Rare coding variants in ten genes confer substantial risk for schizophrenia
Open accessPublished version of a preprint
Abstract
Rare coding variation has historically provided the most direct connections between gene function and disease pathogenesis. By meta-analysing the whole exomes of 24,248 schizophrenia cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in 10 genes as conferring substantial risk for schizophrenia (odds ratios of 3–50, P < 2.14 × 10−6) and 32 genes at a false discovery rate of <5%. These genes have the greatest expression in central nervous system neurons and have diverse molecular functions that include the formation, structure and function of the synapse. The associations of the NMDA (N-methyl-d-aspartate) receptor subunit GRIN2A and AMPA (α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid) receptor subunit GRIA3 provide support for dysfunction of the glutamatergic system as a mechanistic hypothesis in the pathogenesis of schizophrenia. We observe an overlap of rare variant risk among schizophrenia, autism spectrum disorders1, epilepsy and severe neurodevelopmental disorders2, although different mutation types are implicated in some shared genes. Most genes described here, however, are not implicated in neurodevelopment. We demonstrate that genes prioritized from common variant analyses of schizophrenia are enriched in rare variant risk3, suggesting that common and rare genetic risk factors converge at least partially on the same underlying pathogenic biological processes. Even after excluding significantly associated genes, schizophrenia cases still carry a substantial excess of URVs, which indicates that more risk genes await discovery using this approach. Whole-exome sequencing identifies ten risk genes for schizophrenia implicated by rare protein-coding variants, a subset of which overlap with risk genes in other neurodevelopmental disorders.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 56 cited sources checked · 0 supported · 0 flagged
- Findingcitation
Genes prioritized from common variant analyses of schizophrenia are enriched for rare variant risk.
“we demonstrate that genes prioritized from common variant analyses of schizophrenia are enriched in rare variant risk3”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Trubetskoy, V. et al. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature https://doi.org/10.1038/s41586-022-04434-5 (2022). source
Not checked in the free run.
- Findingnone given
Most genes identified here are not implicated in neurodevelopment.
“Most genes described here however are not implicated in neurodevelopment”
Quote in the paperNot a substantial claim - Findingown data
Even after excluding significantly associated genes, schizophrenia cases carry a substantial excess of URVs.
“Even after excluding significantly associated genes, schizophrenia cases still carry a substantial excess of URVs”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
- Findingown data
Combining findings with other sequencing studies reveals shared and distinct genetic signals between schizophrenia and other neurodevelopmental disorders.
“Combining these findings with other large-scale sequencing studies, we find shared and distinct genetic signals between schizophrenia and other neurodevelopmental disorders.”
Quote in the paperSubstantial claim - Findingown data
The top associations are supported by complementary variant types including case-control PTVs, damaging missense variants, and de novo mutations.
“These top associations as a group are supported by complementary types of variation that include case-control PTVs, damaging missense variants, and de novo mutations (Table 1, Table S5).”
Quote in the paperSubstantial claim
- Findingown data
De novo mutations are most strikingly enriched in 52 genes with case-control P<0.001 (P=2.1e-11; rate ratio=8.3, 95% CI 4.9-13).
“The most striking enrichment was observed for the 52 genes with case-control P < 0.001 (Class I mutations: P = 2.1 × 10−11; Rate ratio = 8.3, 95% CI = 4.9 – 13)”
Quote in the paperSubstantial claim - Findingown data
The implicated genes have diverse annotated functions including ion transport, neuronal migration and growth, transcriptional regulation, nuclear transport, and ubiquitin ligation.
“The annotated functions of these genes are diverse and include ion transport (CACNA1G, GRIN2A, and GRIA3), neuronal migration and growth (TRIO), transcriptional regulation (SP4, RB1CC1, and SETD1A), nuclear transport (XPO7), and ubiquitin ligation (CUL1, HERC1).”
Quote in the paperNot a substantial claim - Findingown data
Risk URVs in GRIA3 confer substantial risk for schizophrenia (P=5.98e-7; Class I OR 20.1, 95% CI 4.28-188).
“We additionally find that risk URVs in AMPA receptor subunit GRIA3 confer substantial risk (P = 5.98 × 10−7; Class I [PTV and MPC > 3] OR 20.1 95% CI 4.28 – 188; Table 1).”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
- Findingown data
Beyond the ten significant genes, 22 additional genes are identified at FDR<5%.
“Beyond these ten genes, we identify 22 additional genes at a False Discovery Rate (FDR) < 5% (Figure 2A, Table S5).”
Quote in the paperNot a substantial claim - Findingown data
Notable deviation at the tail of the distribution beyond associated genes.
“We observe notable deviation at the tail of the distribution beyond the associated genes”
Quote in the paperNot a substantial claim - Findingcitation
Common and ultra-rare coding variants identify an overlapping set of genes.
“In tandem with a companion paper from the Psychiatric Genomics Consortium13, we provide evidence that common and ultra-rare coding variants identify an overlapping set of genes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Loh, P.-R. et al. Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis. Nat. Genet. 47, 1385–1392 (2015). source
Not checked in the free run.
- Findingreasoning
Increasing sample size led to identification of 10 genes with URVs conferring substantial risk at exome-wide significance.
“As predicted by apparent rare variant burden in schizophrenia, increasing the sample size has led to the identification of 10 genes with URVs that confer substantial risk at exome-wide significance.”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
- Findingown data
PTV and damaging missense variants in GRIN2A confer substantial risk for schizophrenia (P=7.37e-7; Class I OR 24.1, 95% CI 5.36-221; Class II OR 2.37, 95% CI 1.1-4.92).
“Here, we find that PTV and damaging missense variants in NMDA receptor subunit GRIN2A confer substantial risk for schizophrenia (P = 7.37 × 10−7; Class I [PTV and MPC > 3] OR 24.1, 95% CI 5.36 – 221; Class II [MPC > 2] OR 2.37, 95% CI 1.1 – 4.92).”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
- Findingown data
Meta-analysis of 24,248 cases, 97,322 controls, and de novo mutations from 3,402 trios implicates 10 genes where ultra-rare coding variants are significantly associated with schizophrenia (P<2.14e-6, 0.05/23,321 tests).
“Combined, our meta-analysis of 24,248 cases, 97,322 controls, and de novo mutations from 3,402 trios implicates 10 genes in which ultra-rare coding variants are significantly associated with schizophrenia (P < 2.14 × 10−6 corresponding to 0.05/23,321 tests; Figure 2A, 2B).”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
- Findingown data
Schizophrenia risk genes are enriched in expression in neuronal tissues.
“and enriched in expression in neuronal tissues.”
Quote in the paperNot a substantial claim - Findingown data
The genome-wide signal in constrained genes (pLI > 0.9: OR = 1.26, P = 7.6 × 10−35) remains significant after excluding the 32 FDR < 5% genes (OR = 1.23, P = 4.3 × 10−27).
“the genome-wide signal in constrained genes (pLI > 0.9: OR = 1.26, P = 7.6 × 10−35) remains significant even after excluding the 32 FDR < 5% genes (OR = 1.23, P = 4.3 × 10−27; Figure 6B, Table S4)”
Quote in the paperSubstantial claim - Findingcitation
De novo missense mutations in TRIO significantly disrupted the exons preceding or containing the RhoGEF domain.
“De novo missense mutations in TRIO significantly disrupted the exons preceding or containing the RhoGEF domain (Figure 5C)37,38”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [37] Haukka, J., Suvisaari, J. & Lönnqvist, J. Fertility of patients with schizophrenia, their siblings, and the general population: a cohort study from 1950 to 1959 in Finland. Am. J. Psychiat. 160, 460–463 (2003). source
Not checked in the free run.
- cites [38] Laursen, T. M. & Munk-Olsen, T. Reproductive patterns in psychotic patients. Schizophr. Res. 121, 234–240 (2010). source
Not checked in the free run.
- Findingown data
Among the FDR < 5% genes, ASH1L, KDM6B, and NR3C2 were associated with autism spectrum disorder.
“Among these FDR < 5% genes, ASH1L, KDM6B and NR3C2 were associated with ASD 1 (Table S13).”
Quote in the paperNot a substantial claim - Findingown data
In the full schizophrenia dataset, cases had 0.057 extra singleton protein-truncating variants per individual compared with controls (95% CI 0.049-0.065).
“We observed 0.057 (0.049 – 0.065 95% CI) extra singleton PTV variants per individual in cases compared to controls”
Quote in the paperSubstantial claim - Findingown data
Among 32 FDR<5% schizophrenia risk genes, expression enrichment is widespread across CNS neurons with limited to no signal in glial cells and peripheral nervous system neurons.
“Here, we found widespread enrichments across central nervous system neurons with limited to no signal in glial cells and peripheral nervous system neurons (Table S10, Figure S17).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [33] Skene, N. G. et al. Genetic identification of brain cell types underlying schizophrenia. Nat. Genet. 50, 825–833 (2018). source
Not checked in the free run.
- cites [34] De Rubeis, S. et al. Synaptic, transcriptional and chromatin genes disrupted in autism. Nature 515, 209–215 (2014). source
Not checked in the free run.
- Rests on an assumption: Expression patterns in mouse nervous system cell types can be generalized to human schizophrenia risk genes.
- Findingown data
In 2,304 parent-proband trios, cases had 0.0394 extra inherited singleton protein-truncating variants per proband compared with controls (95% CI 0.014-0.065; 74%).
“In the 2,304 trios, 0.0394 (0.014 – 0.065 95% CI; 74%) extra singleton PTV variants were inherited per proband”
Quote in the paperSubstantial claim - Findingown data
A missense signal in SETD1A was also observed in this study.
“We also observed a missense signal in SETD1A in our study (Table 1; Figure S19).”
Quote in the paperNot a substantial claim - Findingown data
SETD1A had a significant de novo protein-truncating variant signal in developmental delay/intellectual disability (8 observed, 0.41 expected; P = 1.3 × 10−8).
“SETD1A had a significant de novo PTV signal in DD/ID (Xobs = 8, Xexp = 0.41; P = 1.3 × 10−8)”
Quote in the paperSubstantial claim - Findingown data
STAG1, which had a common and rare variant signal in schizophrenia, was associated with developmental delay/intellectual disability primarily through de novo missense mutations.
“STAG1, which had a common and rare variant signal in schizophrenia (Figure 4D), was associated with DD/ID primarily through de novo missense mutations (Figure 5B; Table S13).”
Quote in the paperNot a substantial claim - Findingown data
This study identifies genes in which disruptive coding variants confer substantial risk for schizophrenia at exome-wide significance.
“we identify genes in which disruptive coding variants confer substantial risk for schizophrenia at exome--wide significance.”
Quote in the paperSubstantial claim - Findingown data
Schizophrenia genes are significantly less constrained than developmental delay/intellectual disability-associated genes.
“they are significantly less constrained than DD/ID-associated genes (M-W U test; P = 3.5 × 10−5).”
Quote in the paperSubstantial claim - Findingown data
Joint analysis with genetic data from developmental delay/intellectual disability and autism spectrum disorder consortia provided evidence for shared genes between neuropsychiatric and broader neurodevelopmental disorders.
“Joint analysis with genetic data from DD/ID and ASD consortia have provided evidence for shared genes between neuropsychiatric and broader neurodevelopmental disorders.”
Quote in the paperSubstantial claim - Findingown data
Developmental delay/intellectual disability probands have 0.111 extra de novo protein-truncating mutations in constrained genes (95% CI 0.103-0.119).
“DD/ID probands have 0.111 (0.103 – 0.119 95% CI) extra de novo PTV mutations in constrained genes”
Quote in the paperNot a substantial claim - Findingown data
In the SynGO synaptic ontology, URVs show consistent enrichment for postsynaptic components and processes (GO:0098794; P=3.9e-6).
“Because of the clear synaptic signal, we investigated in the refined synaptic ontology defined by the SynGO consortium32, and found consistent enrichment for postsynaptic components and processes (GO:0098794; P = 3.9 × 10−6; Table S7).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] Zeisel, A. et al. Molecular architecture of the mouse nervous system. Cell 174, 999–1014 (2018). source
Not checked in the free run.
- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
- Findingown data
Seven of the 32 FDR < 5% genes are also associated with developmental delay/intellectual disability.
“seven of the 32 FDR < 5% genes are also associated with DD/ID”
Quote in the paperNot a substantial claim - Findingown data
In 2,304 trios, cases had 0.0121 extra de novo protein-truncating mutations in constrained genes compared with controls (95% CI 0.0022-0.02; 26%).
“and 0.0121 (0.0022 – 0.02 95% CI; or 26%) extra de novo PTV mutations in constrained genes were identified in cases compared to controls.”
Quote in the paperSubstantial claim - Findingown data
Schizophrenia genes as a group did not show pre- or postnatal bias in brain expression.
“schizophrenia genes as a group did not show pre- or postnatal bias in brain expression (P = 0.21; Figure S21)”
Quote in the paperSubstantial claim - Findingown data
URVs are significantly enriched in 33 gene sets (P<2.9e-5), including postsynaptic density, chromatin modification, ion transmembrane transport regulation, axon guidance, voltage-gated cation channel activity, and synaptic transmission.
“We observed significant enrichment of URVs in 33 gene sets (P < 2.9 × 10−5) that recapitulated consistent and overlapping cellular compartments and biological processes, including definitions of the postsynaptic density (human cortex biopsy post-synaptic density; P = 1.2 × 10−12), chromatin modification (GO:0016568; P = 1.8 × 10−12), regulation of ion transmembrane transport (GO:0034765; P = 6.7×”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
- Findingown data
Three of the ten schizophrenia risk genes (TRIO, GRIN2A, and CACNA1G) were associated with severe developmental delay/intellectual disability exclusively through de novo missense mutations that cluster within each gene.
“three of the ten risk genes for schizophrenia (TRIO, GRIN2A, and CACNA1G) were associated with risk of severe DD/IDs exclusively through de novo missense mutations that cluster within each gene (Figure 5B; Table S13)”
Quote in the paperSubstantial claim - Findingown data
For these three genes, the schizophrenia signal was largely driven by protein-truncating variants.
“while the schizophrenia signal was largely driven by PTVs.”
Quote in the paperNot a substantial claim - Findingown data
Schizophrenia genes at FDR < 5% were under substantial genic constraint compared to expectation.
“While schizophrenia genes (FDR < 5%) were under substantial genic constraint compared to expectation (Figure S20; M-W U test; P = 2.9 × 10−7; Supplementary Methods)”
Quote in the paperNot a substantial claim - Findingown data
Genome-wide analyses recapitulated known biological processes.
“Genome-wide analyses recapitulated known biological processes”
Quote in the paperNot a substantial claim - Findingown data
Autism spectrum disorder individuals have 0.0478 extra de novo protein-truncating mutations (95% CI 0.0387-0.0568).
“ASD individuals have 0.0478 (0.0387 – 0.0568 95% CI) extra de novo PTV mutations”
Quote in the paperNot a substantial claim - Findingown data
In the ten schizophrenia-associated genes, seven de novo mutations and thirteen transmitted variants were observed in 2,304 trios.
“In the ten schizophrenia-associated genes, 7 de novo mutations and 13 transmitted variants are observed in 2,304 trios”
Quote in the paperSubstantial claim - Findingown data
Developmental delay/intellectual disability-associated genes were overwhelmingly prenatal in expression.
“while DD/ID-associated genes were overwhelmingly prenatal in expression (P = 7.5 × 10−20).”
Quote in the paperSubstantial claim - Findingown data
Six additional FDR < 5% genes (STAG1, ASH1L, ZMYM2, KDM6B, SRRM2, and HIST1H1E) were significantly associated with developmental delay/intellectual disability in addition to schizophrenia.
“we found that six genes (STAG1, ASH1L, ZMYM2, KDM6B, SRRM2, and HIST1H1E) were significantly associated with DD/ID in addition to schizophrenia (Figure 5B; Table S13).”
Quote in the paperNot a substantial claim - Interpretationown data
Associations of GRIN2A and GRIA3 with schizophrenia support glutamatergic system dysfunction as a mechanistic hypothesis for pathogenesis.
“The associations of NMDA receptor subunit GRIN2A and AMPA receptor subunit GRIA3 provide support for the dysfunction of the glutamatergic system as a mechanistic hypothesis in the pathogenesis of schizophrenia.”
Quote in the paperSubstantial claim - Interpretationown data
Common and rare genetic risk factors at least partially converge on the same underlying pathogenic biological processes.
“suggesting that common and rare genetic risk factors at least partially converge on the same underlying pathogenic biological processes.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Trubetskoy, V. et al. Mapping genomic loci implicates genes and synaptic biology in schizophrenia. Nature https://doi.org/10.1038/s41586-022-04434-5 (2022). source
Not checked in the free run.
- Study design and conductown data
The expected null distribution of P values was observed in gene-based tests of synonymous variants in each stratum and in the meta-analysis, supporting robustness.
“To ensure the robustness of the results generated by this approach, we observed the expected null distribution of P values in gene-based tests of synonymous variants in each strata and in the meta-analysis”
Quote in the paperSubstantial claim - Premisereasoning
Rare variants with large individual effects contribute little to overall population heritability because they are rare.
“Although the variants we have been able to implicate have large effects on risk in the individual, because they are rare they make only a small contribution to overall heritability in the population.”
Quote in the paperNot a substantial claim - Premisecitation
PTVs are among the most interpretable associations because their effect on disease usually tracks with decreased gene expression.
“Protein-truncating variants (PTVs) are among the most interpretable associations as they suggest that the effect on disease most commonly tracks with decreasing expression of the gene18.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [18] Fromer, M. et al. De novo mutations in schizophrenia implicate synaptic networks. Nature 506, 179–184 (2014). source
Not checked in the free run.
- Premisecitation
Natural selection tends to keep large-effect risk variants at lower frequencies, especially in disorders with reduced fecundity such as schizophrenia.
“Theory predicts that the forces of natural selection will tend to keep large effect risk variants at much lower frequencies in the population, especially in disorders such as schizophrenia that are associated with reduced fecundity16.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Lee, S., Abecasis, G. R., Boehnke, M. & Lin, X. Rare-variant association analysis: study designs and statistical tests. Am. J. Hum. Genet. 95, 5–23 (2014). source
Not checked in the free run.
- Study design and conductreasoning
Analysis was restricted to coding exons with high-quality data across major exome capture technologies to reduce coverage-related artifacts.
“Importantly, we restricted our analysis to coding exons with high-quality data across all major exome capture technologies, reducing any artifacts that may arise from coverage differences”
Quote in the paperSubstantial claim - Study design and conductown data
No inflation of synonymous P values was observed using the Mantel-Haenszel test even for genes with larger allele counts.
“Additionally, we observed no inflation of synonymous P values using the Mantel-Haenszel test even after limiting our analysis to genes with larger total numbers of alleles”
Quote in the paperSubstantial claim - Interpretationreasoning
Rare gene-disrupting mutations may have much larger effects on individual risk (OR 2-60).
“This suggests a role for rare gene-disrupting mutations with much larger effects on individual risk (OR 2 – 60).”
Quote in the paperSubstantial claim - Interpretationown data
Identification of individual genes supports more specific mechanistic hypotheses for schizophrenia pathogenesis.
“The identification of individual genes provides support for more specific mechanistic hypotheses underlying schizophrenia pathogenesis.”
Quote in the paperSubstantial claim - Study design and conductnone given
All gnomAD and SCHEMA samples were re-processed and jointly called with the same pipeline and variant filters to obtain high-quality calls.
“All samples in gnomAD and SCHEMA consortia were re-processed and joint called using the same pipeline, and the same variant filters were applied to arrive high-quality calls.”
Quote in the paperSubstantial claim - Interpretationown data
This finding suggests that approximately 5.7% of cases carried a protein-truncating variant relevant to disease risk.
“suggesting ~5.7% of cases carried a PTV relevant to disease risk.”
Quote in the paperSubstantial claim - Interpretationreasoning
This suggests an alternate or gain-of-function effect.
“suggesting an alternate or gain-of-function effect.”
Quote in the paperNot a substantial claim - Interpretationown data
The SETD1A de novo PTV finding supports the earlier report that SETD1A is associated with both schizophrenia and broader neurodevelopmental disorders.
“supporting an earlier report that described SETD1A as a gene associated with both schizophrenia and broader neurodevelopmental disorders21.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [21] Howrigan, D. P. et al. Exome sequencing in schizophrenia-affected parent–offspring trios reveals risk conferred by protein-coding de novo mutations. Nat. Neurosci. 23, 185–193 (2020). source
Not checked in the free run.
- Interpretationnone given
A natural dose-response curve occurs at GRIN2A, in which common regulatory variants modestly influence disease risk and protein-truncating and predicted damaging missense variants increase risk more substantially.
“A natural dose-response curve occurs at this gene in which common regulatory variants modestly influence disease risk and PTV and predicted damaging missense variants increase risk more substantially.”
Quote in the paperNot a substantial claim - Interpretationown data
This finding reaffirms the genetic heterogeneity underlying schizophrenia risk.
“reaffirming the genetic heterogeneity underlying schizophrenia risk”
Quote in the paperSubstantial claim - Interpretationown data
These results suggest that exome sequencing identifies some common, shared underlying biology that is dysregulated across the allele frequency spectrum, rather than syndromic forms of disease with unrelated biology regulated by common variation.
“Combined, these results suggest that exome sequencing identifies some common, shared underlying biology that is dysregulated across the allele frequency spectrum, rather than syndromic forms of disease with unrelated biology regulated by common variation.”
Quote in the paperSubstantial claim - Premisecitation
De novo mutations in GRIN2B are associated with more severe neurodevelopmental disorders that manifest in childhood, including intellectual disability and autism.
“De novo mutations in GRIN2B conversely are associated with more severe disorders of neurodevelopment that manifest in childhood, including intellectual disability and autism42.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42]
Not checked in the free run.
- Premisecitation
The largest schizophrenia GWAS identified common variant associations at 270 distinct loci from 69,369 cases and 236,642 controls.
“To evaluate the overlap of schizophrenia associations from common variants and ultra-rare coding variant analyses, we jointly analyzed our results with the largest GWAS of schizophrenia to date, which identified common variant associations at 270 distinct loci from the analysis of 69,369 cases and 236,642 controls13.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Loh, P.-R. et al. Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis. Nat. Genet. 47, 1385–1392 (2015). source
Not checked in the free run.
- Interpretationown data
The majority of schizophrenia risk genes in which rare variants confer risk remain to be discovered.
“suggesting that the majority of schizophrenia risk genes in which rare variants confer risk remain to be discovered.”
Quote in the paperSubstantial claim - Interpretationown data
Global pathway observations are consistent with known functions of the individual risk genes implicated by rare variation.
“These global observations are consistent with the known functions of the individual risk genes now implicated by rare variation (Supplementary Note).”
Quote in the paperNot a substantial claim - Interpretationown data
Some schizophrenia rare variant risk appears shared with other neurodevelopmental disorders.
“Thus, some schizophrenia rare variant risk appears to be shared with other neurodevelopmental disorders.”
Quote in the paperSubstantial claim - Interpretationown data
Global analysis of ultra-rare protein-coding variation independently recapitulates known schizophrenia biology, including processes, cellular components, and tissues previously implicated by common variant analyses.
“Thus, at a high level, global analysis of ultra-rare protein-coding variation independently recapitulated known biology related to schizophrenia pathogenesis, including processes, cellular components, and tissues previously implicated by common variant analyses.”
Quote in the paperSubstantial claim - Interpretationreasoning
The shared genes suggest that there is at least some contribution from early brain developmental processes that predisposes to schizophrenia.
“The shared genes suggest that there is at least some contribution from early brain developmental processes that predisposes to schizophrenia.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Because of this sharing, coding variants can help refine and fine-map common variant associations such as those at the STAG1 and FAM120A loci.
“because of this sharing, coding variants can help refine and fine-map common variant associations like at the STAG1 and FAM120A loci.”
Quote in the paperSubstantial claim - Interpretationown data
The majority of the schizophrenia associations reported in this study appear to have little or no role in developmental delay/intellectual disability, despite the large power of published DD/ID studies.
“the majority of schizophrenia associations reported here appear to have little or no role in DD/ID despite the enormous power of published DD/ID studies to date.”
Quote in the paperSubstantial claim- Rests on an assumption: The 31,058 developmental delay/intellectual disability trios provide sufficient power to evaluate the individual schizophrenia risk genes from this study for a role in broader neurodevelopmental disorders.
- Interpretationown data
The association of protein-truncating variants in the NMDA receptor subunit GRIN2A with schizophrenia risk provides genetic support for dysregulation of glutamatergic signaling as a possible disease mechanism.
“The association of PTVs in the NMDA receptor subunit GRIN2A to schizophrenia risk provides genetic support for the dysregulation of glutamatergic signaling as a possible mechanism of disease.”
Quote in the paperSubstantial claim
- May combine two claims. 40
- Classified as probably not a substantial claim. 20
- Not yet classified. 1
May combine two claims.
Findingown dataMeta-analysis of exomes from 24,248 schizophrenia cases and 97,322 controls identified ultra-rare coding variants in ten genes associated with substantial schizophrenia risk (OR 3-50, P<2.14e-6) and 32 genes at FDR<5%.
“By meta-analyzing the whole-exomes of 24,248 cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in ten genes as conferring substantial risk for schizophrenia (odds ratios 3 – 50, P < 2.14 × 10−6), and 32 genes at a FDR < 5%.”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
May combine two claims.
Findingown dataRare variant risk overlaps between schizophrenia, ASD, epilepsy, and severe neurodevelopmental disorders, although in some shared genes different mutation types are implicated.
“We observe an overlap of rare variant risk between schizophrenia, autism spectrum disorders (ASD)1, epilepsy and severe neurodevelopmental disorders (DD/ID)2, though in some shared genes different mutation types are implicated.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [1] Satterstrom, F. K. et al. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism. Cell 180, 568–584 (2020). source
Not checked in the free run.
- cites [2] Kaplanis, J. et al. Evidence for 28 genetic disorders discovered by combining healthcare and research data. Nature 586, 757–762 (2020). source
Not checked in the free run.
May combine two claims.
Findingown dataThe implicated genes show highest expression in central nervous system neurons and have diverse molecular functions including synapse formation, structure, and function.
“These genes have the greatest expression in central nervous system neurons and have diverse molecular functions that include the formation, structure, and function of the synapse.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMissense variants with MPC>3 have a global signal comparable to PTVs in schizophrenia, ASD, and severe neurodevelopmental disorders, whereas MPC 2-3 variants have a significant but weaker signal and were analyzed separately.
“We found that missense variants with MPC > 3 have a global signal on par with PTVs in schizophrenia, autism spectrum disorders, and severe neurodevelopmental disorders, while variants with MPC 2 – 3 has a significant but weaker signal than PTVs and were therefore analyzed separately”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationAll ten implicated genes are among the most constrained in the genome, showing substantial depletion of PTVs compared to chance expectation.
“As expected, all ten genes are among the most constrained genes in the genome, with a substantial depletion of PTVs compared to chance expectation24.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Lek, M. et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature 536, 285–291 (2016). source
Not checked in the free run.
May combine two claims.
Findingown dataURVs in the implicated genes confer substantial risk, with odds ratios for PTVs and Class I variants ranging from 3 to 50, though confidence intervals are wide.
“Although confidence intervals are wide, URVs in these genes appear to confer substantial risk, with odds ratio of PTVs and Class I variants ranging from 3 to 50.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDe novo mutations are enriched in the 244 genes with case-control P<0.01, with limited or no signal in remaining genes.
“Using Poisson rate tests based on expected mutation rate27, we found these de novo mutations are enriched for the 244 genes with P < 0.01 in our case-control analysis (Figure S13, Table S5), with limited or no signal in the remaining genes in the genome (Figure 1D).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [27] Hu, W., MacDonald, M. L., Elswick, D. E. & Sweet, R. A. The glutamate hypothesis of schizophrenia: evidence from human brain tissue studies. Ann. NY Acad. Sci. 1338, 38–57 (2015). source
Not checked in the free run.
May combine two claims.
Findingown dataSchizophrenia cases show significant excess of URVs compared to controls in 299 DD/ID-associated genes (Pmeta=1.5e-14; ORClass I=1.44, 95% CI 1.3-1.6) and in 102 ASD-associated genes (Pmeta=3.7e-7; ORClass I=1.45, 95% CI 1.23-1.72).
“We found a significant excess of URVs in schizophrenia cases compared to controls in the 299 DD/ID-associated genes (Pmeta = 1.5 × 10−14; ORClass I = 1.44, 1.3 – 1.6 95% CI), and in the 102 ASD-associated genes (Pmeta = 3.7 × 10−7; ORClass I = 1.45, 1.23 – 1.72 95% CI; Figure 5A; Table S12).”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
May combine two claims.
Findingown dataThis study shows for the first time that common regulatory variants from GWAS and ultra-rare coding variants disrupt an overlapping set of genes, including an allelic series in four genes in which common and rare coding variants increase risk to varying degrees.
“We show for the first time that common regulatory variants from GWAS and ultra-rare coding variants disrupt an overlapping set of genes, including an allelic series in four genes in which common variants and rare coding variants increase risk to varying degrees.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNine of the ten schizophrenia risk genes showed limited de novo protein-truncating variant signal in developmental delay/intellectual disability, with a combined eight de novo PTVs observed in these genes (expected 4.98; Poisson P = 0.13).
“Nine of the ten schizophrenia genes showed limited de novo PTV signal in DD/ID, with a combined 8 de novo PTVs observed in these genes (Xexp = 4.98; PPois = 0.13; Figure 5B; Table S13).”
Quote in the paperSubstantial claim- Rests on an assumption: The 31,058 developmental delay/intellectual disability trios provide sufficient power to evaluate the individual schizophrenia risk genes from this study for a role in broader neurodevelopmental disorders.
May combine two claims.
Findingown dataSchizophrenia risk genes are involved in the postsynaptic density and broader synaptic function.
“reaffirm that schizophrenia risk genes are involved in the postsynaptic density and broader synaptic function”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataProtein-truncating variants show consistent signals across the different SCHEMA cohorts, and synonymous variants do not deviate from expectation.
“PTVs show consistent signals across the different cohorts, and synonymous variants do not deviate from expectation.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIndividual genes such as SETD1A, TRIO, and SP4 exhibited prenatal expression, while GRIN2A and GRIA3 showed postnatal expression.
“individual genes like SETD1A, TRIO, and SP4 exhibited prenatal expression while GRIN2A and GRIA3 showed postnatal expression (Figure S22).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataProtein-truncating variants in 9 of the 10 most confidently associated genes are associated with schizophrenia and not with developmental delay/intellectual disability.
“PTVs in 9 of the 10 most confidently associated genes are associated with schizophrenia and not for DD/ID”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDe novo missense mutations in GRIN2A cluster at the base of the ion channel, with the most mutations in the exon encoding the pore of the complex.
“de novo missense mutations in GRIN2A cluster at the base of the ion channel with the most mutations in the exon encoding for the pore of the complex (Figure 5D).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFAM120A and STAG1 reside in complex GWAS-associated regions with multiple genes but were prioritized among their neighbors at FDR<5% in the sequencing study.
“Furthermore, FAM120A and STAG1 resided in more complex GWAS-associated regions containing multiple genes but were prioritized among their neighbors as FDR < 5% in our sequencing study (Figure 4C, 4D).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFine-mapping prioritized likely underlying protein-coding genes at 64 GWAS associations, and URVs are enriched in these genes in cases versus controls (Pmeta=3.9e-4; ORClass I=1.46, 95% CI 1.2-1.77).
“Statistical fine-mapping prioritized the likely underlying protein-coding gene at 64 of these associations (Table S11, Figure S18), and we found a case-control enrichment of URVs in these genes (Pmeta = 3.9 × 10−4; ORClass I = 1.46, 1.2 – 1.77 95% CI; Figure 4A, Table S12).”
Quote in the paperSubstantial claim- Rests on an assumption: The population controls used in the case-control analysis are assumed to be free of schizophrenia.
May combine two claims.
Findingown dataAllelic series are observed in GRIN2A, TRIO, and CACNA1G, in which protein-truncating variants increase schizophrenia risk and de novo missense mutations confer strong developmental delay/intellectual disability risk.
“we observe allelic series in GRIN2A, TRIO, and CACNA1G in which PTVs increase schizophrenia risk and de novo missense mutations confer strong DD/ID risk.”
Quote in the paperSubstantial claimMay combine two claims.
FindingreasoningDe novo missense mutations in these genes clustered in specific domains and are associated with more severe neurodevelopmental, syndromic disorders with cognitive impairment.
“De novo missense mutations in these genes clustered in specific domains and are associated with more severe neurodevelopmental, syndromic disorders with cognitive impairment”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGRIN2A and SP4, two of the ten significant rare variant genes, have clear associations in schizophrenia GWAS.
“Beyond the statistical enrichment, GRIN2A and SP4, two of the ten significant rare variant genes, had clear associations in schizophrenia GWAS (Figure 3A, Figure 4B).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGenes with highest specific expression in brain regions show strongest enrichment of risk URVs, most significantly in human frontal cortex (P=1.63e-8), with limited signal in other tissues.
“Following earlier reports studying heritability enrichment in GTEx tissues8,31, we found that genes with the highest specific expression in brain regions showed the strongest enrichment of risk URVs, most significantly in the human frontal cortex (P = 1.63 × 10−8) and with limited signal in the other tissue types (Extended Data Figure 4, Table S8, S9).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [8] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). source
Not checked in the free run.
- cites [31] Koopmans, F. et al. SynGO: an evidence-based, expert-curated knowledge base for the synapse. Neuron 103, 217–234 (2019). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningMore risk genes await discovery using this approach.
“implying that more risk genes await discovery using this approach.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationEarlier sequencing studies established that ultra-rare and de novo mutations contribute to schizophrenia risk and found enrichment in neuronal genes and synaptic processes.
“Earlier schizophrenia sequencing studies have established that ultra-rare and de novo mutations contribute to risk as a category, and have prioritized disease-relevant tissues and processes, specifically observing an enrichment in neuronal genes and synaptic processes9,11,19–23.”
Quote in the paperNot a substantial claim0 of 7 sources checked- cites [9] Genovese, G. et al. Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia. Nat. Neurosci. 19, 1433–1441 (2016). source
Not checked in the free run.
- cites [11] Singh, T. et al. The contribution of rare variants to risk of schizophrenia in individuals with and without intellectual disability. Nat. Genet. 49, 1167–1173 (2017). source
Not checked in the free run.
- cites [19] Purcell, S. M. et al. A polygenic burden of rare disruptive mutations in schizophrenia. Nature 506, 185–190 (2014). source
Not checked in the free run.
- cites [20] Singh, T. et al. Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders. Nat. Neurosci. 19, 571–577 (2016). source
Not checked in the free run.
- cites [21] Howrigan, D. P. et al. Exome sequencing in schizophrenia-affected parent–offspring trios reveals risk conferred by protein-coding de novo mutations. Nat. Neurosci. 23, 185–193 (2020). source
Not checked in the free run.
- cites [22] Gulsuner, S. et al. Genetics of schizophrenia in the South African Xhosa. Science 367, 569–573 (2020). source
Not checked in the free run.
- cites [23] Karczewski, K. J. et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 581, 434–443 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSeveral rare recurrent CNVs are robustly associated with schizophrenia, e.g., higher rates in 22q11.2 deletion carriers.
“Several rare (MAF < 0.1%) recurrent copy number variants (CNVs) have also been robustly associated with schizophrenia, as exemplified by the dramatically higher rates of schizophrenia in 22q11.2 deletion carriers10,15.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [10] Marshall, C. R. et al. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat. Genet. 49, 27–35 (2017). source
Not checked in the free run.
- cites [15] Zuk, O. et al. Searching for missing heritability: designing rare variant association studies. Proc. Natl Acad. Sci. USA 111, E455–E464 (2014).
Not checked in the free run.
May combine two claims.
PremisecitationSchizophrenia risk alleles are concentrated in genes nearly depleted of PTVs in population studies, as in other neurodevelopmental disorders, suggesting strong selection against such mutations.
“Furthermore, these risk alleles are concentrated in genes with a near-complete depletion of protein-truncating variants in population studies, a result shared with other neurodevelopmental disorders9,11 and suggesting strong direct selection against such mutations.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Genovese, G. et al. Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia. Nat. Neurosci. 19, 1433–1441 (2016). source
Not checked in the free run.
- cites [11] Singh, T. et al. The contribution of rare variants to risk of schizophrenia in individuals with and without intellectual disability. Nat. Genet. 49, 1167–1173 (2017). source
Not checked in the free run.
May combine two claims.
PremisereasoningBecause schizophrenia GWAS causal variants are predominantly non-coding, fine-mapping and interpretation challenges limit confident identification of underlying genes, mechanisms, and direction of effect.
“Because causal variants in schizophrenia GWAS are predominantly non-coding, challenges related to fine-mapping and interpretation of intergenic and intronic elements limit our ability to confidently identify underlying genes, infer the mechanism by which they influence disease risk, and determine the direction of effect.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductown dataQuality control steps were performed to ensure high-quality sequence data, exclude contaminated samples, identify related individuals, and infer ancestries.
“After extracting SCHEMA samples from this callset, we performed quality control steps to ensure high quality of sequence data, exclude contaminated samples, identify parent-proband trios and other related individuals, and infer global ancestries”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningIncreased scale following this approach will uncover additional risk genes and help complete the genetic architecture of schizophrenia.
“Finally, we demonstrate that increased scale following this approach will uncover additional risk genes and help complete the genetic architecture of schizophrenia.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPathway analyses of common variants have prioritized disease-relevant tissues and cell types and sometimes recapitulated known biology.
“Pathway analyses of common variants have prioritized disease-relevant tissues and cell types, and in some cases, independently recapitulating known biology8,30,31.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [8] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). source
Not checked in the free run.
- cites [30] Finucane, H. K. et al. Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types. Nat. Genet. 50, 621–629 (2018). source
Not checked in the free run.
- cites [31] Koopmans, F. et al. SynGO: an evidence-based, expert-curated knowledge base for the synapse. Neuron 103, 217–234 (2019). source
Not checked in the free run.
May combine two claims.
Study design and conductreasoningTechnical and methodological batch effects were controlled in variant calling and via permutation testing.
“We attempted to control for technical and methodological batch effects that may arise from this approach in both variant calling and additionally via permutation testing described below.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
PremisecitationThe most natural grouping for rare variants is within a gene based on predicted functional consequence or deleteriousness.
“The most natural grouping for rare variants is within a gene, based on predicted functional consequence or evidence for deleteriousness16,17.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [16] Lee, S., Abecasis, G. R., Boehnke, M. & Lin, X. Rare-variant association analysis: study designs and statistical tests. Am. J. Hum. Genet. 95, 5–23 (2014). source
Not checked in the free run.
- cites [17] Rivas, M. A. et al. Effect of predicted protein-truncating genetic variants on the human transcriptome. Science 348, 666–669 (2015). source
Not checked in the free run.
- Rests on an assumption: Most rare variants have little or no functional consequence or impact on risk.
Classified as probably not a substantial claim.
PremisecitationThe glutamatergic hypothesis postulates that hypofunction of NMDA receptor signaling is a possible mechanism of schizophrenia.
“Developed from neuropharmacological and neuropathological observations, the glutamatergic hypothesis postulates that the hypofunction of glutamatergic signaling through NMDA receptors is a possible mechanism of disease28 (Supplementary Note).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] Kang, H. J. et al. Spatio-temporal transcriptome of the human brain. Nature 478, 483–489 (2011). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationown dataMore genes remain to be discovered.
“suggesting that more genes remain to be discovered (Figure 2B).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationSchizophrenia GWAS identified a common variant at GRIN2A (OR=1.057, P=1.57e-10), providing an allelic series where different perturbation of gene function results in severity of disease risk.
“Schizophrenia GWAS also identified a common variant at GRIN2A (OR = 1.057, P = 1.57 × 10−10), providing an allelic series in which different perturbation of gene function results in severity of disease risk (Figure 3A)8.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [8] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationGWAS have identified 270 common risk loci for schizophrenia with individually small effect (median OR <1.05).
“This has been borne out by genome-wide association studies (GWAS) which have now, in a companion paper, identified 270 common (minor allele frequency [MAF] > 1%) risk loci of individually small effect (median odds ratio [OR] < 1.05)13.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Loh, P.-R. et al. Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis. Nat. Genet. 47, 1385–1392 (2015). source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationSchizophrenia has a substantial genetic component with contributions across the allele frequency spectrum.
“It is well-established that schizophrenia has a substantial genetic component with contributions from across the allele frequency spectrum8–11.”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [8] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). source
Not checked in the free run.
- cites [9] Genovese, G. et al. Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia. Nat. Neurosci. 19, 1433–1441 (2016). source
Not checked in the free run.
- cites [10] Marshall, C. R. et al. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat. Genet. 49, 27–35 (2017). source
Not checked in the free run.
- cites [11] Singh, T. et al. The contribution of rare variants to risk of schizophrenia in individuals with and without intellectual disability. Nat. Genet. 49, 1167–1173 (2017). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductnone givenSite- and genotype-level filters were applied to generate a robust set of coding SNPs and indels for a well-matched case-control analysis.
“We subsequently applied site- and genotype-level filters to generate a robust set of coding SNPs and indels for a well-matched case-control analysis”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationURV analysis has had limited success in individual gene discovery for schizophrenia due to power limitations, with only SETD1A robustly associated.
“However, the analysis of URVs has had limited success in delivering individual gene discovery in schizophrenia because of power limitations, with only a single gene, SETD1A, identified as robustly associated16,21.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [16] Lee, S., Abecasis, G. R., Boehnke, M. & Lin, X. Rare-variant association analysis: study designs and statistical tests. Am. J. Hum. Genet. 95, 5–23 (2014). source
Not checked in the free run.
- cites [21] Howrigan, D. P. et al. Exome sequencing in schizophrenia-affected parent–offspring trios reveals risk conferred by protein-coding de novo mutations. Nat. Neurosci. 23, 185–193 (2020). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThis enrichment provides additional reassurance of robustness of case-control gene results.
“which provides additional reassurance of the robustness of our case-control gene results.”
Quote in the paperNot a substantial claimNot yet classified.
PremiseLarge-effect CNVs often disrupt many genes simultaneously, limiting functional insights.
“CNVs of large effect, on the other hand, often disrupt hundreds of kilobases of the genome and multiple genes simultaneously, limiting our ability to derive clear functional insights10.”
Quote in the paperNot yet classified0 of 1 sources checked- cites [10] Marshall, C. R. et al. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat. Genet. 49, 27–35 (2017). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductreasoningSamples were jointly re-processed and variant-called with a standardized pipeline to ensure calibrated analyses.
“To ensure calibrated analyses, these samples were included in joint re-processing and variant calling using a standardized BWA-Picard-GATK pipeline as part of the larger Genome Aggregation Database (gnomAD) effort”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationNMDA receptor composition changes during neurodevelopment, with GRIN2A predominantly expressed in late childhood and adolescence, matching schizophrenia age-of-onset.
“The NMDA receptor changes in composition during prenatal to postnatal neurodevelopment with GRIN2A predominantly expressed during late childhood and adolescence, recapitulating expected epidemiological observations on schizophrenia age-of-onset (Supplementary Methods, Figure 3B)29.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Network and Pathway Analysis Subgroup of the Psychiatric Genetics Consortium. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways. Nat. Neurosci. 18, 199–209 (2015). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCommon variants explain about 24% of variance in schizophrenia liability.
“As a class of variation, common variants explain ~24% of the variance in disease liability14.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] Karayiorgou, M. et al. Schizophrenia susceptibility associated with interstitial deletions of chromosome 22q11. Proc. Natl Acad. Sci. USA 92, 7612–7616 (1995). source
Not checked in the free run.
May combine two claims.
Interpretationown dataThis suggests that 0.86% of patients are carriers and that approximately 35% of variants are de novo.
“suggesting that 0.86% of patients are carriers and ~35% of variants are de novo.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationBecause schizophrenia is under strong selection, ultra-rare variants of large effect are expected to be frequently de novo or of very recent origin and to contribute to risk in only a fraction of diagnosed patients.
“Because schizophrenia as a trait is under strong selection39–41, we expect that URVs of large effect to be frequently de novo or of very recent origin and contribute to risk in only a fraction of diagnosed patients.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [39] Power, R. A. et al. Fecundity of patients with schizophrenia, autism, bipolar disorder, depression, anorexia nervosa, or substance abuse vs their unaffected siblings. Arch. Gen. Psychiat. 70, 22–30 (2013).
Not checked in the free run.
- cites [40] Endele, S. et al. Mutations in GRIN2A and GRIN2B encoding regulatory subunits of NMDA receptors cause variable neurodevelopmental phenotypes. Nat. Genet. 42, 1021–1026 (2010). source
Not checked in the free run.
- cites [41] Finn, R. D. et al. Pfam: the protein families database. Nucleic Acids Res. 42, D222–D230 (2014). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe vast majority of risk alleles, their direction and magnitude of effect, mode of action, and responsible genes are yet to be discovered.
“The vast majority of risk alleles, their direction and magnitude of effect, mode of action, and responsible genes are yet to be discovered.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataResults suggest at least partial convergence in genes and biological processes implicated by common and ultra-rare genetic variation, and that ultra-rare coding variants can prioritize genes within GWAS loci.
“Combined, these results suggest there is at least partial convergence in the genes and biological processes implicated by common and ultra-rare genetic variation, and that ultra-rare coding variants can be leveraged to prioritize genes within GWAS loci.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Interpretationown dataThese observations raise the possibility that certain properties may differentiate genes for adult psychiatric disorders from those for more severe developmental delay/intellectual disability.
“These observations offer the possibility that certain properties may differentiate genes for adult psychiatric disorders and more severe DD/IDs.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThese observations suggest that schizophrenia and childhood-onset neurodevelopmental disorders share some genes and biological processes, but that in at least some cases the severity or nature of the functional impairment differs between the disorders.
“These observations suggest schizophrenia and childhood onset neurodevelopmental disorders share some genes and biological processes, but that at least in some cases, the severity or the nature of the functional impairment differs between disorders.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationExome sequencing studies of ASD and severe neurodevelopmental disorders have identified risk genes, with genetic signals concentrated in constrained genes and shared between the two disorders.
“These studies have established that the genetic signals were concentrated in constrained genes and shared between the two disorders35,36.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [35] The Deciphering Developmental Disorders Study. Large-scale discovery of novel genetic causes of developmental disorders. Nature 519, 223–228 (2015). source
Not checked in the free run.
- cites [36] Barbosa, S. et al. Opposite modulation of RAC1 by mutations in TRIO is associated with distinct, domain-specific neurodevelopmental disorders. Am. J. Hum. Genet. 106, 338–355 (2020). source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationRecent analyses implicated 299 genes from 31,058 DD/ID trios and 102 genes at FDR<10% from 11,986 ASD cases.
“Most recently, the analysis of de novo mutations from 31,058 DD/ID trios implicated 299 genes, while the analysis of 11,986 ASD cases identified 102 genes at FDR < 10% (Table S11)1,37.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [1] Satterstrom, F. K. et al. Large-scale exome sequencing study implicates both developmental and functional changes in the neurobiology of autism. Cell 180, 568–584 (2020). source
Not checked in the free run.
- cites [37] Haukka, J., Suvisaari, J. & Lönnqvist, J. Fertility of patients with schizophrenia, their siblings, and the general population: a cohort study from 1950 to 1959 in Finland. Am. J. Psychiat. 160, 460–463 (2003). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRecent efforts have begun to generate a more comprehensive view of schizophrenia genetic architecture, comprising common variants of small effect, large copy-number variants with elevated frequencies driven by genomic instability, and ultra-rare variants of large effect implicating individual genes.
“Efforts in the past decade are beginning to generate a more comprehensive view of the genetic architecture for schizophrenia, composed of common variants of small effects, large CNVs with elevated frequencies driven by genomic instability, and now, URVs of large effect implicating individual genes (Figure 6A)8,10.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [8] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Biological insights from 108 schizophrenia-associated genetic loci. Nature 511, 421–427 (2014). source
Not checked in the free run.
- cites [10] Marshall, C. R. et al. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects. Nat. Genet. 49, 27–35 (2017). source
Not checked in the free run.
The paper relies on this without support.
The population controls used in the case-control analysis are assumed to be free of schizophrenia.
“50,437 individuals without a known psychiatric diagnosis”
The paper relies on this without support.
Most rare variants have little or no functional consequence or impact on risk.
“most rare variants will have little or no functional consequence or impact on risk”
The paper relies on this without support.
Expression patterns in mouse nervous system cell types can be generalized to human schizophrenia risk genes.
“we investigated which single cell types in the mouse nervous system show the highest specific expression for the 32 (FDR < 5%) schizophrenia risk genes”
The paper relies on this without support.
The 31,058 developmental delay/intellectual disability trios provide sufficient power to evaluate the individual schizophrenia risk genes from this study for a role in broader neurodevelopmental disorders.
“With 31,058 trios, the scale of gene discovery in severe DD/ID provided sufficient power to evaluate the individual schizophrenia risk genes associated in our study for a role in broader neurodevelopmental disorders.”
The paper relies on this without support.
The NMDA receptor is composed of two GRIN2 units (GRIN2A and/or GRIN2B) along with two constitutive GRIN1 units, and GRIN2A expression increases dramatically later in childhood and adolescence, mimicking the age of onset of schizophrenia.
“the NMDA receptor is composed of two GRIN2 units (GRIN2A and/or GRIN2B) along with two constitutive GRIN1 units, and GRIN2A increases dramatically in expression later in childhood and adolescence, mimicking the age of onset of disease for schizophrenia.”
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?
CACNA1G loss-of-function mutations are associated with schizophrenia and intellectual disability.
“The thalamus-enriched voltage-dependent calcium channel CaV3.1 encoded by the Wnt target CACNA1G is the key mediator of thalamocortical connectivity, and putative loss-of-function mutations of CACNA1G have been associated with schizophrenia and intellectual disability [65–67].”
From CI-994 is a dual modulator of class I HDACs and Wnt/β-catenin signaling for the treatment of Alzheimer's disease (2026) · cites this paper as [66]
The Discussion reports that protein-truncating variants (putative loss-of-function variants) in CACNA1G increase schizophrenia risk. It attributes the developmental-disorder and intellectual-disability risk instead to de novo missense mutations, and says the two variant types may have different functional effects. Thus the source does not support attributing both associations to loss-of-function mutations. (LLM, conf=0.90)
Experimental — accuracy not yet measuredRare variant overlaps exist in liability to schizophrenia, autism spectrum disorder, and developmental disorder.
“There are rare variant overlaps in liability to schizophrenia, autism spectrum disorder (ASD) and developmental disorder (DD)8,30,31.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [30]
Cites
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587 · see citing works
Self-citationThe mutational constraint spectrum quantified from variation in 141,456 humans
Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., et al. (2020) · Nature · doi:10.1038/s41586-020-2308-7 · Cited by 9,434 · see citing works
Self-citationBiological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577 · see citing works
Self-citationPfam: the protein families database
Finn, R. D., Bateman, A., Clements, J., Coggill, P., Eberhardt, R. Y., Eddy, S. R., Heger, A., Hetherington, K., Holm, L., Mistry, J., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1223 · Cited by 6,148 · see citing works
Krystal, J. H. (1994) · Archives of General Psychiatry · doi:10.1001/archpsyc.1994.03950030035004 · Cited by 3,330 · see citing works
Molecular Architecture of the Mouse Nervous System
Zeisel, A., Hochgerner, H., Lönnerberg, P., Johnsson, A., Memic, F., van der Zwan, J., Häring, M., Braun, E., Borm, L. E., La Manno, G., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.021 · Cited by 2,995 · see citing works
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Trubetskoy, V., Pardiñas, A. F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T. B., Bryois, J., Chen, C.-Y., Dennison, C. A., Hall, L. S., et al. (2022) · Nature · doi:10.1038/s41586-022-04434-5 · Cited by 2,964 · see citing works
Self-citationRecent advances in the phencyclidine model of schizophrenia
(1991) · American Journal of Psychiatry · doi:10.1176/ajp.148.10.1301 · Cited by 2,904 · see citing works
Synaptic, transcriptional and chromatin genes disrupted in autism
Study, T. D., De Rubeis, S., Autism, H. M. C. F., UK10K Consortium, The Autism Sequencing Consortium, He, X., Goldberg, A. P., Poultney, C. S., Samocha, K., Ercument Cicek, A., et al. (2014) · Nature · doi:10.1038/nature13772 · Cited by 2,746 · see citing works
Self-citationSystematic review and meta-analysis
Gillies, A. (2019) · CRC Press eBooks · doi:10.1201/9781315377315-19 · Cited by 2,659 · see citing works
AMPA Receptor Trafficking and Synaptic Plasticity
Malinow, R., & Malenka, R. C. (2002) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.25.112701.142758 · Cited by 2,588 · see citing works
Satterstrom, F. K., Kosmicki, J. A., Wang, J., Breen, M. S., De Rubeis, S., An, J.-Y., Peng, M., Collins, R., Grove, J., Klei, L., et al. (2020) · Cell · doi:10.1016/j.cell.2019.12.036 · Cited by 2,321 · cited 1× · see citing works
“Missense, MPC 2–3 (10) Missense, MPC > 3 (1) Missense, MPC > 3 (3)”
Self-citationSchizophrenia: A Concise Overview of Incidence, Prevalence, and Mortality
McGrath, J., Saha, S., Chant, D., & Welham, J. (2008) · Epidemiologic Reviews · doi:10.1093/epirev/mxn001 · Cited by 2,280 · see citing works
Spatio-temporal transcriptome of the human brain
Kang, H. J., Kawasawa, Y. I., Cheng, F., Zhu, Y., Xu, X., Li, M., Sousa, A. M. M., Pletikos, M., Meyer, K. A., Sedmak, G., et al. (2011) · Nature · doi:10.1038/nature10523 · Cited by 2,084 · see citing works
Self-citationDECIPHER: Database of Chromosomal Imbalance and Phenotype in Humans Using Ensembl Resources
Firth, H. V., Richards, S. M., Bevan, A. P., Clayton, S., Corpas, M., Rajan, D., Vooren, S. V., Moreau, Y., Pettett, R. M., & Carter, N. P. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.03.010 · Cited by 1,990 · see citing works
The mutational constraint spectrum quantified from variation in 141,456 humans
Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., et al. (2019) · doi:10.1101/531210 · Cited by 1,662 · see citing works
Self-citationDe novo mutations in schizophrenia implicate synaptic networks
Fromer, M., Pocklington, A. J., Kavanagh, D. H., Williams, H. J., Dwyer, S., Gormley, P., Georgieva, L., Rees, E., Palta, P., Ruderfer, D. M., et al. (2014) · Nature · doi:10.1038/nature12929 · Cited by 1,617 · see citing works
Self-citationDiscovering the Neural Basis of Human Social Anxiety: A Diagnostic and Therapeutic Imperative
Charney, D. S. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.1.1 · Cited by 1,428 · see citing works
A polygenic burden of rare disruptive mutations in schizophrenia
Purcell, S. M., Moran, J. L., Fromer, M., Ruderfer, D., Solovieff, N., Roussos, P., O’Dushlaine, C., Chambert, K., Bergen, S. E., Kähler, A., et al. (2014) · Nature · doi:10.1038/nature12975 · Cited by 1,385 · see citing works
Self-citationAntibody-Mediated Encephalitis
Dalmau, J. O., & Graus, F. (2018) · New England Journal of Medicine · doi:10.1056/nejmra1708712 · Cited by 1,339 · see citing works
Hjorthøj, C., Stürup, A. E., McGrath, J. J., & Nordentoft, M. (2017) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30078-0 · Cited by 1,304 · see citing works
Self-citationAMPA receptor trafficking at excitatory synapses
Bredt, D. S., & Nicoll, R. A. (2003) · Neuron · doi:10.1016/s0896-6273(03)00640-8 · Cited by 1,150 · see citing works
Large-scale discovery of novel genetic causes of developmental disorders
Study, T. D. D. D. (2015) · Nature · doi:10.1038/nature14135 · Cited by 1,124 · see citing works
Finucane, H. K., Reshef, Y. A., Anttila, V., Slowikowski, K., Gusev, A., Byrnes, A., Gazal, S., Loh, P.-R., Lareau, C., Shoresh, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0081-4 · Cited by 1,097 · see citing works
Self-citationContribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects
Marshall, C. R., Howrigan, D. P., Merico, D., Thiruvahindrapuram, B., Wu, W., Greer, D. S., Antaki, D., Shetty, A., Holmans, P. A., Pinto, D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3725 · Cited by 1,058 · see citing works
Self-citationRare-Variant Association Analysis: Study Designs and Statistical Tests
Lee, S., Abecasis, G. R., Boehnke, M., & Lin, X. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.06.009 · Cited by 1,042 · see citing works
Self-citationA framework for the interpretation of de novo mutation in human disease
Samocha, K. E., Robinson, E. B., Sanders, S. J., Stevens, C., Sabo, A., McGrath, L. M., Kosmicki, J. A., Rehnström, K., Mallick, S., Kirby, A., et al. (2014) · Nature Genetics · doi:10.1038/ng.3050 · Cited by 979 · see citing works
Self-citationSynGO: An Evidence-Based, Expert-Curated Knowledge Base for the Synapse
Koopmans, F., van Nierop, P., Andres-Alonso, M., Byrnes, A., Cijsouw, T., Coba, M. P., Cornelisse, L. N., Farrell, R. J., Goldschmidt, H. L., Howrigan, D. P., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.002 · Cited by 938 · see citing works
Self-citationEvidence for multiple AMPA receptor complexes in hippocampal CA1/CA2 neurons
Wenthold, R., Petralia, R., Blahos J, II, & Niedzielski, A. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-06-01982.1996 · Cited by 850 · see citing works
Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
The Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium (2015) · Nature Neuroscience · doi:10.1038/nn.3922 · Cited by 755 · see citing works
Self-citationPractice Guideline for the Treatment of Patients With Schizophrenia Second Edition
(2007) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9780890423363.45859 · Cited by 733 · see citing works
Genetic identification of brain cell types underlying schizophrenia
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Skene, N. G., Bryois, J., Bakken, T. E., Breen, G., Crowley, J. J., Gaspar, H. A., Giusti-Rodriguez, P., Hodge, R. D., Miller, J. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0129-5 · Cited by 651 · see citing works
Self-citationA polygenic theory of schizophrenia.
Gottesman, I. I., & Shields, J. (1967) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.58.1.199 · Cited by 636 · see citing works
Searching for missing heritability: Designing rare variant association studies
Zuk, O., Schaffner, S. F., Samocha, K., Do, R., Hechter, E., Kathiresan, S., Daly, M. J., Neale, B. M., Sunyaev, S. R., & Lander, E. S. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1322563111 · Cited by 635 · see citing works
Self-citationSchizophrenia susceptibility associated with interstitial deletions of chromosome 22q11.
Karayiorgou, M., Morris, M. A., Morrow, B., Shprintzen, R. J., Goldberg, R., Borrow, J., Gos, A., Nestadt, G., Wolyniec, P. S., & Lasseter, V. K. (1995) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.92.17.7612 · Cited by 628 · see citing works
Evidence for 28 genetic disorders discovered by combining healthcare and research data
Kaplanis, J., Samocha, K. E., Wiel, L., Zhang, Z., Arvai, K. J., Eberhardt, R. Y., Gallone, G., Lelieveld, S. H., Martin, H. C., McRae, J. F., et al. (2020) · Nature · doi:10.1038/s41586-020-2832-5 · Cited by 615 · see citing works
Endele, S., Rosenberger, G., Geider, K., Popp, B., Tamer, C., Stefanova, I., Milh, M., Kortüm, F., Fritsch, A., Pientka, F. K., et al. (2010) · Nature Genetics · doi:10.1038/ng.677 · Cited by 499 · see citing works
Study, S. S., Singh, T., Study, I., Study, D., UK10 K Consortium, Kurki, M. I., Curtis, D., Purcell, S. M., Crooks, L., McRae, J., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4267 · Cited by 452 · see citing works
Self-citationSchizophrenia Working Group of the Psychiatric Genomics Consortium, Loh, P.-R., Bhatia, G., Gusev, A., Finucane, H. K., Bulik-Sullivan, B. K., Pollack, S. J., de Candia, T. R., Lee, S. H., Wray, N. R., et al. (2015) · Nature Genetics · doi:10.1038/ng.3431 · Cited by 449 · see citing works
Self-citationIncreased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia
Genovese, G., Fromer, M., Stahl, E. A., Ruderfer, D. M., Chambert, K., Landén, M., Moran, J. L., Purcell, S. M., Sklar, P., Sullivan, P. F., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4402 · Cited by 444 · see citing works
Self-citationGRIN2A mutations cause epilepsy-aphasia spectrum disorders
Carvill, G. L., Regan, B. M., Yendle, S. C., O’Roak, B. J., Lozovaya, N., Bruneau, N., Burnashev, N., Khan, A., Cook, J., Geraghty, E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2727 · Cited by 375 · see citing works
Mapping genomic loci prioritises genes and implicates synaptic biology in schizophreniaPreprint
Ripke, S., Walters, J., & O'Donovan, M. (2020) · medRxiv · doi:10.1101/2020.09.12.20192922 · Cited by 365 · see citing works
Self-citationRegional missense constraint improves variant deleteriousness prediction
Samocha, K. E., Kosmicki, J. A., Karczewski, K. J., O’Donnell-Luria, A. H., Pierce-Hoffman, E., MacArthur, D. G., Neale, B. M., & Daly, M. J. (2017) · doi:10.1101/148353 · Cited by 351 · see citing works
Self-citationPower, R. A., Kyaga, S., Uher, R., MacCabe, J. H., Långström, N., Landen, M., McGuffin, P., Lewis, C. M., Lichtenstein, P., & Svensson, A. C. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.268 · Cited by 336 · see citing works
Effect of predicted protein-truncating genetic variants on the human transcriptome
Rivas, M. A., Pirinen, M., Conrad, D. F., Lek, M., Tsang, E. K., Karczewski, K. J., Maller, J. B., Kukurba, K. R., DeLuca, D. S., Fromer, M., et al. (2015) · Science · doi:10.1126/science.1261877 · Cited by 313 · see citing works
Self-citationMangoni, M. E., Traboulsie, A., Léoni, A., Couette, B., Marger, L., Quang, K. L., Kupfer, E., Cohen-Solal, A., Vilar, J., Shin, H., et al. (2006) · Circulation Research · doi:10.1161/01.res.0000225862.14314.49 · Cited by 310 · see citing works
The glutamate hypothesis of schizophrenia: evidence from human brain tissue studies
Hu, W., MacDonald, M. L., Elswick, D. E., & Sweet, R. A. (2015) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12547 · Cited by 286 · see citing works
The NMDA Receptor and Schizophrenia
Balu, D. T. (2016) · Advances in pharmacology · doi:10.1016/bs.apha.2016.01.006 · Cited by 285 · see citing works
Hyman, S. E. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003142 · Cited by 260 · see citing works
AMPA receptor GluA2 subunit defects are a cause of neurodevelopmental disorders
Salpietro, V., Dixon, C. L., Guo, H., Bello, O. D., Vandrovcová, J., Efthymiou, S., Maroofian, R., Heimer, G., Bürglen, L., Valence, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10910-w · Cited by 247 · see citing works
TSC1 Stabilizes TSC2 by Inhibiting the Interaction between TSC2 and the HERC1 Ubiquitin Ligase
Chong-Kopera, H., Inoki, K., Li, Y., Zhu, T., Garcia-Gonzalo, F. R., Rosa, J. L., & Guan, K.-L. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.c500451200 · Cited by 234 · see citing works
Singh, T., Walters, J. T. R., Johnstone, M., Curtis, D., Suvisaari, J., Torniainen, M., Rees, E., Iyegbe, C., Blackwood, D., McIntosh, A. M., et al. (2017) · Nature Genetics · doi:10.1038/ng.3903 · Cited by 231 · see citing works
Self-citationGRIN2A -related disorders: genotype and functional consequence predict phenotype
Strehlow, V., Heyne, H., Vlaskamp, D. R. M., Marwick, K. F. M., Rudolf, G., de Bellescize, J., Biskup, S., Brilstra, E. H., Brouwer, O. F., Callenbach, P. M. C., et al. (2018) · Brain · doi:10.1093/brain/awy304 · Cited by 219 · see citing works
Self-citationThalamic Ca v 3.1 T-type Ca 2 + channel plays a crucial role in stabilizing sleep
Anderson, M. P., Mochizuki, T., Xie, J., Fischler, W., Manger, J. P., Talley, E. M., Scammell, T. E., & Tonegawa, S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409644102 · Cited by 201 · see citing works
Myc-enhanced expression of Cul1 promotes ubiquitin-dependent proteolysis and cell cycle progressionPreprint
O’Hagan, R. C., Ohh, M., David, G., de Alborán, I. M., Alt, F. W., Kaelin, W. G., & DePinho, R. A. (2000) · Genes & Development · doi:10.1101/gad.827200 · Cited by 192 · see citing works
Cryo-EM structures of apo and antagonist-bound human Cav3.1
Zhao, Y., Huang, G., Wu, Q., Wu, K. K., Li, R., Lei, J., Pan, X., & Yan, N. (2019) · Nature · doi:10.1038/s41586-019-1801-3 · Cited by 183 · see citing works
Supp, D. M., Witte, D. P., Branford, W. W., Smith, E. P., & Potter, S. S. (1996) · Developmental Biology · doi:10.1006/dbio.1996.0134 · Cited by 170 · see citing works
Howrigan, D. P., Rose, S. A., Samocha, K. E., Fromer, M., Cerrato, F., Chen, W. J., Churchhouse, C., Chambert, K., Chandler, S. D., Daly, M. J., et al. (2020) · Nature Neuroscience · doi:10.1038/s41593-019-0564-3 · Cited by 168 · see citing works
Self-citationLoss of Cul1 results in early embryonic lethality and dysregulation of cyclin E
Dealy, M. J., Nguyen, K. V. T., Lo, J., Gstaiger, M., Krek, W., Elson, D. A., Arbeit, J. M., Kipreos, E. T., & Johnson, R. S. (1999) · Nature Genetics · doi:10.1038/13886 · Cited by 168 · see citing works
Recapitulation and Reversal of Schizophrenia-Related Phenotypes in Setd1a-Deficient Mice
Mukai, J., Cannavò, E., Crabtree, G. W., Sun, Z., Diamantopoulou, A., Thakur, P., Chang, C., Cai, Y., Lomvardas, S., Takata, A., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.014 · Cited by 144 · see citing works
Deletion of the Cul1 gene in mice causes arrest in early embryogenesis and accumulation of cyclin E
Wang, Y., Penfold, S. S., Tang, X., Hattori, N., Riley, P. R., Harper, J. W., Cross, J. C., & Tyers, M. (1999) · Current Biology · doi:10.1016/s0960-9822(00)80024-x · Cited by 137 · see citing works
Finucane, H. K., Reshef, Y., Anttila, V., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/103069 · Cited by 136 · see citing works
Wu, Y., Arai, A., Rumbaugh, G., Srivastava, A. K., TURNER, G. M., Hayashi, T., Suzuki, É., Jiang, Y., Zhang, L., Rodriguez, J. D., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0708699104 · Cited by 129 · see citing works
Haukka, J., Suvisaari, J., & Lönnqvist, J. (2003) · American Journal of Psychiatry · doi:10.1176/appi.ajp.160.3.460 · Cited by 126 · see citing works
Self-citationCoutelier, M., Blesneac, I., Monteil, A., Monin, M., Ando, K., Mundwiller, E., Brusco, A., Ber, I. L., Anheim, M., Castrioto, A., et al. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.09.007 · Cited by 122 · see citing works
Genetics of schizophrenia in the South African Xhosa
Gulsuner, S., Stein, D. J., Susser, E. S., Sibeko, G., Pretorius, A., Walsh, T., Majara, L., Mndini, M. M., Mqulwana, S. G., Ntola, O. A., et al. (2020) · Science · doi:10.1126/science.aay8833 · Cited by 118 · see citing works
Reproductive patterns in psychotic patients
Laursen, T. M., & Munk-Olsen, T. (2010) · Schizophrenia Research · doi:10.1016/j.schres.2010.05.018 · Cited by 111 · see citing works
An autism spectrum disorder-related de novo mutation hotspot discovered in the GEF1 domain of Trio
Sadybekov, A., Tian, C., Arnesano, C., Katritch, V., & Herring, B. E. (2017) · Nature Communications · doi:10.1038/s41467-017-00472-0 · Cited by 111 · see citing works
Barbosa, S., Greville-Heygate, S., Bonnet, M., Godwin, A., Fagotto-Kaufmann, C., Kajava, A. V., Laouteouet, D., Mawby, R., Wai, H. A., Dingemans, A. J. M., et al. (2020) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.01.018 · Cited by 104 · see citing works
Zhou, X., Long, J. M., Geyer, M. A., Masliah, E., Kelsoe, J. R., Wynshaw-Boris, A. J., & Chien, K. R. (2004) · Molecular Psychiatry · doi:10.1038/sj.mp.4001621 · Cited by 84 · see citing works
Genetic identification Of brain cell types underlying schizophreniaPreprint
Skene, N., Bryois, J., Bakken, T. E., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/145466 · Cited by 73 · see citing works
Mashimo, T., Hadjebi, O., Amair‐Pinedo, F., Tsurumi, T., Vives, F. L., Serikawa, T., Sotelo, C., Guénet, J., & Rosa, J. L. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000784 · Cited by 69 · see citing works
Katrancha, S. M., Wu, Y., Zhu, M., Eipper, B. A., Koleske, A. J., & Mains, R. E. (2017) · Human Molecular Genetics · doi:10.1093/hmg/ddx355 · Cited by 68 · see citing works
Xpo7 is a broad-spectrum exportin and a nuclear import receptor
Aksu, M., Pleiner, T., Karaca, S., Kappert, C., Dehne, H.-J., Seibel, K., Urlaub, H., Bohnsack, M. T., & Görlich, D. (2018) · The Journal of Cell Biology · doi:10.1083/jcb.201712013 · Cited by 67 · see citing works
Complex phenotype of mice homozygous for a null mutation in the Sp4 transcription factor gene
Göllner, H., Bouwman, P., Mangold, M., Karis, A., Braun, H., Rohner, I., del Rey, A., Besedovsky, H., Meinhardt, A., Broek, M. V. D., et al. (2001) · Genes to Cells · doi:10.1046/j.1365-2443.2001.00455.x · Cited by 59 · see citing works
Interaction between HERC1 and M2‐type pyruvate kinase
García-Gonzalo, F. R., Cruz, C., Muñoz, P., Mazurek, S., EIGENBRODT, E., Ventura, F., Bartrons, R., & Rosa, J. L. (2003) · FEBS Letters · doi:10.1016/s0014-5793(03)00205-9 · Cited by 42 · see citing works
Zhou, X., Nie, Z., Roberts, A. J., Zhang, D., Sebat, J. L., Malhotra, D., Kelsoe, J. R., & Geyer, M. A. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq298 · Cited by 38 · see citing works
Kaplanis, J., Samocha, K. E., Wiel, L., Zhang, Z., Arvai, K. J., Eberhardt, R. Y., Gallone, G., Lelieveld, S. H., Martin, H. C., McRae, J. F., et al. (2019) · doi:10.1101/797787 · Cited by 36 · see citing works
RB1CC1 activates the promoter and expression of RB1 in human cancer
Ikebuchi, K., Chano, T., Ochi, Y., Tameno, H., Shimada, T., Hisa, Y., & Okabe, H. (2009) · International Journal of Cancer · doi:10.1002/ijc.24466 · Cited by 34 · see citing works
RB1CC1 Activates RB1 Pathway and Inhibits Proliferation and Cologenic Survival in Human Cancer
Chano, T., Ikebuchi, K., Ochi, Y., Tameno, H., Tomita, Y., Jin, Y., Inaji, H., Ishitobi, M., Teramoto, K., Nishimura, I., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0011404 · Cited by 31 · see citing works
Kaplanis, J., Samocha, K. E., Wiel, L., Zhang, Z., Arvai, K. J., Eberhardt, R. Y., Gallone, G., Lelieveld, S. H., Martin, H. C., McRae, J. F., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/258723 · Cited by 19 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Trubetskoy, V., Pardiñas, A. F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T. B., Bryois, J., Chen, C.-Y., Dennison, C. A., Hall, L. S., et al. (2022) · Nature · doi:10.1038/s41586-022-04434-5 · Cited by 2,964 · see citing works
Self-citationJauhar, S., Johnstone, M., & Mckenna, P. (2022) · The Lancet · doi:10.1016/s0140-6736(21)01730-x · Cited by 9 · see citing works
Demontis, D., Walters, G. B., Athanasiadis, G., Walters, R., Therrien, K., Nielsen, T. T., Farajzadeh, L., Voloudakis, G., Bendl, J., Zeng, B., et al. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.07.018 · Cited by 823 · see citing works
Self-citationFu, J. M., Satterstrom, F. K., Peng, M., Brand, H., Collins, R. L., Dong, S., Wamsley, B., Klei, L., Wang, L., Hao, S. P., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01104-0 · Cited by 640 · see citing works
Self-citation15 years of GWAS discovery: Realizing the promise
Abdellaoui, A., Yengo, L., Verweij, K. J. H., & Visscher, P. M. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.12.011 · Cited by 542 · see citing works
Zhou, X., Feliciano, P., Shu, C., Wang, T., Astrovskaya, I., Hall, J. B., Obiajulu, J. U., Wright, J. R., Murali, S. C., Xu, S. X., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01148-2 · Cited by 453 · see citing works
Bryois, J., Calini, D., Macnair, W., Foo, L., Urich, E., Ortmann, W., Iglesias, V. A., Selvaraj, S., Nutma, E., Marzin, M., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01128-z · Cited by 311 · see citing works
Karczewski, K. J., Solomonson, M., Chao, K. R., Goodrich, J. K., Tiao, G., Lu, W., Riley-Gillis, B. M., Tsai, E. A., Kim, H. I., Zheng, X., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100168 · Cited by 284 · see citing works
Self-citationAndreassen, O. A., Hindley, G., Frei, O., & Smeland, O. B. (2023) · World Psychiatry · doi:10.1002/wps.21034 · Cited by 255 · see citing works
Genomics yields biological and phenotypic insights into bipolar disorder
O’Connell, K. S., Koromina, M., van der Veen, T., Boltz, T. A., David, F. S., Yang, J. M. K., Lin, K., Wang, X., Coleman, J. R. I., Mitchell, B. L., et al. (2025) · Nature · doi:10.1038/s41586-024-08468-9 · Cited by 253 · see citing works
Self-citationOpen Targets Platform: facilitating therapeutic hypotheses building in drug discovery
Buniello, A., Süveges, D., Cruz-Castillo, C., Llinares, M. B., Cornu, H., López, I., Tsukanov, K., Roldán‐Romero, J. M., Mehta, C., Fumis, L., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae1128 · Cited by 239 · see citing works
Genomics, convergent neuroscience and progress in understanding autism spectrum disorder
Willsey, H. R., Willsey, A. J., Wang, B., & State, M. W. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00576-7 · Cited by 229 · see citing works
Stevelink, R., Campbell, C., Chen, S., Abou-Khalil, B. W., Adesoji, O. M., Afawi, Z., Amadori, E., Anderson, A., Anderson, J., Andrade, D. M., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01485-w · Cited by 224 · see citing works
Self-citationExome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia
Palmer, D. S., Howrigan, D. P., Chapman, S. B., Adolfsson, R., Bass, N. J., Blackwood, D., Boks, M. P., Chen, C., Churchhouse, C. L., Corvin, A. P., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01034-x · Cited by 196 · see citing works
Self-citationThe schizophrenia syndrome, circa 2024: What we know and how that informs its nature
Tandon, R., Nasrallah, H. A., Akbarian, S., Carpenter, W. T., DeLisi, L. E., Gäebel, W., Green, M. F., Gur, R. E., Heckers, S., Kane, J. M., et al. (2023) · Schizophrenia Research · doi:10.1016/j.schres.2023.11.015 · Cited by 196 · see citing works
Self-citationGenomic findings in schizophrenia and their implications
Owen, M. J., Legge, S. E., Rees, E., Walters, J., & O’Donovan, M. C. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02293-8 · Cited by 189 · see citing works
Self-citationGenetics of human brain development
Zhou, Y. F., Song, H., & Ming, G. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00626-5 · Cited by 173 · see citing works
Targeting synapse function and loss for treatment of neurodegenerative diseases
Dejanovic, B., Sheng, M., & Hanson, J. E. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-023-00823-1 · Cited by 168 · see citing works
Gene-Environment Interactions in Schizophrenia: A Literature Review
Wahbeh, M. H., & Avramopoulos, D. (2021) · Genes · doi:10.3390/genes12121850 · Cited by 162 · see citing works
Cognitive Impairment Associated with Schizophrenia: From Pathophysiology to Treatment
Javitt, D. C. (2022) · The Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-051921-093250 · Cited by 162 · see citing works
A concerted neuron–astrocyte program declines in ageing and schizophrenia
Ling, E., Nemesh, J. C., Goldman, M., Kamitaki, N., Reed, N. M., Handsaker, R. E., Genovese, G., Vogelgsang, J. S., Gerges, S., Kashin, S., et al. (2024) · Nature · doi:10.1038/s41586-024-07109-5 · Cited by 162 · see citing works
Self-citationPolygenic architecture of rare coding variation across 394,783 exomes
Weiner, D. J., Nadig, A., Jagadeesh, K. A., Dey, K. K., Neale, B. M., Robinson, E., Karczewski, K. J., & O’Connor, L. J. (2023) · Nature · doi:10.1038/s41586-022-05684-z · Cited by 160 · see citing works
Self-citationComputational psychiatry: from synapses to sentience
Friston, K. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01743-z · Cited by 158 · see citing works
Single-cell multi-cohort dissection of the schizophrenia transcriptome
Ruzicka, W. B., Mohammadi, S., Fullard, J. F., Dávila-Velderrain, J., Subburaju, S., Tso, D. R., Hourihan, M., Jiang, S., Lee, H.-C., Bendl, J. M., et al. (2024) · Science · doi:10.1126/science.adg5136 · Cited by 155 · see citing works
Glutamatergic dysfunction in Schizophrenia
Kruse, A. O., & Bustillo, J. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02253-w · Cited by 154 · see citing works
Evolutionary psychiatry: foundations, progress and challenges
Nesse, R. M. (2023) · World Psychiatry · doi:10.1002/wps.21072 · Cited by 130 · see citing works
GATK-gCNV enables the discovery of rare copy number variants from exome sequencing data
Babadi, M., Fu, J. M., Lee, S. K., Smirnov, A. N., Gauthier, L. D., Walker, M., Benjamin, D. I., Zhao, X., Karczewski, K. J., Wong, I., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01449-0 · Cited by 128 · see citing works
Self-citationWells, M. F., Nemesh, J., Ghosh, S., Mitchell, J. M., Salick, M. R., Mello, C. J., Meyer, D., Pietilainen, O., Piccioni, F., Guss, E. J., et al. (2023) · Cell Stem Cell · doi:10.1016/j.stem.2023.01.010 · Cited by 116 · see citing works
Self-citationTherapeutic potential of N-methyl-D-aspartate receptor modulators in psychiatry
Hanson, J. E., Yuan, H., Perszyk, R. E., Banke, T. G., Xing, H., Tsai, M., Menniti, F. S., & Traynelis, S. F. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01614-3 · Cited by 116 · see citing works
Multi-omic profiling of the developing human cerebral cortex at the single-cell level
Zhu, K., Bendl, J. M., Rahman, S., Vicari, J. M., Coleman, C., Clarence, T., Latouche, O., Tsankova, N. M., Li, A., Brennand, K., et al. (2023) · Science Advances · doi:10.1126/sciadv.adg3754 · Cited by 116 · see citing works
Martin, A. R., Atkinson, E. G., Chapman, S. B., Stevenson, A., Stroud, R. E., Abebe, T., Akena, D. H., Kebede, M. A., Ashaba, F. K., Atwoli, L., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.03.012 · Cited by 115 · see citing works
Self-citationGenetic contributions to bipolar disorder: current status and future directions
O’Connell, K. S., & Coombes, B. J. (2021) · Psychological Medicine · doi:10.1017/s0033291721001252 · Cited by 115 · see citing works
Neurodevelopmental disturbances in schizophrenia: evidence from genetic and environmental factors
Schmitt, A., Falkai, P., & Papiol, S. (2022) · Journal of Neural Transmission · doi:10.1007/s00702-022-02567-5 · Cited by 113 · see citing works
Assembloid models of cell-cell interaction to study tissue and disease biology
Onesto, M. M., Kim, J.-I., & Pasca, S. P. (2024) · Cell Stem Cell · doi:10.1016/j.stem.2024.09.017 · Cited by 107 · see citing works
Estimating the number of diseases – the concept of rare, ultra-rare, and hyper-rare
Smith, C. I. E., Bergman, P., & Hagey, D. W. (2022) · iScience · doi:10.1016/j.isci.2022.104698 · Cited by 107 · see citing works
What genes are differentially expressed in individuals with schizophrenia? A systematic review
Merikangas, A. K., Shelly, M., Knighton, A., Kotler, N., Tanenbaum, N., & Almasy, L. A. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01420-7 · Cited by 104 · see citing works
Rees, E., Creeth, H., Hwu, H., Chen, W. J., Tsuang, M. T., Glatt, S. J., Rey, R., Kirov, G., Walters, J., Holmans, P., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-25532-4 · Cited by 103 · see citing works
Self-citationFaber, S. C., Roy, A. K., Michaels, T. I., & Williams, M. T. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1098292 · Cited by 99 · see citing works
Collaborative, E., Chen, S., Abou-Khalil, B. W., Afawi, Z., Ali, Q. Z., Amadori, E., Anderson, A., Anderson, J., Andrade, D. M., Annesi, G., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01747-8 · Cited by 88 · see citing works
Self-citationFunctional neuroimaging in psychiatry and the case for failing better
Nour, M. M., Liu, Y., & Dolan, R. J. (2022) · Neuron · doi:10.1016/j.neuron.2022.07.005 · Cited by 87 · see citing works
Developmental isoform diversity in the human neocortex informs neuropsychiatric risk mechanisms
Patowary, A., Zhang, P., Jops, C. T., Vuong, C. K., Ge, X., Hou, K., Kim, M., Gong, N. N., Margolis, M. P., Vo, D., et al. (2024) · Science · doi:10.1126/science.adh7688 · Cited by 87 · see citing works
Schizophrenia Genomics: Convergence on Synaptic Development, Adult Synaptic Plasticity, or Both?
Hall, J., & Bray, N. J. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.10.018 · Cited by 86 · see citing works
GluD1 is a signal transduction device disguised as an ionotropic receptor
Dai, J., Patzke, C., Liakath‐Ali, K., Seigneur, E. M., & Südhof, T. C. (2021) · Nature · doi:10.1038/s41586-021-03661-6 · Cited by 85 · see citing works
Emerging evidence for astrocyte dysfunction in schizophrenia
Figueiredo, E. C. D. O., Calì, C., Petrelli, F., & Bezzi, P. (2022) · Glia · doi:10.1002/glia.24221 · Cited by 85 · see citing works
Farsi, Z., Nicolella, A. A., Simmons, S., Aryal, S., Shepard, N., Brenner, K. S., Lin, S., Herzog, L. E., Moran, S. P., Stalnaker, K. J., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.08.004 · Cited by 82 · see citing works
Polygenic risk scores: An overview from bench to bedside for personalised medicine
Cross, B., Turner, R., & Pirmohamed, M. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.1000667 · Cited by 81 · see citing works
Pak, C., Dankó, T., Mirabella, V. R., Wang, J., Liu, Y., Vangipuram, M., Grieder, S. D., Zhang, X., Ward, T., Huang, Y. A., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2025598118 · Cited by 80 · see citing works
Exome sequencing in obsessive–compulsive disorder reveals a burden of rare damaging coding variants
Halvorsen, M., SAMUELS, J. F., Wang, Y., Greenberg, B. D., Fyer, A. J., McCracken, J. T., GELLER, D. A., Knowles, J. A., Zoghbi, A. W., Pottinger, T. D., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00876-8 · Cited by 80 · see citing works
Self-citationFinding new and better treatments for psychiatric disorders
Paul, S. M., & Potter, W. Z. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01690-5 · Cited by 80 · see citing works
Roy, D. S., Zhang, Y., Aida, T., Choi, S., Chen, Q., Hou, Y., Lea, N. E., Skaggs, K. M., Quay, J., Liew, M., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.005 · Cited by 79 · see citing works
Self-citationLiu, D., Meyer, D., Fennessy, B., Feng, C., Cheng, E., Johnson, J., Park, Y. J., Rieder, M.-K., Ascolillo, S., de Pins, A. M., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01305-1 · Cited by 76 · see citing works
Self-citationKim, M., Haney, J. R., Zhang, P., Hernandez, L. M., Wang, L.-K., Pérez‐Cano, L., Loohuis, L. M. O., de la Torre-Ubieta, L., & Gandal, M. J. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00847-z · Cited by 74 · see citing works
Aryal, S., Bonanno, K., Song, B. J., Mani, D. R., Keshishian, H., Carr, S. A., Sheng, M., & Dejanovic, B. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112497 · Cited by 74 · see citing works
Parvalbumin interneuron deficits in schizophrenia
Marín, Ó. (2024) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2024.02.010 · Cited by 72 · see citing works
Toward recovery in schizophrenia: Current concepts, findings, and future research directions
Onitsuka, T., Hirano, Y., Nakazawa, T., Ichihashi, K., Miura, K., Inada, K., Mitoma, R., Yasui‐Furukori, N., & Hashimoto, R. (2022) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.13342 · Cited by 70 · see citing works
Generating human neural diversity with a multiplexed morphogen screen in organoids
Amin, N. D., Kelley, K. W., Kaganovsky, K., Onesto, M. M., Hao, J., Miura, Y., McQueen, J. P., Reis, N., Narazaki, G., Li, T., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2024.10.016 · Cited by 70 · see citing works
Wang, S., van Rhijn, J.-R., Akkouh, I. A., Kogo, N., Maas, N., Bleeck, A., Ortiz, I. S., Lewerissa, E., Wu, K. M., Schoenmaker, C., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110790 · Cited by 69 · see citing works
Heberle, B. A., Brandon, J. A., Page, M. L., Nations, K. A., Dikobe, K. I., White, B. J., Gordon, L. A., Fox, G. A., Wadsworth, M. E., Doyle, P. H., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02245-9 · Cited by 69 · see citing works
Nakamura, T., & Takata, A. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02005-2 · Cited by 69 · see citing works
The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence
Xiong, H., Chu, C., Fan, L., Song, M. X., Zhang, J., Ma, Y., Zheng, R., Zhang, J., Yang, Z., & Jiang, T. (2023) · Intelligent Computing · doi:10.34133/icomputing.0055 · Cited by 66 · see citing works
Herzog, L. E., Wang, L., Yu, E., Choi, S., Farsi, Z., Song, B. J., Pan, J. Q., & Sheng, M. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02393-7 · Cited by 65 · see citing works
Genetic insights into the neurobiology of anxiety
Koskinen, M.-K., & Hovatta, I. (2023) · Trends in Neurosciences · doi:10.1016/j.tins.2023.01.007 · Cited by 64 · see citing works
The impact of rare protein coding genetic variation on adult cognitive function
Chen, C., Tian, R., Ge, T., Lam, M., Sánchez-Andrade, G., Singh, T., Urpa, L., Liu, J. Z., Sanderson, M., Rowley, C., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01398-8 · Cited by 64 · see citing works
Self-citationAntipsychotic drugs selectively decorrelate long-range interactions in deep cortical layers
Heindorf, M., & Keller, G. B. (2023) · eLife · doi:10.1101/2022.01.31.478462 · Cited by 63 · see citing works
Sebastian, R., Jin, K., Pavon, N., Bansal, R., Potter, A., Song, Y., Babu, J., Gabriel, R., Sun, Y., Aronow, B. J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39420-6 · Cited by 63 · see citing works
Cross-ancestry atlas of gene, isoform, and splicing regulation in the developing human brain
Wen, C. H., Margolis, M. P., Dai, R., Zhang, P., Przytycki, P. F., Vo, D., Bhattacharya, A., Matoba, N., Tang, M., Jiao, C., et al. (2024) · Science · doi:10.1126/science.adh0829 · Cited by 63 · see citing works
Schizophrenia genomics: genetic complexity and functional insights
Sullivan, P. F., Yao, S., & Hjerling‐Leffler, J. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00837-7 · Cited by 62 · see citing works
Self-citationHuman assembloids reveal the consequences of CACNA1G gene variants in the thalamocortical pathway
Kim, J.-I., Miura, Y., Li, M.-Y., Revah, O., Selvaraj, S., Birey, F., Meng, X., Thete, M. V., Pavlov, S. D., Andersen, J., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.09.020 · Cited by 59 · see citing works
Restoring the missing person to personalized medicine and precision psychiatry
Gómez-Carrillo, A., Paquin, V., Dumas, G., & Kirmayer, L. J. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1041433 · Cited by 59 · see citing works
The 22q11.2 region regulates presynaptic gene-products linked to schizophrenia
Nehme, R., Pietiläinen, O., Artomov, M., Tegtmeyer, M., Valakh, V., Lehtonen, L., Bell, C., Singh, T., Trehan, A., Sherwood, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-31436-8 · Cited by 58 · see citing works
Self-citationDaskalakis, N. P., Meijer, O. C., & de Kloet, E. R. (2022) · Neurobiology of Stress · doi:10.1016/j.ynstr.2022.100455 · Cited by 58 · see citing works
GRIN2A (NR2A): a gene contributing to glutamatergic involvement in schizophrenia
Harrison, P. J., & Bannerman, D. M. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02265-y · Cited by 57 · see citing works
Polygenic risk scores for predicting outcomes and treatment response in psychiatry: hope or hype?
Fusar‐Poli, L., Rutten, B. P. F., van Os, J., Aguglia, E., & Gülöksüz, S. (2022) · International Review of Psychiatry · doi:10.1080/09540261.2022.2101352 · Cited by 55 · see citing works
Burgess, H. A., & Burton, E. A. (2023) · Oxford Open Neuroscience · doi:10.1093/oons/kvac018 · Cited by 55 · see citing works
Ten challenges for clinical translation in psychiatric genetics
Derks, E. M., Thorp, J. G., & Gerring, Z. F. (2022) · Nature Genetics · doi:10.1038/s41588-022-01174-0 · Cited by 54 · see citing works
Brain Lipids and Lipid Droplet Dysregulation in Alzheimer’s Disease and Neuropsychiatric Disorders
Zhao, X., Zhang, S., Sanders, A. R., & Duan, J. (2023) · Complex Psychiatry · doi:10.1159/000535131 · Cited by 54 · see citing works
Language Network Dysfunction and Formal Thought Disorder in Schizophrenia
Palaniyappan, L. K., Homan, P., & Alonso-Sánchez, M. F. (2022) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac159 · Cited by 52 · see citing works
Pintacuda, G., Hsu, Y.-H. H., Tsafou, K., Li, K. W., Martín, J. M., Riseman, J., Biagini, J. C., Ching, J. K. T., Mena, D., Gonzalez‐Lozano, M. A., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2022.100250 · Cited by 52 · see citing works
Yao, S., Harder, A., Darki, F., Chang, Y.-W., Li, A., Nikouei, K., Volpe, G., Lundström, J. N., Zeng, J., Wray, N. R., et al. (2025) · Nature Communications · doi:10.1038/s41467-024-55611-1 · Cited by 52 · see citing works
Self-citationHigh-impact rare genetic variants in severe schizophrenia
Zoghbi, A. W., Dhindsa, R. S., Goldberg, T. E., Mehralizade, A., Motelow, J. E., Wang, X., Alkelai, A., Harms, M. B., Lieberman, J. A., Markx, S., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2112560118 · Cited by 52 · see citing works
Kafadar, E., Fisher, V., Quagan, B., Hammer, A., Jaeger, H., Mourgues, C., Thomas, R., Chen, L., Imtiaz, A., Sibarium, E., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2022.05.007 · Cited by 50 · see citing works
Mechanisms Underlying Circuit Dysfunction in Neurodevelopmental Disorders
Exposito-Alonso, D., & Rico, B. (2022) · Annual Review of Genetics · doi:10.1146/annurev-genet-072820-023642 · Cited by 49 · see citing works
Systematic investigation of allelic regulatory activity of schizophrenia-associated common variants
McAfee, J. C., Lee, S., Lee, J., Bell, J., Krupa, O., Davis, J. E., Insigne, K. D., Bond, M. L., Zhao, N., Boyle, A. P., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100404 · Cited by 49 · see citing works
Molecular mechanisms of schizophrenia: Insights from human genetics
Farsi, Z., & Sheng, M. (2023) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2023.102731 · Cited by 49 · see citing works
Prioritizing effector genes at trait-associated loci using multimodal evidence
Schipper, M., de Leeuw, C., Maciel, B. D. A. P. C., Wightman, D. P., Hubers, N., Boomsma, D. I., O’Donovan, M. C., & Posthuma, D. (2025) · Nature Genetics · doi:10.1038/s41588-025-02084-7 · Cited by 48 · see citing works
Self-citationPredictive Processing: A Circuit Approach to Psychosis
Keller, G. B., & Sterzer, P. (2024) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-100223-121214 · Cited by 47 · see citing works
The Genesis of Schizophrenia: An Origin Story
Birnbaum, R., & Weinberger, D. R. (2024) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20240305 · Cited by 47 · see citing works
The genetic architecture of schizophrenia: review of large-scale genetic studies
Kato, H., Kimura, H., Kushima, I., Takahashi, N., Aleksić, B., & Ozaki, N. (2022) · Journal of Human Genetics · doi:10.1038/s10038-022-01059-4 · Cited by 47 · see citing works
Maury, E. A., Sherman, M. A., Genovese, G., Gilgenast, T. G., Kamath, T., Burris, S. J., Rajarajan, P., Flaherty, E. K., Akbarian, S., Chess, A. J., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100356 · Cited by 46 · see citing works
Self-citationShin, D. S., Kim, C. N., Ross, J. M., Hennick, K. M., Wu, S., Paranjape, N., Leonard, R., Wang, J. C., Keefe, M. G., Pavlovic, B. J., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2024.01.010 · Cited by 46 · see citing works
SpliceTransformer predicts tissue-specific splicing linked to human diseases
You, N., Liu, C., Gu, Y., Wang, R., Jia, H., Zhang, T., Jiang, S., Shi, J., Chen, M., Guan, M., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53088-6 · Cited by 46 · see citing works
Scuderi, S., Kang, T.-Y., Jourdon, A., Nelson, A., Yang, L., Wu, F., Anderson, G. M., Mariani, J., Tomasini, L., Sarangi, V., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2025.04.006 · Cited by 46 · see citing works
Psychosis spectrum illnesses as disorders of prefrontal critical period plasticity
Vinogradov, S., Chafee, M. V., Lee, E. G., & Morishita, H. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-022-01451-w · Cited by 44 · see citing works
Specificity, length and luck drive gene rankings in association studies
Spence, J. P., Mostafavi, H., Ota, M., Milind, N., Gjorgjieva, T., Smith, C. J., Simons, Y. B., Sella, G., & Pritchard, J. K. (2025) · Nature · doi:10.1038/s41586-025-09703-7 · Cited by 43 · see citing works
Genomics of schizophrenia, bipolar disorder and major depressive disorder
Owen, M. J., Bray, N. J., Walters, J., & O’Donovan, M. C. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00843-0 · Cited by 42 · see citing works
Self-citationHarrison, P. J., Husain, S. M., Lee, H., Angeles, A. D. L., Colbourne, L., Mould, A. W., Hall, N., Haerty, W., & Tunbridge, E. M. (2022) · Neuropharmacology · doi:10.1016/j.neuropharm.2022.109262 · Cited by 41 · see citing works
Transcriptional cartography integrates multiscale biology of the human cortex
Wagstyl, K., Adler, S., Seidlitz, J., Vandekar, S., Mallard, T. T., Dear, R., DeCasien, A. R., Satterthwaite, T. D., Liu, S., Vértes, P. E., et al. (2023) · eLife · doi:10.7554/elife.86933 · Cited by 42 · see citing works
GluN2B-containing NMDARs in the mammalian brain: pharmacology, physiology, and pathology
Ge, Y., & Wang, Y. T. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1190324 · Cited by 41 · see citing works
A microglia-containing cerebral organoid model to study early life immune challenges
Buonfiglioli, A., Kübler, R., Missall, R. D., de Jong, R., Chan, S., Haage, V. C., Wendt, S., Lin, A. J., Mattei, D., Graziani, M., et al. (2024) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2024.11.008 · Cited by 41 · see citing works
Mahjani, B., Klei, L., Mattheisen, M., Halvorsen, M., Reichenberg, A., Roeder, K., Pedersen, N. L., Boberg, J., de Schipper, E. J., Bulik, C. M., et al. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2021.21010101 · Cited by 41 · see citing works
Self-citation
- Authors
- Singh, T., Poterba, T., Curtis, D., Akil, H., Al Eissa, M., Barchas, J. D., Bass, N., Bigdeli, T. B., Breen, G., Bromet, E. J., Buckley, P. F., Bunney, W. E., Bybjerg-Grauholm, J., Byerley, W. F., Chapman, S. B., Chen, W. J., Churchhouse, C., Craddock, N., Cusick, C. M., DeLisi, L., Dodge, S., Escamilla, M. A., Eskelinen, S., Fanous, A. H., Faraone, S. V., Fiorentino, A., Francioli, L., Gabriel, S. B., Gage, D., Gagliano Taliun, S. A., Ganna, A., Genovese, G., Glahn, D. C., Grove, J., Hall, M.-H., Hämäläinen, E., Heyne, H. O., Holi, M., Hougaard, D. M., Howrigan, D. P., Huang, H., Hwu, H.-G., Kahn, R. S., Kang, H. M., Karczewski, K. J., Kirov, G., Knowles, J. A., Lee, F. S., Lehrer, D. S., Lescai, F., Malaspina, D., Marder, S. R., McCarroll, S. A., McIntosh, A. M., Medeiros, H., Milani, L., Morley, C. P., Morris, D. W., Mortensen, P. B., Myers, R. M., Nordentoft, M., O’Brien, N. L., Olivares, A. M., Ongur, D., Ouwehand, W. H., Palmer, D. S., Paunio, T., Quested, D., Rapaport, M. H., Rees, E., Rollins, B., Satterstrom, F. K., Schatzberg, A., Scolnick, E., Scott, L. J., Sharp, S. I., Sklar, P., Smoller, J. W., Sobell, J. L., Solomonson, M., Stahl, E. A., Stevens, C. R., Suvisaari, J., Tiao, G., Watson, S. J., Watts, N. A., Blackwood, D. H., Børglum, A. D., Cohen, B. M., Corvin, A. P., Esko, T., Freimer, N. B., Glatt, S. J., Hultman, C. M., McQuillin, A., Palotie, A., Pato, C. N., Pato, M. T., Pulver, A. E., St. Clair, D., Tsuang, M. T., Vawter, M. P., Walters, J. T., Werge, T. M., Ophoff, R. A., Sullivan, P. F., Owen, M. J., Boehnke, M., O’Donovan, M. C., Neale, B. M., & Daly, M. J.
- Affiliations
- Broad Institute (US)
- Queen Mary University of London (GB)
- University of Michigan (US)
- Weill Cornell Medicine (US)
- University College London (GB)
- SUNY Downstate Health Sciences University (US)
- King's College London (GB)
- Stony Brook University (US)
- Virginia Commonwealth University (US)
- University of California, Irvine (US)
- University of California, San Francisco (US)
- National Taiwan University (TW)
- Cambridge Health Alliance (US)
- Texas Tech University Health Sciences Center (US)
- University of Helsinki (FI)
- SUNY Upstate Medical University (US)
- Boston Children's Hospital (US)
- Aarhus University (DK)
- Harvard University (US)
- Statens Serum Institut (DK)
- James J. Peters VA Medical Center (US)
- Cardiff University (GB)
- Wright State University (US)
- Icahn School of Medicine at Mount Sinai (US)
- University of Edinburgh (GB)
- University of Tartu (EE)
- Ollscoil na Gaillimhe – University of Galway (IE)
- HudsonAlpha Institute for Biotechnology (US)
- University of Copenhagen (DK)
- University of Cambridge (GB)
- Oxford Health NHS Foundation Trust (GB)
- Emory University (US)
- Massachusetts General Hospital (US)
- University of Southern California (US)
- Finnish Institute for Health and Welfare (FI)
- Trinity College Dublin (IE)
- Karolinska Institutet (SE)
- Johns Hopkins University (US)
- University of California San Diego (US)
- University of California, Los Angeles (US)
- University of North Carolina at Chapel Hill (US)
- Corresponding author
- Singh, Tarjinder
- Neale, Benjamin M.
- Daly, Mark J.
- ORCID
- Singh, Tarjinder
- Poterba, Timothy
- Curtis, David
- Akil, Huda
- Barchas, Jack D.
- Bass, Nicholas
- Bigdeli, Tim B.
- Breen, Gerome
- Bromet, Evelyn J.
- Buckley, Peter F.
- Bunney, William E.
- Byerley, William F.
- Chapman, Sinéad B.
- Chen, Wei J.
- Churchhouse, Claire
- Cusick, Caroline M.
- DeLisi, Lynn
- Escamilla, Michael A.
- Eskelinen, Saana
- Fanous, Ayman H.
- Faraone, Stephen V.
- Fiorentino, Alessia
- Francioli, Laurent
- Gabriel, Stacey B.
- Ganna, Andrea
- Genovese, Giulio
- Glahn, David C.
- Grove, Jakob
- Hall, Mei-Hua
- Heyne, Henrike O.
- Holi, Matti
- Hougaard, David M.
- Howrigan, Daniel P.
- Huang, Hailiang
- Hwu, Hai-Gwo
- Kahn, René S.
- Kang, Hyun Min
- Karczewski, Konrad J.
- Kirov, George
- Knowles, James A.
- Lee, Francis S.
- Lehrer, Douglas S.
- Lescai, Francesco
- Malaspina, Dolores
- Marder, Stephen R.
- McCarroll, Steven A.
- McIntosh, Andrew M.
- Medeiros, Helena
- Milani, Lili
- Morley, Christopher P.
- Morris, Derek W.
- Mortensen, Preben Bo
- Myers, Richard M.
- Nordentoft, Merete
- O’Brien, Niamh L.
- Olivares, Ana Maria
- Ouwehand, Willem H.
- Palmer, Duncan S.
- Paunio, Tiina
- Quested, Digby
- Rapaport, Mark H.
- Rees, Elliott
- Rollins, Brandi
- Satterstrom, F. Kyle
- Schatzberg, Alan
- Scolnick, Edward
- Scott, Laura J.
- Sharp, Sally I.
- Sklar, Pamela
- Smoller, Jordan W.
- Sobell, Janet L.
- Solomonson, Matthew
- Stahl, Eli A.
- Stevens, Christine R.
- Suvisaari, Jaana
- Tiao, Grace
- Watson, Stanley J.
- Blackwood, Douglas H.
- Børglum, Anders D.
- Cohen, Bruce M.
- Corvin, Aiden P.
- Esko, Tõnu
- Freimer, Nelson B.
- Glatt, Stephen J.
- McQuillin, Andrew
- Palotie, Aarno
- Pato, Carlos N.
- Pato, Michele T.
- Tsuang, Ming T.
- Vawter, Marquis P.
- Walters, James T.
- Werge, Thomas M.
- Ophoff, Roel A.
- Sullivan, Patrick F.
- Owen, Michael J.
- Boehnke, Michael
- O’Donovan, Michael C.
- Neale, Benjamin M.
- Daly, Mark J.
- Venue
- Nature
- Published
- 2022-04-08
- Volume
- 604
- Issue
- 7906
- Pages
- 509-516
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC9805802
- OpenAlex
- W4223433728
- Semantic Scholar
- c2b5a9c2f887fcdd0127f72ee28d110469c6b366
- Cited by
- 983
- References
- 80
- Citations by year
- 2026: 158 · 2025: 214 · 2024: 220 · 2023: 197 · 2022: 139 · 2021: 53 · 2020: 1 · 2019: 1
- FWCI
- 125.23
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- medRxiv (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- PubMed Central (acceptedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Työväentutkimus Vuosikirja (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- STM:n Hallinnonalan avoin julkaisuarkisto (Julkari) (submittedVersion)
- Funders
- GlaxoSmithKline
- Massachusetts General Hospital
- Biogen
- Dalio Foundation
- Broad Institute (U54HG003067)
- Stanley Family Foundation
- National Institute for Health and Care Research
- King's College London
- Cardiff University (MR/L010305/1, G0800509)
- Lundbeckfonden (R155-2014-1724, R204-2015-4129, R341-2020-222, R248‐2017‐2003, R24-2008-3243, R364-2021-85)
- National Institutes of Health (5u01da024417-02, -0001, 5p30ns069329-02, AA 09367, DA 05147, DA024417)
- Institute of Psychiatry, Psychology and Neuroscience, King’s College London
- Canadian Institutes of Health Research
- Medical Research Council (MR/L010305/1, G0800509)
- National Institute on Alcohol Abuse and Alcoholism (R01AA009367, R37AA009367)
- National Institute on Aging (R01AG064955, R01AG035083, P50AG005681, P01AG003991)
- National Heart, Lung, and Blood Institute (U01HL117626, R01HL117626)
- National Institute of Mental Health (U01MH109539, R01MH085521, U01MH105641, U01MH105666, U01MH105653, R01MH116037, R01MH085548, R01MH104964, R01MH094145, MH105653, U01MH105578, R01MH124851, R01MH123451, DA05147)
- National Institute on Drug Abuse (U01-DA024417, R01DA037904, R01DA024417, R01DA005147, R01DA036216, R37DA005147)
- National Human Genome Research Institute (U54HG003067, R01HG007022)
- National Institute of Neurological Disorders and Stroke (P30-NS069329)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P50HD105351)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Keywords
- schizophrenia, risk genes, GRIN2A, GRIA3, NMDA receptor, AMPA receptors, glutamatergic system, synapses, neurodevelopmental disorders, autism spectrum disorder, epilepsy, schizophrenia pathogenesis
- MeSH terms
- Humans, Mutation, Schizophrenia, Case-Control Studies, Receptors, N-Methyl-D-Aspartate, Genetic Predisposition to Disease, Exome, Neurodevelopmental Disorders
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-06.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review