Mapping the microRNA landscape in the older adult brain and its genetic contribution to neuropsychiatric conditions
Open accessAbstract
MicroRNAs (miRNAs) play a crucial role in regulating gene expression and influence many biological processes. Despite their importance, understanding of how genetic variation affects miRNA expression in the brain and how this relates to brain disorders remains limited. Here we investigated these questions by identifying microRNA expression quantitative trait loci (miR-QTLs), or genetic variants associated with brain miRNA levels, using genome-wide small RNA sequencing profiles from dorsolateral prefrontal cortex samples of 604 older adult donors of European ancestry. Here we show that nearly half (224 of 470) of the analyzed miRNAs have associated miR-QTLs, many of which fall in regulatory regions such as brain promoters and enhancers. We also demonstrate that intragenic miRNAs often have genetic regulation independent from their host genes. Furthermore, by integrating our findings with 16 genome-wide association studies of psychiatric and neurodegenerative disorders, we identified miRNAs that likely contribute to bipolar disorder, depression, schizophrenia and Parkinson’s disease. These findings advance understanding of the genetic regulation of miRNAs and their role in brain health and disease.
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Written from the paper’s full text.
TL;DR
The study mapped microRNA expression quantitative trait loci (miR-QTLs) in dorsolateral prefrontal cortex from 604 older adult donors and identified miR-QTLs for 224 of 470 tested miRNAs. Integrating these miR-QTLs with 16 GWAS of psychiatric and neurodegenerative traits implicated four miRNAs consistent with causal roles in bipolar disorder, major depression, PTSD, schizophrenia, and Parkinson’s disease.
Key findings
- Using MirGeneDB annotations, miR-QTLs were identified for 224 of 470 tested miRNAs (48%) at FDR < 1%; the median expression variance explained per conditionally independent miR-QTL was 4.1% (IQR 2.7%–7.8%), and 18 eMiRs had a miR-QTL explaining >20% of expression variance.
- miR-QTLs were enriched in brain promoters and enhancers, but intragenic miRNAs often did not share QTLs with their host genes: among 106 miRNA–host pairs with both miR-QTLs and host eQTLs, 17 showed colocalization (coloc PP.H4 > 0.5) and 89 did not.
- Integration with 16 GWAS identified 49 unique miRNAs associated with one or more brain traits in miRWAS; four miRNAs met all four criteria for a causal role: miR-92b-3p in Parkinson’s disease, miR-1908-5p in bipolar disorder and major depressive disorder, miR-499a-5p in bipolar disorder and schizophrenia, and miR-190b-5p in PTSD.
- Of ~59,000 miRNA–predicted target pairs, 11 shared miR-QTLs and pQTLs; five had significant SMR results after Bonferroni correction, four had HEIDI P-values suggesting causality or pleiotropy rather than linkage, and luciferase assays supported interaction for all four tested pairs.
Methods
- Genome-wide small RNA sequencing and genotyping were performed on post-mortem dlPFC samples from 604 older adult ROS/MAP donors of European ancestry; all were over 70 years old at death, with median age of death 90 years. miR-QTL mapping used PLINK2 linear regression with covariates including miRNA batch, PMI, RIN, age at death, cognitive diagnosis, study, sex, genotype platform, 10 genetic PCs, and 15 surrogate variables; miR-QTLs were defined at q-value < 0.01, followed by LD clumping and conditional analysis.
- miRNA reads were mapped in parallel to miRBase and MirGeneDB; downstream analyses used the MirGeneDB set. Integration with GWAS used FUSION miRWAS, coloc, and SMR/HEIDI across five neurodegenerative and eleven psychiatric traits. pQTL and SMR analyses used dlPFC proteomic data from up to 716 ROS/MAP and Arizona Study of Aging participants, and luciferase assays were conducted in HEK 293T cells.
- Promoter/enhancer enrichment was tested against cell-type-specific annotations from Nott et al. and PsychEncode; cross-tissue comparisons used published blood and fetal neocortex miR-QTL results.
Limitations
- The paper states: findings would be strengthened by replication in an independent sample, but no comparable independent brain miRNA dataset was available; all participants were of European ancestry; brain miRNA genetic regulation may differ across adulthood stages; analyses were limited to dlPFC and may not generalize to other brain regions; some tested miRNAs had modest expression in bulk dlPFC and need cell-type-specific quantification; and focusing on MirGeneDB may have missed some true miRNAs.
- Evident from the text: bulk tissue limits cell-type-specific inference, and the observed depletion of miR-QTLs in microglia enhancers is likely an artifact of microglia being a minor cell type in bulk samples. Cross-tissue comparisons are also confounded by differences in sample size, miRNA quantification, number of miRNAs considered, and analytic approach.
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Claims the paper makes
2 of 50 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Findingown data
miR-QTLs were enriched in PsychEncode bulk prefrontal cortex enhancers (Mantel-Haenszel common odds ratio = 1.32, 95% CI = [1.20,1.45], p = 1.3 × 10−8).
“miR-QTLs were enriched in this set of enhancers (Mantel-Haenszel common odds ratio = 1.32, 95% CI = [1.20,1.45], p = 1.3 × 10−8)”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [32] Wang, D. et al. Comprehensive functional genomic resource and integrative model for the human brain. Science 362, eaat8464 (2018). source
The Enhancers section (page unavailable) identifies a reference set of 79,056 prefrontal cortex enhancers, supporting the identification of the enhancer set. The QTL analysis section discusses enrichment of other QTL types at genomic elements, but our copy does not report miR-QTL enrichment or the stated odds ratio, confidence interval, and p-value. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Interpretationcitation
miR-1908-5p is relevant to bipolar disorder despite its relatively low abundance.
“Notable among those, miR-1908–5p was previously observed to be differentially expressed in blood in the acute bipolar state compared to remission state62, which suggests that miR-1908–5p is relevant to bipolar disorder despite its relatively low abundance.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [62] Bennett, D. A. et al. Religious Orders Study and Rush Memory and Aging Project. J. Alzheimers Dis. 64, S161–S189 (2018). source
The Materials section discusses miRNA data from the Religious Orders Study and Rush Memory and Aging Project, but does not identify miR-1908-5p or address bipolar disorder. Searches for miR-1908-5p, acute bipolar state versus remission, and low abundance found no passage supporting the observation attributed to this source. (LLM, conf=0.77)
Experimental — accuracy not yet measured
- Findingown data
For all except 44 of ~59,000 miRNA-protein pairs, the protein is trans (>500 Kb from or on a different chromosome) to the miRNA.
“For all except 44 of ~59,000 miRNA-protein pairs, the protein is trans (> 500 Kb from or on a different chromosome) to the miRNA.”
Quote in the paperSubstantial claim - Findingown data
The tested miRNAs in the MirGeneDB set included 75% (470 out of 624) of the tested miRNAs from the miRBase set.
“Furthermore, the tested miRNAs in the MirGeneDB set included 75% (470 out of 624) of the tested miRNAs from the miRBase set.”
Quote in the paperNot a substantial claim - Findingown data
miR-QTLs were more likely to be upstream than downstream of the miRNA gene (809 versus 570, binomial P = 1.32×10−10).
“Among the remaining miRNAs, miR-QTLs were more likely to be upstream than downstream of the miRNA gene (809 versus 570, two-sided binomial test P-value = 1.32×10−10)”
Quote in the paperNot a substantial claim
- Findingown data
miR-QTLs were enriched in brain promoters combined across all four cell types (P < 0.05).
“We found that miR-QTLs were enriched (P-value < 0.05) in brain promoters combined across all four cell types (Figure 3).”
Quote in the paperSubstantial claim - Findingown data
For eight of the eleven pairs, the QTL SNPs are trans to the target gene.
“For eight of the eleven pairs, the QTL SNPs are trans to the target gene.”
Quote in the paperNot a substantial claim - Findingown data
miR-QTLs were enriched in the union set of enhancers across all four cell types.
“We found that miR-QTLs were enriched in the union set of enhancers across all four cell types (Figure 3).”
Quote in the paperSubstantial claim - Findingown data
Of ~59,000 miRNA-predicted target pairs (206 miRNAs and 7,999 proteins), sharing of miR-QTLs and pQTLs was discovered for 11 pairs.
“Of the ~59,000 miRNA-predicted target pairs (involving 206 miRNAs and 7,999 proteins), we discovered sharing of miR-QTLs and pQTLs for 11 pairs (Supplementary Table 11).”
Quote in the paperSubstantial claim - Findingown data
The other three miRNA-target pairs comprise miRNAs and target genes located on separate chromosomes.
“The other three pairs comprise miRNAs and target genes located on separate chromosomes (Table 1).”
Quote in the paperSubstantial claim - Findingown data
The number of shared eMiRs between our study and whole blood is higher than expected by chance (X2(1, N=173)=4.3, p=.038).
“A chi-squared test using the 173 miRNAs tested in both studies indicates that the number of shared eMiRs is higher than expected by chance, X2(1, N = 173) = 4.3, p = .038.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Huan, T. et al. Genome-wide identification of microRNA expression quantitative trait loci. Nat. Commun. 6, 6601 (2015). source
- Findingown data
The distance of miR-QTLs to the gene's transcription start site was significantly correlated with P-value (Spearman rho 0.23, P = 1.14×10−17).
“the distance to TSS was significantly correlated with P-value (Spearman rho 0.23, P-value = 1.14×10−17).”
Quote in the paperNot a substantial claim - Findingown data
There were 206 eMiRs for which predicted downstream target genes were profiled in the dlPFC proteomics dataset.
“There were 206 eMiRs for which predicted downstream target genes were profiled in our dlPFC proteomics dataset.”
Quote in the paperSubstantial claim - Findingown data
Using MirGeneDB to map miRNA reads, miR-QTLs were identified for 224 of 470 tested miRNAs at FDR < 1%.
“miR-QTLs were identified for 224 miRNAs (48% of 470 tested miRNAs) at false discovery rate < 1%.”
- Also stated in: § miR-QTL mapping · plain
“Using the MirGeneDB miRNA set at FDR < 1% (unadjusted P-value < 2.34 × 10−4) we observed miR-QTLs for 224 of 470 tested miRNAs (Figure 2A).”
Quote in the paperSubstantial claim - Also stated in: § miR-QTL mapping · plain
- Findingown data
67% of SNPs tested for both the −3p and −5p miRNAs from the same precursor were associated with only one of the mature miRNAs.
“For instance, 67% of SNPs tested for both the −3p and −5p miRNAs from the same precursor were associated with only one of the mature miRNAs.”
Quote in the paperNot a substantial claim - Findingown data
Two of the miRNA-host gene pairs with colocalized QTLs had significant negative correlation.
“it is notable that two of the miRNA-host gene pairs with colocalized QTLs had significant negative correlation.”
Quote in the paperSubstantial claim - Findingown data
miR-QTLs were enriched in oligodendrocyte enhancers.
“Considering enhancers for each cell type separately, miR-QTLs were enriched in enhancers in oligodendrocytes and neurons but not astrocytes; on the other hand, miR-QTLs were depleted in microglia enhancers (Figure 3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Nott, A. et al. Brain cell type–specific enhancer–promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Queued — the background check reaches it, usually within a day.
- Findingown data
Evidence of colocalization between miR-QTLs and host gene eQTLs (coloc PP.H4 > 0.5) was found for 17 of 106 miRNA-host pairs.
“Considering the 106 miRNA-host pairs (103 mature miRNAs from 77 precursors in 71 host genes) for which the miRNA had miR-QTLs and the host gene had eQTLs, we found evidence of colocalization between miR-QTLs and host gene eQTLs (coloc PP.H4 > 0.5) for 17 pairs and no evidence of colocalization for 89 pairs (Supplementary Table 9).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20] Giambartolomei, C. et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet. 10, e1004383 (2014). source
Queued — the background check reaches it, usually within a day.
- cites [21] Wingo, A. P. et al. Sex differences in brain protein expression and disease. Nat. Med. 29, 2224–2232 (2023). source
Queued — the background check reaches it, usually within a day.
- Findingown data
The median percent of miRNA expression variance explained by each conditionally independent miR-QTL was 4.1% (IQR 2.7%-7.8%).
“The median percent of miRNA expression variance explained by each conditionally independent miR-QTL was 4.1% (interquartile range 2.7%–7.8%)”
Quote in the paperNot a substantial claim - Findingown data
Luciferase assays in HEK 293T cells using gene 3' UTR reporter constructs and miRNA mimics support interaction for all four miRNA-target pairs.
“The results support interaction for all four pairs (Supplementary Figure 2), adding plausibility to the causal relationships inferred from the bioinformatic integration analyses.”
Quote in the paperSubstantial claim - Findingown data
The tested miRNAs specific to miRBase tended to have lower expression than those present in both databases (median RPM 3 versus 51, Wilcoxon P = 7.8×10−31).
“Consistent with this, the tested miRNAs specific to miRBase tended to have lower expression than those present in both databases (median RPM of 3 versus 51, two-sided Wilcoxon rank-sum test P-value = 7.8 × 10−31).”
Quote in the paperNot a substantial claim - Findingown data
The abundance of intragenic miRNAs was more likely to be positively correlated with abundance of host gene transcripts than expected by chance (Wilcoxon P = 5.6×10−13).
“we found that the abundance of intragenic miRNAs was more likely to be positively correlated with abundance of host gene transcripts than expected by chance using matched dlPFC miRNA and transcriptomic data from 297 participants (two-sided Wilcoxon rank-sum P-value = 5.6×10−13).”
Quote in the paperSubstantial claim - Findingown data
Of the eMiRs we identified, 23 of 184 (13%) were also identified as eMiRs in the fetal neocortex study.
“we found that only 13% (23 of 184) of the eMiRs we identified were also identified as eMiRs in the fetal neocortex study.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Lafferty, M. J. et al. MicroRNA-eQTLs in the developing human neocortex link miR-4707-3p expression to brain size. eLife 12, e79488 (2023). source
- Findingown data
Two additional miRNA-target pairs had SMR/HEIDI tests supporting pleiotropy or causality.
“The number of predicted interactions increased substantially, from ~59,000 to ~184,000, and we identified two additional miRNA-target pairs for which the SMR/HEIDI tests support pleiotropy or causality (Supplementary Table 12).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Miranda, K. C. et al. A pattern-based method for the identification of microRNA binding sites and their corresponding heteroduplexes. Cell 126, 1203–1217 (2006). source
- Findingown data
Five of the eleven miRNA-protein pairs had a significant SMR result after Bonferroni correction (P < 4.54×10−3).
“Five of the eleven miRNA-protein pairs had a significant SMR result after Bonferroni correction for the eleven SMR tests (P-value < 4.54×10−3)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Zhu, Z. et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat. Genet. 48, 481–487 (2016). source
- Findingown data
The median number of predicted targets per miRNA was 249 (IQR 165-364).
“The median number of predicted targets per miRNA was 249 (interquartile range 165–364).”
Quote in the paperNot a substantial claim - Findingown data
No evidence of colocalization between miR-QTLs and host gene eQTLs was found for 89 of 106 miRNA-host pairs.
“Considering the 106 miRNA-host pairs (103 mature miRNAs from 77 precursors in 71 host genes) for which the miRNA had miR-QTLs and the host gene had eQTLs, we found evidence of colocalization between miR-QTLs and host gene eQTLs (coloc PP.H4 > 0.5) for 17 pairs and no evidence of colocalization for 89 pairs (Supplementary Table 9).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [20] Giambartolomei, C. et al. Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet. 10, e1004383 (2014). source
Queued — the background check reaches it, usually within a day.
- cites [21] Wingo, A. P. et al. Sex differences in brain protein expression and disease. Nat. Med. 29, 2224–2232 (2023). source
Queued — the background check reaches it, usually within a day.
- Findingown data
Using RNA22 v2 predicted interactions, the number of predicted interactions increased from ~59,000 to ~184,000.
“The number of predicted interactions increased substantially, from ~59,000 to ~184,000, and we identified two additional miRNA-target pairs for which the SMR/HEIDI tests support pleiotropy or causality (Supplementary Table 12).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Miranda, K. C. et al. A pattern-based method for the identification of microRNA binding sites and their corresponding heteroduplexes. Cell 126, 1203–1217 (2006). source
- Findingown data
miR-QTLs were depleted in microglia enhancers.
“Considering enhancers for each cell type separately, miR-QTLs were enriched in enhancers in oligodendrocytes and neurons but not astrocytes; on the other hand, miR-QTLs were depleted in microglia enhancers (Figure 3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Nott, A. et al. Brain cell type–specific enhancer–promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Not checked in the free run.
- Findingown data
miR-QTLs were enriched in neuron enhancers.
“Considering enhancers for each cell type separately, miR-QTLs were enriched in enhancers in oligodendrocytes and neurons but not astrocytes; on the other hand, miR-QTLs were depleted in microglia enhancers (Figure 3).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Nott, A. et al. Brain cell type–specific enhancer–promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Not checked in the free run.
- Findingown data
miR-QTLs were not enriched in astrocyte enhancers.
“Considering enhancers for each cell type separately, miR-QTLs were enriched in enhancers in oligodendrocytes and neurons but not astrocytes; on the other hand, miR-QTLs were depleted in microglia enhancers (Figure 3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Nott, A. et al. Brain cell type–specific enhancer–promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Not checked in the free run.
- Findingnone given
About 60% (or 135) of the eMiRs originate from intragenic miRNA precursors.
“About 60% (or 135) of the eMiRs originate from intragenic miRNA precursors.”
Quote in the paperNot a substantial claim - Findingown data
18 eMiRs have a miR-QTL that explains more than 20% of their expression variance.
“18 eMiRs have a miR-QTL that explains more than 20% of their expression variance.”
Quote in the paperNot a substantial claim - Findingown data
Most fetal eMiRs were evident in our study (74% [23 of 31]).
“Yet, most fetal eMiRs were evident in our study (74% [23 of 31]) (Supplementary Figure 3).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [34] Lafferty, M. J. et al. MicroRNA-eQTLs in the developing human neocortex link miR-4707-3p expression to brain size. eLife 12, e79488 (2023). source
- Findingown data
MirGeneDB miRNAs captured over 99.7% of the reads that mapped to the miRBase miRNAs.
“Notably, MirGeneDB miRNAs captured over 99.7% of the reads that mapped to the miRBase miRNAs, indicating that the miRNAs unique to miRBase are sparsely observed in our sequence data.”
Quote in the paperNot a substantial claim - Findingown data
miR-QTLs were sometimes, but not always, shared by miRNAs from the same precursor or cluster.
“Predictably, miR-QTLs were sometimes, but not always, shared by miRNAs from the same precursor or cluster.”
Quote in the paperNot a substantial claim - Findingown data
miR-QTLs for intragenic miRNAs tended to be further from the miRNA precursor than miR-QTLs for intergenic miRNAs (Wilcoxon P = 6.31×10−12).
“We also observed that miR-QTLs for intragenic miRNAs tended to be further from the miRNA precursor than miR-QTLs for intergenic miRNAs (two-sided Wilcoxon rank-sum P-value = 6.31×10−12).”
Quote in the paperNot a substantial claim - Findingown data
About 9% of tested miRNAs mapped to more than one precursor.
“About 9% of tested miRNAs mapped to more than one precursor; for one such miRNA, the two index miR-QTLs were located between precursors in a cluster, so we could not assign them to a single relative position category.”
Quote in the paperNot a substantial claim - Findingcitation
The four miRNA-target pairs are not found in TarBase, a database of experimentally validated miRNA-target gene interactions.
“The four miRNA-target pairs are not found in TarBase29, a database of experimentally validated miRNA-target gene interactions.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [29] Karagkouni, D. et al. DIANA-TarBase v8: a decade-long collection of experimentally supported miRNA–gene interactions. Nucleic Acids Res. 46, D239–D245 (2018). source
- Findingown data
Four of these five pairs had HEIDI P-values suggesting the SMR signal is due to causality or pleiotropy rather than linkage.
“and four of these had HEIDI P-values that suggest the SMR signal is due to causality or pleiotropy rather than linkage (Table 1, Supplementary Table 12).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Zhu, Z. et al. Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets. Nat. Genet. 48, 481–487 (2016). source
- Findingown data
We observed 18 miRNA-target gene pairs (involving 16 unique miRNAs) for which the miR-QTLs were also pQTLs for the predicted target in the same tissue.
“Considering pairs of miRNAs and predicted target genes, we observed 18 miRNA-target gene pairs (involving 16 unique miRNAs) for which the miR-QTLs were also pQTLs for the predicted target in the same tissue.”
Quote in the paperSubstantial claim - Findingown data
Among the 4 identified causal miRNAs in brain illnesses, one was regulated by miR-QTLs in proximity with pQTLs for a causal protein for the same brain trait.
“Among the 4 identified causal miRNAs in brain illnesses, two were regulated by miR-QTLs in proximity (±500Kb window) with eQTLs of causal mRNAs for the same brain illness, and one was regulated by miR-QTLs in proximity with pQTLs for a causal protein for the same brain trait (Supplementary Table 17).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Supplementary Table 17
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [26] Wingo, T. S. et al. Shared mechanisms across the major psychiatric and neurodegenerative diseases. Nat. Commun. 13, 4314 (2022). source
- Findingown data
Among the 470 available miRNAs, 140 had significant heritability (defined as heritability p < 0.01) and were included in the miRWAS.
“Among the 470 available miRNAs, 140 had significant heritability (defined as heritability p < 0.01) and were included in the miRWAS (Supplementary Table 14).”
Quote in the paperSubstantial claim - Findingown data
We identified 49 unique miRNAs associated with one or more brain traits in the miRWAS.
“We identified 49 unique miRNAs associated with one or more brain traits in the miRWAS (Figure 4; Supplementary Tables 15–16).”
Quote in the paperSubstantial claim - Findingown data
eMiR sharing between our miR-QTLs and those detected in fetal neocortex and adult whole blood is higher than expected by chance.
“Comparing our miR-QTLs with miR-QTLs detected in fetal (midgestation) neocortex and adult whole blood showed higher eMiR sharing than expected by chance.”
Quote in the paperNot a substantial claim - Findingown data
Validation experiments confirmed potential interaction for all four pairs that were tested.
“Our subsequent validation experiments confirmed potential interaction for all four pairs that were tested.”
Quote in the paperSubstantial claim - Findingown data
We identified cis-miR-QTLs for almost half of the miRNAs that were tested.
“We identified cis-miR-QTLs for almost half of the miRNAs that were tested, which is comparable to 53% of the proteins having pQTLs at FDR < 1% in a recent published study in 716 individuals26.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Wingo, T. S. et al. Shared mechanisms across the major psychiatric and neurodegenerative diseases. Nat. Commun. 13, 4314 (2022). source
- Findingown data
The majority of intragenic miRNAs were not genetically co-regulated with their host genes.
“Notably, we found that the majority of intragenic miRNAs were not genetically co-regulated with their host genes, which may indicate that miRNAs have biological roles distinct from the functions of their host genes.”
Quote in the paperSubstantial claim - Findingown data
Annotations specific to miRBase tended to be lowly expressed in our brain samples.
“However, since we filtered both annotation sets using a minimum abundance threshold and since annotations specific to miRBase tended to be lowly expressed in our brain samples, there was a much larger overlap in the tested miRNAs, with 75% of miRNAs tested in both runs.”
Quote in the paperSubstantial claim - Findingreasoning
75% of miRNAs were tested in both runs.
“However, since we filtered both annotation sets using a minimum abundance threshold and since annotations specific to miRBase tended to be lowly expressed in our brain samples, there was a much larger overlap in the tested miRNAs, with 75% of miRNAs tested in both runs.”
Quote in the paperNot a substantial claim - Findingown data
Among the 4 identified causal miRNAs in brain illnesses, two were regulated by miR-QTLs in proximity (±500Kb window) with eQTLs of causal mRNAs for the same brain illness.
“Among the 4 identified causal miRNAs in brain illnesses, two were regulated by miR-QTLs in proximity (±500Kb window) with eQTLs of causal mRNAs for the same brain illness, and one was regulated by miR-QTLs in proximity with pQTLs for a causal protein for the same brain trait (Supplementary Table 17).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Supplementary Table 17
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites [26] Wingo, T. S. et al. Shared mechanisms across the major psychiatric and neurodegenerative diseases. Nat. Commun. 13, 4314 (2022). source
- Findingown data
Six miRNA-target pairs were consistent with pleiotropy or causality using SMR and HEIDI tests.
“Using the SMR and HEIDI tests, we found that six miRNA-target pairs were consistent with pleiotropy or causality.”
Quote in the paperSubstantial claim - Findingown data
Three of the four causal miRNAs we identified are located in proximity (< 500Kb) to one or more of the causal transcripts or proteins identified in the prior work.
“Inspecting the four causal miRNAs we identified here, we found that three causal miRNAs are located in proximity (< 500Kb) to one or more of the causal transcripts or proteins identified in the prior work.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [26] Wingo, T. S. et al. Shared mechanisms across the major psychiatric and neurodegenerative diseases. Nat. Commun. 13, 4314 (2022). source
- Findingcitation
miR-QTLs are significantly enriched in promoters active in human brain.
“We observed significant enrichment of miR-QTLs in promoters active in human brain31.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Nott, A. et al. Brain cell type–specific enhancer–promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Not checked in the free run.
- Findingown data
We identified miR-QTLs for 224 miRNAs.
“Using more than 600 small RNA-sequencing profiles from dlPFC of older adults, we identified miR-QTLs for 224 miRNAs and integrated those results with human brain proteomes and GWAS summary statistics to investigate how genetically regulated brain miRNAs impact protein expression and neurodegenerative and psychiatric traits.”
Quote in the paperSubstantial claim - Interpretationown data
For nearly all tests, the analysis is effectively conducting trans-pQTL analysis.
“Therefore, for nearly all tests, we are effectively conducting trans-pQTL analysis.”
Quote in the paperSubstantial claim - Interpretationreasoning
The three trans miRNA-target pairs noted in Table 1 remain the strongest candidates for miRNAs that mediate the trans-pQTL effect on their predicted target gene.
“In sum, the three trans miRNA-target pairs noted in Table 1 remain the strongest candidates for miRNAs that mediate the trans-pQTL effect on their predicted target gene.”
Quote in the paperSubstantial claim - Interpretationcitation
The GPC1 eQTL signal may be driven by the miR-QTL effect on miR-149-5p.
“Our results together with the published findings suggest that the GPC1 eQTL signal may be driven by the miR-QTL effect on miR-149–5p and demonstrates that considering miR-QTLs can reveal the mechanism of action of host gene eQTLs.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Chamorro-Jorganes, A., Araldi, E., Rotllan, N., Cirera-Salinas, D. & Suárez, Y. Autoregulation of glypican-1 by intronic microRNA-149 fine tunes the angiogenic response to FGF2 in human endothelial cells. J. Cell Sci. 127, 1169–1178 (2014). source
- Interpretationown data
The Mendelian randomization analysis described in section 2.3 supports the interaction between miR-1908-5p and host gene FADS1.
“However, the Mendelian randomization analysis we describe in section 2.3 support this interaction.”
Quote in the paperSubstantial claim - Interpretationown data
The simplest explanation is that miRBase-specific miRNAs are rarely detected in our data at or above our minimum required abundance threshold.
“The simplest explanation is that miRBase-specific miRNAs are rarely detected in our data at or above our minimum required abundance threshold.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Given the low frequency of trans-acting regulatory regions, causality seems more likely than pleiotropy for the three trans miRNA-target pairs.
“Given the low frequency of trans-acting regulatory regions, causality seems more likely than pleiotropy for these pairs.”
Quote in the paperSubstantial claim - Interpretationown data
Four miRNAs contribute to the pathogenesis of bipolar disorder, major depression, post-traumatic stress disorder, schizophrenia, and Parkinson's disease.
“we integrated the brain miR-QTLs with results from 16 GWAS of psychiatric and neurodegenerative diseases using multiple independent integration approaches and identified four miRNAs that contribute to the pathogenesis of bipolar disorder, major depression, post-traumatic stress disorder, schizophrenia, and Parkinson’s disease.”
Quote in the paperSubstantial claim - Interpretationown data
The results reported here are the first set of miR-QTLs available for adult human brain.
“While genome-wide miR-QTL mapping efforts have been conducted in various human tissues (blood52,53, fetal brain34, adipose54, liver55), to our knowledge the results we report here are the first set of miR-QTLs available for adult human brain.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [52] Nikpay, M. et al. Genome-wide identification of circulating-miRNA expression quantitative trait loci reveals the role of several miRNAs in the regulation of cardiometabolic phenotypes. Cardiovasc. Res. 115, 1629–1645 (2019). source
- cites [53] Civelek, M. et al. Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits. Hum. Mol. Genet. 22, 3023–3037 (2013). source
- cites [34] Lafferty, M. J. et al. MicroRNA-eQTLs in the developing human neocortex link miR-4707-3p expression to brain size. eLife 12, e79488 (2023). source
- Study design and conductown data
miRNA and genotype data from 604 individuals were available for analysis after quality control filtering.
“miRNA and genotype data from 604 individuals were available for analysis after quality control filtering.”
Quote in the paperSubstantial claim - Study design and conductcitation
The promoter and enhancer detection was done using pooled sorted single nuclei, so the relative proportions of the cell type in bulk tissue does not create a bias in the promoter and enhancer distributions across cell types.
“The promoter and enhancer detection was done using pooled sorted single nuclei31, so the relative proportions of the cell type in bulk tissue does not create a bias in the promoter and enhancer distributions across cell types.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] Nott, A. et al. Brain cell type–specific enhancer–promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Not checked in the free run.
- Interpretationown data
miR-499a-5p is an independent causal mediator from GGT7 and EDEM2 in bipolar disorder.
“Analogously, we found that miR-499a-5p is an independent causal mediator from GGT7 and EDEM2 in bipolar disorder (Supplementary Figures 4–5; Supplementary Table 17).”
Quote in the paperSubstantial claim - Interpretationcitation
Our findings that miR-1908-5p and miR-499a-5p are causal in bipolar disorder are consistent with those from a prior study that used a candidate gene-based association study approach.
“Our findings that miR-1908–5p and miR-499a-5p are causal in bipolar disorder are consistent with those from a prior study that used a candidate gene-based association study approach57.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [57] Chen, Z., Li, Z., Jiang, C., Jiang, X. & Zhang, J. MiR‐92b‐3p promotes neurite growth and functional recovery via the PTEN/AKT pathway in acute spinal cord injury. J. Cell. Physiol. 234, 23043–23052 (2019). source
- Premisecitation
A recently published work identified a set of causal transcripts and proteins for a range of psychiatric and neurodegenerative diseases.
“We identified a set of causal transcripts and proteins for a range of psychiatric and neurodegenerative diseases in a recently published work26.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Wingo, T. S. et al. Shared mechanisms across the major psychiatric and neurodegenerative diseases. Nat. Commun. 13, 4314 (2022). source
- Interpretationreasoning
miR-QTL mapping detects potentially important genetic variants even for miRNAs located within protein-coding genes, which would not be found in other QTL studies.
“It also demonstrates that even for miRNAs located within protein-coding genes, miR-QTL mapping detects potentially important genetic variants that would not be found in other QTL studies.”
Quote in the paperSubstantial claim - Interpretationown data
miR-92b-3p is an independent causal mediator from EFNA3 in Parkinson's disease.
“Likewise, miR-92b-3p is an independent casual mediator from EFNA3 in Parkinson’s disease (Supplementary Figure 6, Supplementary Table 17).”
Quote in the paperSubstantial claim - Study design and conductcitation
The promoter and enhancer annotations were made using data from only 10 individuals and may have missed regulatory regions whose activity varies across individuals.
“Also, the promoter and enhancer annotations were made using data from only 10 individuals and may have missed regulatory regions whose activity varies across individuals31.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [31] Nott, A. et al. Brain cell type–specific enhancer–promoter interactome maps and disease-risk association. Science 366, 1134–1139 (2019). source
Not checked in the free run.
- Interpretationown data
miRNAs may have biological roles distinct from the functions of their host genes.
“Notably, we found that the majority of intragenic miRNAs were not genetically co-regulated with their host genes, which may indicate that miRNAs have biological roles distinct from the functions of their host genes.”
Quote in the paperSubstantial claim - Premisereasoning
Because miR-QTL mapping used dense genotyping, many miR-QTLs are in high linkage disequilibrium and represent essentially the same genetic signal.
“Since we performed the miR-QTL mapping using dense genotyping, many miR-QTLs are in high linkage disequilibrium (LD) and represent essentially the same genetic signal.”
Quote in the paperSubstantial claim - Study design and conductreasoning
Focusing on MirGeneDB may have missed some true miRNAs that did not meet the criteria of that database.
“Finally, since we focused the analyses on the manually curated miRNAs present in MirGeneDB, we may have missed some true miRNAs that did not meet the criteria of that database.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Differences between the cross-tissue studies likely stem from differences in sample sizes.
“These results suggest differences between the studies likely stem from differences in sample sizes.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The observed depletion of miR-QTLs in microglia enhancers is likely an artifact arising from the combination of the enhancers being largely mutually exclusive across cell types, the low power to detect miR-QTLs specific to microglia cells, and the enrichment of miR-QTLs in enhancers of other cell types.
“The observed depletion of miR-QTLs in microglia enhancers is likely an artifact arising from the combination of the enhancers being largely mutually exclusive across cell types, the low power to detect miR-QTLs specific to microglia cells, and the enrichment of miR-QTLs in enhancers of other cell types.”
Quote in the paperSubstantial claim - Interpretationreasoning
The three studies have important differences, such as sample size, approach to miRNA quantification, number of miRNAs considered, and analytic approach, that influence miRNA-QTL detection.
“However, the three studies have important differences, such as sample size, approach to miRNA quantification, number of miRNAs considered, and analytic approach, that influence miRNA-QTL detection.”
Quote in the paperSubstantial claim - Study design and conductreasoning
We minimized the impact of cell-type variation by estimating surrogate variables and including these as covariates in the regression models for miR-QTL mapping.
“First, we minimized the impact of cell-type variation by estimating surrogate variables and including these as covariates in the regression models for miR-QTL mapping.”
Quote in the paperSubstantial claim - Study design and conductown data
All participants were of European ancestry.
“Second, although we characterized miRNA expression in a relatively large sample, all the participants were of European ancestry, and expanding studies to include people of diverse ancestry is imperative.”
Quote in the paperSubstantial claim - Interpretationown data
This study is the first to use human brain miRNA expression profiles to provide support for a causal role of these miRNAs.
“Our study complements this existing literature and is the first to use human brain miRNA expression profiles to provide support for a causal role of these miRNAs.”
Quote in the paperSubstantial claim - Interpretationnone given
This is the largest set of genome-wide miRNA sequencing profiles from human brain to the best of our knowledge.
“Finally, this is the largest set of genome-wide miRNA sequencing profiles from human brain to the best of our knowledge.”
Quote in the paperSubstantial claim
- May combine two claims. 36
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 55
May combine two claims.
Findingown dataOne miRNA had pQTLs for two genes (miR-1307-5p with LYPLA2 and PPFIA3), and two miRNAs from the same precursor (miR-1307-3p and −5p) both had pQTLs for predicted target PPFIA3.
“One miRNA had pQTLs for two genes (miR-1307–5p with LYPLA2 and PPFIA3), and two miRNAs from the same precursor (miR-1307–3p and −5p) both had pQTLs for predicted target PPFIA3.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOf the 76 eMiRs identified in whole blood, 55 were tested in our study and 30 (55%) were identified as eMiRs.
“Conversely, of the 76 eMiRs identified in whole blood, 55 were tested in our study and we identified 55% of those (30 of 55) as eMiRs (Supplementary Figure 3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [33] Huan, T. et al. Genome-wide identification of microRNA expression quantitative trait loci. Nat. Commun. 6, 6601 (2015). source
May combine two claims.
Findingown dataThree index miR-QTLs were located within the miRNA precursor sequence, including one located within the mature miRNA.
“Three index miR-QTLs were located within the miRNA precursor sequence, including one located within the mature miRNA (Supplementary Table 7).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataColocalization or lack thereof was consistent at the eQTL and pQTL level for 37 miRNA-host gene pairs, while colocalization was found at the eQTL level only for 8 pairs and pQTL level only for 5 pairs.
“Colocalization or lack thereof was consistent at the eQTL and pQTL level for 37 miRNA-host gene pairs, while colocalization was found at the eQTL level only for 8 pairs and pQTL level only for 5 pairs.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOf the 224 eMiRs identified, 73 were tested in whole blood and 30 (41%) were identified as eMiRs in that context.
“Of the 224 eMiRs we identified, 73 were tested in whole blood and 41% of those (30 of 73) were identified as eMiRs in that context.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [33] Huan, T. et al. Genome-wide identification of microRNA expression quantitative trait loci. Nat. Commun. 6, 6601 (2015). source
The quote only partly states this claim.
Findingown dataUsing miRBase to map miRNA reads, miR-QTLs were identified for 326 miRNAs at FDR < 1%.
“Considering SNPs within 500kb of the precursor sequences, we tested 1,315,257 SNP-miRNA pairs and observed miR-QTLs for 326 miRNAs at false discovery rate (FDR) < 1% (unadjusted P-value < 2.98 × 10−4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 11 miRNA-target pairs involved 10 mature miRNAs from nine precursors, and 10 unique target genes.
“These 11 pairs involved 10 mature miRNAs from nine precursors, and 10 unique target genes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataGenetic PCs are strongly correlated with genotype platform.
“We observed that the genetic PCs are strongly correlated with genotype platform.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataOur analysis used bulk tissue, and microglia are a minor cell type in our samples.
“Our analysis, on the other hand, used bulk tissue, and microglia are a minor cell type in our samples.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown datamiR-1908-5p mediates the association between its miR-QTLs and FADS1 but does not mediate the association between its miR-QTLs and TMEM258.
“Using SMR for two molecular traits, we found evidence that miR-1908–5p mediates the association between its miR-QTLs and FADS1 but does not mediate the association between its miR-QTLs and TMEM258 (Supplementary Table 17).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown datamiR-QTLs are significantly depleted in microglia enhancers.
“Unexpectedly, we observed significant depletion of miR-QTLs in microglia enhancers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSample size varied across different proteins from 76 to 716 participants due to differences in missingness rate across proteins.
“Sample size varied across different proteins from 76 to 716 participants due to differences in missingness rate across proteins.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataOf the 716 participants included in the pQTL and SMR analysis, 565 are from the ROS/MAP cohort and 511 of those overlap the 604 participants included in the miR-QTL analysis.
“Of the 716 participants included in the pQTL and SMR analysis, 565 are from the ROS/MAP cohort and 511 of those overlap the 604 participants included in the miR-QTL analysis.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTwo miRNAs were causal in two brain traits: miR-1908-5p in both bipolar disorder and major depressive disorder, and miR-499a-5p in both bipolar disorder and schizophrenia.
“Notably, two miRNAs were causal in two brain traits—miR-1908–5p in both bipolar disorder and major depressive disorder and miR-499a-5p in both bipolar disorder and schizophrenia (Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationmiR-1908-5p is located within FADS1 and is close to TMEM258, which are causal mRNAs in both bipolar disorder and major depression.
“Specifically, miR-1908–5p, causal in both bipolar disorder and major depression, is located within FADS1 and is close to TMEM258, which are causal mRNAs in both bipolar disorder and major depression26 (Figure 5; Supplementary Table 17).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Wingo, T. S. et al. Shared mechanisms across the major psychiatric and neurodegenerative diseases. Nat. Commun. 13, 4314 (2022). source
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe distribution of conditionally independent miR-QTLs per eMiR is similar to what was observed with miRBase.
“The distribution of the conditionally-independent miR-QTLs per eMiR is similar to what we observed with miRBase.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown data672 samples with RIN ≥ 2.1 were selected for miRNA library preparation.
“The average RIN score for all 743 RNA samples was 5.5; 672 samples with RIN ≥ 2.1 were selected for miRNA library preparation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe average RIN score for all 743 RNA samples was 5.5.
“The average RIN score for all 743 RNA samples was 5.5; 672 samples with RIN ≥ 2.1 were selected for miRNA library preparation.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataPC analysis showed that PC1 separates samples based on genotype source (WGS v. array).
“The PC analysis showed that PC1 separates samples based on genotype source (WGS v. array).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataPC analysis confirmed that all samples cluster with the 1KG CEU population.
“PC analysis also confirmed that all samples cluster with the 1KG CEU population.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown datamiR-1908-5p miR-QTLs colocalize with FADS1 eQTLs and the miRNA and transcript abundances are negatively correlated.
“As mentioned in section 2.2, miR-1908–5p miR-QTLs colocalize with FADS1 eQTLs and the miRNA and transcript abundances are negatively correlated.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationmiR-149-5p has its own intronic promoter.
“For one of these pairs, miR-149–5p and host gene GPC1, previous work has shown that the miRNA targets the host gene in endothelial cells, has its own intronic promoter, and is activated independently of the host gene22.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Chamorro-Jorganes, A., Araldi, E., Rotllan, N., Cirera-Salinas, D. & Suárez, Y. Autoregulation of glypican-1 by intronic microRNA-149 fine tunes the angiogenic response to FGF2 in human endothelial cells. J. Cell Sci. 127, 1169–1178 (2014). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe QTL sharing detected is modest, but this is not surprising given the expected small effect sizes for trans-pQTLs.
“While the QTL sharing we detected is modest, this is not surprising given the expected small effect sizes for trans-pQTLs.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataIn both additional cases, the top SMR SNP is associated with miRNA and protein abundance in the same direction, which is not consistent with a causal role for the miRNA.
“In both cases, the top SMR SNP is associated with the miRNA and protein abundance in the same direction, which is not consistent with a causal role for the miRNA.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationmiR-149-5p is activated independently of host gene GPC1.
“For one of these pairs, miR-149–5p and host gene GPC1, previous work has shown that the miRNA targets the host gene in endothelial cells, has its own intronic promoter, and is activated independently of the host gene22.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Chamorro-Jorganes, A., Araldi, E., Rotllan, N., Cirera-Salinas, D. & Suárez, Y. Autoregulation of glypican-1 by intronic microRNA-149 fine tunes the angiogenic response to FGF2 in human endothelial cells. J. Cell Sci. 127, 1169–1178 (2014). source
May combine two claims.
Interpretationown dataFor the majority of intragenic miRNAs, the miR-QTL signal is not explained by host gene eQTLs, and miR-QTLs provide information complementary to eQTLs.
“In any case, the findings show that for the majority of intragenic miRNAs, the miR-QTL signal is not explained by host gene eQTLs, and miR-QTLs provide information that is complementary to that from eQTLs.”
- Also stated in: § Abstract · plain
“intragenic miRNAs often did not share QTLs with their host gene”
Quote in the paperSubstantial claim- Also stated in: § Abstract · plain
May combine two claims.
Interpretationown dataWe observe significant sharing of miRNA genetic regulation between contexts, but important differences in study design and power limit further inference.
“Taken together, we observe significant sharing of miRNA genetic regulation between contexts, but important differences in study design and power limits further inference.”
Quote in the paperSubstantial claim- Rests on an assumption: The detected miR-QTLs in each study reflect not only differences in miRNA genetic regulation across contexts but also the sensitivity and specificity of each study.
Classified as probably not a substantial claim.
PremisecitationmiR-149-5p targets host gene GPC1 in endothelial cells.
“For one of these pairs, miR-149–5p and host gene GPC1, previous work has shown that the miRNA targets the host gene in endothelial cells, has its own intronic promoter, and is activated independently of the host gene22.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Chamorro-Jorganes, A., Araldi, E., Rotllan, N., Cirera-Salinas, D. & Suárez, Y. Autoregulation of glypican-1 by intronic microRNA-149 fine tunes the angiogenic response to FGF2 in human endothelial cells. J. Cell Sci. 127, 1169–1178 (2014). source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenWe removed very lowly-expressed miRNAs, defined as < 1 RPM for > 50% of samples.
“We removed very lowly-expressed miRNAs, which we defined as those with < 1 RPM for > 50% of samples.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenWe focused on GWAS summary statistics results from samples of individuals with European ancestry.
“We focused on GWAS summary statistics results from samples of individuals with European ancestry (Supplementary Table 13).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationmiR-1908-5p was previously observed to be differentially expressed in blood in the acute bipolar state compared to remission state.
“Notable among those, miR-1908–5p was previously observed to be differentially expressed in blood in the acute bipolar state compared to remission state62, which suggests that miR-1908–5p is relevant to bipolar disorder despite its relatively low abundance.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] Bennett, D. A. et al. Religious Orders Study and Rush Memory and Aging Project. J. Alzheimers Dis. 64, S161–S189 (2018). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenLinear regression was performed to compare luminescence between experimental conditions adjusting for plate effects.
“Linear regression was performed to compare luminescence between experimental conditions adjusting for plate effects.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationSample outliers with respect to population structure were removed using EIGENSTRAT.
“Sample outliers with respect to population structure were removed using EIGENSTRAT69.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [69] Price, A. L. et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat. Genet. 38, 904–909 (2006). source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataSurrogate variables were estimated from normalized counts using R package 'sva', with number set at 15 based on num.sv function.
“Surrogate variables (SVs) were estimated from the normalized counts using R package ‘sva’. The number of SVs to estimate was set at 15 based on the results of the num.sv function, and SVs were estimated with a randomly-generated binary variable as the variable of interest and miRNA batch, PMI, RIN, age at death, cognitive diagnosis at death, study (ROS v. MAP), and sex as adjustment variables.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor miRNAs with multiple precursors that were less than 500 Kb apart, SNPs that fell in the padding region for multiple precursors were tested only once for the miRNA.
“For miRNAs with multiple precursors that were less than 500 Kb apart, SNPs that fell in the padding region for multiple precursors were tested only once for the miRNA.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationWe calculated the top ten genetic PCs using PLINK2 to be used as covariates in the miR-QTL analysis.
“We calculated the top ten genetic PCs using PLINK273 to be used as covariates in the miR-QTL analysis.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [73] Chang, C. C. et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience 4, 7 (2015). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataThe integration of genome-wide miRNA profiles with GWAS results used multiple independent and complementary approaches.
“we integrated the genome-wide miRNA profiles with results from GWAS of these brain traits using multiple independent and complementary approaches (Figure 1).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationSecond degree and closer relatives were removed using KING.
“Second degree and closer relatives were removed using KING72.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [72] Manichaikul, A. et al. Robust relationship inference in genome-wide association studies. Bioinformatics 26, 2867–2873 (2010). source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenClinical diagnosis at death was based on the opinion of a neurologist with expertise in dementia who had access to select clinical but not postmortem data.
“Clinical diagnosis at death was based on the opinion of a neurologist with expertise in dementia who had access to select clinical but not postmortem data.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThese findings demonstrate that miR-QTLs can be used to prioritize putative trans-pQTLs and provide additional support for predicted interactions.
“While further investigation is necessary to confirm endogenous repression activity and the observed QTL associations, these findings are an initial demonstration of how miR-QTLs can be used to prioritize putative trans-pQTLs and provide additional support for predicted interactions.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductreasoningThe study expects to have captured the strongest miR-QTLs; larger studies would be expected to identify additional miR-QTLs with smaller effect sizes.
“We expect to have captured the strongest miR-QTLs; larger studies would be expected to identify additional miR-QTLs with smaller effect sizes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable). May combine two claims.
InterpretationcitationWe have high confidence in the validity of the miRNAs we did consider, which improves the signal in our observations and increases the confidence that our results provide a solid foundation to build on in future downstream analyses.
“The trade-off for this choice is that we have high confidence in the validity of the miRNAs we did consider, which improves the signal in our observations and increases the confidence that our results provide a solid foundation to build on in future downstream analyses11.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Fromm, B., Zhong, X., Tarbier, M., Friedländer, M. R. & Hackenberg, M. The limits of human microRNA annotation have been met. RNA 28, 781–785 (2022). source
Classified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenMiRNAs included in the analysis met the abundance threshold, had gene coordinate information, had at least one precursor gene located on an autosome, and had at least one common (MAF >5%) SNP within the test window.
“MiRNAs included in the analysis met the abundance threshold described above, had gene coordinate information in the coordinate file, had at least one precursor gene located on an autosome, and had at least one common (MAF >5%) SNP within the test window.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationFor miRWAS, we restricted the SNPs to the set of 1,190,321 SNPs in the linkage disequilibrium reference panel provided by FUSION.
“For the miRWAS analysis, we restricted the SNPs to the set of 1,190,321 SNPs in the linkage disequilibrium reference panel provided by FUSION35.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [35] Gusev, A. et al. Integrative approaches for large-scale transcriptome-wide association studies. Nat. Genet. 48, 245–252 (2016). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenProteomic profiles were represented by residuals after regressing out effects of batch, PMI, age at death, and cognitive diagnosis.
“Proteomic profiles were represented by residuals after regressing out effects of batch, PMI, age at death, and cognitive diagnosis.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataExcept for miR-1908-5p, the other three causal miRNAs are causal mediators independent of nearby causal transcripts and proteins.
“In summary, except for miR-1908–5p, the other three causal miRNAs are causal mediators independent of nearby causal transcripts and proteins and provide additional valuable biological insights into the pathogenesis of these psychiatric and neurodegenerative diseases.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenThe test window for each mature miRNA included the precursor sequence(s) plus 500 Kb symmetric padding around each precursor sequence.
“The test window for each mature miRNA included the precursor sequence(s) plus 500 Kb symmetric padding around each precursor sequence.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenSamples included in the analysis passed all genotyping and miRNA data QC, had normal cognition, MCI, AD, or other dementia at death, and were of European ancestry.
“Samples included in the analysis passed all genotyping and miRNA data QC, had normal cognition, MCI, AD, or other dementia at death, and were of European ancestry.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenOur observations fill a gap in the available resources for studying the role of miRNAs in the human brain.
“Nevertheless, our observations fill a gap in the available resources for studying the role of miRNAs in the human brain.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based).
Interpretationnone givenBrain miRNA genetic regulation may differ across stages of adulthood.
“Third, brain miRNA genetic regulation may differ across stages of adulthood and ought to be tested in future studies that include participants from a wider age range.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductnone givenInitial genotype filtering excluded samples with genotype missingness >5% or self-identified race other than White, and variants with HWE P<1e-8, missingness >5%, MAF <1%, or not SNP.
“Specifically, samples were excluded if they had genotype missingness >5% or were from participants who self-identified their race as other than White, and variants were excluded if they had evidence of deviation from Hardy Weinberg equilibrium (P-value < 1×10−8), genotype missingness >5%, minor allele frequency <1%, or were not a single nucleotide polymorphism (SNP).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenWe iteratively removed samples that were greater than 5 SD from the mean within the respective batch for total read count, trimmed read rate, and mapped read rate.
“First, we iteratively removed samples that were greater than 5 standard deviations (SD) from the mean within the respective batch for total read count, trimmed read rate, and mapped read rate.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe analysis was limited to European ancestry participants because of small sample sizes for participants from other genetic ancestries.
“The analysis was limited to these participants because of small sample sizes for participants from other genetic ancestries.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataAll participants provided informed consent, and the studies were approved by an Institutional Review Board.
“All participants provided informed consent, underwent annual cognitive evaluations, were organ donors, and signed an Anatomical Gift Act and repository consent to allow their data and biospecimens to be repurposed. An Institutional Review Board of Rush University Medical Center approved both studies and we have complied with all relevant ethical regulations.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe large sample enabled us to conduct well-powered miR-QTL analysis and to successfully integrate these results with GWAS data to identify miRNAs contributing to the pathogenesis of psychiatric and neurodegenerative diseases.
“This enabled us to conduct well-powered miR-QTL analysis and to successfully integrate these results with GWAS data to identify miRNAs contributing to the pathogenesis of psychiatric and neurodegenerative diseases.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationThe miR-92b we identified to be causal in Parkinson's disease has been shown to target PTEN, promote neurite development, and maintain neuroblast self-renewal.
“Notably, the miR-92b we identified to be causal in Parkinson’s disease has been shown to target PTEN, promote neurite development58, and maintain neuroblast self-renewal59.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [58] Yuva-Aydemir, Y. et al. Downregulation of the host gene jigr1 by miR-92 is essential for neuroblast self-renewal in Drosophila. PLoS Genet. 11, e1005264 (2015). source
- cites [59] Cano-Gamez, E. & Trynka, G. From GWAS to function: using functional genomics to identify the mechanisms underlying complex diseases. Front. Genet. 11, 424 (2020). source
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Study design and conductnone givenThe findings would be strengthened by replication in an independent sample.
“First, the findings would be strengthened by replication in an independent sample.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductcitationImputation was performed to 1000 Genome Project Phase 3 using Michigan Imputation Server, and SNPs with R2>0.3 were retained.
“For samples with array-based genotypes, imputation was performed to 1000 Genome Project Phase 370 using the Michigan Imputation Server71, and SNPs with R2>0.3 were retained.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [70] Abecasis, G. R. et al. An integrated map of genetic variation from 1,092 human genomes. Nature 491, 56–65 (2012). source
Not checked in the free run.
- cites [71] Das, S. et al. Next-generation genotype imputation service and methods. Nat. Genet. 48, 1284–1287 (2016). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningFour unique miRNAs are consistent with a causal role in Parkinson's disease (miR-92b-3p), bipolar disorder (miR-1908-5p and miR-499a-5p), major depressive disorder (miR-1908-5p), post-traumatic stress disorder (miR-190b-5p), and schizophrenia (miR-499a-5p).
“Further imposing the remaining three criteria described above, we found four unique miRNAs to be consistent with a causal role in Parkinson’s disease (miR-92b-3p), bipolar disorder (miR-1908–5p and miR-499a-5p), major depressive disorder (miR-1908–5p), post-traumatic stress disorder (miR-190b-5p), and schizophrenia (miR-499a-5p) (Table 2).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenEach miRNA mimic/3'-UTR reporter construct pair was transfected in quadruplicate on each plate.
“Each miRNA mimic/3’-UTR reporter construct pair was transfected in quadruplicate on each plate.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationWe limited this analysis to SNPs within 50 Kb of miRNA genes to reduce confounding between distance to nearest gene and probability that a genomic region harbors a promoter.
“We limited this analysis to SNPs within 50 Kb of miRNA genes because doing so reduces the potential effect of confounding between distance to nearest gene and probability that a genomic region harbors a promoter60.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [60] Chandra, V. et al. Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants. Nat. Genet. 53, 110–119 (2021). source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningDifferences in power due to sample size are likely the most salient and make direct comparisons challenging to interpret.
“Differences in power due to sample size are likely the most salient and make direct comparisons challenging to interpret.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningFor the three trans pairs, the top SMR SNP is associated with miRNA and protein abundance in opposite directions, which is consistent with the QTL acting in trans on protein abundance through its cis effect on miRNA abundance.
“Furthermore, for these three pairs, the top SMR SNP is associated with miRNA and protein abundance in opposite directions, which is consistent with the QTL acting in trans on the protein abundance through its cis effect on miRNA abundance.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenOur analyses were conducted using samples from a specific brain region (dlPFC) and our observations may not be characteristic of other brain regions.
“Fourth, our analyses were conducted using samples from a specific brain region (dlPFC) and our observations may not be characteristic of other brain regions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSamples that were greater than 4 SD from the mean of either of the first two PCs were removed.
“Principal components (PCs) were estimated, and samples that were greater than 4 SD from the mean of either of the first two PCs were removed.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataAll participants were over 70 years old at the time of death, and the median age of death was 90 years.
“All participants were over 70 years old at the time of death, and the median age of death was 90 years.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSome of the tested miRNAs had modest expression in our dlPFC bulk tissue samples.
“Fifth, some of the tested miRNAs had modest expression in our dlPFC bulk tissue samples and their cell type-specific expression levels need to be quantified in relevant cell types.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenWe performed parallel runs of the miR-QTL analysis using reads mapped independently to two sets of miRNA annotations - miRBase (Release 22.1) and MirGeneDB (version 2.1).
“Importantly, we performed parallel runs of the miR-QTL analysis using reads mapped independently to two sets of miRNA annotations – either the popular miRBase database (Release 22.1) or the curated MirGeneDB database (version 2.1).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSignificant difference was defined as P-value < 0.05.
“Significant difference was defined as P-value < 0.05.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSurrogate variables were designed to capture as much as possible the potentially unknown, unmeasured, or hidden confounding variables, including cell type heterogeneity.
“These surrogate variables were designed to capture as much as possible the potentially unknown, unmeasured, or hidden confounding variables, including cell type heterogeneity.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThis study presents the first evidence for the contribution of miR-1908-5p in major depression, miR-190b-5p in post-traumatic stress disorder, miR-499a-5p in schizophrenia, and miR-92b-3p in Parkinson's disease.
“We present here the first evidence for the contribution of miR-1908–5p in major depression, miR-190b-5p in post-traumatic stress disorder, miR-499a-5p in schizophrenia, and miR-92b-3p in Parkinson’s disease, to our knowledge.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor miRNAs mapped to multiple precursors, we kept the entry with the highest total count across samples.
“For miRNAs mapped to multiple precursors, we kept the entry with the highest total count across samples.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataWe examined the relationship of genetic regulation of miRNAs and their downstream targets using proteomic data.
“Second, we examined the relationship of genetic regulation of miRNAs and their downstream targets using proteomic data.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown datamiR-1908-5p likely contributes to bipolar disorder and major depression through its effect on FADS1 mRNA expression but acts independently from TMEM258.
“These findings suggest that miR-1908–5p likely contributes to bipolar disorder and major depression through its effect on FADS1 mRNA expression but acts independently from TMEM258.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenRaw counts were normalized for library size and transformed to log2 counts using EdgeR.
“The raw counts were then normalized for library size and transformed to log2 counts using EdgeR.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningWe filtered 11 samples to focus analysis on individuals of European ancestry based on genetic data.
“We then filtered 11 samples to focus analysis on individuals of European ancestry based on genetic data.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenBefore merging, variants with MAF < 5% in each dataset were removed.
“Before merging, variants with MAF < 5% in each dataset were removed.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSVs were estimated with a randomly-generated binary variable as the variable of interest and miRNA batch, PMI, RIN, age at death, cognitive diagnosis at death, study, and sex as adjustment variables.
“Surrogate variables (SVs) were estimated from the normalized counts using R package ‘sva’. The number of SVs to estimate was set at 15 based on the results of the num.sv function, and SVs were estimated with a randomly-generated binary variable as the variable of interest and miRNA batch, PMI, RIN, age at death, cognitive diagnosis at death, study (ROS v. MAP), and sex as adjustment variables.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Interpretationnone givenProteomic data may better capture the effect of miRNA post-transcriptional regulation on target genes than transcriptomic data.
“Proteomic data may better capture the effect of miRNA post-transcriptional regulation on target genes than transcriptomic data, which is more commonly used.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenThe power of this analysis is tied to the relatively large sample size for the miRNA profiles, and there is not an independent comparable brain miRNA dataset for replication at this time.
“The power of this analysis is tied to the relatively large sample size for the miRNA profiles, and there is not an independent comparable brain miRNA dataset for replication at this time.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSamples were randomized into batches of 8 for miRNA library preparation based on RIN, PMI, sex, cognitive diagnosis, amyloid, tangles, depression, education, and sense of life purpose.
“Based on RIN, PMI, sex, cognitive diagnosis, amyloid, tangles, depression, education, and sense of life purpose, samples were randomized into batches of 8 for miRNA library preparation.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
How GWAS risk loci confer risk in psychiatric and neurologic diseases remains unclear.
“GWAS have identified many risk loci for brain illnesses; however, how these loci confer risk in these psychiatric and neurologic diseases remain unclear.”
The paper relies on this without support.
Integrating GWAS signals with gene expression and QTL data from a reference set is a powerful strategy for identifying genes associated with complex traits in the absence of expression measures in the larger GWAS participants.
“Recently, integrating GWAS signals with gene expression and QTL data from a reference set has become a powerful strategy for identifying genes that are associated with complex traits in the absence of expression measures in the larger GWAS participants.”
The paper relies on this without support.
The detected miR-QTLs in each study reflect not only differences in miRNA genetic regulation across contexts but also the sensitivity and specificity of each study.
“It is important to recognize that the detected miR-QTLs in each study reflect not only differences in miRNA genetic regulation across contexts but also the sensitivity and specificity of each study.”
The paper relies on this without support.
miRNAs may share QTLs with nearby genes due to linkage disequilibrium, pleiotropy, or mediation.
“Since miRNAs may share QTLs with nearby genes due to linkage disequilibrium, pleiotropy, or mediation, we examined whether the causal role could be attributed to the above identified miRNAs instead of their nearby genes.”
The paper relies on this without support.
QTLs for master regulators such as miRNAs can potentially have an outsized effect since they can influence the expression of many other genes.
“QTLs for master regulators such as miRNAs can potentially have an outsized effect since they can influence the expression of many other genes.”
The paper relies on this without support.
MirGeneDB contains less than 30% of the annotations in miRBase due to its more stringent inclusion criteria.
“MirGeneDB contains less than 30% of the annotations in miRBase due to its more stringent inclusion criteria.”
The paper relies on this without support.
The relative proportions of the cell type in bulk tissue does not create a bias in the promoter and enhancer distributions across cell types.
“The promoter and enhancer detection was done using pooled sorted single nuclei31, so the relative proportions of the cell type in bulk tissue does not create a bias in the promoter and enhancer distributions across cell types.”
The authors state this as an assumption.
SNP allele dosage has an additive effect on miRNA abundance.
“The effect of SNP allele dosage (assuming an additive effect) on miRNA abundance was estimated for each SNP-miRNA pair in turn using the --glm function from PLINK2.”
The paper relies on this without support.
SMR association can arise from causality or pleiotropy of a single SNP that affects both the exposure and outcome, or from linkage of SNPs with distinct effects on the exposure and outcome.
“SMR association can arise from causality or pleiotropy of a single SNP that affects both the exposure and outcome, or from linkage of SNPs with distinct effects on the exposure and outcome.”
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 miR-33 family is associated with lipid metabolism in the brain, and the miR-181b family was implicated in myelin-assisted axon regeneration.
“The miR-33 family is associated with lipid metabolism in the brain 58 , and the miR-181b family was implicated in myelin-assisted axon regeneration 59 .”
From Human brain microRNAs exhibit cell-type specificity and age dependence (2026) · cites this paper as [59]
Statistics recomputed
Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.
- Consistentχ²(1) = 4.3reported p = .038 · recomputed p = .038
“X2(1, N = 173) = 4.3, p = .038”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Two miRNA-host-gene pairs are unaccounted for
MinorProteomics data were available for 52 pairs, but the three reported colocalization categories account for only 50 (37 + 8 + 5). The outcomes for two pairs are not explained.
Reported 52 · recomputed 50
“we also had proteomics data available for 52 of the 106 miRNA-gene pairs to test colocalization between miR-QTLs and host gene pQTLs (Supplementary Table 10). Colocalization or lack thereof was consistent at the eQTL and pQTL level for 37 miRNA-host gene pairs, while colocalization was found at the eQTL level only for 8 pairs and pQTL level only for 5 pairs.”
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Self-citationStein, M. B., Levey, D. F., Cheng, Z., Wendt, F. R., Harrington, K. M., Pathak, G. A., Cho, K., Quaden, R. M., Radhakrishnan, K., Girgenti, M. J., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00767-x · Cited by 230 · see citing works
Shared mechanisms across the major psychiatric and neurodegenerative diseases
Wingo, T. S., Liu, Y., Gerasimov, E. S., Vattathil, S. M., Wynne, M. E., Liu, J., Lori, A., Faundez, V., Bennett, D. A., Seyfried, N. T., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31873-5 · Cited by 199 · see citing works
Self-citationGenome-wide identification of microRNA expression quantitative trait loci
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MirGeneDB 2.1: toward a complete sampling of all major animal phyla
Fromm, B., Høye, E., Domanska, D., Zhong, X., Aparicio-Puerta, E., Ovchinnikov, V., Umu, S. U., Chabot, P. J., Kang, W., Aslanzadeh, M., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkab1101 · Cited by 167 · see citing works
Shared proteomic effects of cerebral atherosclerosis and Alzheimer’s disease on the human brain
Wingo, A. P., Fan, W., Duong, D. M., Gerasimov, E. S., Dammer, E. B., Liu, Y., Harerimana, N. V., White, B., Thambisetty, M., Troncoso, J. C., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0635-5 · Cited by 161 · see citing works
Self-citationToward the human cellular microRNAome
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PROmiRNA: a new miRNA promoter recognition method uncovers the complex regulation of intronic miRNAs
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Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants
Chandra, V., Bhattacharyya, S., Schmiedel, B. J., Madrigal, A., Gonzalez-Colin, C., Fotsing, S., Crinklaw, A., Seumois, G., Mohammadi, P., Kronenberg, M., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00745-3 · Cited by 123 · see citing works
miRge3.0: a comprehensive microRNA and tRF sequencing analysis pipeline
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Sex differences in brain protein expression and disease
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Self-citationA quantitative map of human primary microRNA processing sites
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Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits
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Assessing the functional association of intronic miRNAs with their host genes
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The limits of human microRNA annotation have been met
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Prioritizing and selecting likely novel miRNAs from NGS data
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Integrative genetic analysis illuminates ALS heritability and identifies risk genes
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Bias in recent miRBase annotations potentially associated with RNA quality issues
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A genome-wide integrative study of microRNAs in human liver
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Dysregulation of miR-499, miR-708 and miR-1908 during a depression episode in bipolar disorders
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Genetic and functional analyses implicate microRNA 499A in bipolar disorder development
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MicroRNA-eQTLs in the developing human neocortex link miR-4707-3p expression to brain size
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Fine Regulation of MicroRNAs in Gene Regulatory Networks and Pathophysiology
Seida, M., Ogami, K., Yoshino, S., & Suzuki, H. I. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26072861 · Cited by 24 · see citing works
Yu, J., Feng, Q., Zheng, J., Liu, H., Liu, H., Zhou, R., Jiang, X., Yan, H., Liang, Z., Chen, M., et al. (2025) · Advanced Materials · doi:10.1002/adma.202515338 · Cited by 11 · see citing works
Brain microRNAs differentially expressed in age-related cerebral pathologies
Luo, T., Vattathil, S. M., Lori, A., Schneider, J. A., Bennett, D. A., Wingo, T. S., & Wingo, A. P. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.03.014 · Cited by 6 · see citing works
Self-citationComprehensive study of tRNA-derived fragments in plants for biotic stress responses
Swain, S. P., Bisht, N., & Kumar, S. (2025) · Functional & Integrative Genomics · doi:10.1007/s10142-025-01576-3 · Cited by 5 · see citing works
Effects of brain microRNAs in cognitive trajectory and Alzheimer’s disease
Vattathil, S., Tan, S. S. M., Kim, P. J., Bennett, D. A., Schneider, J. A., Wingo, A. P., & Wingo, T. S. (2024) · Acta Neuropathologica · doi:10.1007/s00401-024-02818-7 · Cited by 4 · see citing works
Self-citationPatel, S., Kushwaha, R., Sinha, D., Kumar, A., & Chakravarty, S. (2025) · Neuroglia · doi:10.3390/neuroglia6040042 · Cited by 3 · see citing works
Kong, L., Zheng, J., Qiang, L., & Chen, S. (2026) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s562131 · Cited by 1 · see citing works
Human brain microRNAs exhibit cell-type specificity and age dependence
Dubnov, S., Laski, L., Zchut, I., Avidan, O., Bennett, E. R., Greenberg, D. S., Turjeman, A., Nitzan, M., Paldor, I., & Soreq, H. (2026) · doi:10.64898/2026.01.04.697535
Jin, Y., & Zhang, Y. (2025) · Clinical and Applied Thrombosis/Hemostasis · doi:10.1177/10760296251386028
Genetic architecture of miRNA expression in human brain and its contribution to brain disordersPreprint
Patil, A. H., Rajpurohit, A., Lee, Y. K., Montoya, C., Wright, C., Pertia, G., Hyde, T. M., Kleinman, J. E., Shin, J. H., Weinberger, D. R., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.15.699788
Aging Rhesus Macaque show tissue and sex-specific balance of drifting and coordinated miRNA programsPreprint
Rishik, S., Nutma, E., Ludwig, N., Fischer, U., Tänzer, T., Rheinheimer, S., Hart, M., Gröger, L., Meerjanssen, J., Flotho, M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.27.720577
Recent advances in brain aging and epigenetics
Hong-Da, L. I. U., ZHANG, J., & Qiang, L. I. U. (2026) · Shengming kexue · doi:10.3724/cbls.2026086
Small Noncoding RNAs: microRNAs in Physiology and Pathology
Haseltine, W. A., & Patarca, R. (2026) · Springer eBooks · doi:10.1007/978-3-032-30270-0_5
Cui, P., Luo, G., & Zhang, X. (2026) · ALPHA PSYCHIATRY · doi:10.31083/ap52709
- Authors
- Vattathil, S. M., Gerasimov, E. S., Canon, S. M., Lori, A., Tan, S. S. M., Kim, P. J., Liu, Y., Lai, E. C., Bennett, D. A., Wingo, T. S., & Wingo, A. P.
- Affiliations
- University of California, Davis (US)
- Emory University (US)
- Rush University Medical Center (US)
- VA Northern California Health Care System (US)
- Corresponding author
- Wingo, Thomas S.
- Wingo, Aliza P.
- ORCID
- Venue
- Nature Aging
- Published
- 2024-12-06
- Volume
- 5
- Issue
- 2
- Pages
- 306-319
- ISSN
- 2662-8465 (ISSN-L)
- PMC
- PMC11839474
- OpenAlex
- W4405115868
- Cited by
- 14
- References
- 76
- Citations by year
- 2026: 7 · 2025: 6 · 2024: 1
- FWCI
- 2.10
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Aging (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- PubMed Central (submittedVersion, cc-by-nd)
- Funders
- U.S. Department of Veterans Affairs (IK4 BX005219)
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (I01 BX003853, R01 AG056533, P30AG10161, P30AG72975, R01AG15819, R01AG17917, U01AG46152, U01AG61356, R01 AG075827, R01 AG072120)
- U.S. Department of Health & Human Services | National Institutes of Health (P30-CA008748)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Keywords
- microRNA expression, dorsolateral prefrontal cortex, regulatory elements, enhancers, promoter, neuropsychiatric disorders, bipolar disorder, depression, schizophrenia, Parkinson's disease, neurodegenerative diseases
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 2026-11-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-06.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
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