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Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia
Open accessPreprint — published as 10.1038/s41586-022-04556-w · Paper page
Abstract
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%. 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 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. We find significant evidence for an overlap of rare variant risk between schizophrenia, autism spectrum disorders (ASD), and severe neurodevelopmental disorders (DD/ID), supporting a neurodevelopmental etiology for schizophrenia. We show that protein-truncating variants in GRIN2A, TRIO , and CACNA1G confer risk for schizophrenia whereas specific missense mutations in these genes confer risk for DD/ID. Nevertheless, few of the strongly associated schizophrenia genes appear to confer risk for DD/ID. We demonstrate that genes prioritized from common variant analyses of schizophrenia are enriched in rare variant risk, suggesting that common and rare genetic risk factors at least partially converge on the same underlying pathogenic biological processes. Even after excluding significantly associated genes, schizophrenia cases still carry a substantial excess of URVs, implying that more schizophrenia risk genes await discovery using this approach.
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TL;DR
Meta-analyzing exomes from 24,248 schizophrenia cases, 97,322 controls, and 3,402 trios identified 10 genes with ultra-rare coding variants at exome-wide significance and 32 genes at FDR < 5%. The results implicate synaptic and glutamatergic biology, show shared rare-variant risk with ASD/DD/ID, and suggest partial convergence with common-variant GWAS signals.
Key findings
- Ten genes reached exome-wide significance (P < 2.14 × 10⁻⁶), with odds ratios for PTVs and Class I variants ranging from 3 to 50; 22 additional genes were significant at FDR < 5%. The 10 genes were SETD1A, CUL1, XPO7, TRIO, CACNA1G, SP4, GRIA3, GRIN2A, HERC1, and RB1CC1.
- GRIN2A and GRIA3 support glutamatergic dysfunction: GRIN2A Class I OR = 24.1 (95% CI 5.36–221), Class II OR = 2.37 (95% CI 1.1–4.92); GRIA3 Class I OR = 20.1 (95% CI 4.28–188).
- Schizophrenia rare-variant risk overlaps with neurodevelopmental disorders: enrichment in DD/ID genes (P = 1.5 × 10⁻¹⁴; ORClass I = 1.44, 95% CI 1.3–1.6) and ASD genes (P = 3.7 × 10⁻⁷; ORClass I = 1.45, 95% CI 1.23–1.72). PTVs in GRIN2A, TRIO, and CACNA1G confer schizophrenia risk, whereas specific missense mutations in these genes confer DD/ID risk.
- Common and rare variant signals partially converge: genes prioritized by GWAS fine-mapping were enriched for ultra-rare variants (Pmeta = 1.1 × 10⁻³; ORClass I = 1.42, 95% CI 1.17–1.73), and the constrained-gene burden remained after excluding the 32 FDR < 5% genes (OR = 1.23, P = 4.3 × 10⁻²⁷).
Methods
- Aggregated exome sequence data from 24,248 schizophrenia cases and 50,437 individuals without a known psychiatric diagnosis across 11 global collections, then added 46,885 gnomAD controls for a combined discovery set of 24,248 cases and 97,322 controls; also analyzed de novo mutations from 3,402 parent-proband trios.
- Samples were jointly reprocessed and variant-called with a standardized BWA-Picard-GATK pipeline; analyses were restricted to coding exons and ultra-rare variants (MAC ≤ 5), including PTVs and damaging missense variants defined by MPC > 3 (Class I) and MPC 2–3 (Class II).
- Gene-based burden tests used Fisher’s exact test with case-control permutations within strata, meta-analysis by weighted Z-score, and Poisson rate tests for de novo mutations; pathway, tissue, and cell-type enrichments were also tested, and results were jointly analyzed with the largest schizophrenia GWAS.
Limitations
- The paper states that earlier sequencing studies had limited power for individual gene discovery and that even after excluding the 32 FDR < 5% genes, cases still carry a substantial excess of ultra-rare variants (OR = 1.23, P = 4.3 × 10⁻²⁷), implying that many schizophrenia risk genes remain undiscovered.
- The paper notes that only summary-level variant counts were available for 46,885 external gnomAD controls, and it used permutation testing and strata to control for possible technical or methodological batch effects.
- The paper states that confidence intervals for the top gene associations are wide (e.g., GRIN2A Class I 5.36–221; GRIA3 Class I 4.28–188), reflecting imprecise effect estimates from few variant carriers; no formal limitations section is included.
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In the paper
“Combining these findings with other large-scale sequencing studies, we find shared and distinct genetic signals between schizophrenia and other neurodevelopmental disorders.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Nevertheless, few of the strongly associated schizophrenia genes appear to confer risk for DD/ID.”
- Also stated in: § Shared and distinct genetic risk with other neurodevelopmental disorders · plain
“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).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Shared and distinct genetic risk with other neurodevelopmental disorders · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Here, we find that PTV and damaging missense variants in NMDA receptor subunit GRIN2A confer substantial risk for schizophrenia (P = 7.37 x 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).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Risk genes implicated by rare protein-coding variants
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We find significant evidence for an overlap of rare variant risk between schizophrenia, autism spectrum disorders (ASD), and severe neurodevelopmental disorders (DD/ID), supporting a neurodevelopmental etiology for schizophrenia.”
- Also stated in: § Shared and distinct genetic risk with other neurodevelopmental disorders · plain
“We found a significant excess of URVs in schizophrenia cases compared to controls in the 299 DD/ID-associated genes (Pmeta = 1.5 x 10 -14 ; ORClass I = 1.44, 1.3 -1.6 95% CI), and in the 102 ASD-associated genes (Pmeta = 3.7 x 10 -7 ; ORClass I = 1.45, 1.23 -1.72 95% CI; Figure 5A; Table S12).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Shared and distinct genetic risk with other neurodevelopmental disorders · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We observed significant enrichment of URVs in 33 gene sets (P < 2.9 x 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 x 10 -12 ), chromatin modification (GO:0016568; P = 1.8 x 10 -12 ), regulation of ion transmembrane transport (GO:0034765; P =”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared genes and processes identified by common variants and ultra-rare protein-coding variants
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In the paper
“These genes have the greatest expression in central nervous system neurons”
- Also stated in: § Shared genes and processes identified by common variants and ultra-rare protein-coding variants · plain
“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 S20).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Abstract
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Also stated in: § Shared genes and processes identified by common variants and ultra-rare protein-coding variants · plain
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“and 32 genes at a FDR < 5%.”
- Also stated in: § Risk genes implicated by rare protein-coding variants · plain
“Beyond these ten genes, we identify 22 additional genes at a False Discovery Rate (FDR) < 5% (Figure 2A, Table S5).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Abstract
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Also stated in: § Risk genes implicated by rare protein-coding variants · plain
In the paper
“In tandem with a companion paper from the Psychiatric Genomics Consortium 10 , we provide evidence that common and ultra-rare coding variants identify an overlapping set of genes.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
What the sources say
- Not checked yetcites [10] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia. Submitted (2020).
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The most striking enrichment was observed for the 52 genes with case-control P < 0.001 (Class I mutations: P = 2.1 x 10 -11 ; Rate ratio = 8.3, 95% CI = 4.9 -13), which provides additional reassurance of the robustness of our case-control gene results.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Analysis approach
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We additionally find that risk URVs in AMPA receptor subunit GRIA3 confer substantial risk (P = 5.98 x 10 -7 ; Class I [PTV and MPC > 3] OR 20.1 95% CI 4.28 -188; Table 1).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Risk genes implicated by rare protein-coding variants
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 28
- Probably not a substantial claim. 14
In the paper
“Using Poisson rate tests based on expected mutation rate 25 , we found these de novo mutations are enriched for the 244 genes with P < 0.01 in our case-control analysis (Figure S16, Table S5), with limited or no signal in the remaining genes in the genome (Figure 1D).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Analysis approach
What the sources say
- Not checked yetcites [25] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We show that proteintruncating variants in GRIN2A, TRIO, and CACNA1G confer risk for schizophrenia whereas specific missense mutations in these genes confer risk for DD/ID.”
- Also stated in: § Shared and distinct genetic risk with other neurodevelopmental disorders · plain
“Notably, 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), while the schizophrenia signal was largely driven by PTVs.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Abstract
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- Also stated in: § Shared and distinct genetic risk with other neurodevelopmental disorders · plain
None of the sources cited for this claim have been checked yet.
In the paper
“Following earlier reports studying heritability enrichment in GTEx tissues 5,30 , 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 x 10 -8 ) and with limited signal in the other tissue types (Figure S19, Table S8, S9).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared genes and processes identified by common variants and ultra-rare protein-coding variants
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In the paper
“Indeed, individual genes like SETD1A, TRIO, and SP4 exhibited prenatal expression while GRIN2A and GRIA3 showed postnatal expression (Figure S24).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Figure 5. Shared genetic signal between schizophrenia and other neurodevelopmental disorders.
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In the paper
“De novo missense mutations in these genes clustered in specific domains and are associated with more severe neurodevelopmental, syndromic disorders with cognitive impairment”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Discussion
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In the paper
“Statistical fine-mapping prioritized the likely underlying protein-coding gene at 69 of these associations (Table S11), and we found a case-control enrichment of URVs in these genes (Pmeta = 1.1 x 10 -3 ; ORClass I = 1.42, 1.17 -1.73 95% CI; Figure 4A, Table S12).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared genes and processes identified by common variants and ultra-rare protein-coding variants
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In the paper
“Broadly speaking, while PTV mutations in certain genes are joint risk factors for schizophrenia and DD/ID, 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.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared and distinct genetic risk with other neurodevelopmental disorders
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A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Of further interest, 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.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Discussion
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In the paper
“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).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared genes and processes identified by common variants and ultra-rare protein-coding variants
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Notably, 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), while the schizophrenia signal was largely driven by PTVs.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared and distinct genetic risk with other neurodevelopmental disorders
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“A natural doseresponse 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.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Discussion
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“We found a significant excess of URVs in schizophrenia cases compared to controls in the 299 DD/ID-associated genes (Pmeta = 1.5 x 10 -14 ; ORClass I = 1.44, 1.3 -1.6 95% CI), and in the 102 ASD-associated genes (Pmeta = 3.7 x 10 -7 ; ORClass I = 1.45, 1.23 -1.72 95% CI; Figure 5A; Table S12).”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared and distinct genetic risk with other neurodevelopmental disorders
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“SETD1A had a significant de novo PTV signal in DD/ID (Xobs = 8, Xexp = 0.41; P = 1.3 x 10 -8 ), supporting an earlier report that described SETD1A as a gene associated with both schizophrenia and broader neurodevelopmental disorders 18 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared and distinct genetic risk with other neurodevelopmental disorders
What the sources say
- Not checked yetcites [18] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Genome-wide analyses recapitulated known biological processes and reaffirm that schizophrenia risk genes are involved in the postsynaptic density and broader synaptic function”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Discussion
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In the paper
“while ASD individuals have 0.0478 (0.0387 -0.0568 95% CI) extra de novo PTV mutations”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Contribution of ultra-rare PTVs to schizophrenia risk
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Rests on an assumption: Schizophrenia risk URVs are concentrated in the 3,063 PTV-intolerant (pLI > 0.9) genes.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, we demonstrate that increased scale following this approach will uncover additional risk genes and help complete the genetic architecture of schizophrenia.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
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In the paper
“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 associated 13,18 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
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In the paper
“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 disorders 6,8 and suggesting strong direct selection against such mutations.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
What the sources say
- Not checked yetcites [6] source
- Not checked yetcites [8] Singh, T. et al. The contribution of rare variants to risk of schizophrenia in individuals with and without intellectual disability. Nat. Genet. 1–10 (2017).
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In the paper
“As a class of variation, common variants explain ~24% of the variance in disease liability 11 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
What the sources say
- Not checked yetcites [11] source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
None of the sources cited for this claim have been checked yet.
In the paper
“The most natural grouping for rare variants is within a gene, based on predicted functional consequence or evidence for deleteriousness 13,14 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: Most rare variants will have little or no functional consequence or impact on risk.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Analyzing rare coding variants offers a powerful complementary approach to identify genes in complex traits.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence.
- Rests on an assumption: Most rare variants will have little or no functional consequence or impact on risk.
- Rests on an assumption: Causal variants in schizophrenia GWAS are predominantly noncoding.
In the paper
“It is well-established that schizophrenia has a substantial genetic component with contributions from across the allele frequency spectrum [5][6][7][8] .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
What the sources say
- Not checked yetcites [5][6][7][8]
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
In the paper
“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-ofonset (Supplementary Information, Figure 3B) 27 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Risk genes implicated by rare protein-coding variants
What the sources say
- Not checked yetcites [27] source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“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) 10 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
What the sources say
- Not checked yetcites [10] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia. Submitted (2020).
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
None of the sources cited for this claim have been checked yet.
In the paper
“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 22q11.2deletion carriers 7,12 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
Strength:boosted· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“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 processes 6,8,[16][17][18][19][20] .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Introduction
What the sources say
- Not checked yetcites 6,8,[16][17][18][19][20]
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
In the paper
“Schizophrenia GWAS also identified a common variant at GRIN2A (OR = 1.057,P = 1.57x 10 - 10 ), providing an allelic series in which different perturbation of gene function results in severity of disease risk (Figure 3A) 5 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Risk genes implicated by rare protein-coding variants
What the sources say
- Not checked yetcites [5] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The most striking enrichment was observed for the 52 genes with case-control P < 0.001 (Class I mutations: P = 2.1 x 10 -11 ; Rate ratio = 8.3, 95% CI = 4.9 -13), which provides additional reassurance of the robustness of our case-control gene results.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Analysis approach
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In the paper
“De novo mutations in GRIN2B conversely are associated with more severe disorders of neurodevelopment that manifest in childhood, including intellectual disability and autism 41 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Discussion
What the sources say
- Not checked yetcites [41] source
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared genes and processes identified by common variants and ultra-rare protein-coding variants
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Shared and distinct genetic risk with other neurodevelopmental disorders
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“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) 5,7 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Contribution of ultra-rare PTVs to schizophrenia risk
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“suggesting that 0.86% of patients are carriers and ~35% of variants are de novo.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Contribution of ultra-rare PTVs to schizophrenia risk
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Because schizophrenia as a trait is under strong selection [38][39][40]”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Contribution of ultra-rare PTVs to schizophrenia risk
What the sources say
- Not checked yetcites [38][39][40]
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
In the paper
“Despite this progress, it is clear that we are still in the early stages of gene discovery 10 .”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Discussion
What the sources say
- Not checked yetcites [10] Schizophrenia Working Group of the Psychiatric Genomics Consortium. Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia. Submitted (2020).
Strength:boosted· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The vast majority of risk alleles, their direction and magnitude of effect, mode of action, and responsible genes are yet to be discovered.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Discussion
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ Exome sequencing identifies rare coding variants in 10 genes which confer substantial risk for schizophrenia > Contribution of ultra-rare PTVs to schizophrenia risk
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may state two separate claims as one.
The paper relies on this without support.
Most rare variants will have little or no functional consequence or impact on risk.
“However, most rare variants will have little or no functional consequence or impact on risk, posing a significant challenge in identifying those that are truly causal and complicating required analyses in which rare variants are tested as a group rather than individually.”
The paper relies on this without support.
Linkage disequilibrium can be readily avoided as a driver of spurious signals because these variants are each seen in very few individuals.
“As these variants are each seen in very few individuals -and often de novo or very recent -linkage disequilibrium can be readily avoided as a driver of spurious signals meaning that genes frequently can be identified directly.”
The paper relies on this without support.
Causal variants in schizophrenia GWAS are predominantly noncoding.
“Because causal variants in schizophrenia GWAS are predominantly noncoding, 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.”
The paper relies on this without support.
Schizophrenia risk URVs are concentrated in the 3,063 PTV-intolerant (pLI > 0.9) genes.
“We restrict these analyses to the 3,063 PTV-intolerant (pLI > 0.9) genes in which schizophrenia risk URVs are concentrated.”
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.
“the NMDA receptor is composed of two GRIN2 units (GRIN2A and/or GRIN2B) along with two constitutive GRIN1 units”
The paper relies on this without support.
GRIN2A increases dramatically in expression later in childhood and adolescence, mimicking the age of onset of disease for schizophrenia.
“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?
In the citing paper
“SP4, a transcription factor highly expressed in brain and which is regulated by NMDA transmission, and also regulates NMDA receptor abundance37.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [37]
In the citing paper
“Of the 10 exome-wide significant genes identified by SCHEMA36, two were prioritised candidates from fine-mapping; GRIN2A encoding a glutamatergic NMDA receptor subunit, and SP4, a transcription factor highly expressed in brain and which is regulated by NMDA transmission, and also regulates NMDA receptor abundance37.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [37]
In the citing paper
“Significant SMR associations imply colocalization of the schizophrenia associations with eQTL.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [37]
In the citing paper
“We applied the HEIDI test37 to filter out SMR associations (PHEIDI < 0.01) due to linkage disequilibrium between SCZ-associated variants and eQTLs.”
From Mapping genomic loci implicates genes and synaptic biology in schizophrenia (2022) · cites this paper as [37]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
GRIN2A Class II variants use a conflicting MPC cutoff
MinorThe GRIN2A result labels Class II as MPC > 2, which includes variants with MPC > 3. Elsewhere, the paper defines Class II specifically as MPC 2-3 and assigns MPC > 3 variants to Class I.
“Class II [MPC > 2] OR 2.37, 95% CI 1.1 -4.92”
“Class I: PTV and missense variants (MPC > 3); Class II: missense variants (MPC 2 -3).”
Citations
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“Previous studies have shown that PTVs are concentrated in 3,063 genes under strong constraint in schizophrenia cases compared to controls 8,22 , and we replicated this result with consistent signals across our major cohorts ( P meta = 7.6 x 10 -35 ; OR = 1.26, 95% CI = 1.22 - 1.31, Figure 1C,…”
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“NMDAR channel blockers (ketamine and phencyclidine) induce schizophrenia-like symptoms and cognitive deficits in healthy individuals 64,65 , and anti-NMDAR encephalitis, an autoimmune disorder originating from a antibody-mediated attack on NMDARs, result in psychosis-like symptoms and memory…”
BackgroundSystematic review and meta-analysis
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Self-citationAMPA Receptor Trafficking and Synaptic Plasticity
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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
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“For insomnia and smoking, 83% and 79% of shared variants had concordant directions, respectively, whereas only 21% and 20% of ADHD risk variants were concordant with variants associated with educational attainment and age at first birth, respectively (Supplementary Table 19).”
BackgroundSelf-citationKarczewski, 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
Self-citationGene-Environment Interactions in Schizophrenia: A Literature Review
Wahbeh, M. H., & Avramopoulos, D. (2021) · Genes · doi:10.3390/genes12121850 · Cited by 162
“have shown that individuals with schizophrenia have more rare structural variants such as deletions and/or duplications of one or more genes compared to controls [10].”
BackgroundAutism Spectrum Disorder Genetics and the Search for Pathological Mechanisms
Manoli, D. S., & State, M. W. (2021) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2020.20111608 · Cited by 159
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“Previous work in psychiatric genetics has shown that while common variants explain most of the SNP heritability for schizophrenia,(28,29) there are at least partially converging genetic signatures emerging from exome sequencing studies that provide new biological insights and are especially informative for severe psyc…”
BackgroundSelf-citationRees, 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 106
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 110
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 90
“Therecent schizophrenia GWAS of the PGC (16) and the exome sequencing analysis of the SCHEMA Consortium ( 17) provide further evidence for the involvement of synaptic plasticity and adult memory processes in risk for schizophrenia.”
BackgroundMethodInfluentialGenetic 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 122
“…approach has the potential to exacerbate health disparities already seen in BD (Akinhanmi et al., 2018) by limiting the therapeutic advances gained by pharmacogenomics and improved genetic risk predictions to those of European descent (Duncan et al., 2019; Martin et al., 2019; Sirugo et al., 2019).”
Pak, C.-H., Danko, T., Mirabella, V. R., et al. (2020) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1101/2020.11.03.366617 · Cited by 77
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
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Kim, 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 76
“These included genes within the eight recurrent CNV regions associated with SCZ 28 and genes harboring an excess of rare, likely gene-disrupting (LGD) variants in SCZ probands 29,30 .”
InfluentialThe 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
Self-citationThe 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 67
Self-citationToward 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 76
“From the standpoint of molecular genetics, the neurodevelopmental hypothesis has been further corroborated by evidence linking some of the schizophrenia-related genes identified by recent large-scale genetic analyses to autism spectrum disorders.(39) In addition to the hypotheses described above, other hypotheses have…”
BackgroundHigh-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 53
Transcriptional Cartography Integrates Multiscale Biology of the Human CortexPreprint
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. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.13.495984 · Cited by 9
“Comparison with the BrainVar dataset revealed that most module eigenmaps (13 of all 16 cortical modules) were enriched for genes with dynamic, developmentally-coordinated expression levels between early fetal and late adult stages ( Figure 3c, Table S4 ).”
MethodZhou, X.-Y., Feliciano, P., Wang, T., et al. (2021) · medRxiv · doi:10.1101/2021.10.08.21264256 · Cited by 34
Fu, J. M., Satterstrom, F., Peng, M., et al. (2021) · medRxiv · doi:10.1101/2021.12.20.21267194 · Cited by 33
“…strategy: burden is greatest in individuals with developmental delay (DD), intellectual disability, or multi-system congenital anomalies; moderate in individuals with ASD or isolated developmental anomalies; and lowest in schizophrenia and other neuropsychiatric disorders 10,11,13,14,16,17 .”
BackgroundResultInfluentialSelf-citationTargeting synaptic plasticity in schizophrenia: insights from genomic studies
Mould, A. W., Hall, N., Milošević, I., & Tunbridge, E. M. (2021) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2021.07.014 · Cited by 34
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“A recent large-scale exome sequencing identified an ultra rare protein-truncating variant of TBX1 among individuals with schizophrenia [7], but its statistical significance is unclear due to power limitation.”
BackgroundBircher, J. E., & Koleske, A. J. (2021) · Journal of Cell Science · doi:10.1242/jcs.248393 · Cited by 35
Prioritization of disease genes from GWAS using ensemble-based positive-unlabeled learning
Kolosov, N., Daly, M. J., & Artomov, M. (2021) · European Journal of Human Genetics · doi:10.1038/s41431-021-00930-w · Cited by 36
“The fi rst set was derived from Singh et al. [44] analysis of schizophrenia exomes. used 10 genes identi fi ed with FDR < 5% as associated with the disease that overlapped with the initial set of genes from the feature table and used them as a validation set (Fig.”
MethodSelf-citationTsimberidou, A. M., Skliris, A., Valentine, A. D., Shaw, J. V., Hering, U., Vo, H. H., Chan, T. O., Armen, R. S., Cottrell, J. R., Pan, J. Q., et al. (2022) · Cell & Bioscience · doi:10.1186/s13578-022-00793-8 · Cited by 21
“While the loss-of-function variants of AKT3 did not confer risk for schizophrenia, we characterized AKT3-Q60H because of its location in the PH domain and potential functional consequences [30].”
BackgroundLencz, T., Yu, J., Khan, R., et al. (2020) · medRxiv · doi:10.1101/2020.05.29.20115352 · Cited by 25
Astrocytic cell adhesion genes linked to schizophrenia correlate with synaptic programs in neurons
Pietiläinen, O. P. H., Trehan, A., Meyer, D., Mitchell, J. M., Tegtmeyer, M., Valakh, V., Gebre, H., Chen, T., Vartiainen, E., Farhi, S. L., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2022.111988 · Cited by 36
Over-representation of potential SP4 target genes within schizophrenia-risk genes
Zhou, X. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01376-8 · Cited by 30
Sanders, B., D’Andrea, D., Collins, M. O., Rees, E., Steward, T. G. J., Zhu, Y., Chapman, G., Legge, S. E., Pardiñas, A. F., Harwood, A. J., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27601-0 · Cited by 34
Gene expression changes following chronic antipsychotic exposure in single cells from mouse striatum
Abrantes, A., Giusti‐Rodríguez, P., Ancalade, N., Sekle, S., Basiri, M. L., Stuber, G. D., Sullivan, P. F., & Hultman, R. C. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01509-7 · Cited by 24
Exome sequencing in bipolar disorder reveals shared risk gene AKAP11 with schizophreniaPreprint
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. (2021) · medRxiv · doi:10.1101/2021.03.09.21252930 · Cited by 5
Self-citationGuo, M. G., Reynolds, D. L., Ang, C. E., Liu, Y., Zhao, Y., Donohue, L. K. H., Siprashvili, Z., Yang, X., Yoo, Y., Mondal, S., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01533-5 · Cited by 23
“Genes found mutated in large-scale exome sequencing from the Schizo-phrenia Exome Sequencing Meta-analysis (SCHEMA) consortium 46 were intersected with genes linked to daSNVs via neural cell chromatin architecture ( n = 7 genes; C4A , CACNA1G , DAGLA , MAGI2 , STAF1 , SV2A and XPO7 ; Fig.”
MethodKozlova, A., Zhang, S.-W., Kotlar, A. V., Jamison, B., Zhang, H.-W., Shi, S., Forrest, M. P., McDaid, J., Cutler, D., Epstein, M. P., et al. (2022) · bioRxiv · doi:10.1101/2022.01.06.473910 · Cited by 22
A matter of space and time: Emerging roles of disease-associated proteins in neural development
Panagiotakos, G., & Pașca, S. P. (2021) · Neuron · doi:10.1016/j.neuron.2021.10.035 · Cited by 25
Akingbuwa, W. A., Hammerschlag, A. R., Bartels, M., Nivard, M. G., & Middeldorp, C. M. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01621-8 · Cited by 22
Antipsychotic 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 61
“This hypothesis is based on the finding that NMDA receptor antagonists induce schizophrenia-like symptoms ( Moghaddam and Javitt, 2012 ), and that disturbances of NMDA and AMPA receptor-related gene expression are associated with schizophrenia ( Harrison and Weinberger, 2005 ; Singh et al., 2020 ).”
BackgroundSaarinen, A. I. L., Lyytikäinen, L., Hietala, J. A., Dobewall, H., Lavonius, V., Raitakari, O. T., Kähönen, M. A. P., Sormunen, E., Lehtimäki, T. J., & Keltikangas‐Järvinen, L. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01581-z · Cited by 25
“Recently, it has also been found that most schizophrenia patients may carry ultra-rare coding variants conveying a heightened risk for schizophrenia [9].”
BackgroundChronic presence of blood circulating anti-NMDAR1 autoantibodies impairs cognitive function in mice
Yue, W., Caldwell, S., Risbrough, V. B., Powell, S. B., & Zhou, X. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256972 · Cited by 17
“Recent human genetic studies further validated the central role of NMDAR functions in the development of schizophrenia [2, 3].”
BackgroundAnalysing an allelic series of rare missense variants of CACNA1I in a Swedish schizophrenia cohort
Báez-Nieto, D., Allen, A. S., Akers-Campbell, S., Yang, L., Budnik, N., Pupo, A., Shin, Y.-C., Genovese, G., Liao, M., Pérez‐Palma, E., et al. (2021) · Brain · doi:10.1093/brain/awab443 · Cited by 37
“(PTVs) of CACNA1I in a large cohort of schizophrenia patients recently published by the SCHEMA consortium.(10) Consistent with our findings, analysis of the SCHEMA findings identified 17”
BackgroundResultThe benefit of diagnostic whole genome sequencing in schizophrenia and other psychotic disorders
Alkelai, A., Greenbaum, L., Docherty, A. R., Shabalin, A. A., Povysil, G., Malakar, A., Hughes, D., Delaney, S. L., Peabody, E. P., McNamara, J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01383-9 · Cited by 22
“However, patients had significantly more ultra-rare variants in LoF-intolerant genes implicated by the SCHEMA study as schizophrenia candidate genes (p= 0.000073, OR= 8.31, 95% CI: 2.72–22.78), withstanding our study-wide correction for multiple testing.”
BackgroundInfluentialIlluminating links between cis-regulators and trans-acting variants in the human prefrontal cortex
Liu, S., Won, H., Clarke, D., Matoba, N., Khullar, S., Mu, Y., Wang, D., & Gerstein, M. (2022) · Genome Medicine · doi:10.1186/s13073-022-01133-8 · Cited by 18
Hidalgo, S., Campusano, J. M., & Hodge, J. J. L. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105394 · Cited by 20
“iants in the gene contributing substantial risk for the disease (Singh et al., 2020).”
BackgroundBauminger, H., & Gaisler‐Salomon, I. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158617 · Cited by 16
“In further support of the relevance of NMDAR dysfunction to cognitive abnormalities, genetic variation in the NMDAR subunit GRIN2A is a consistent finding in SZ patients [62,63] and GluN2B (GRIN2B) subunit genetic variation contributes to variability in cognitive function in SZ [64].”
BackgroundHyman, S. E. (2021) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2021.03.004 · Cited by 20
Understanding Regulatory Mechanisms of Brain Function and Disease through 3D Genome Organization
Liu, W., Zhong, W., Chen, J. C., Huang, B., Hu, M., & Li, Y. (2022) · Genes · doi:10.3390/genes13040586 · Cited by 11
Trio and Kalirin as unique enactors of Rho/Rac spatiotemporal precision
Grubisha, M. J., DeGiosio, R. A., Wills, Z. P., & Sweet, R. A. (2022) · Cellular Signalling · doi:10.1016/j.cellsig.2022.110416 · Cited by 16
Sefik, E., Duan, K., Li, Y., Sholar, B., Evans, L., Pincus, J. E., Ammar, Z., Murphy, M. M., Klaiman, C., Saulnier, C. A., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02584-8 · Cited by 11
“3q29Del confers an estimated >40-fold increased risk for SZ, which is one of the most robust and highest known effect sizes in the genetic landscape of this disorder (10, 33-37).”
Nudel, R., Appadurai, V., Buil, A., Nordentoft, M., & Werge, T. M. (2021) · Journal of Neurodevelopmental Disorders · doi:10.1186/s11689-021-09403-z · Cited by 12
Yamamoto, K., Kuriu, T., Matsumura, K., Nagayasu, K., Tsurusaki, Y., Miyake, N., Yamamori, H., Yasuda, Y., Fujimoto, M., Fujiwara, M., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01676-1 · Cited by 23
In vivo study sheds new light on the dendritic spine pathology hypothesis of schizophrenia
Li, W., Lv, L., & Luo, X. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01449-2 · Cited by 14
“First, genetic studies, including genomewide association studies (GWASs) [23, 24], transcriptome-wide association studies (TWASs) [25–27], and whole-exome sequencing [28, 29], frequently showed strong associations between synapse-associated genes and schizophrenia [23, 28, 30, 31].”
BackgroundDecision Models and Technology Can Help Psychiatry Develop Biomarkers
Barron, D. S., Baker, J. T., Budde, K. S., Bzdok, D., Eickhoff, S. B., Friston, K. J., Fox, P. T., Geha, P., Heisig, S., Holmes, A. J., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.706655 · Cited by 19
“, 22q11 or GRIN2A) and the relatively more common (though still quite rare) polygenic common risk loci (39).”
BackgroundEstimating the familial risk of psychiatric illnesses: A review of family history scores
Ali, F., Sreeraj, V. S., Nadella, R. K., Holla, B., Mahadevan, J., Ithal, D., Balachander, S., Viswanath, B., Venkatasubramanian, G., John, J. P., et al. (2021) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2021.102551 · Cited by 15
The nature of schizophrenia: As broad as it is long
Owen, M. J., & Legge, S. E. (2021) · Schizophrenia Research · doi:10.1016/j.schres.2021.10.012 · Cited by 10
Endosomal trafficking in schizophrenia
Plooster, M., Brennwald, P., & Gupton, S. L. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102539 · Cited by 12
Genome-wide significant risk loci for mood disorders in the Old Order Amish founder population
Humphries, E., Ahn, K., Kember, R. L., Lopes, F. L., Mocci, E., Peralta, J. M., Blangero, J., Glahn, D. C., Goes, F. S., Zandi, P. P., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02014-1 · Cited by 10
“Briefly, these gene sets were derived from the following sources: genes identified through GWAS of MDD(7), BD(8), SCZ(58), and neuroticism(59); genes identified through genetic association studies of rare variants, including exome and genome sequencing studies of SCZ(45), autism spectrum disorders (ASD) (46), or other…”
InfluentialKalirin as a Novel Treatment Target for Cognitive Dysfunction in Schizophrenia
Mould, A. W., Al‐Juffali, N., von Delft, A., Brennan, P. E., & Tunbridge, E. M. (2021) · CNS Drugs · doi:10.1007/s40263-021-00884-z · Cited by 11
“05 in data from the SCHEMA project [49]) are highlighted in red”
BackgroundBench Research Informed by GWAS Results
Kondratyev, N. V., Алфимова, М. В., Golov, A. K., & Голимбет, В. Е. (2021) · Cells · doi:10.3390/cells10113184 · Cited by 11
“Examples of traits for which this was observed include height [121], inflammatory bowel disease [122], type II diabetes [123] and schizophrenia [124].”
BackgroundBryois, J., Calini, D., Macnair, W., et al. (2021) · medRxiv · doi:10.1101/2021.10.09.21264604 · Cited by 9
Hara, T., Owada, Y., & Takata, A. (2022) · Journal of Human Genetics · doi:10.1038/s10038-022-01046-9 · Cited by 15
“In ASD, a number of disease-responsible single genes have already been identified [115], and such genes have recently begun to be discovered in schizophrenia [116].”
BackgroundDimitriadis, S. I., Perry, G., Foley, S. F., Tansey, K. E., Jones, D. K., Holmans, P., Zammit, S., Hall, J., O’Donovan, M. C., Owen, M. J., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01678-z · Cited by 8
Modeling schizophrenia with iPS cell technology and disease mouse models
Nakazawa, T. (2021) · Neuroscience Research · doi:10.1016/j.neures.2021.08.002 · Cited by 9
Engchuan, W., Shanta, O., Kumar, K., MacDonald, J. R., Thiruvahindrapuram, B., Hamdan, O., Klein, M., Maihofer, A. X., Guevara, J., Hong, O., et al. (2025) · medRxiv · doi:10.1101/2025.07.11.25331381 · Cited by 4
“Considering just one level of biological organization at a time, such as pathways, the patterns that emerge from PsychEncode, GWAS, WES and CNVs are dominated broadly by “functional convergence” that seemingly spans all diagnostic boundaries.”
Recent natural selection conferred protection against schizophrenia by non-antagonistic pleiotropy
González‐Peñas, J., de Hoyos, L., Díaz‐Caneja, C. M., Andreu-Bernabeu, Á., Stella, C., Gurriarán, X., Fañanás, L., Bobes, J., González-Pinto, A. M., Crespo‐Facorro, B., et al. (2023) · Scientific Reports · doi:10.1038/s41598-023-42578-0 · Cited by 7
Kim, M., Vo, D., Kumagai, M. E., Jops, C. T., & Gandal, M. J. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac786 · Cited by 7
Psychiatric manifestations of rare variation in medically actionable genes: a PheWAS approach
Feng, Y. A., Stanaway, I. B., Connolly, J. J., Denny, J. C., Luo, Y., Weng, C., Wei, W., Weiss, S. T., Karlson, E. W., & Smoller, J. W. (2022) · BMC Genomics · doi:10.1186/s12864-022-08600-x · Cited by 5
“Recently, two whole-exome studies of schizophrenia and bipolar, each with over 10,000 cases and 10,000 controls, began to identify significant risk genes with rare PTVs and damaging missense variants conferring a strong harmful effect on the disease and shed light on the underlying biology of the contribution of rare…”
BackgroundMajumdar, A., Patel, P., Paşaniuc, B., & Ophoff, R. A. (2021) · European Journal of Human Genetics · doi:10.1038/s41431-021-00996-6 · Cited by 10
“On the other hand, the approach of high-throughput sequencing in tens of thousands of individuals has identified rare and deleterious sequence variants contributing to neurodevelopmental disorders such as autism spectrum disorder [3] and schizophrenia [4].”
BackgroundDetera‐Wadleigh, S. D., Kassem, L., Besancon, E., Lopes, F. L., Akula, N., Sung, H., Blattner, M., Sheridan, L., Lacbawan, L. N., Garcia, J., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02641-w · Cited by 8
“In addition, rare SNVs and indels have been revealed in ASD, BD and SCZ [16 – 19].”
BackgroundMethodFatima, A., Abdullah, U., Farooq, M., Mang, Y., Mehrjouy, M. M., Asif, M., Ali, Z., Tommerup, N., & Baig, S. M. (2021) · Genes · doi:10.3390/genes12121899 · Cited by 7
Transcriptional regulation of neonatal neural stem cells is a determinant of social behaviorPreprint
Hiramoto, T., Boku, S., Kang, G., Abe, S., Silva, M. B. E., Tanigaki, K., Nagashima, M., Ye, K. Q., Yamauchi, T., Michurina, T. V., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.11.12.468452 · Cited by 3
“We next asked whether our pool of TBX1-bound genes is involved in ASD ( Table S1-3 ) and developmental brain disorders ( Table S1-4) .”
BackgroundInfluentialMahjani, B., Klei, L., Mattheisen, M., et al. (2021) · medRxiv · doi:10.1101/2021.01.26.21250409 · Cited by 6
Detecting differential transcript usage in complex diseases with SPIT
Erdogdu, B., Varabyou, A., Hicks, S., et al. (2023) · bioRxiv · doi:10.1101/2023.07.10.548289 · Cited by 5
“11-13 Genetic causes of schizophrenia have long been studied, however, a clear consensus on the level of genetic liability or the acting set of causal events has not been reached to this day.”
Guo, A., Lun, P., Chen, J., Li, Q., Chang, K., Li, T., Pan, D., Zhang, J., Zhou, J., Wang, K., et al. (2022) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000321 · Cited by 6
“…od ds r at io s; P ol yP he n2, p ol ym or ph ic p he no ty pe v 2; S IF T, in to le ra nt v s. to le ra nt ; S N P, s in gl e nu cl eo tid e po ly m or ph is m . senescence, apoptosis, neural migration/spreading, and neurodegeneration (Gan and Guan, 2008; Liang et al., 2010; Wang et al., 2013).”
BackgroundRare schizophrenia risk variant burden is conserved in diverse human populationsPreprint
Liu, D.-J., Meyer, D., Fennessy, B., Feng, C., Cheng, E., Johnson, J. S., Park, Y. J., Rieder, M., Ascolillo, S., de Pins, A., et al. (2022) · medRxiv · doi:10.1101/2022.01.03.22268662 · Cited by 5
“A recent landmark schizophrenia study of the protein-coding regions of the genome identified a causal role for ten genes and a concentration of rare variant signals in evolutionarily constrained genes 1 .”
BackgroundResultSelf-citationSex-dependent effects of Setd1a haploinsufficiency on development and adult behaviour
Bosworth, M. L., Isles, A. R., Wilkinson, L. S., & Humby, T. (2024) · PLoS ONE · doi:10.1371/journal.pone.0298717 · Cited by 4
Caregiver Perspectives on a Child's Diagnosis of 3q29 Deletion: “We Can't Just Wish This Thing Away”
Glassford, M. R., Purcell, R. H., Pass, S., Murphy, M. M., The Emory 3q29 Project, *., Bassell, G. J., & Mulle, J. G. (2021) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000977 · Cited by 9
Sefik, E., Guest, R., Aberizk, K., España, R., Goines, K., Novacek, D., Murphy, M. M., Goldman-Yassen, A., Cubells, J., Ousley, O., et al. (2022) · medRxiv · doi:10.1101/2022.03.03.22271848 · Cited by 4
Morikawa, R., Watanabe, Y., Igeta, H., Arta, R. K., Ikeda, M., Okazaki, S., Hoya, S., Saito, T., Otsuka, I., Egawa, J., et al. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114481 · Cited by 4
Curtis, D. (2025) · Acta Neuropsychiatrica · doi:10.1017/neu.2025.10025 · Cited by 3
Pinakhina, D. V., Loboda, A., Sergushichev, A., & Artomov, M. (2023) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2023.100203 · Cited by 3
Identification of specific genes involved in schizophrenia aetiology – what difference does it make?
Curtis, D. (2022) · The British Journal of Psychiatry · doi:10.1192/bjp.2021.153 · Cited by 4
Wilkinson, I. D., Mahmood, T., Yasmin, S. F., Tomlinson, A., Nazari, J., Alhaj, H. A., el din, S. N., Neill, J. C., Pandit, C., Ashraf, S., et al. (2022) · Psychological Medicine · doi:10.1017/s0033291721005250 · Cited by 5
“Additionally, the underlying risk allele is likely to be rare in the general population, which may limit generalisability, although there is evidence of some overlap in genes showing common and rare genetic associations in schizophrenia (Ripke et al., 2020; Singh et al., 2020).”
BackgroundSchizophrenia: genetic insights with clinical potential
Smeland, O. B., & Andreassen, O. A. (2022) · Nature Reviews Neurology · doi:10.1038/s41582-021-00613-6 · Cited by 3
Lage, K., Pintacuda, G., Hsu, Y.-H., et al. (2021) · medRxiv · doi:10.1101/2021.10.07.21264575 · Cited by 3
“Common variant enrichment analysis GWAS summary statistics for ASD (49), ADHD (57), BIP (58), MDD (59), and SCZ (60) were downloaded from the Psychiatric Genomics Consortium (www.med.unc.edu/pgc/downloadresults/).”
BackgroundMethodInfluentialUsing brain cell-type-specific protein interactomes to interpret genetic data in schizophrenia
Hsu, Y.-H. H., Nacu, E., Liu, R., et al. (2021) · medRxiv · doi:10.1101/2021.10.07.21264568 · Cited by 3
“, the probability of being loss-of-function intolerant, where genes under strong genetic selection have higher pLI scores) and BrainSpan (17) expression to schizophrenia risk genes from the recent Schizophrenia Exome Sequencing Meta-Analysis (SCHEMA) study (15).”
BackgroundSelf-citationArta, R. K., Watanabe, Y., Inoue, E., Nawa, Y., Morikawa, R., Egawa, J., Kushima, I., Igeta, H., Hoya, S., Sugimoto, A., et al. (2021) · Research in Autism · doi:10.1016/j.rasd.2021.101729 · Cited by 4
Curtis, D. (2024) · PLoS ONE · doi:10.1371/journal.pone.0311827 · Cited by 4
Cognitive Impact by Blood Circulating Anti-NMDAR1 Autoantibodies
Zhou, X. (2021) · Journal of Psychiatry and Brain Science · doi:10.20900/jpbs.20210009 · Cited by 3
Tian, R., Ge, T., Liu, J. Z., Lam, M., Biogen Biobank team, Levey, D. F., Gelernter, J. E., Stein, M. B., Tsai, E. A., Huang, H., et al. (2021) · medRxiv · doi:10.1101/2021.05.04.21256398 · Cited by 1
Chen, M., Wang, W., Song, W., Qian, W., & Lin, G. N. (2021) · Life · doi:10.3390/life11020172 · Cited by 2
“The Schizophrenia Exome Sequencing Meta-analysis (SCHEMA) consortium made an extensive effort to identify 10 exome-wide significant genes, with 24,248 cases and 97,322 controls [9].”
MethodGenetic insights on the mechanisms of human cortical foldingPreprint
Snyder, W., Shafee, R., Liu, S., Levitis, E., Duan, K., Kumar, K., Schleifer, C. H., Bøen, R., Ching, C. R. K., Han, J. C., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.06.709690 · Cited by 2
“These gene rankings were subjected to gene-set enrichment analysis (GSEA) 92 on fetal cell types 94 , cellular compartments 151 , and disease 95,96,152–155 gene ontologies as compiled in Wagstyl et al. 105”
Valone, J. M., Le, B. D., Matoba, N., Mory, J. T., Wolter, J. M., Love, M. I., & Stein, J. L. (2026) · Molecular Psychiatry · doi:10.1038/s41380-026-03578-4 · Cited by 1
Detecting differential transcript usage in complex diseases with SPIT
Erdogdu, B., Varabyou, A., Hicks, S. C., Salzberg, S. L., & Pertea, M. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100736 · Cited by 5
Early-onset schizophrenia is associated with immune-related rare variants in a Chinese samplePreprint
Zhong, Y., Tubbs, J. D., Leung, P. B. M., Zhan, N., Hui, T. C. K., Ho, K. K. Y., Hung, K. S. Y., Cheung, E. F. C., So, H., Lui, S. S. Y., et al. (2023) · medRxiv · doi:10.1101/2023.11.21.23298115 · Cited by 2
“Second, our Chinese sample differed in ancestry from the previous sample (Singh et al., 2020).”
BackgroundResultInfluentialStella, C., Díaz‐Caneja, C. M., Penzol, M. J., García-Alcón, A., Solís, A., Andreu-Bernabeu, Á., Gurriarán, X., Arango, C., Parellada, M., & González‐Peñas, J. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1072563 · Cited by 1
“…is a consistent overlap across genes disrupted by de novo rare variation in schizophrenia and ASD (Kenny et al., 2014; Satterstrom et al., 2020; Singh et al., 2020), shared common variation between both phenotypes has been reported to be chiefly restricted to high functioning autism…”
BackgroundWang, S., Wang, B. L., Drury, V., Drake, S., Sun, N., Alkhairo, H., Arbelaez, J., Duhn, C., Genetics), T. I. C. G. (., Bal, V. H., et al. (2022) · medRxiv · doi:10.1101/2022.09.22.22280248 · Cited by 1
Sanders, B., D'Andrea, D., Collins, M., et al. (2020) · bioRxiv · doi:10.1101/2020.01.10.898676 · Cited by 1
Sefik, E., Guest, R., Aberizk, K., et al. (2023) · Stimulus A Medical Humanities Journal · doi:10.32855/stimulus.2023.03.024
Metadata
- Authors
- Singh, T., Neale, B. M., & Daly, M. J.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Singh, Tarjinder
- Neale, Benjamin M.
- Daly, Mark J.
- Venue
- Nature
- Publisher
- openRxiv
- Published
- 2020-09-18
- Volume
- 604
- Issue
- 7906
- Pages
- 509-516
- ISSN
- 0028-0836 (ISSN-L)
- PMC
- PMC9805802
- OpenAlex
- W4223433728
- Semantic Scholar
- 0700d2bf8e5a7f57f262a574f1d6005795936054
- Cited by
- 980
- References
- 78
- Citations by year
- 2026: 156 · 2025: 214 · 2024: 220 · 2023: 197 · 2022: 138 · 2021: 53 · 2020: 1
- FWCI
- 125.63
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by
- 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, HG007022)
- 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
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