MAF+ population in seven of eight brains, with VAF from 0.02 to 0.28, representing 4% to 56% of NeuN− c-MAF+ nuclei.
“We observed that the same mutations found in blood were also detected in microglia-enriched fraction of the brain in seven of eight CHIP carriers.”
- Also stated in: § Detection of CHIP variants in the human brain · plain
“The CHIP somatic variants were found in the NeuN− c-MAF+ population in seven out of eight brains, with a VAF that ranged from 0.02 to 0.28 (representing 4% to 56% of NeuN− c-MAF+ nuclei).”
Quote in the paperSubstantial claim- Also stated in: § Detection of CHIP variants in the human brain · plain
May combine two claims.
Findingown dataRegression models examining the interaction of CHIP with APOE genotype showed a consistent direction of effect as the stratified models for both AD and ADNC, although individual interaction terms did not reach statistical significance.
“Regression models that examined the interaction of CHIP with APOE genotype showed a consistent direction of effect as the stratified models for both AD and ADNC, although the individual interaction terms did not reach statistical significance”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataReclustering cells within C6 identified three subclusters with accessibility profiles consistent with MG, but no consistent differences in subcluster proportions between CHIP and non-CHIP samples.
“We identified three subclusters, all of which exhibited accessibility profiles consistent with MG, but we did not observe consistent differences in subcluster proportions between CHIP and non-CHIP samples”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSmall numbers of cells in brain samples clustered with circulating immune cells, predominantly T cells, and were found in all unsorted brains (mean = 7.2%, range 3.7-12.5%).
“Small numbers of cells in our brain samples clustered with circulating immune cells, predominantly T cells, and were found in all unsorted brains (mean = 7.2% of total hematopoietic cells, range 3.7–12.5%).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAPOE genotype was strongly associated with AD dementia risk in those without CHIP age 60 years or older (P = 8.1 × 10−8), but not in CHIP carriers of the same age (P = 0.42).
“APOE genotype was strongly associated with AD dementia risk in those without CHIP age 60 years or older (P = 8.1 × 10−8 by log-rank test), but not in CHIP carriers of the same age (P = 0.42 by log-rank test)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn ADSP participants without dementia, ADNC was lower in CHIP carriers compared to noncarriers with APOE ε3ε3 or an APOE ε4 allele, but not in those with APOE ε2ε2 or APOE ε2ε3 genotypes.
“In ADSP participants without dementia, ADNC was lower in CHIP carriers compared to noncarriers with the APOE ε3ε3 genotype or with an APOE ε4 allele, but this effect was seen not in those with APOE ε2ε2 or APOE ε2ε3 genotypes”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe percentage of MG ranged from 7.6% to 25% in the sorted samples, representing an 11.5-fold to 34.5-fold enrichment for MG in the occipital cortex and cerebellum.
“We determined that the percentage of MG ranged from 7.6% to 25% in the sorted samples, representing an 11.5-fold to 34.5-fold enrichment for MG in the occipital cortex and cerebellum”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn MR using CHIP as exposure and systolic blood pressure as outcome, there was a significant effect in some methods but not others (IVW effect = 0.144, P = 0.62; weighted median effect = 0.666, P = 6.3 × 10−5; MR-PRESSO effect = 0.144, P = 0.63; MR-RAPS effect = 0.173, P = 0.014).
“We found that there was a significant effect in some methods, but not others (IVW, effect = 0.144, P = 0.62; weighted median, effect = 0.666, P = 6.3 × 10−5; MR-PRESSO, effect = 0.144, P = 0.63; MR-RAPS, effect = 0.173, P = 0.014).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmongst APOE ε4 carriers, AD cases were strongly enriched for younger females and controls were preferentially older males.
“This is illustrated by the distribution of AD cases and controls amongst APOE ε4 carriers, where AD cases were strongly enriched for younger females and controls were preferentially older males.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationMicroglia are believed to have little contribution from marrow-derived cells in adulthood.
“MG are believed to have little contribution from marrow-derived cells in adulthood23, so it would be surprising to find the mutations in this compartment.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Ginhoux, F. & Jung, S. Monocytes and macrophages: developmental pathways and tissue homeostasis. Nat. Rev. Immunol. 14, 392–404 (2014). source
May combine two claims.
Interpretationown dataCHIP somatic variants were not detected in the NeuN+ c-MAF− neuronal population and were absent or at low levels in the other two populations, effectively excluding granulocytes and lymphocytes as the source of the mutations.
“In contrast, CHIP somatic variants were not detected in the NeuN+ c-MAF− neuronal population and were absent or at low levels in the other two populations (Fig. 4c and Extended Data Fig. 3), effectively excluding granulocytes and lymphocytes as the source of the mutations.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe cells in C6 exhibit aggregate similarity to microglia and are distinct from monocytes (C7) and dendritic cells (C8).
“In total, these results indicate that the cells in C6 exhibit aggregate similarity to MG and are distinct from monocytes (C7) and dendritic cells (C8).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataVAF measurement in the NeuN− c-MAF+ gate for four mutations was reproducible across replicates.
“To determine whether the observed VAF was reproducible across replicates, we repeated the VAF measurement in the NeuN− c-MAF+ gate for four mutations and obtained concordant results”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe linearity assumption was met.
“visual examination of a plot of the Martingale residuals for age revealed that the linearity assumption was met.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationreasoningWe cannot currently conclude that the mechanism of protection from AD seen in CHIP carriers is due to these infiltrating cells.
“Therefore, while the data presented here are suggestive, we cannot currently conclude that the mechanism of protection from AD seen in CHIP carriers is due to these infiltrating cells.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningTo exclude confounding due to survivorship bias, the analysis used competing risk regression with death as the competing risk.
“To exclude confounding due to survivorship bias, we performed the analysis using CRR, with death as the competing risk.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationMid-life hypertension has been reported to be associated with an increased risk of Alzheimer's disease in observational studies.
“As mid-life hypertension has been reported to be associated with an increased risk of AD in observational studies52”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Reitz, C., Brayne, C. & Mayeux, R. Epidemiology of Alzheimer disease. Nat. Rev. Neurol. 7 137–152 (2011). source
Classified as probably not a substantial claim.
Premisenone givenSome proximal genes to CHIP instrumental variables (TERT, PARP1, ATM, TP53, BCL2L1, SETBP1) are thought to be relevant to cancers generally, including solid tumors.
“some are thought to be relevant to cancers generally, including solid tumors (TERT, PARP1, ATM, TP53, BCL2L1 and SETBP1)”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Study design and conductnone givenThe selected germline IVs are independent of sex and other unlinked genetic variants.
“Clearly, our selected germline IVs are independent of sex and other unlinked genetic variants.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningIncluding family as a cluster variable in the CRR model for FHS controls for biased estimates due to correlated genetic or environmental factors.
“To control for this possibility, we also included family as a cluster variable in the CRR model for FHS using the R package crrSC”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationAdjudication for Alzheimer's phenotypes was done by a committee comprising at least two neurologists and a neuropsychologist.
“Adjudication for Alzheimer’s phenotypes was done by a committee41, comprising at least two neurologists and a neuropsychologist.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [41] Seshadri, S. et al. Plasma homocysteine as a risk factor for dementia and Alzheimer’s disease. N. Engl. J. Med. 346, 476–483 (2002). source
May combine two claims.
InterpretationreasoningGiven that higher blood pressure is a risk factor for Alzheimer's disease, the positive association between genetic risk of CHIP and blood pressure does not explain the inverse association between CHIP and Alzheimer's disease seen in the MR analysis and observational study.
“Given that higher blood pressure is a risk factor for AD, this does not explain the inverse association between CHIP and AD seen in our MR analysis and observational study.”
Quote in the paperSubstantial claim- Rests on an assumption: Higher blood pressure is a risk factor for Alzheimer's disease.
Classified as probably not a substantial claim.
Study design and conductown dataTo confirm the reproducibility of the VAF measurements, DNA from unsorted brain nuclei or sorted Maf+ NeuN− was used for library prep and sequencing in a second replicate.
“To confirm the reproducibility of the VAF measurements, DNA from unsorted brain nuclei or sorted Maf+ NeuN− was used for library prep and sequencing in a second replicate.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe proportional hazards assumption was met for each covariate.
“visual examination of a plot of the Schoenfeld residuals revealed that the proportional hazards assumption was met for each covariate”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataThe observation that the effect sizes were similar with several different driver genes suggests that there could be shared mechanisms leading to protection from AD across several different mutations.
“The observation that the effect sizes were similar with several different driver genes suggests that there could be shared mechanisms leading to protection from AD across several different mutations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenIt is unlikely that tumors of solid organs could directly influence the biology of Alzheimer's disease.
“It is unlikely that tumors of solid organs could directly influence the biology of AD.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationCHIP has moderate heritability relative to other traits.
“CHIP has moderate heritability relative to other traits”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe 1,104 AD cases and 1,446 controls were well matched by age.
“we had 1,104 AD cases and 1,446 controls who were well matched by age.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenThe estimated fraction of mutant cells is likely more reliable from the unsorted brain.
“although the estimated fraction of mutant cells is likely more reliable from the unsorted brain.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataTo rule out sequencing errors or other technical artifacts that could artificially inflate the mutant allele fraction, amplicon sequencing using the same primers was performed on a negative control brain sample from a donor known not to be a CHIP carrier.
“To rule out sequencing errors or other technical artifacts that could be artificially inflating the mutant allele fraction, we also performed amplicon sequencing using the same primers on a negative control brain sample from a donor known to not be a CHIP carrier.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenConsent for brain donation was obtained from each donor and the study was approved by the University of Washington Institutional Review Board and by the Kaiser Permanente Washington Institutional Review Board.
“Consent for brain donation was obtained from each donor and the study was approved by the University of Washington Institutional Review Board and by the Kaiser Permanente Washington Institutional Review Board.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAfter clustering, reproducible peaks were determined for each cluster individually to ensure that cell type-specific peaks were retained.
“After clustering, reproducible peaks were determined for each cluster individually to ensure that cell type-specific peaks were retained.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown data§ or 103%.Simulations indicated that the confidence intervals for the estimate of mutant MG are not overly broad based on expected input parameters.
“These simulations indicated that the confidence intervals for the estimate of mutant MG are not overly broad based on expected input parameters.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenDoublets were removed in two steps: first, based on similarity to computationally simulated doublets; second, after initial clustering, a cluster of putative doublets weakly enriched for markers of multiple cell types was removed and the remaining nuclei were reprocessed and reclustered.
“Doublets were removed in two steps. First, for each sample, doublets were predicted and removed based on similarity to computationally simulated doublets. Second, after initial clustering, we identified a cluster of putative doublets that was weakly enriched for markers of multiple cell types. This cluster was removed and the remaining nuclei were reprocessed and reclustered.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningAlthough Harmony batch correction is implemented and part of the standard workflow in ArchR, no batch correction was used to ensure that any biological differences between the samples would be preserved.
“Although Harmony batch correction is implemented and part of the standard workflow in ArchR, we did not use any batch correction to ensure that any biological differences between the samples would be preserved.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenThe eight CHIP carriers represented all donors known to have CHIP and with autopsy specimens available, and the four without CHIP represented a random selection of the study cohort.
“The eight CHIP carriers represented all donors known to have CHIP and with autopsy specimens available. The four without CHIP represented a random selection of the study cohort.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
All nonmicroglial hematopoietic cells in the brain samples were mutant.
“We conservatively assumed that all nonmicroglial hematopoietic cells were mutant and subtracted the number of these cells from the total mutant cell count”
The authors state this as an assumption.
The instrumental variables for CHIP are relevant, i.e., associated with CHIP.
“The assumptions for the validity of MR analyses are relevance, independence and exclusion restriction of the independent variables (IVs)48.”
The authors state this as an assumption.
The instrumental variables for CHIP are independent of unmeasured confounders.
“Independence: This assumption presupposes that the CHIP IVs are not associated with unmeasured confounders.”
The authors state this as an assumption.
The instrumental variables affect AD only through CHIP (exclusion restriction).
“The assumptions for the validity of MR analyses are relevance, independence and exclusion restriction of the independent variables (IVs)48.”
The authors state this as an assumption.
All nonmicroglial hematopoietic cells were mutant.
“We assumed that all nonmicroglial hematopoietic cells were mutant”
The authors state this as an assumption.
Only hematopoietic cells can carry the CHIP variant.
“We assume that only hematopoietic cells can carry the CHIP variant.”
The paper relies on this without support.
Higher blood pressure is a risk factor for Alzheimer's disease.
“Given that higher blood pressure is a risk factor for AD”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The protective association between CHIP and AD was strongest among APOE ε3/ε3 individuals, whereas no significant effect was detected in ε2 or ε4 carriers.
“Stratification by APOE genotype indicated that the protective association was strongest among APOE ε3/ε3 individuals, whereas no significant effect was detected in ε2 or ε4 carriers [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results section, “Stratified associations between CHIP and AD” (page unavailable), says the reduction in AD dementia risk was of similar magnitude in APOE ε3/ε3 individuals and ε4 carriers, rather than strongest in ε3/ε3 individuals alone. It also reports lower AD neuropathologic change in both groups; the effect was not seen in the ε2/ε2 or ε2/ε3 groups. The nonsignificant interaction terms do not establish an absence of an effect in ε4 carriers. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredTwo recent studies investigating CHIP variants primarily using whole-exome sequencing data from blood cells found no effect or a protective effect on Alzheimer's disease risk.
“Two recent studies investigating CHIP variants primarily using whole-exome sequencing (WES) data from blood cells found no effect24 or a protective effect25 on AD risk.”
From Somatic cancer variants enriched in Alzheimer’s disease microglia-like cells drive inflammatory and proliferative states (2026) · cites this paper as [25]
The Results (Association between CHIP and AD dementia; page not available) report a protective association between CHIP and Alzheimer’s dementia, including in the blood-derived WES replication cohort. But the discovery cohorts identified CHIP from blood-derived whole-genome sequencing, so describing this study as primarily using WES is not supported by the cited passages. The separate “no effect” finding is attributed to citation 24, not this paper. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThere is conflicting evidence regarding the impact of CH on Alzheimer's disease.
“However, there is conflicting evidence regarding the impact of CH on Alzheimer’s disease (AD).5,10”
From TET2-mutant myeloid cells mitigate Alzheimer’s disease progression via CNS infiltration and enhanced phagocytosis in mice (2025) · cites this paper as [5]
The Results (Association between CHIP and AD dementia; page unavailable) report that CHIP was associated with lower AD dementia risk, contrary to the authors’ expectations. The Methods (Statistical analysis plan; page unavailable) explain that those expectations came from prior findings on inflammation and mouse AD phenotypes, not from a conflicting finding about CH and AD. This source supplies one side of the cited sentence but does not itself establish conflicting evidence on the CH–AD association. (LLM, conf=0.80)
Experimental — accuracy not yet measuredDuring neurodegeneration, blood-brain barrier integrity declines, which may facilitate peripheral monocytes to infiltrate the CNS and differentiate into microglia-like cells.
“during neurodegeneration, the integrity of the blood–brain barrier declines. This may facilitate debated levels of peripheral monocytes to infiltrate the central nervous system and differentiate into microglia-like cells.”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Discussion (page unavailable) proposes that peripherally derived myeloid cells may enter the brain, and the Results describe MG-like cells in brain samples. But the paper does not say that blood–brain barrier integrity declines during neurodegeneration or that such a decline enables entry; it also does not establish that the cells are infiltrating monocytes that differentiate into MG-like cells. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSomatic mutations present in the peripheral hematopoietic system could theoretically be imported into the brain's immune environment, posing a mechanistic link between systemic aging and local neuroinflammation.
“any somatic mutations present in the peripheral hematopoietic system could theoretically be imported into the brain’s immune environment, posing a mechanistic link between systemic aging and local neuroinflammation [10,24,25,26].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results (Detection of CHIP variants in the human brain) found blood-associated CHIP mutations in a brain cell population, and the Discussion proposes that peripheral myeloid cells may enter the brain. This supports the proposed route from blood to brain, but the paper examines CHIP mutations—not any somatic mutation—and does not establish a mechanistic link to local neuroinflammation. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Emerging data suggest mutation-specific effects of CHIP may uniquely modulate neurodegenerative pathogenesis.
“emerging data suggest mutation-specific effects that may uniquely modulate neurodegenerative pathogenesis [10,14].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Discussion (page unavailable) suggests that CHIP may modulate Alzheimer’s disease pathology, supporting the broad neurodegenerative-pathogenesis point. But it says effect sizes were similar across several mutated driver genes and suggests shared mechanisms, rather than showing unique mutation-specific effects. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe impact of clonal hematopoiesis on AD risk is strongly dependent on the identity of the driver gene and host genetic context.
“Accumulating evidence indicates that the impact of clonal hematopoiesis on AD risk is strongly dependent on the identity of the driver gene and host genetic context [10,13].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results section ('Stratified associations between CHIP and AD'; page unavailable) reports suggestive differences by host APOE genotype, but says the interaction terms were not statistically significant and require confirmation. The same section says the most commonly mutated driver genes were associated with protection from AD dementia to a similar degree, contrary to the claim of strong dependence on driver-gene identity. (LLM, conf=0.88)
Experimental — accuracy not yet measuredTET2 mutations have been most consistently associated with enhanced amyloid clearance and attenuated neuropathology in experimental systems.
“While TET2 mutations have been most consistently associated with enhanced amyloid clearance and attenuated neuropathology in experimental systems [10,14]”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results section, ‘Association between CHIP and ADNC’ (page unavailable), reports lower amyloid-plaque and neurofibrillary-tangle scores in human CHIP carriers. The Discussion (page unavailable) proposes improved phagocytosis as a possible mechanism, but does not establish enhanced amyloid clearance, a TET2-specific effect, or the claimed pattern in experimental systems. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThree independent analytical frameworks have been applied to the same ADSP cohort, yielding disparate results.
“Notably, three independent analytical frameworks have now been applied to the same ADSP cohort, yielding disparate results.”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results (Association between CHIP and AD dementia; page unavailable) describe one analysis of ADSP and report an association between CHIP and lower AD dementia risk. The paper does not establish that three independent analytical frameworks were applied to the same ADSP cohort or that their results were disparate. (LLM, conf=0.85)
Experimental — accuracy not yet measuredBoth Bouzid et al. and Choi et al. relied on the ADSP as a validation cohort yet arrived at strikingly opposed conclusions, underscoring the sensitivity of inferred CHIP effects to methodological heterogeneity.
“Notably, both studies relied on the ADSP as a validation cohort yet arrived at strikingly opposed conclusions, underscoring the sensitivity of inferred CHIP effects to methodological heterogeneity.”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results (Association between CHIP and AD dementia; page not provided) confirm that Bouzid et al. used ADSP to replicate their finding and reported a lower risk of AD dementia among CHIP carriers. The Methods (Statistical analysis plan; page not provided) discuss how selection and sequencing differences can affect CHIP analyses. Our copy does not establish that Choi et al. also used ADSP or reached an opposed conclusion, so it cannot substantiate the comparison between the two studies. (LLM, conf=0.85)
Experimental — accuracy not yet measuredGene-specific effects, clonal burden, host genetic background, and neurovascular integrity all shape whether CHIP-derived immune cells exert protective or pathogenic influences in the aging brain.
“Gene-specific effects, clonal burden, host genetic background, and neurovascular integrity all shape whether CHIP-derived immune cells exert protective or pathogenic influences in the aging brain [10,11,13,19,33,34].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results (Association between CHIP and AD dementia; Stratified associations between CHIP and AD) link greater clonal burden to lower AD risk and report suggestive differences by APOE genotype. The Discussion reports similar protective associations across several driver genes, rather than established gene-specific protective or pathogenic effects. The paper does not show that neurovascular integrity determines these effects, and it cautions that the infiltrating cells’ protective mechanism remains unproven. (LLM, conf=0.89)
Experimental — accuracy not yet measuredInferred CHIP-AD associations are strongly shaped by methodological choices, including CHIP definition (VAF 2% vs. 8%) and cohort stratification based on APOE genotype.
“This suggests that inferred CHIP-AD associations are strongly shaped by methodological choices, including CHIP definition (VAF 2% vs. 8%) and cohort stratification based on APOE genotype.”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results (‘Association between CHIP and AD dementia’; page not provided) report different effect estimates with VAF cutoffs above 8% and above 2%. The Results (‘Stratified associations between CHIP and AD’; page not provided) also report differing patterns across APOE groups, but say the interaction terms were not statistically significant and require confirmation. Thus, the analyses support sensitivity to these choices, but ‘strongly shaped’ overstates the APOE evidence. (LLM, conf=0.84)
Experimental — accuracy not yet measuredMechanistic insights provide a plausible biological framework for the heterogeneous and sometimes contradictory epidemiological findings observed across studies, particularly those derived from shared cohorts such as the ADSP.
“These mechanistic insights provide a plausible biological framework for the heterogeneous and sometimes contradictory epidemiological findings observed across studies, particularly those derived from shared cohorts such as the ADSP [10,13,34].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Discussion proposes a biological mechanism in which marrow-derived mutant cells enter the brain and may protect against Alzheimer’s disease, but cautions that this mechanism is not established. The Methods (Statistical analysis plan) describe selection biases that can confound CHIP analyses in ADSP. The paper does not say that its proposed mechanism explains heterogeneous or contradictory epidemiological findings across studies. (LLM, conf=0.83)
Experimental — accuracy not yet measuredDNMT3A-mutant CHIP has shown protective associations with cognitive outcomes in some population-based and clinical cohorts as well as specific subgroups, particularly for larger clones and in select disease contexts.
“DNMT3A-mutant CHIP has shown protective associations with cognitive outcomes in some population-based and clinical cohorts as well as specific subgroups in these studies, particularly for larger clones and in select disease contexts [10,11,19,33].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results (Association between CHIP and AD dementia; Stratified associations between CHIP and AD; pages unavailable) report lower Alzheimer’s dementia risk across the studied cohorts and analyze associations by mutated driver gene and APOE subgroup. The Results also link larger CHIP clones with greater protection, and the Discussion describes similar effect sizes across driver genes. These passages support a protective association that includes DNMT3A-mutant CHIP, but they do not establish that the larger-clone finding is specific to DNMT3A or extend the finding to other cognitive outcomes or disease contexts. (LLM, conf=0.83)
Experimental — accuracy not yet measuredMultiple epidemiological studies have identified the Apolipoprotein E genotype, particularly APOE ε3/ε3 alleles, as a key modifier of CHIP-associated AD risk.
“Multiple epidemiological studies have identified the Apolipoprotein E genotype, particularly APOE ε3/ε3 alleles, as a key modifier of CHIP-associated AD risk [10,13].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results section (‘Stratified associations between CHIP and AD’; page not provided) reports that the association between CHIP and lower AD risk was observed in APOE ε3ε3 and ε4 groups, but not ε2 groups, across the cohorts examined. It calls these findings suggestive, notes that the interaction terms were not statistically significant, and says larger cohorts are needed for confirmation. Thus, describing APOE ε3ε3 in particular as an established key modifier overstates the evidence. (LLM, conf=0.85)
Experimental — accuracy not yet measuredCHIP-mutated clones not only populate the brain's immune compartment but can exhibit a higher variant allele fraction within the isolated microglial pool than in the peripheral blood.
“In contrast to earlier assumptions of restricted infiltration, it has been demonstrated that CHIP-mutated clones not only populate the brain’s immune compartment but can exhibit a higher variant allele fraction (VAF) within the isolated microglial pool than in the peripheral blood [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results sections on detection of CHIP variants in the human brain and single-nucleus profiling report CHIP variants in a microglia-enriched brain fraction and estimate that 30%–95% of microglia carried a mutation. They report a strong correlation with the mutant-cell fraction in blood, but do not establish a higher VAF in an isolated microglial pool than in peripheral blood; the paper also notes that the sorted fraction contained many nonmicroglial cells. Page numbers were not provided in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe net effect of CHIP on Alzheimer's disease risk is determined by the balance between protective neuroimmune modulation and deleterious vascular and inflammatory influences, shaped by mutation type, clonal burden, disease stage, and host genetic background, including the APOE genotype.
“The net effect of CHIP on Alzheimer’s disease risk is, therefore, determined by the balance between protective neuroimmune modulation and deleterious vascular and inflammatory influences, shaped by mutation type, clonal burden, disease stage, and host genetic background, including the APOE genotype [10,13].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredCHIP-associated mutations can be detected in microglia resident in the brain and correlate with peripheral clonal burden, but this phenomenon appears to fluctuate and is context-dependent.
“While recent evidence demonstrates that CHIP-associated mutations can be detected in microglia resident in the brain and correlate with peripheral clonal burden, this phenomenon appears to fluctuate and is context-dependent [10,34].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results section on single-nucleus chromatin accessibility profiling reports CHIP-mutated microglia-like cells and a strong correlation between their proportion in occipital cortex and the mutant-cell proportion in peripheral blood. It also reports different proportions across three brain regions in one donor, supporting regional variation. The paper does not show that the phenomenon fluctuates over time; its Discussion raises context-dependent microglial phenotypes as a possibility rather than an established finding. Page numbers are unavailable in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSeveral studies report that the CHIP-associated risk of AD differs substantially by APOE genotype, with effects appearing most pronounced in individuals with APOE ε3/ε3.
“Several studies report that the CHIP-associated risk of AD differs substantially by APOE genotype, with effects appearing most pronounced in individuals with APOE ε3/ε3 [10,13].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The Results section, “Stratified associations between CHIP and AD,” reports an apparent difference by APOE genotype: the protective association was seen in ε3/ε3 and ε4 carriers, but not in ε2/ε2 or ε2/ε3 carriers. It says the association was of similar magnitude in ε3/ε3 and ε4 carriers, not most pronounced in ε3/ε3, and cautions that the interaction terms were not statistically significant and the findings require confirmation. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe enrichment of somatic variants in Alzheimer's disease was confirmed when considering only CHIP variants previously identified from blood whole-genome sequencing datasets.
“We further confirmed the enrichment of somatic variants in AD when considering only CHIP variants previously identified from blood whole-genome sequencing datasets25,37 (Figure S3A–C).”
From Somatic cancer variants enriched in Alzheimer’s disease microglia-like cells drive inflammatory and proliferative states (2026) · cites this paper as [25]
A few small studies of primary brain samples have hinted that cancer-associated variants and clonal overgrowth might occur in brain microglia.
“A few small studies of primary brain samples have hinted that cancer-associated variants and clonal overgrowth might occur in brain microglia, which proliferate throughout life25,27,28.”
From Somatic cancer variants enriched in Alzheimer’s disease microglia-like cells drive inflammatory and proliferative states (2026) · cites this paper as [25]
Peripheral immune cells may replace microglial populations, though this is controversial.
“Peripheral immune cells may also replace microglial populations,5,23,30–32 though this is controversial.”
From TET2-mutant myeloid cells mitigate Alzheimer’s disease progression via CNS infiltration and enhanced phagocytosis in mice (2025) · cites this paper as [5]
Large-scale population-based analyses suggest that CHIP carriers may exhibit a significantly reduced incidence of clinically diagnosed AD.
“evidence for protective effects stems from large-scale population-based analyses, encompassing cohorts ranging from approximately 5000 to over 500,000 individuals, suggest that CHIP carriers may exhibit a significantly reduced incidence of clinically diagnosed AD [10,11].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
CHIP carriers exhibit a reduced risk of AD dementia compared with non-carriers, independent of age, sex, and APOE genotype.
“the authors demonstrate that CHIP carriers exhibit a reduced risk of AD dementia compared with non-carriers, independent of age, sex, and APOE genotype [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Meta-analysis across cohorts revealed a 36% reduction in AD risk among CHIP carriers.
“Meta-analysis across cohorts revealed a 36% reduction in AD risk among CHIP carriers [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
CHIP carriers displayed lower CERAD scores, representing reduced burden of neuritic amyloid plaque and reduced Braak staging, indicating less advanced regional progression and severity of tau pathology.
“CHIP carriers displayed lower Consortium to Establish a Registry for Alzheimer’s Disease (CERAD) scores, representing a reduced burden of neuritic amyloid plaque and reduced Braak staging. These factors indicate less advanced regional progression and severity of tau pathology [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
CHIP-derived myeloid cells can directly integrate into the central nervous system and may participate actively in neuroimmune processes relevant to AD pathogenesis.
“This presence confirms that CHIP-derived myeloid cells can directly integrate into the central nervous system and may participate actively in neuroimmune processes relevant to AD pathogenesis [10,37].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Protection from AD was primarily driven by larger clones (>8% VAF), with weaker effects observed at lower VAF thresholds (>2%).
“Protection from AD was primarily driven by larger clones (>8%), with weaker effects observed at lower VAF thresholds (>2%) [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Protection from AD was observed across multiple CHIP-associated genes, suggesting a general effect of CH rather than a strictly gene-specific association.
“protection was observed across multiple CHIP-associated genes, suggesting a general effect of CH rather than a strictly gene-specific association [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Differences between CHIP-AD studies likely stem in part from divergent sampling strategies and selection bias, including the stringent APOE-stratified sampling strategy employed by Bouzid et al.
“These differences likely stem in part from divergent sampling strategies and inherent selection bias in defining and selecting CHIP-positive individuals, including the stringent APOE-stratified sampling strategy employed by Bouzid et al.”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Post-mortem analyses by Bouzid et al. demonstrated that a subset of microglia from CHIP carriers harbored identical somatic mutations compared to those observed in peripheral blood, with mutation frequencies correlating with peripheral clonal burden.
“Post-mortem analyses by Bouzid et al. demonstrated that a subset of microglia from CHIP carriers harbored identical somatic mutations compared to those observed in peripheral blood, with mutation frequencies correlating with peripheral clonal burden [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Large CHIP clones in the ADSP cohort have been associated with reduced AD risk and attenuated neuropathology, while smaller clones, mosaic chromosomal alterations, and specific genetic contexts may have increased susceptibility.
“While large CHIP clones in the ADSP cohort have been associated with a reduced AD risk and attenuated neuropathology [10], smaller clones, mosaic chromosomal alterations [34], and specific genetic contexts, most notably APOE stratification, may have increased susceptibility [13].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Clonal burden is a critical determinant of phenotypic effect.
“However, several studies have demonstrated that clonal burden is a critical determinant of phenotypic effect.”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Protective associations with AD and attenuated neuropathology were observed predominantly in individuals carrying large CHIP clones, typically defined by VAF thresholds of ≥8%, whereas smaller clones showed weaker, null, or inconsistent associations.
“In particular, protective associations with AD and attenuated neuropathology were observed predominantly in individuals carrying large CHIP clones, typically defined by VAF thresholds of ≥8%; however, smaller clones showed weaker, null, or inconsistent associations [10,33].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
The presence of mutated microglia-like cells in the brain's immune niche suggests a selective fitness advantage or preferential recruitment of mutated myeloid cells to the central nervous system.
“suggesting a selective fitness advantage or preferential recruitment of mutated myeloid cells to the central nervous system [10].”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Single-nucleus sequencing has revealed that mutated microglia-like cells can constitute a substantial proportion of the brain's immune niche.
“Specifically, single-nucleus sequencing has revealed that mutated microglia-like cells can constitute a substantial proportion of the brain’s immune niche”
From Clonal Hematopoiesis of Indeterminate Potential as an Emerging Interdisciplinary Risk Factor in Alzheimer’s Disease: Current Evidence and Future Directions (2026) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
CHS analysis sample is reported as both 743 and 620
MajorThe Methods state that 743 CHS participants remained after excluding those missing AD diagnosis information, but later say that 620 remained after excluding those without AD diagnosis information.
“After exclusion of participants with coronary heart disease or stroke, or with missing information on age at blood draw or AD diagnosis, a total of 743 persons remained for this analysis.”
“After excluding those without information on AD diagnosis, there were 2,437 persons in FHS and 620 persons in CHS.”
Brain WES sample count differs between text and figure
MinorThe Results report brain-derived WES data from 1,776 people, whereas the caption for the corresponding figure reports 1,775.
“We first obtained brain DNA-derived WES data from 1,776 persons in ADSP”
“a, Barplot of putative CHIP mutations identified from whole exome sequencing of brain DNA from 1,775 persons in ADSP.”
Mutant-microglia calculation points to the wrong figure panel
MinorThe Methods point to Fig. 5d for the fraction of mutated microglia, but the caption identifies Fig. 5d as chromatin-accessibility tracks and Fig. 5e as the mutant-microglia calculation.
“To evaluate the fraction of mutated MG (as shown in Fig. 5d and Supplementary Table 16)”
“e, Calculation of the proportion of MG bearing a CHIP mutation in each sample.”
Two different CHS counts are assigned to the same APOE genotype
MinorThe CHS genotype breakdown lists both 424 and 162 people with the ε3ε4 genotype, without distinguishing the two groups.
“424 people with ε3ε4 genotype”
“162 people with ε3ε4 genotype”
Cites
Bowden, J., Davey Smith, G., Haycock, P. C., & Burgess, S. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21965 · Cited by 8,922 · see citing works
Verbanck, M., Chen, C.-Y., Neale, B., & Do, R. (2018) · Nature Genetics · doi:10.1038/s41588-018-0099-7 · Cited by 8,591 · see citing works
Neuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226 · see citing works
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data
Burgess, S., Butterworth, A., & Thompson, S. G. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21758 · Cited by 6,050 · see citing works
Age-related clonal hematopoiesis associated with adverse outcomes
Jaiswal, S., Fontanillas, P., Flannick, J., Manning, A., Grauman, P. V., Mar, B. G., Lindsley, R. C., Mermel, C. H., Burtt, N., Chavez, A., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1408617 · Cited by 4,841 · cited 2× · see citing works
“Clone size, which is approximated by the variant allele fraction (VAF), has previously been shown to be an important predictor of risk for blood cancer (4, 15) and cardiovascular outcomes (6, 7).”
Self-citationSkrivankova, V. W., Richmond, R. C., Woolf, B. A. R., Yarmolinsky, J., Davies, N. M., Swanson, S. A., VanderWeele, T. J., Higgins, J. P. T., Timpson, N. J., Dimou, N., et al. (2021) · JAMA · doi:10.1001/jama.2021.18236 · Cited by 3,994 · see citing works
Clonal hematopoiesis and blood-cancer risk inferred from blood DNA sequence
Genovese, G., Kähler, A. K., Handsaker, R. E., Lindberg, J., Rose, S. A., Bakhoum, S. F., Chambert, K., Mick, E., Neale, B. M., Fromer, M., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1409405 · Cited by 3,531 · see citing works
Plasma Homocysteine as a Risk Factor for Dementia and Alzheimer's Disease
Seshadri, S., Beiser, A., Selhub, J., Jacques, P. F., Rosenberg, I. H., D'Agostino, R. B., Wilson, P. W. F., & Wolf, P. A. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa011613 · Cited by 3,237 · see citing works
Self-citationBraak, H., Alafuzoff, I., Arzberger, T., Kretzschmar, H., & Del Tredici, K. (2006) · Acta Neuropathologica · doi:10.1007/s00401-006-0127-z · Cited by 3,172 · see citing works
Hyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., et al. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.10.007 · Cited by 3,092 · see citing works
Self-citationAlzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Self-citationClonal hematopoiesis and risk of atherosclerotic cardiovascular disease
Jaiswal, S., Natarajan, P., Silver, A. J., Gibson, C. J., Bick, A. G., Shvartz, E., McConkey, M., Gupta, N., Gabriel, S., Ardissino, D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1701719 · Cited by 2,683 · cited 4× · see citing works
“Clone size, which is approximated by the variant allele fraction (VAF), has previously been shown to be an important predictor of risk for blood cancer (4, 15) and cardiovascular outcomes (6, 7).”
InfluentialSelf-citationSequencing of 53,831 diverse genomes from the NHLBI TOPMed Program
Taliun, D., Harris, D. N., Kessler, M. D., Carlson, J., Szpiech, Z. A., Torres, R., Taliun, S. A. G., Corvelo, A., Gogarten, S. M., Kang, H. M., et al. (2021) · Nature · doi:10.1038/s41586-021-03205-y · Cited by 2,213 · see citing works
Self-citationAge-related mutations associated with clonal hematopoietic expansion and malignancies
Xie, M., Lu, C., Wang, J., McLellan, M. D., Johnson, K. J., Wendl, M. C., McMichael, J. F., Schmidt, H. K., Yellapantula, V., Miller, C. A., et al. (2014) · Nature Medicine · doi:10.1038/nm.3733 · Cited by 1,874 · see citing works
Monocytes and macrophages: developmental pathways and tissue homeostasis
Ginhoux, F., & Jung, S. (2014) · Nature Reviews Immunology · doi:10.1038/nri3671 · Cited by 1,840 · see citing works
Epidemiology of Alzheimer disease
Reitz, C., Brayne, C., & Mayeux, R. (2011) · Nature Reviews Neurology · doi:10.1038/nrneurol.2011.2 · Cited by 1,675 · see citing works
Clonal hematopoiesis associated with TET2 deficiency accelerates atherosclerosis development in mice
Fuster, J. J., MacLauchlan, S., Zuriaga, M. A., Polackal, M. N., Ostriker, A. C., Chakraborty, R., Wu, C.-L., Sano, S., Muralidharan, S., Rius, C., et al. (2017) · Science · doi:10.1126/science.aag1381 · Cited by 1,536 · see citing works
Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies
Yamazaki, Y., Zhao, N., Caulfield, T. R., Liu, C.-C., & Bu, G. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0228-7 · Cited by 1,425 · see citing works
ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis
Granja, J. M., Corces, M. R., Pierce, S. E., Bagdatli, S. T., Choudhry, H., Chang, H. Y., & Greenleaf, W. J. (2021) · Nature Genetics · doi:10.1038/s41588-021-00790-6 · Cited by 1,392 · see citing works
Program, T. M. V., Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0205-x · Cited by 1,381 · see citing works
Self-citationSimard, A. R., Soulet, D., Gowing, G., Julien, J.-P., & Rivest, S. (2006) · Neuron · doi:10.1016/j.neuron.2006.01.022 · Cited by 1,265 · see citing works
Clonal hematopoiesis in human aging and disease
Jaiswal, S., & Ebert, B. L. (2019) · Science · doi:10.1126/science.aan4673 · Cited by 1,156 · cited 1× · see citing works
“as DNMT3A, TET2, and ASXL1, and can be detected by sequencing of DNA from peripheral blood or bone marrow cells (2).”
Self-citationAPOE and Alzheimer’s disease: Advances in genetics, pathophysiology, and therapeutic approaches
Serrano-Pozo, A., Das, S., & Hyman, B. T. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30412-9 · Cited by 1,037 · see citing works
Satpathy, A. T., Granja, J. M., Yost, K. E., Qi, Y., Meschi, F., McDermott, G. P., Olsen, B. N., Mumbach, M. R., Pierce, S. E., Corces, M. R., et al. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0206-z · Cited by 980 · see citing works
Self-citationThe framingham offspring study. Design and preliminary data
Feinleib, M., Kannel, W. B., Garrison, R. J., McNamara, P. M., & Castelli, W. P. (1975) · Preventive Medicine · doi:10.1016/0091-7435(75)90037-7 · Cited by 931 · see citing works
El Khoury, J., Toft, M., Hickman, S. E., Means, T. K., Terada, K., Geula, C., & Luster, A. D. (2007) · Nature Medicine · doi:10.1038/nm1555 · Cited by 915 · see citing works
Origin and differentiation of microglia
Ginhoux, F., Lim, S., Hoeffel, G., Low, D., & Huber, T. (2013) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2013.00045 · Cited by 905 · cited 1× · see citing works
“contribution from HSC-derived cells in adulthood (22).”
Splansky, G. L., Corey, D., Yang, Q., Atwood, L. D., Cupples, L. A., Benjamin, E. J., D'Agostino, R. B., Fox, C. S., Larson, M. G., Murabito, J. M., et al. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm021 · Cited by 860 · see citing works
Prediction of acute myeloid leukaemia risk in healthy individuals
Abelson, S., Collord, G., Ng, S. W. K., Weissbrod, O., Mendelson Cohen, N., Niemeyer, E., Barda, N., Zuzarte, P. C., Heisler, L., Sundaravadanam, Y., et al. (2018) · Nature · doi:10.1038/s41586-018-0317-6 · Cited by 850 · see citing works
Brain cell type–specific enhancer–promoter interactome maps and disease <b>-</b> risk association
Nott, A., Holtman, I. R., Coufal, N. G., Schlachetzki, J. C. M., Yu, M., Hu, R., Han, C. Z., Pena, M., Xiao, J., Wu, Y., et al. (2019) · Science · doi:10.1126/science.aay0793 · Cited by 823 · see citing works
Tet2 is required to resolve inflammation by recruiting Hdac2 to specifically repress IL-6
Zhang, Q., Zhao, K., Shen, Q., Han, Y., Gu, Y., Li, X., Zhao, D., Liu, Y., Wang, C., Zhang, X., et al. (2015) · Nature · doi:10.1038/nature15252 · Cited by 807 · cited 1× · see citing works
“3 Given that the common CHIP-associated mutations are known to alter the development and function of myeloid cells (6, 9, 11), we hypothesized that CHIP may also be associated with risk of AD.”
Dementia and Alzheimer Disease Incidence: A Prospective Cohort Study
Kukull, W. A., Higdon, R., Bowen, J. D., McCormick, W. C., Teri, L., Schellenberg, G. D., van Belle, G., Jolley, L., & Larson, E. B. (2002) · Archives of Neurology · doi:10.1001/archneur.59.11.1737 · Cited by 806 · see citing works
Self-citationInherited causes of clonal haematopoiesis in 97,691 whole genomes
Bick, A. G., Weinstock, J. S., Nandakumar, S. K., Fulco, C. P., Bao, E. L., Zekavat, S. M., Szeto, M. D., Liao, X., Leventhal, M. J., Nasser, J., et al. (2020) · Nature · doi:10.1038/s41586-020-2819-2 · Cited by 733 · see citing works
Self-citationSkull and vertebral bone marrow are myeloid cell reservoirs for the meninges and CNS parenchyma
Cugurra, A., Mamuladze, T., Rustenhoven, J., Dykstra, T., Beroshvili, G., Greenberg, Z. J., Baker, W., Papadopoulos, Z., Drieu, A., Blackburn, S., et al. (2021) · Science · doi:10.1126/science.abf7844 · Cited by 681 · see citing works
Somatic mutations precede acute myeloid leukemia years before diagnosis
Desai, P., Mencia-Trinchant, N., Savenkov, O., Simon, M. S., Cheang, G., Lee, S., Samuel, M., Ritchie, E. K., Guzman, M. L., Ballman, K. V., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0081-z · Cited by 619 · see citing works
Herisson, F., Frodermann, V., Courties, G., Rohde, D., Sun, Y., Vandoorne, K., Wojtkiewicz, G. R., Masson, G. S., Vinegoni, C., Kim, J., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0213-2 · Cited by 610 · see citing works
Population dynamics of normal human blood inferred from somatic mutations
Lee-Six, H., Øbro, N. F., Shepherd, M. S., Grossmann, S., Dawson, K., Belmonte, M., Osborne, R. J., Huntly, B. J. P., Martincorena, I., Anderson, E., et al. (2018) · Nature · doi:10.1038/s41586-018-0497-0 · Cited by 604 · cited 1× · see citing works
“Hematopoietic stem cells (HSCs) randomly accumulate somatic mutations during aging (1).”
Late onset Alzheimer’s disease genetics implicates microglial pathways in disease risk
Efthymiou, A. G., & Goate, A. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0184-x · Cited by 562 · see citing works
Leukemia-associated somatic mutations drive distinct patterns of age-related clonal hemopoiesis
McKerrell, T., Park, N., Moreno, T., Grove, C. S., Ponstingl, H., Stephens, J., Crawley, C., Craig, J., Scott, M. A., Hodkinson, C., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.02.005 · Cited by 534 · see citing works
Schwartzentruber, J., Cooper, S., Liu, J. Z., Barrio-Hernandez, I., Bello, E., Kumasaka, N., Young, A. M. H., Franklin, R. J. M., Johnson, T., Estrada, K., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00776-w · Cited by 532 · cited 1× · see citing works
“Summary statistics from a large AD genome-wide association study (GWAS) and GWAS-by-proxy metaanalysis(16) were then used to perform Mendelian randomization using the inverse-variance weighted”
Sano, S., Oshima, K., Wang, Y., Katanasaka, Y., Sano, M., & Walsh, K. (2018) · Circulation Research · doi:10.1161/circresaha.118.313225 · Cited by 417 · see citing works
Kar, S. P., Quiros, P. M., Gu, M., Jiang, T., Mitchell, J., Langdon, R., Iyer, V., Barcena, C., Vijayabaskar, M. S., Fabre, M. A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01121-z · Cited by 377 · see citing works
Corces, M. R., Shcherbina, A., Kundu, S., Gloudemans, M. J., Frésard, L., Granja, J. M., Louie, B. H., Eulalio, T., Shams, S., Bagdatli, S. T., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00721-x · Cited by 358 · see citing works
Self-citationSomatic mutations and cell identity linked by Genotyping of Transcriptomes
Nam, A. S., Kim, K.-T., Chaligne, R., Izzo, F., Ang, C., Taylor, J., Myers, R. M., Abu-Zeinah, G., Brand, R., Omans, N. D., et al. (2019) · Nature · doi:10.1038/s41586-019-1367-0 · Cited by 333 · see citing works
Common and rare variant associations with clonal haematopoiesis phenotypes
Kessler, M. D., Damask, A., O’Keeffe, S., Banerjee, N., Li, D., Watanabe, K., Marketta, A., Van Meter, M., Semrau, S., Horowitz, J., et al. (2022) · Nature · doi:10.1038/s41586-022-05448-9 · Cited by 313 · see citing works
Lund, H., Pieber, M., Parsa, R., Han, J., Grommisch, D., Ewing, E., Kular, L., Needhamsen, M., Espinosa, A., Nilsson, E., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07295-7 · Cited by 249 · see citing works
Evaluation of Dementia in the Cardiovascular Health Cognition Study
López, O. L., Kuller, L. H., Fitzpatrick, A. L., Ives, D. G., Becker, J. T., & Beauchamp, N. (2003) · Neuroepidemiology · doi:10.1159/000067110 · Cited by 237 · see citing works
Skrivankova, V. W., Richmond, R. C., Woolf, B. A. R., Yarmolinsky, J., Davies, N. M., Swanson, S. A., VanderWeele, T. J., Higgins, J. P., Timpson, N. J., Dimou, N., et al. (2021) · Apollo (University of Cambridge) · doi:10.17863/cam.77918 · Cited by 209 · see citing works
The Alzheimer's Disease Sequencing Project: Study design and sample selection
Beecham, G. W., Bis, J. C., Martin, E. R., Choi, S.-H., DeStefano, A. L., van Duijn, C. M., Fornage, M., Gabriel, S. B., Koboldt, D. C., Larson, D. E., et al. (2017) · Neurology Genetics · doi:10.1212/nxg.0000000000000194 · Cited by 195 · see citing works
Self-citationThe Framingham Study An Epidemiological Approach to Coronary Heart Disease
Dawber, T. R., & Kannel, W. B. (1966) · Circulation · doi:10.1161/01.cir.34.4.553 · Cited by 177 · see citing works
Moreno–Grau, S., de Rojas, I., Hernández, I., Quintela, I., Montrreal, L., Alegret, M., Hernández‐Olasagarre, B., Madrid, L., González‐Pérez, A., Maroñas, O., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.06.4950 · Cited by 156 · see citing works
Miller, T. E., Lareau, C. A., Verga, J. A., DePasquale, E. A. K., Liu, V., Ssozi, D., Sándor, K., Yin, Y., Ludwig, L. S., Farran, C. A. E., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01210-8 · Cited by 150 · see citing works
Self-citationNam, A. S., Dusaj, N., Izzo, F., Murali, R., Myers, R. M., Mouhieddine, T. H., Sotelo, J., Benbarche, S., Waarts, M., Gaiti, F., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01179-9 · Cited by 140 · see citing works
Clonal hematopoiesis associated with epigenetic aging and clinical outcomes
Nachun, D. C., Lu, A. T.-H., Bick, A. G., Natarajan, P., Weinstock, J. S., Szeto, M. D., Kathiresan, S., Abecasis, G. R., Taylor, K. D., Guo, X., et al. (2021) · Aging Cell · doi:10.1111/acel.13366 · Cited by 132 · see citing works
Self-citationNeuronal Nuclei Isolation from Human Postmortem Brain Tissue
Matevossian, A., & Akbarian, S. (2008) · Journal of Visualized Experiments · doi:10.3791/914 · Cited by 126 · see citing works
Ospina-Romero, M., Glymour, M. M., Hayes-Larson, E., Mayeda, E. R., Graff, R. E., Brenowitz, W. D., Ackley, S. F., Witte, J. S., & Kobayashi, L. C. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.25515 · Cited by 124 · see citing works
Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis
Weinstock, J. S., Gopakumar, J., Burugula, B. B., Uddin, M. M., Jahn, N., Belk, J. A., Bouzid, H., Dániel, B., Miao, Z., Ly, N., et al. (2023) · Nature · doi:10.1038/s41586-023-05806-1 · Cited by 107 · see citing works
Self-citationHigh prevalence of focal and multi-focal somatic genetic variants in the human brain
Keogh, M. J., Wei, W., Aryaman, J., Walker, L., van den Ameele, J., Coxhead, J., Wilson, I., Bashton, M., Beck, J., West, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06331-w · Cited by 74 · see citing works
Biological and induction effects of phenobarbital and 3-methylcholanthrene in mink (Mustela vison).
Shull, L. R., Rush, G. F., Olson, B. A., et al. (1983) · Drug Metabolism and Disposition · doi:10.1016/s0090-9556(25)08047-x · Cited by 11 · see citing works
Flagged first, then by citations
1 of the 60 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup
Jack, C. R., Andrews, J. S., Beach, T. G., Buracchio, T., Dunn, B., Graf, A., Hansson, O., Ho, C., Jagust, W., McDade, E., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13859 · Cited by 2,803 · see citing works
Causes and consequences of clonal hematopoiesis
Weeks, L. D., & Ebert, B. L. (2023) · Blood · doi:10.1182/blood.2023022222 · Cited by 169 · see citing works
Clonal haematopoiesis and dysregulation of the immune system
Belizaire, R., Wong, W. J., Robinette, M. L., & Ebert, B. L. (2023) · Nature Reviews Immunology · doi:10.1038/s41577-023-00843-3 · Cited by 161 · see citing works
Clonal hematopoiesis, somatic mosaicism, and age-associated disease
Evans, M. A., & Walsh, K. (2022) · Physiological Reviews · doi:10.1152/physrev.00004.2022 · Cited by 105 · see citing works
Cellular senescence, DNA damage, and neuroinflammation in the aging brain
Zhang, W., Sun, H., Wang, X., Dumont, A. S., & Liu, Q. (2024) · Trends in Neurosciences · doi:10.1016/j.tins.2024.04.003 · Cited by 113 · see citing works
Rando, T. A., Brunet, A., & Goodell, M. A. (2025) · Cell stem cell · doi:10.1016/j.stem.2025.06.004 · Cited by 66 · see citing works
“116 Age-associated clonal evolution that leads to loss of heterogeneity is evident in many tissues, for example, in human sun-exposed skin.”
Singh, J., Li, N., Ashrafi, E., Thảo, L. T. P., Curtis, D. J., Wood, E. M., & McQuilten, Z. (2024) · Blood Advances · doi:10.1182/bloodadvances.2024013228 · Cited by 57 · see citing works
Colella, P., Sayana, R., Suárez-Nieto, M. V., Sarno, J., Nyame, K., Xiong, J., Vera, L. N. P., Basurto, J. A., Corbo, M., Limaye, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49908-4 · Cited by 48 · see citing works
Systemic determinants of brain health in ageing
Smith, E. E., Biessels, G. J., Gao, V., Gottesman, R. F., Liesz, A., Parikh, N. S., & Iadecola, C. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-01016-z · Cited by 54 · see citing works
Genetic variation across and within individuals
Yu, Z., Coorens, T. H. H., Uddin, M. M., Ardlie, K., Lennon, N. J., & Natarajan, P. (2024) · Nature Reviews Genetics · doi:10.1038/s41576-024-00709-x · Cited by 50 · see citing works
Self-citationClonal haematopoiesis in cardiovascular disease: prognostic role and novel therapeutic target
Schuermans, A., & Honigberg, M. C. (2025) · Nature Reviews Cardiology · doi:10.1038/s41569-025-01148-9 · Cited by 49 · see citing works
Clonal haematopoiesis, ageing and kidney disease
Vlasschaert, C., Lanktree, M. B., Rauh, M. J., Kelly, T. N., & Natarajan, P. (2023) · Nature Reviews Nephrology · doi:10.1038/s41581-023-00778-x · Cited by 41 · see citing works
Self-citationClonal hematopoiesis and its impact on the aging osteo-hematopoietic niche
Winter, S., Götze, K. S. S., Hecker, J. S., Metzeler, K. H., Guezguez, B., Woods, K., Medyouf, H., Schäffer, A., Schmitz, M., Wehner, R., et al. (2024) · Leukemia · doi:10.1038/s41375-024-02226-6 · Cited by 39 · see citing works
Monocyte-derived macrophages act as reinforcements when microglia fall short in Alzheimer’s disease
Abellanas, M. A., Purnapatre, M., Burgaletto, C., & Schwartz, M. (2025) · Nature Neuroscience · doi:10.1038/s41593-024-01847-5 · Cited by 39 · see citing works
Forged in the fire: Lasting impacts of inflammation on hematopoietic progenitors
Cao, R., Thatavarty, A., & King, K. Y. (2024) · Experimental Hematology · doi:10.1016/j.exphem.2024.104215 · Cited by 34 · see citing works
Kim, J.-S., Trzebanski, S., Shin, S.-H., Schori, L., Frumer Friedman, G. R., Ilani, N. C., Kadam, A., Vicario, R., Aust, O., Bugaeva, P., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115609 · Cited by 33 · see citing works
Immunophenotypes in psychosis: is it a premature inflamm-aging disorder?
Chen, S., Tan, Y., & Tian, L. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02539-z · Cited by 33 · see citing works
Clonal Hematopoiesis: Updates and Implications at the Solid Tumor-Immune Interface
Buttigieg, M. M., & Rauh, M. J. (2023) · JCO Precision Oncology · doi:10.1200/po.23.00132 · Cited by 29 · see citing works
Clonal hematopoiesis of indeterminate potential and risk of neurodegenerative diseases
Liu, X., Xue, H., Wirdefeldt, K., Song, H., Smedby, K., Fang, F., & Liu, Q. (2024) · Journal of Internal Medicine · doi:10.1111/joim.20001 · Cited by 29 · see citing works
Du, S., Ou, F., Drieu, A., Xu, E. Z., Cheng, Y., Storck, S. E., Mamuladze, T., Cao, J., Abduljawad, N., Bhattarai, B., et al. (2026) · Neuron · doi:10.1016/j.neuron.2026.01.032 · Cited by 30 · see citing works
Hohsfield, L. A., Tsourmas, K. I., Ghorbanian, Y., Syage, A. R., Kim, S. J., Cheng, Y., Furman, S., Inlay, M. A., Lane, T. E., & Green, K. N. (2022) · Glia · doi:10.1002/glia.24144 · Cited by 24 · see citing works
Inflammageing and clonal haematopoiesis interplay and their impact on human disease
Hajishengallis, G., & Chavakis, T. (2026) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-025-00936-y · Cited by 36 · see citing works
Somatic mutations in aging and disease
Ren, P., Zhang, J., & Vijg, J. (2024) · GeroScience · doi:10.1007/s11357-024-01113-3 · Cited by 29 · see citing works
Distinct landscape and clinical implications of therapy-related clonal hematopoiesis
Takahashi, K., Nakada, D., & Goodell, M. A. (2024) · Journal of Clinical Investigation · doi:10.1172/jci180069 · Cited by 28 · see citing works
Clonal Hematopoiesis and Acute Ischemic Stroke Outcomes
Lee, E., An, H. Y., Lim, J., Park, K., Choi, S., Jeong, H., Kang, D., Yang, W., Kim, J., Ko, S., et al. (2023) · Annals of Neurology · doi:10.1002/ana.26754 · Cited by 25 · see citing works
Hudson, H. R., Sun, X., & Orr, M. E. (2025) · Neurotherapeutics · doi:10.1016/j.neurot.2024.e00519 · Cited by 26 · see citing works
Genomic and phenotypic correlates of mosaic loss of chromosome Y in blood
Jakubek, Y. A., Ma, X., Stilp, A. M., Yu, F., Bacon, J., Wong, J., Aguet, F., Ardlie, K., Arnett, D. K., Barnes, K., et al. (2025) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.12.014 · Cited by 24 · see citing works
Self-citationThe ageing immune system as a driver of systemic ageing
Jang, I. H., Niedernhofer, L. J., Robbins, P. D., & Camell, C. D. (2026) · Nature reviews. Immunology · doi:10.1038/s41577-026-01269-3 · Cited by 33 · see citing works
“By contrast, a recent study reported a beneficial role of CHIP in Alzheimer disease, primarily through its effects on brain myeloid population via increased infiltration and enhanced phagocytosis 30,31 .”
Matatall, K. A., Wathan, T. K., Nguyen, M., Chen, H., McDonald, A., Qi, G., Belk, J. A., Florez, M. A., Le, D. T., Olarinde, T., et al. (2025) · Cell Stem Cell · doi:10.1016/j.stem.2025.06.006 · Cited by 23 · see citing works
Self-citationAging and comprehensive molecular profiling in acute myeloid leukemia
Li, J., Cheng, W., Lin, X., Wen, L., Wang, K., Zhu, Y., Zhu, H., Chen, X., Zhang, Y., Yin, W., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319366121 · Cited by 26 · see citing works
Goldman, E. A., Spellman, P. T., & Agarwal, A. (2023) · Molecular Case Studies · doi:10.1101/mcs.a006251 · Cited by 23 · see citing works
CHIPing away the progression potential of CHIP: A new reality in the making
Xie, Z., & Zeidan, A. M. (2022) · Blood Reviews · doi:10.1016/j.blre.2022.101001 · Cited by 21 · see citing works
Yang, L., Ou, Y., Wu, B., Liu, W., Deng, Y., He, X., Chen, Y.-L., Kang, J., Fei, C.-J., Zhu, Y., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49782-0 · Cited by 24 · see citing works
The impact of age and number of mutations on the size of clonal hematopoiesis
Wang, K., Zhang, W., Yi, L., Zhao, M., Li, P.-Y., Fu, M.-H., Lin, R., Zhu, Y., Li, J., Yang, W., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2319364121 · Cited by 21 · see citing works
“Consistent with the finding that TET2 mutations may play a protective role, more TET2 mutations were found in CH associated with lower risk of Alzheimer’s disease (41).”
A microglia clonal inflammatory disorder in Alzheimer’s disease
Vicario, R., Fragkogianni, S., Weber, L., Lazarov, T., Hu, Y., Hayashi, S. Y., Craddock, B., Socci, N. D., Alberdi, A., Baako, A., et al. (2025) · eLife · doi:10.7554/elife.96519.3 · Cited by 21 · see citing works
Tissue mosaicism following stem cell aging: blood as an exemplar
Kapadia, C. D., & Goodell, M. A. (2024) · Nature Aging · doi:10.1038/s43587-024-00589-0 · Cited by 18 · see citing works
Role of Microglia in Central Nervous System Development and PlasticityPreprint
Schafer, D. P., Stevens, B., Bennett, M. L., & Bennett, F. C. (2024) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a041810 · Cited by 19 · see citing works
Role of clonal inflammatory microglia in histiocytosis-associated neurodegeneration
Vicario, R., Fragkogianni, S., Pokrovskii, M. V., Meyer, C., Lopez-Rodrigo, E., Hu, Y., Ogishi, M., Alberdi, A., Baako, A., Ay, O., et al. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.007 · Cited by 16 · see citing works
Relationships Between Regeneration, Wound Healing, and Cancer
Maggiore, G., & Zhu, H. (2023) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-062822-123558 · Cited by 17 · see citing works
Parkinson’s disease is associated with clonal hematopoiesis with TET2 mutation
Woo, K. A., Kim, H., Lee, C. Y., Shin, J. H., Sun, C.-H., Im, H., An, H., Lim, J., Choi, S., Koh, Y., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00784-1 · Cited by 16 · see citing works
Gaulin, C., Kelemen, K., & Yi, C. A. (2022) · Life · doi:10.3390/life12081135 · Cited by 16 · see citing works
Huang, A. Y., Zhou, Z., Talukdar, M., Enyenihi, L., Miller, M. B., Chhouk, B., Rosen, I., Zheng, M., Zhou, M., Yang, A., et al. (2026) · Cell · doi:10.1016/j.cell.2026.03.040 · Cited by 15 · see citing works
Self-citationPapetti, A. V., Jin, M., Ma, Z., Stillitano, A. C., & Jiang, P. (2025) · Neuron · doi:10.1016/j.neuron.2025.03.036 · Cited by 15 · see citing works
Clonal haematopoiesis to clonal cytopenias: unravelling disease evolution over time
Kirschner, K., Kusne, Y. N., Cargo, C. A., & Patnaik, M. M. (2025) · The Lancet Haematology · doi:10.1016/s2352-3026(25)00137-1 · Cited by 16 · see citing works
Dederichs, T.-S., Yerdenova, A., Horstmann, H., Vico, T. A., Nübling, S., Peyronnet, R., Pfeifer, D., Muehlen, C. V. Z., Heidt, T., Wolf, D., et al. (2024) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atvbaha.123.320183 · Cited by 16 · see citing works
BRAFV600E induces key features of LCH in iPSCs with cell type–specific phenotypes and drug responses
Abagnale, G., Schwentner, R., Soussia-Weiss, P. B., van Midden, W., Sturtzel, C., Pötschger, U., Radoš, M., Taschner‐Mandl, S., Simonitsch‐Klupp, I., Hafemeister, C., et al. (2024) · Blood · doi:10.1182/blood.2024026066 · Cited by 17 · see citing works
Xiao, C., Tamura, M. K., Pan, Y., Rao, V., Missikpode, C., Vlasschaert, C., Nakao, T., Sun, X., Li, C., Huang, Z., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.14182 · Cited by 14 · see citing works
Self-citationChang, Y. Z., Liu, J., Xu, X., Sun, S., Zhang, J., Zhang, X., Lu, G., Xiao, S., Cao, Y., Wu, R., et al. (2024) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-024-07016-x · Cited by 14 · see citing works
Replacing microglia to treat Alzheimer’s disease
Jiang, P., & Jin, M. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.07.005 · Cited by 13 · see citing works
Epigenetic roles in clonal hematopoiesis and aging kidney-related chronic kidney disease
Ogura, Y., & Mimura, I. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1281850 · Cited by 13 · see citing works
Kállai, A., Ungvari, A., Csabán, D., Őrfi, Z., Lehoczki, A., Harasztdombi, J., Yabluchanskiy, A., Benyó, Z., Szappanos, Á., Tarantini, S., et al. (2025) · GeroScience · doi:10.1007/s11357-025-01654-1 · Cited by 14 · see citing works
Deciphering microglia phenotypes in health and disease
Balak, C. D., Han, C. Z., & Glass, C. K. (2024) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2023.102146 · Cited by 12 · see citing works
Clinical and Therapeutic Implications of Clonal Hematopoiesis
Petrone, G. E. M., Turker, I., Natarajan, P., & Bolton, K. L. (2024) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-120722-100409 · Cited by 11 · see citing works
Self-citationMechanisms and environmental factors shaping the ecosystem of brain macrophages
Penati, S., Brioschi, S., Cai, Z., Han, C. Z., & Colonna, M. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1539988 · Cited by 11 · see citing works
Decoding microglial functions in Alzheimer’s disease: insights from human models
Rao, C., Semrau, S., & Fossati, V. (2025) · Trends in Immunology · doi:10.1016/j.it.2025.02.011 · Cited by 13 · see citing works
Aging of the Hematopoietic System: Mechanisms, Consequences, and Systemic Interactions
Miyawaki, M., Hashimoto, S., Ogawa, S., & Kase, Y. (2026) · Aging Cell · doi:10.1111/acel.70385 · Cited by 10 · see citing works
Basic Microglial Functions and How They Go Awry in Neurodegenerative Disease
McKinney, J. E., Bennett, M. L., & Bennett, F. C. (2026) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-042624-114332 · Cited by 12 · see citing works
Cacic, A. M., Schulz, F. I., Germing, U., Dietrich, S., & Gattermann, N. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1303785 · Cited by 10 · see citing works
Xie, Y., Kazakova, V., Weeks, L. D., Gerber, J. M., Tai, J. W., Zhang, T. Y., Lowsky, R., Wu, X., Yang, C., & Patel, S. A. (2024) · Bone Marrow Transplantation · doi:10.1038/s41409-024-02403-2 · Cited by 10 · see citing works
Advances in understanding the molecular basis of clonal hematopoiesis
Alagpulinsa, D. A., Toribio, M. P., Alhallak, I., & Reis, R. J. S. (2022) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2022.03.002 · Cited by 10 · see citing works
Jakubek, Y. A., Smith, A. P., Leng, X. I., Hall, M. E., Ezzat, D., Pershad, Y., Collins, J. M., Uddin, M. M., Fardo, D. W., Natarajan, P., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70737 · Cited by 9 · see citing works
Self-citationImplications of Clonal Hematopoiesis in Hematological and Non-Hematological Disorders
Zhang, Q., Yim, R., Lee, P., Chin, L., Li, V., & Gill, H. (2024) · Cancers · doi:10.3390/cancers16234118 · Cited by 9 · see citing works
Clonal hematopoiesis of indeterminate potential: contribution to disease and promising interventions
Li, C., Zhang, C., & Li, X. (2025) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-025-05261-8 · Cited by 8 · see citing works
Haque, T., Shastri, A., Desai, P. M., Xie, Z., Hammond, D. E., King, Z., Kishtagari, A., Madanat, Y. F., Abaza, Y., Silver, A. J., et al. (2024) · British Journal of Haematology · doi:10.1111/bjh.19925 · Cited by 8 · see citing works
Self-citationCHIP and aging: a key regulator of proteostasis and cellular senescence
Pandey, S. N., Agrawal, N., Moglad, E. H. O., Priya, G. P., Srivastava, M., Chennakesavulu, K., Mohanty, B., Arya, R., Kazmi, I. A., Alzarea, S. I., et al. (2025) · Biogerontology · doi:10.1007/s10522-025-10247-6 · Cited by 8 · see citing works
Clonal hematopoiesis, aging and Alzheimer’s disease
Sánchez Vela, P., Trowbridge, J. J., & Levine, R. L. (2023) · Nature Medicine · doi:10.1038/s41591-023-02406-4 · Cited by 8 · see citing works
Hajishengallis, G. (2025) · Journal of Periodontology · doi:10.1002/jper.70040 · Cited by 8 · see citing works
“78 CHIP mutations typically cause loss of function and often affect three genes that encode epigenetic modifiers, namely, the enzymes DNMT3A ( DNA methyltransferase 3A ), the most frequently mutated gene in CHIP, TET2 ( Ten-eleven translocation methylcytosine dioxygenase 2 ) and ASXL1 ( Associated…”
Lee, W. J., Jung, K., Song, H., Lee, H., Park, H. E., Koh, Y., Choi, S., & Park, K. (2023) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.14114 · Cited by 7 · see citing works
Clonal expansion in normal tissues
Maeda, H., & Kakiuchi, N. (2024) · Cancer Science · doi:10.1111/cas.16183 · Cited by 6 · see citing works
Clonal Hematopoiesis: Impact on Health and Disease
Caiado, F., & Manz, M. G. (2025) · Hematological Oncology · doi:10.1002/hon.70075 · Cited by 7 · see citing works
Inflammatory memory of stem cells: implications for hematologic diseases
Zhao, D., & Reddy, P. R. (2025) · Blood · doi:10.1182/blood.2024028197 · Cited by 6 · see citing works
Bhowmik, S., Bose, A., & Sengupta, A. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1660709 · Cited by 6 · see citing works
Yun, J., Youn, Y. C., & Kim, H. R. (2024) · Annals of Laboratory Medicine · doi:10.3343/alm.2024.0086 · Cited by 6 · see citing works
Uncovering the New Biology of Giant Cell Arteritis to Guide Therapeutic Strategies
Shiomi, M., Watanabe, R., Ishihara, R., Tanaka, S., Kageyama, G., & Hashimoto, M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14186350 · Cited by 6 · see citing works
Clonal hematopoiesis with DNMT3A mutations is associated with multiple system atrophy
Lee, S., Kim, H., Kim, S., et al. (2024) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2024.107145 · Cited by 5 · see citing works
Jin, M., Ma, Z., Dang, R., Zhang, H., Kim, R., Xue, H., Pascual, J. R., Finkbeiner, S. M., Head, E., Liu, Y. M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.12.584646 · Cited by 5 · see citing works
Mechanism of neurodegeneration mediated by clonal inflammatory microgliaPreprint
Vicario, R., Fragkogianni, S., Pokrovskii, M. V., Mayer, C., Lopez-Rodrigo, E., Hu, Y., Ogishi, M., Alberdi, A., Baako, A., Ay, O., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.30.605867 · Cited by 5 · see citing works
Clonal Hematopoiesis Mutations Increase Risk of Alzheimer’s Disease with <i>APOE</i> ε3/ε3 Genotype
Choi, J., Park, K. S., Le Guen, Y., Park, J.-H., Zhou, Z., Enyenihi, L., Rosen, I., Choi, Y.-H., Walsh, C. A., Kim, J.-W., et al. (2025) · doi:10.1101/2025.05.19.654981 · Cited by 5 · see citing works
A Pangenomic Method for Establishing a Somatic Variant Detection Resource in HapMap MixturesPreprint
Kong, N., Tang, Z., Ruttenberg, A., Macias-Velasco, J. F., Li, Z., Zhang, W., Miao, B., Xin, Z., Fu, Q., Park, H., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.29.679336 · Cited by 5 · see citing works
Brain somatic mutations in Alzheimer’s disease: linking genetic mosaicism to neurodegeneration
Li, Z., Zhang, J., Liu, Z., Yu, L., Yang, C., Zhang, L., Xiang, Z., Hu, F., Brazh, N., Shu, K., et al. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00895-0 · Cited by 4 · see citing works
Huang, A. Y., Cheng, Y., Ku, J., Zhao, B., Park, J., Kim, D., Choi, J., & Lee, E. A. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1450 · Cited by 4 · see citing works
Somatic mutations reveal the ontogeny of microglia in human ageing
Belk, J. A., Zhang, Y., Reilly, E., Shi, Q., Liu, D. D., Womack-Gambrel, N., van der Linde, M., Ma, L., Paul, D., Enciso, A. M., et al. (2026) · Nature · doi:10.1038/s41586-026-10939-0 · Cited by 12 · see citing works
Self-citationEvans, M. A., Chavkin, N. W., Sano, S., Sun, H., Sardana, T., Ravi, R., Doviak, H., Wang, Y., Yura, Y., Polizio, A. H., et al. (2024) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2024.1487867 · Cited by 4 · see citing works
Aging and neurodegeneration: when systemic dysregulations affect brain macrophage heterogeneity
Joly, P., Labsy, R., & Silvin, A. (2025) · The Journal of Immunology · doi:10.1093/jimmun/vkae034 · Cited by 5 · see citing works
German longevity study reveals novel rare pro-longevity alleles clustering in mTOR signaling pathway
Kolbe, D., Dose, J., Putter, P. C., Ziemann, M., Laudes, M., Slagboom, P. E., Franke, A., Deelen, J., & Nebel, A. (2025) · GeroScience · doi:10.1007/s11357-025-01640-7 · Cited by 4 · see citing works
Rovira, I. I., Biragyn, A., Brown, L. L., Galis, Z. S., Klauzińska, M., Kotliarova, S. E., Simmons, J. M., Wali, A., Xi, D., Yarden, R. I., et al. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1462217 · Cited by 6 · see citing works
Clonal Hematopoiesis of Indeterminate Potential Associated with Covert Cerebral Changes
Li, Y., Zhang, D.-D., Han, F., Zhou, L., Ni, J., Yao, M., Jin, Z., Zhang, S., Cui, L., Yang, X., et al. (2025) · Annals of Neurology · doi:10.1002/ana.27304 · Cited by 4 · see citing works
Zhang, J.-L., Tong, S.-L., Zhuang, Q., Jin, S., Li, J., & Sun, J. (2025) · Military Medical Research · doi:10.1186/s40779-025-00654-8 · Cited by 5 · see citing works
Post-zygotic brain mosaicism as a result of partial reversion of pre-zygotic aneuploidy
Chung, C., Yang, X., & Gleeson, J. G. (2023) · Nature Genetics · doi:10.1038/s41588-023-01552-2 · Cited by 4 · see citing works
Dynamics of clonal hematopoiesis and risk of hematologic malignancy
Arends, C. M., & Jaiswal, S. (2024) · International Journal of Hematology · doi:10.1007/s12185-024-03829-6 · Cited by 4 · see citing works
Self-citationMosaic chromosomal alterations in blood are associated with an increased risk of Alzheimer’s disease
Naito, T., Hirata, K., Jang, B., Lakhani, C. M., Buonfiglioli, A., Lee, W.-P., Valladares, O., Wang, L.-S., Okada, Y., Won, H.-H., et al. (2025) · doi:10.1101/2025.05.29.25328544 · Cited by 4 · see citing works
Koh, Y., Tengesdal, I. W., & Jaiswal, S. (2025) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-111523-023442 · Cited by 3 · see citing works
Self-citationThe transcriptional and cellular landscape of cognitive resilience to Alzheimer’s disease
Khera, N., Raju, R. M., & Lipton, S. A. (2025) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1665802 · Cited by 3 · see citing works
Loss of Y chromosome in Alzheimer’s patients co-occurs with somatic mutations beyond CHIP drivers
Rychlicka-Buniowska, E., Sarkisyan, D., Horbacz, M., Bruhn‐Olszewska, B., Drężek-Chyła, K., Koszyński, M., Davies, H., Juhas, U., Wójcik, M., Klich‐Rączka, A., et al. (2025) · Life Science Alliance · doi:10.26508/lsa.202503533 · Cited by 3 · see citing works
Obrębski, T., Maleszewska, M., Dunin-Horkawicz, S., & Malik, A. R. (2026) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2026.111267 · Cited by 5 · see citing works
Deciphering Clonal Hematopoiesis of Indeterminate Potential
Yu, Z., Vlasschaert, C., & Natarajan, P. (2025) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000739 · Cited by 4 · see citing works
Self-citationSchmid, C. N., Sponagel, K., Bacher, U., Seipel, K., Porret, N. A., Wiedemann, G., Hoffmann, M., Daskalakis, M., & Pabst, T. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26168021 · Cited by 2 · see citing works
Clonal haematopoiesis of indeterminate potential and risk of incident psychiatric disorders
Yu, Y., Wan, C., Li, J., Sun, Y., Yu, B., Tan, X., Wang, B., Lu, Y., & Wang, N. (2026) · BMC Medicine · doi:10.1186/s12916-026-04720-3 · Cited by 2 · see citing works
Lin, S., Li, Y. E., & Wang, Y. (2025) · Advanced Genetics · doi:10.1002/ggn2.202400047 · Cited by 2 · see citing works
Clonal haematopoiesis is associated with protection against angina pectoris in the UK population
Zheng, Y., Zhou, Z., Qian, X., Xu, J., Hu, S., Jiang, C., Liu, Y., Tong, F., Chen, M., Fan, P., et al. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.08.002 · Cited by 2 · see citing works
- Authors
- Bouzid, H., Belk, J. A., Jan, M., Qi, Y., Sarnowski, C., Wirth, S., Ma, L., Chrostek, M. R., Ahmad, H., Nachun, D., Yao, W., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Bis, J., Psaty, B., Beiser, A., Bick, A. G., Bis, J. C., Fornage, M., Longstreth, W. T., Lopez, O. L., Natarajan, P., Psaty, B. M., Satizabal, C. L., Weinstock, J., Larson, E. B., Crane, P. K., Keene, C. D., Seshadri, S., Satpathy, A. T., Montine, T. J., & Jaiswal, S.
- Affiliations
- Stanford Medicine (US)
- Stanford University (US)
- Massachusetts General Hospital (US)
- The University of Texas Health Science Center at Houston (US)
- Boston University (US)
- Vanderbilt University Medical Center (US)
- Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases (US)
- Broad Institute (US)
- University of Michigan (US)
- Kaiser Permanente Washington Health Research Institute (US)
- University of Washington (US)
- The University of Texas at San Antonio Health Science Center (US)
- Corresponding author
- Jaiswal, Siddhartha
- ORCID
- Belk, Julia A.
- Jan, Max
- Qi, Yanyan
- Sarnowski, Chloé
- Wirth, Sara
- Chrostek, Matthew R.
- Ahmad, Herra
- Nachun, Daniel
- Yao, Winnie
- Beiser, Alexa
- Bick, Alexander G.
- Bis, Joshua C.
- Fornage, Myriam
- Lopez, Oscar L.
- Natarajan, Pradeep
- Psaty, Bruce M.
- Weinstock, Joshua
- Larson, Eric B.
- Crane, Paul K.
- Keene, C. Dirk
- Seshadri, Sudha
- Satpathy, Ansuman T.
- Montine, Thomas J.
- Jaiswal, Siddhartha
- Venue
- Nature Medicine
- Published
- 2023-06-15
- Volume
- 29
- Issue
- 7
- Pages
- 1662-1670
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC10353941
- OpenAlex
- W4380785142
- Semantic Scholar
- 3970db4d8b0a3f1881e30cd191d2f97be962e3ea
- Cited by
- 169
- References
- 60
- Citations by year
- 2026: 42 · 2025: 58 · 2024: 44 · 2023: 19 · 2022: 6
- FWCI
- 23.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Medicine (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- Informationszentrum Lebenswissenschaften (ZB MED) (submittedVersion, cc-by)
- Funders
- U.S. Department of Health & Human Services | National Institutes of Health (DP2-HL157540, R01-HL148565, K08CA230188)
- Burroughs Wellcome Fund (DP5 OD029586)
- Fondation Leducq (TNE-18CVD04)
- Ludwig Center for Cancer Stem Cell Research at Stanford University Knight Initiative for Brain Resilience
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (R00 AG066849)
- Fireman Endowed Chair in Vascular Medicine
- Nancy and Buster Alvord Endowment
- U.S. Department of Health & Human Services | NIH | Office of Extramural Research, National Institutes of Health (AG053959)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- clonal hematopoiesis of indeterminate potential, Alzheimer's disease, dementia risk, microglia, myeloid cells, brain microglia, Mendelian randomization, causal relationship
- MeSH terms
- Clonal Hematopoiesis, Alzheimer Disease, Hematopoiesis, Hematopoietic Stem Cells, Humans, Mutation, Precancerous Conditions
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-19.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-19.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review