Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
Open accessAbstract
Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 27 cited sources checked · 0 supported · 0 flagged
- Findingown data
These combined results are more significant than those observed in any of the disorders analyzed alone.
“These results are more significant than those observed in any of the disorders analyzed alone.”
Quote in the paperSubstantial claim - Findingown data
Three other modules predominantly contain immunological and neuronal signaling and synapse genes whose expression increases in childhood and plateaus around adolescence to late adulthood.
“Three other modules predominantly contain immunological and neuronal signaling and synapse genes whose expression increases in childhood and plateaus around adolescence to late adulthood (blue, brown, turquoise);”
Quote in the paperNot a substantial claim - Findingown data
Combining pathway-specific P values across the three adult disorders, schizophrenia, bipolar disorder and major depressive disorder, resulted in greatly increased significance compared to analyses of the separate disorders.
“Notably, combining the pathway-specific P values across the three ‘adult’ disorders in our primary meta-analysis (SCZ, BIP and MDD) resulted in greatly increased significance compared to the analyses of the separate disorders.”
Quote in the paperSubstantial claim - Findingown data
In the combined analysis across three adult psychiatric disorders, histone methylation processes had the strongest association.
“Histone methylation processes showed the strongest association”
- Also stated in: § Top pathways shared across adult psychiatric disorders · plain
“the top pathway (GO:51568: histone H3-K4 methylation) having a q = 0.0003”
Quote in the paperSubstantial claim - Also stated in: § Top pathways shared across adult psychiatric disorders · plain
- Findingown data
There was a significant degree of correlation of pathway-specific enrichment P values between disorders, with Pearson correlation 0.2-0.3.
“There was a significant degree of correlation of pathway-specific enrichment P values between disorders (Pearson correlation 0.2–0.3, Supplementary Table 4).”
Quote in the paperSubstantial claim
- Findingown data
Pathways involved in methylation of other molecules, such as DNAs, were not highly enriched in this study.
“We note that pathways involved in the methylation of other molecules, such as DNAs, were not highly enriched in this study”
Quote in the paperNot a substantial claim - Findingown data
Out of 797 genes assessed, 294, representing 32-37% of each branch from Figure 3, were coexpressed in 7 modules.
“Out of 797 genes assessed, 294 (32–37% of each branch from Fig. 3) were coexpressed in 7 modules.”
Quote in the paperSubstantial claim- Rests on an assumption: Gene expression data spanning brain regions and developmental time points can be used to place pathways in a specific neurobiological context.
- Findingown data
Three other modules are relatively highly expressed throughout life with about 75% maximum difference in expression between regions.
“three other modules are relatively highly expressed throughout life with ~75% maximum difference in expression between regions (green, black and red modules).”
Quote in the paperNot a substantial claim - Findingown data
The five pathway analysis methods were significantly correlated with each other.
“Overall, methods were significantly correlated with each other (see Supplementary Fig. 1 and Supplementary Table 3).”
- Also stated in: § Comparisons among methods · plain
“Using both disorder data (SCZ) and null data (permuted phenotypes), we noted a statistically significant degree of overlap among methods (Supplementary Fig. 1).”
- Also stated in: § DISCUSSION · plain
“Notably, despite these differences, all of these methods yielded pathway rankings that were correlated with each other (Supplementary Table 5).”
Quote in the paperSubstantial claim - Also stated in: § Comparisons among methods · plain
- Findingown data
Histone H3-K4 methylation featured among top bipolar hits, achieving study-wide significance with q = 0.005.
““Histone H3-K4 methylation” featured among top bipolar hits, achieving study-wide significance (q = 0.005).”
Quote in the paperSubstantial claim - Findingown data
Other modules did not exhibit strong cell type specificity.
“Other modules did not exhibit strong cell type specificity”
Quote in the paperNot a substantial claim - Findingown data
Genes in the yellow module exhibit over threefold higher average expression during early prenatal development, postconception weeks 13-24, than during postnatal development or later aging.
“Genes in this module exhibit over threefold higher average expression during early prenatal development (postconception week (PCW) 13–24) than during postnatal development or later aging”
Quote in the paperSubstantial claim - Findingown data
Overlap between the six gene set resources was minimal, with R2 < 0.12.
“Overlap, measured by correlation between gene content across pathways, between the six gene set resources were minimal (R2 < 0.12).”
Quote in the paperSubstantial claim - Findingown data
Disease-to-disease correlations in pathway-specific enrichment P values exceeded those seen with the null or HIV data sets.
“However, correlations between the diseases with respect to the pathway-specific enrichment P values were higher than those with the null or HIV (see Supplementary Tables 5 and 14), suggesting that the interdisease correlation is not simply a function of methodological correlation.”
Quote in the paperSubstantial claim - Findingown data
Key immune processes such as TGF-beta_signaling, B_cell_activation and T_cell_activation feature highly in our significant pathways.
“Despite this, key immune processes such as TGF-beta_signaling (P00052), B_cell_activation (P00010) and T_cell_activation (P00053) feature highly in our significant pathways.”
Quote in the paperSubstantial claim - Findingown data
Combining SCZ with HIV and the null data set produced no pathway significant after multiple-testing correction.
“Finally, when SCZ was combined with HIV (not expected to share common biology with SCZ) and the null data set, no pathway was significant after multiple testing correction, as expected.”
Quote in the paperSubstantial claim - Findingown data
The blue module's expression pattern is similar across regions.
“Additionally, the blue module’s expression pattern is similar across regions”
Quote in the paperNot a substantial claim - Findingown data
For major depressive disorder, GO:8601 (protein phosphatase Type 2A regulator activity) reached significance after multiple-testing correction, with q = 0.012.
“When the diseases were tested separately, one pathway was significant after correction for multiple testing in BIP (GO:51568: histone H3-K4 methylation, q = 0.005) and MDD (GO:8601: protein phosphatase Type 2A regulator activity, q = 0.012).”
Quote in the paperNot a substantial claim - Findingown data
For bipolar disorder, GO:51568 (histone H3-K4 methylation) reached significance after multiple-testing correction, with q = 0.005.
“When the diseases were tested separately, one pathway was significant after correction for multiple testing in BIP (GO:51568: histone H3-K4 methylation, q = 0.005) and MDD (GO:8601: protein phosphatase Type 2A regulator activity, q = 0.012).”
Quote in the paperSubstantial claim - Findingown data
KEGG infectious disease pathways featured at suggestive significance.
“KEGG infectious disease pathways also featured at suggestive significance.”
Quote in the paperNot a substantial claim - Findingown data
We found pathway genome-wide association across schizophrenia, bipolar disorder and major depressive disorder with histone methylation rather than DNA methylation processes via Histone H3-K4 methylation (GO:51568), Histone methylation (GO:16571), Histone lysine methylation (GO:34968) and Macromolecule methylation (GO:43414).
“We also found pathway genome-wide association across SCZ, BIP and MDD with histone methylation (rather than DNA methylation) processes via Histone H3-K4 methylation (GO:51568), Histone methylation (GO:16571), Histone lysine methylation (GO:34968) and Macromolecule methylation (GO:43414).”
Quote in the paperSubstantial claim - Findingown data
The null data set's pathway enrichment P values correlated with each of the five disease data sets at values between 0.111 and 0.156, averaging 0.132.
“Initially, Pearson correlation coefficients were calculated between the pathway-specific enrichment P values of the null data set and each of the five disease data sets in turn. These correlations lay between 0.111 and 0.156, with a mean of 0.132.”
Quote in the paperSubstantial claim - Findingown data
For major depressive disorder alone the top pathway was protein phosphatase type 2A regulator activity, which achieved a q-value of 0.012.
“For MDD alone the top pathway was “protein phosphatase type 2A regulator activity,” which achieved a q-value of 0.012.”
Quote in the paperNot a substantial claim - Premisecitation
There is clear evidence of shared genetic risk at individual loci across psychiatric disorders.
“has also shown clear evidence of shared genetic risk at individual loci3”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Cross-Disorder Group of the Psychiatric Genomics Consortium et al. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371–1379 (2013). source
Not checked in the free run.
- Interpretationown data
Genetic risk across neuro-psychiatric disorders affects neurodevelopmentally regulated pathways.
“suggesting that genetic risk across neuro-psychiatric disorders affects neurodevelopmentally regulated pathways”
Quote in the paperSubstantial claim - Premisecitation
Analyses of bipolar disorder provided evidence of association with hormone action and adherens junctions.
“Analyses of bipolar disorder provided evidence of association with hormone action and adherens junctions7,9,10”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [7] Baranzini, S.E. et al. Pathway and network-based analysis of genome-wide association studies in multiple sclerosis. Hum. Mol. Genet. 18, 2078–2090 (2009). source
Not checked in the free run.
- cites [9] Holmans, P. et al. Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder. Am. J. Hum. Genet. 85, 13–24 (2009). source
Not checked in the free run.
- cites [10] O'Dushlaine, C. et al. Molecular pathways involved in neuronal cell adhesion and membrane scaffolding contribute to schizophrenia and bipolar disorder susceptibility. Mol. Psychiatry 16, 286–292 (2011). source
Not checked in the free run.
- Interpretationown data
The significant pathway enrichments in Table 2 are due to shared biology across all three disorders, rather than being driven by enrichments in any single disorder.
“This gives further evidence that the significant pathway enrichments in Table 2 are due to shared biology across all three disorders, rather than being driven by enrichments in any single disorder.”
Quote in the paperSubstantial claim - Premisenone given
Gene-expression approaches to psychiatric disorders are subject to potential confounding by downstream effects of the disorders and their treatment.
“such approaches are subject to potential confounding by the downstream effects of disorders and their treatment”
Quote in the paperSubstantial claim - Interpretationown data
Risk variants for psychiatric disorders aggregate in particular biological pathways.
“Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways”
Quote in the paperSubstantial claim - Interpretationown data
The lack of enrichment of DNA methylation pathways suggests a degree of specificity in the nature of methylation gene sets implicated here.
“suggesting a degree of specificity in the nature of methylation gene sets implicated here”
Quote in the paperNot a substantial claim - Interpretationreasoning
The turquoise module's enrichment for Cnp+ myelinating oligodendrocytes suggests its involvement in white matter maturation.
“suggesting its involvement in white matter maturation”
Quote in the paperSubstantial claim - Interpretationown data
These biological pathways are frequently shared between psychiatric disorders.
“and that these pathways are frequently shared between disorders”
Quote in the paperSubstantial claim - Interpretationown data
The combined P values across disorders showed marked enrichment of significant P values, indicative of shared disease biology captured by the pathways tested.
“The former plots show a marked enrichment of significant P values, indicative of shared disease biology captured by the pathways tested.”
Quote in the paperSubstantial claim - Premisecitation
A considerable proportion of the heritability of psychiatric disorders is attributable to common genetic variants.
“recent work by the Psychiatric Genomics Consortium (PGC) using genome-wide association study (GWAS) data has demonstrated that a considerable proportion of this heritability is attributable to common genetic variants2”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Lee, S.H. et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat. Genet. 45, 984–994 (2013). source
Not checked in the free run.
- Premisereasoning
Pathway analysis can separate true signals among loci with nominal significance from noise.
“Pathway analysis provides a way to separate the true signals among these loci from the noise”
Quote in the paperSubstantial claim - Premisenone given
Summary data are available for PGC phase 1 studies comprising more than 60,000 participants representing schizophrenia, major depressive disorder, bipolar disorder, autism-spectrum disorder and attention deficit-hyperactivity disorder.
“Summary data are now available for PGC phase 1 studies that comprise >60,000 study participants representing schizophrenia (SCZ), major depressive disorder (MDD), bipolar disorder (BIP), autism-spectrum disorder (ASD) and attention deficit–hyperactivity disorder (ADHD).”
Quote in the paperSubstantial claim - Interpretationown data
Histone genes primarily function during neuronal differentiation and cell-fate commitment.
“consistent with histone genes primarily functioning during neuronal differentiation and cell-fate commitment”
Quote in the paperSubstantial claim - Interpretationown data
The gene network analysis revealed modules of coexpressed genes that identify developmental time points and brain regions that may inform future experiments aimed at manipulating the identified pathways.
“Our gene network analysis of how the identified pathways are expressed in brain revealed modules of coexpressed genes that identify developmental time points and brain regions that may inform future experiments aimed at manipulating the identified pathways (Fig. 4).”
Quote in the paperSubstantial claim - Interpretationown data
Our results suggest that dysregulation of the genes in histone methylation pathways is a common etiological mechanism for adult psychiatric disorders.
“Our results suggest that dysregulation of the genes in histone methylation pathways is a common etiological mechanism for adult psychiatric disorders.”
Quote in the paperSubstantial claim - Premisecitation
Variable H3-K4 methylation of synapsin genes has been shown to give rise to altered expression patterns in bipolar disorder and major depression.
“Variable H3-K4 methylation of synapsin genes has been shown to give rise to altered expression patterns in bipolar disorder and major depression29”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] Cruceanu, C. et al. H3K4 tri-methylation in synapsin genes leads to different expression patterns in bipolar disorder and major depression. Int. J. Neuropsychopharmacol. 16, 289–99 (2013). source
Not checked in the free run.
- Study design and conductreasoning
Ranks were used to control for differing statistical power among the five methods.
“Ranks were used to control for differing power of each method.”
Quote in the paperSubstantial claim - Study design and conductreasoning
We excluded the schizophrenia-associated MHC region of 6p21-22 in our analysis to avoid confounding of methods by the very high levels of linkage disequilibrium at this locus.
“We excluded the schizophrenia-associated MHC region of 6p21–22 in our analysis to avoid confounding of methods by the very high levels of linkage disequilibrium at this locus.”
Quote in the paperSubstantial claim - Premisecitation
Among the five psychiatric disorders, SCZ, BIP, and MDD show the strongest genetic relationship in a recent GWAS-based pairwise analysis.
“Our primary analysis sets consisted of the samples for the adult disorders of schizophrenia (SCZ), bipolar disorder (BIP) and major depressive disorder (MDD) as these three have the highest genetic relationship in the recent pair-wise analysis of the five psychiatric disorders using GWAS data2.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [2] Lee, S.H. et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat. Genet. 45, 984–994 (2013). source
Not checked in the free run.
- Study design and conductown data
The rank-based method and its findings remain stable when the modeled inter-method correlations are varied.
“However, the analysis method and results are robust to variation in these correlations (Supplementary Tables 15 and 16).”
Quote in the paperNot a substantial claim - Interpretationown data
The blue module's hub genes suggest both intracellular and intercellular signaling processes.
“and the hub genes suggest both intracellular and intercellular signaling processes”
Quote in the paperNot a substantial claim - Interpretationown data
The procedure of ranking pathways within each method and then averaging those ranks introduces some correlation in pathway ranks between data sets.
“This indicates that ranking pathways within methods and calculating the average rank across methods induces some correlation between pathway ranks between data sets.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Because ALIGATOR and INRICH only produce a P value when a pathway has at least two significant genes, small pathways tend to receive low ranks for these methods across most data sets.
“For example: ALIGATOR and INRICH only return a P value if a pathway contains at least two significant genes, otherwise the pathway was assigned equal bottom rank. Thus, small pathways are likely to have low ranks for these methods in most data sets.”
Quote in the paperNot a substantial claim - Interpretationcitation
Epigenetic regulatory mechanisms may play a role in the etiology of mood disorders.
“which may suggest a role for epigenetic regulatory mechanisms in the etiology of mood disorders”
Quote in the paperSubstantial claim
- May combine two claims. 37
- Classified as probably not a substantial claim. 29
May combine two claims.
Findingown dataSynapse-related as well as newly implicated histone methylation and immune and neuronal signaling pathways are statistically significantly associated within and across schizophrenia, bipolar disorder and major depressive disorder.
“We show that synapse-related as well as newly implicated histone methylation and immune and neuronal signaling pathways are statistically significantly associated within and across SCZ, BIP and MDD.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe pathways separate in multidimensional space and reveal two distinct branches for neuronal synapse- and histone methylation-related gene sets, with a third branch containing pathways with genes sharing immune or neurotrophic functional annotation.
“The pathways separate in multidimensional space and reveal two distinct branches for neuronal synapse– and histone methylation– related gene sets, with a third branch containing pathways with genes that share membership in pathways with immune or neurotrophic functional annotation (Fig. 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe yellow module is similarly expressed across regions and contains half, 19 of 37, of the coexpressed histone methylation genes.
“Of note, the yellow module is similarly expressed across regions and contains half (19/37) of the coexpressed histone methylation genes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataTwo modules containing immune-neuronal signaling and synapse genes that plateau in expression in maturing brain exhibited cell type enrichment, with the brown module enriched for striatal neurons, particularly Drd1+ medium spiny neurons, and the turquoise module enriched for Cnp+ myelinating oligodendrocytes.
“Two of the modules containing immune-neuronal signaling and synapse genes that plateau in expression in maturing brain also exhibited cell type enrichment, with the brown module enriched for striatal neurons, particularly Drd1+ medium spiny neurons, and the turquoise module enriched for Cnp+ myelinating oligodendrocytes,”
Quote in the paperSubstantial claim- Rests on an assumption: Mouse cell type gene lists can be used to infer human cell type–specific patterns.
May combine two claims.
Findingown dataThe null and HIV plots showed no enrichment of P values, indicating lack of shared biology and no systematic inflation of significance.
“The null and HIV plots shows no enrichment of P values, indicating both that there is a lack of shared biology (as expected) and that our analysis does not cause a systematic inflation of significance.”
Quote in the paperSubstantial claim- The authors state this as an assumption: HIV does not share significant disorder etiology with psychiatric disorders.
May combine two claims.
Findingown dataOf the 49 pathways, 16 are significant at q < 0.05, with the top pathway GO:51568 histone H3-K4 methylation having q = 0.0003.
“Of these, 16 are significant at q < 0.05, with the top pathway (GO:51568: histone H3-K4 methylation) having a q = 0.0003 (Table 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere is statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density.
“we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe degree of rank correlation between pathways across pairs of disorders was significant, with 49 pathways with combined q-value <0.1 spanning the three adult disorders.
“The degree of rank correlation between pathways across pairs of disorders was significant (Supplementary Tables 4 and 6), with 49 pathways with combined q-value <0.1 spanning the three adult disorders (Table 2, Supplementary Table 7).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWe identified 10, 1 and 4 pathways suggestively enriched at FDR q-value <0.1 with bipolar disorder, schizophrenia and major depressive disorder susceptibility alleles, respectively.
“We identified 10, 1 and 4 pathway(s) that are suggestively enriched (at an FDR q-value <0.1) with BIP, SCZ and MDD susceptibility alleles, respectively (Table 1).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe most significant pathway from the previous PGC Cross Disorder SNP-based meta-analysis, GO:0005262 calcium channel activity, showed nominally significant association in our pathway-level meta-analysis across all five disorders (P = 3.13 × 10−3) and also in schizophrenia, major depressive disorder and bipolar disorder (P = 8.07 × 10−3).
“the most significant pathway (GO:0005262, calcium channel activity) from the previous PGC Cross Disorder group SNP-based meta-analysis GWAS3 across the five disorders was found to show nominally significant association in our pathway level meta-analysis across all five disorders (P = 3.13 × 10−3) and also in SCZ, MDD and BIP (P = 8.07 × 10−3).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Cross-Disorder Group of the Psychiatric Genomics Consortium et al. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371–1379 (2013). source
Not checked in the free run.
May combine two claims.
Findingown dataNo pathways showed significant enrichment in the null data set or HIV data set, and the schizophrenia, HIV and null data sets combined analysis gave no significant pathways after multiple-testing correction, with minimum q-value = 0.454.
“As expected, no pathways showed significant enrichment in the null data set or HIV data set, and the SCZ, HIV and null data sets combined analysis (Supplementary Table 8) gave no significant pathways after multiple-testing correction (minimum q-value = 0.454), in contrast to the results for SCZ, MDD and BIP shown in Table 2.”
Quote in the paperSubstantial claim- The authors state this as an assumption: HIV does not share significant disorder etiology with psychiatric disorders.
May combine two claims.
FindingreasoningThe strongest correlations were observed between the most similar methods: FORGE and SETSCREEN, and ALIGATOR and INRICH.
“As expected, the strongest correlations were observed between the most similar methods: FORGE and SETSCREEN, and ALIGATOR and INRICH.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataExpression patterns of coexpressed gene modules are predominantly driven by temporal regulation, with four modules showing greater than twofold temporal change and only one module showing a twofold change between regions.
“These expression patterns are predominantly driven by temporal regulation (four modules have greater than twofold temporal change, while only one module, green, shows a twofold change between regions, Supplementary Table 9)”
Quote in the paperSubstantial claim- Rests on an assumption: Gene expression data spanning brain regions and developmental time points can be used to place pathways in a specific neurobiological context.
May combine two claims.
Findingown dataAmong individual disorders, bipolar disorder, schizophrenia, major depressive disorder and ADHD gave significant results at FDR q < 10%, but autism-spectrum disorder and HIV did not.
“Among individual disorders, BIP, SCZ, MDD and ADHD gave significant results at FDR q < 10%, but ASD and HIV did not (Table 1 and Supplementary Table 4).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the all-five-disease combination, GO:51568 stayed significant at q = 0.045, but its significance dropped because ADHD and ASD showed no enrichment.
“When all five diseases were combined, GO:51568 was still significant (q = 0.045), although its significance was reduced due to lack of enrichment in ADHD or ASD.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataCombining the three adult diseases yielded 15 pathways significant at q < 0.05, and GO:51568 had a q-value of 0.0005.
“When the three adult diseases were combined, 15 pathways were significant at q < 0.05, with the top pathway (GO:51568: histone H3-K4 methylation) having a q-value of 0.0005.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataKruskal-Wallis and Mann-Whitney U-tests show that many smaller spatial and temporal differences are statistically significant.
“though statistical analysis of spatial and temporal patterns with Kruskal-Wallis tests and pairwise Mann-Whitney U-tests demonstrates many smaller differences are significant (due to the large sample size).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAll pairwise correlations among the five diseases (ADHD, ASD, BIP, MDD, SCZ) were nominally significant, whereas correlations between these diseases and HIV or the null data set were not, with the exception of HIV-MDD, which was nominally significant but probably a multiple-testing artifact.
“Correlation coefficients in the actual data were nominally significant for all pairs of the five diseases of interest (ADHD, ASD, BIP, MDD, SCZ), but not between these diseases and HIV or the null data set (with the exception of the HIV-MDD correlation, which was nominally significant but is likely to be an artifact of multiple testing).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataOther approaches to assessing regional and temporal differences produced patterns similar to those in Figure 4b.
“In general, alternative methods for evaluating regional and temporal differences (for example, correlations with regional indicator variables, ANOVA with regions as factors) yielded similar patterns as those seen in Figure 4b.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataVarying the WGCNA parameters still yielded similar coexpression modules.
“Similar modules were found with variations on these parameters.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataNo pathway reached q < 0.05 in the remaining diseases or in the null data set.
“No pathway achieved q < 0.05 in the other diseases (or the null data set).”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataUsing the average of the best four ranks in a secondary analysis barely changed the findings.
“However, this had little effect on the results (see Supplementary Analysis and Supplementary Tables 12 and 13).”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationStrong independent support of our findings comes from the observation that analyses of rare variants have also implicated postsynaptic pathways in schizophrenia etiology, suggesting that both rare and common variants are relevant.
“We note that strong, independent support of our findings comes from the observation that analyses of rare variants have also implicated postsynaptic pathways in SCZ etiology23,24, suggesting that both rare and common variants are relevant.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [23] Kirov, G. et al. De novo CNV analysis implicates specific abnormalities of postsynaptic signalling complexes in the pathogenesis of schizophrenia. Mol. Psychiatry 17, 142–153 (2012). source
Not checked in the free run.
- cites [24] 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.
May combine two claims.
Interpretationown dataThe most significant pathway from the PGC cross-disorder analysis, GO:0005262 calcium channel activity, also showed nominally significant enrichment in our analysis, confirming a role for calcium channel activity in these disorders.
“We note that the most significant pathway identified from the PGC cross-disorder analysis3 (GO:0005262, calcium channel activity) also showed nominally significant enrichment in our analysis, confirming a role for calcium channel activity in these disorders.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Cross-Disorder Group of the Psychiatric Genomics Consortium et al. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371–1379 (2013). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationActivity of voltage-gated calcium ions was implicated in a pathway analysis of a bipolar disorder GWAS data set.
“Activity of voltage-gated calcium ions was also implicated in a pathway analysis of a bipolar disorder GWAS data set11”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Psychiatric GWAS Consortium Bipolar Disorder Working Group. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4. Nat. Genet. 43, 977–983 (2011). source
Not checked in the free run.
Classified as probably not a substantial claim.
Premisenone givenGenome-wide association studies of psychiatric disorders have found multiple genetic associations with those disorders.
“Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataHistone methylation appears to play a more prominent role in bipolar disorder, and synapse- and postsynapse-related processes are more strongly implicated in the etiology of schizophrenia.
“Our results suggest that histone methylation appears to play a more prominent role in bipolar disorder and that synapse- and postsynapse-related processes are more strongly implicated in the etiology of schizophrenia (Table 1).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationGenetic pathway analysis methods for GWAS data aim to identify which biological pathways show an excess of etiological association.
“Genetic pathway analysis methods for GWAS data have been developed5,6 and aim to identify which biological pathways show an excess of etiological association”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] Nam, D. & Kim, S.Y. Gene-set approach for expression pattern analysis. Brief. Bioinform. 9, 189–197 (2008). source
Not checked in the free run.
- cites [6] Ackermann, M. & Strimmer, K. A general modular framework for gene set enrichment analysis. BMC Bioinformatics 10, 47 (2009). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Interpretationown dataThe lack of strong cell type specificity in other modules suggests that either they affect multiple cell lineages or the matching cell type profile has yet to be defined.
“suggesting that either they affect multiple cell lineages (for example, the yellow module) or the matching cell type profile has yet to be defined”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe pathway analyses described here do not require the same SNP or gene within a pathway to be implicated across disorders, so they are more robust to allelic heterogeneity within genes and within pathways across disorders.
“Importantly, the pathway analyses described here do not require the same SNP (or, indeed, gene) within a pathway to be implicated across disorders, so they will be more robust to allelic heterogeneity within genes and within pathways across disorders,”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationPathway analysis can translate GWAS signals into biochemical and/or system-wide understanding and can provide successful replication in the presence of allelic and locus heterogeneity.
“pathway analysis can translate GWAS signals into a level of understanding that is biochemical and/or system-wide and can provide successful replication in the presence of allelic and locus heterogeneity7,8”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [7] Baranzini, S.E. et al. Pathway and network-based analysis of genome-wide association studies in multiple sclerosis. Hum. Mol. Genet. 18, 2078–2090 (2009). source
Not checked in the free run.
- cites [8] Wang, K. et al. Diverse genome-wide association studies associate the IL12/IL23 pathway with Crohn Disease. Am. J. Hum. Genet. 84, 399–405 (2009). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThese pathways are core molecular processes, disruption of which may increase risk for multiple psychiatric disorders.
“These pathways are core molecular processes, disruption of which may increase risk for multiple psychiatric disorders.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe cell-type enrichment analysis applied multiple-comparison correction across seven modules and 35 cell-type gene lists.
“We assessed each module for enrichment of lists for 35 broad and specific cell type gene sets (CSEA specificity threshold set to 0.05) across multiple brain regions in mouse, and corrected for multiple comparisons across 7 modules and the 35 cell type lists.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataEvery P value underwent genomic-control correction.
“Empirical results (P values for individual SNPs) from PGC GWAS were gathered for each disorder, and all P values were GC-corrected.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe combined P-value method ignores dependence among pathways, so it cannot assess whether significant pathways are over-represented, though it remains valid for testing each pathway individually.
“Note that this procedure does not allow for dependence between pathways, so it cannot be used to test whether there is an excess of pathways with average rank achieving a given level of significance. However, it does give a valid test of significance for each pathway separately.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningRaw genotype and phenotype data for each study were uploaded to a central server and processed through the same quality control, imputation and analysis pipeline to ensure comparability across samples.
“To ensure comparability across samples, raw genotype and phenotype data for each study were uploaded to a central server and processed through the same quality control, imputation and analysis pipeline.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationcitationGiven the role of histone methylation in establishing active promoters, it appears likely that dysregulation of histone methylation may have downstream effects with the potential to disrupt neurodevelopment and coordinated gene expression, as animal studies have demonstrated.
“Given the role of this process in establishing active promoters38, it appears likely that the dysregulation of histone methylation may have downstream effects with the potential to disrupt neurodevelopment and coordinated gene expression, as animal studies have demonstrated39.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [38] Brykczynska, U. et al. Repressive and active histone methylation mark distinct promoters in human and mouse spermatozoa. Nat. Struct. Mol. Biol. 17, 679–687 (2010). source
Not checked in the free run.
- cites [39] Huang, H.S. et al. Prefrontal dysfunction in schizophrenia involves mixed-lineage leukemia 1-regulated histone methylation at GABAergic gene promoters. J. Neurosci. 27, 11254–62 (2007). source
Not checked in the free run.
May combine two claims.
InterpretationreasoningA pathway with a lower average rank shows more consistent enrichment across methods and is more likely to contribute to disease susceptibility.
“The lower the average rank of a pathway, the more consistent its evidence for enrichment of association signal across the methods, and thus the greater the likelihood of involvement in disease susceptibility.”
Quote in the paperSubstantial claim- Rests on an assumption: A pathway that truly contributes to disease susceptibility should show consistent enrichment of association signal across multiple analysis methods.
Classified as probably not a substantial claim.
Study design and conductreasoningMethod-overlap comparisons used only independent pathways, obtained by Jaccard-distance pruning.
“To robustly test the significance of overlap in enriched pathways between methods, it is necessary to restrict the analysis to a set of independent pathways (by gene membership). This was done by pruning by Jaccard distance (see below).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningFurther analyses were restricted to 4,949 gene sets of at most 200 genes and at least 10 genes to ensure specificity of gene set association findings.
“To ensure the specificity of gene set association findings, further analyses were restricted to 4,949 gene sets of at most 200 genes and at least 10 genes”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe MHC region on chromosome 6, 25-35 Mbp, was excluded from further analyses to prevent potential impact of extensive linkage disequilibrium in the region.
“The MHC region on chromosome 6 (25–35 Mbp) was excluded from further analyses to prevent potential impact of extensive linkage disequilibrium (LD) in the region.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationTranscriptional regulatory elements are likely located within 35 kb upstream and 10 kb downstream of genes.
“since transcriptional regulatory elements are likely to be contained within these intervals and that there is thus merit in capturing the variation within these regions42.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [42] Maston, G.A., Evans, S.K. & Green, M.R. Transcriptional regulatory elements in the human genome. Annu. Rev. Genomics Hum. Genet. 7, 29–59 (2006). source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductown dataA null GWAS sample was analyzed to assess the degree of dependence between methods and to ensure that the analysis did not generate an excessive amount of false positives.
“We also analyzed a null GWAS sample, to assess the degree of dependence between methods, as well as to ensure that our analysis did not generate an excesive amount of false positives.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataSNPs with imputation quality INFO ≤ 0.8 were excluded.
“SNPs were also filtered by imputation quality (INFO > 0.8), which resulted in 477,792–543,578 SNPs being assigned to 16,334–17,352 genes”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductcitationStringent and standardized quality control procedures were applied as previously described.
“Stringent and standardized quality control procedures were applied as previously described3.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Cross-Disorder Group of the Psychiatric Genomics Consortium et al. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371–1379 (2013). source
Not checked in the free run.
Classified as probably not a substantial claim.
Study design and conductown dataReported enrichments use a Benjamini-Hochberg corrected significance threshold of P < 0.05.
“We report enrichments at Benjamini-Hochberg corrected P < 0.05 in Figure 4c.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataOur autism-spectrum disorder data set did not have sufficient power and was excluded from the primary pathway analysis.
“However, our ASD data set, based on GWAS, did not have sufficient power (owing to both the smaller sample size available and the combination of case-control and trio data sets) and was excluded from the primary pathway analysis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationINRICH, ALIGATOR, and MAGENTA are best-SNP-per-gene methods that count pathway genes with independent SNPs above a significance threshold, correcting for LD and genomic structure via Monte-Carlo simulation.
“INRICH45, ALIGATOR9 and MAGENTA46 are “best SNP per gene” methods that count the number of genes in a pathway where a number of independent SNPs exceed a predefined significance, and adjust for LD and genomic structure with corrected statistics derived by Monte-Carlo simulation.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [45] Lee, P.H., O'Dushlaine, C., Thomas, B. & Purcell, S.M. INRICH: interval-based enrichment analysis for genome-wide association studies. Bioinformatics 28, 1797–1799 (2012). source
Not checked in the free run.
- cites [9] Holmans, P. et al. Gene ontology analysis of GWA study data sets provides insights into the biology of bipolar disorder. Am. J. Hum. Genet. 85, 13–24 (2009). source
Not checked in the free run.
- cites [46] Segrè, A.V., Groop, L., Mootha, V.K., Daly, M.J. & Altshuler, D. Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits. PLoS Genet. 6, e1001058 (2010). source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing).
Study design and conductreasoningThese results should be considered preliminary, as they are a first-pass analysis using the results of a novel approach.
“We emphasize that these results should be considered preliminary, as they are a first-pass analysis using the results of a novel approach.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductown dataThe analysis selected 1,918 pathways with pairwise Jaccard similarity not exceeding 0.2.
“a subset of 1,918 pathways was selected such that no two pathways had a Jaccard similarity measure >0.2.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSNPs with imputation quality scores less than 0.8 were filtered out.
“SNPs with imputation quality scores less than 0.8 were filtered out.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationFORGE and SET SCREEN TEST are meta-analytic approaches that pool SNP P values within genes or pathways while correcting for linkage disequilibrium.
“FORGE43 and SET SCREEN TEST44 are meta-analysis methods that combine P values across all the SNPs in genes or pathways while adjusting for the confound of LD.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [43] Pedroso, I. et al. Common genetic variants and gene-expression changes associated with bipolar disorder are over-represented in brain signaling pathway genes. Biol. Psychiatry 72, 311–317 (2012). source
Not checked in the free run.
- cites [44] Moskvina, V. et al. Evaluation of an approximation method for assessment of overall significance of multiple-dependent tests in a genomewide association study. Genet. Epidemiol. 35, 861–866 (2011). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe analysis was repeated with and without the MHC region included.
“Analysis was run both with and without the MHC region (chromosome 6, 25–35 Mb).”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe degree of correlation between pathways across disorders is higher than expected by chance, indicating that polygenic overlap is nonrandom at a molecular or pathway level.
“Our observation that the degree of correlation between pathways across disorders is higher than expected by chance builds on the observation of shared genetics between these disorders4 and, importantly, indicates that polygenic overlap is nonrandom at a molecular or pathway level.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [4] Mirnics, K., Middleton, F.A., Marquez, A., Lewis, D.A. & Levitt, P. Molecular characterization of schizophrenia viewed by microarray analysis of gene expression in prefrontal cortex. Neuron 28, 53–67 (2000). source
Not checked in the free run.
May combine two claims.
Interpretationown dataCombining the three adult diseases produced stronger significance than any single-disease analysis, demonstrating the power gained by pooling pathway analyses across diseases that share biology.
“These results are more significant than those observed in any of the diseases analyzed separately, and illustrate the power to be gained by combining pathway analyses across diseases with shared biology.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningOnly one of each pair of related or duplicate individuals was retained, and in only one disorder case or control set, to ensure independence of individual disorder analyses.
“to ensure independence of individual disorder analyses, only one of pair of related or duplicate individuals were retained, and in only one disorder case or control set, resulting in 61,220 cases and controls in total.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductcitationPathway multiple-testing correction was performed by calculating q-values.
“To correct for multiple testing of pathways, q-values were calculated48.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [48] Storey, J.D. & Tibshirani, R. Statistical significance for genomewide studies. Proc. Natl. Acad. Sci. USA 100, 9440–9445 (2003). source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe blue module shows an increase during late prenatal and early postnatal development, peaking before age 6, suggesting the genes in this module may be related to postnatal synaptic pruning, another potential target for developing interventions.
“It shows an increase during late prenatal and early postnatal development, peaking before age 6, suggesting the genes in this module may be related to postnatal synaptic pruning, another potential target for developing interventions.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningFORGE and SET-SCREEN may produce extremely small enrichment P values for pathways with strongly associated SNPs, unlike ALIGATOR, INRICH, and MAGENTA, which rely on simulation.
“Specifically, FORGE and SET-SCREEN combine the P values of the SNPs, and it is therefore possible for them to achieve very small enrichment P values if the pathway contains strongly associated SNPs. This is not the case for ALIGATOR, INRICH and MAGENTA, which use simulation to give enrichment P values.”
Quote in the paperSubstantial claim
The authors state this as an assumption.
HIV does not share significant disorder etiology with psychiatric disorders.
“a GWAS of HIV17, chosen because it is not thought to share significant disorder etiology with psychiatric disorders but might instead share real technical artifacts”
The paper relies on this without support.
Mouse cell type gene lists can be used to infer human cell type–specific patterns.
“We then asked whether these modules exhibited a cell type–specific pattern by using gene lists from 35 genetically tagged and translationally profiled cell types in mouse19–21.”
The paper relies on this without support.
Gene expression data spanning brain regions and developmental time points can be used to place pathways in a specific neurobiological context.
“To place these pathways in a more specific neurobiological context, we analyzed coexpression relationships between the genes in pathways identified here at q < 0.1 using gene-expression data spanning brain regions and developmental time points18.”
The paper relies on this without support.
The gene set databases accurately represent biological pathways.
“We combined gene set data from six sources: KEGG, GO, PANTHER, TARGETSCAN, REACTOME and OMIM.”
The paper relies on this without support.
A pathway that truly contributes to disease susceptibility should show consistent enrichment of association signal across multiple analysis methods.
“Given that the results of the five analysis methods are correlated but not identical, pathways genuinely involved in disease susceptibility would be expected to show consistent enrichment for association signal across several methods.”
The authors state this as an assumption.
HIV-1 acquisition has little biological overlap with the psychiatric disorders examined.
“HIV infection acquisition can be assumed to share little biology with the psychiatric disorders studied here because, although two MHC associations have been discovered, we excluded the entire extended MHC region from our analyses.”
The paper relies on this without support.
The adult disorder samples (SCZ, BIP, MDD) are larger and more statistically powerful than the ADHD and ASD samples.
“This analysis was primarily performed on the three adult diseases (SCZ, BIP, MDD), which have larger and more powerful samples than the other diseases (ADHD, ASD).”
The paper relies on this without support.
The five pathway analysis methods produce correlated but non-identical results.
“Given that the results of the five analysis methods are correlated but not identical, pathways genuinely involved in disease susceptibility would be expected to show consistent enrichment for association signal across several methods.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cMAGMA input file was made comparable to H-MAGMA by using the same gene model and SNP list, with a window of 35 kb upstream and 10 kb downstream of each gene.
“We generated an input file for cMAGMA that is comparable to H-MAGMA. We used the same gene model (Gencode v26) and a SNP list used for H-MAGMA, and allowed a window of 35kb upstream and 10kb downstream of each gene as previously described16,52.”
From A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles (2020) · cites this paper as [16]
NMDA 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.”
From Rare coding variants in ten genes confer substantial risk for schizophrenia (2022) · cites this paper as [29]
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.
Top cross-disorder pathway has two q-values
MajorThe same top pathway in the combined adult-disorder analysis is assigned q = 0.0003 in the results and q = 0.0005 in the methods.
“the top pathway (GO:51568: histone H3-K4 methylation) having a q = 0.0003”
“the top pathway (GO:51568: histone H3-K4 methylation) having a q-value of 0.0005”
Different counts of significant cross-disorder pathways
MajorThe results report 16 pathways below q = 0.05 for the three adult disorders, while the methods report 15 for the same combined analysis.
“Of these, 16 are significant at q < 0.05”
“When the three adult diseases were combined, 15 pathways were significant at q < 0.05”
Conflicting minimum pathway size for set screen
MinorThe standardized-input section sets a 10-gene minimum for all analyses, whereas the set screen section says its gene sets were filtered at a two-gene minimum.
“For all analyses, we used pathways with a minimum of 10 genes and a maximum of 200 genes.”
“We used the same gene sets as described above which were filtered to contain no less than 2 and no more than 200 genes.”
Duplicate Brown citation has different first pages
MinorThe two references to Brown's 1975 Biometrics paper give different starting pages, 987 and 978.
“16. Brown MB A method for combining non-independent one-sided tests of significance Biometrics 1975 31 987 992”
“49. Brown MB A method for combining non-independent, one-sided tests of significance Biometrics 1975 31 978 992”
Gene-set source count differs
MinorThe results describe the initial pathway collection as coming from five databases, but the methods say gene sets were combined from six sources, adding OMIM.
“From an initial compiled set of 19,752 pathways across five gene set databases (GO, KEGG, Panther, Reactome, TargetScan)”
“We combined gene set data from six sources: KEGG, GO, PANTHER, TARGETSCAN, REACTOME and OMIM.”
The citation lists haven’t been fetched yet
References 51 · Cited by 755
Research works printed but not linked: 2
- Purcell, S.M. et al. A polygenic burden of rare disruptive mutations in schizophrenia. Nature 506, 185–190 (2014). · DOI · Paper page
- Brown, M.B. A method for combining non-independent, one-sided tests of significance. Biometrics 31, 978–992 (1975).
- Authors
- The Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium
- Venue
- Nature Neuroscience
- Published
- 2015-01-19
- Volume
- 18
- Issue
- 2
- Pages
- 199-209
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC4378867
- OpenAlex
- W2129031013
- Semantic Scholar
- aa57f6775b7c1ec25b4a7703a187d7d426e2c166
- Cited by
- 755
- References
- 51
- Citations by year
- 2026: 20 · 2025: 33 · 2024: 36 · 2023: 36 · 2022: 51 · 2021: 59 · 2020: 60 · 2019: 103 · 2018: 91 · 2017: 95 · 2016: 103 · 2015: 66 · 2014: 2
- FWCI
- 81.34
- Type
- journal article
- Language
- en
- Update notices
- Open access
- bronze
- doi.org
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- VU Research Portal (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (acceptedVersion)
- St Andrews Research Repository (St Andrews Research Repository) (acceptedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Lirias (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- TSpace (University of Toronto) (submittedVersion)
- Rutgers University Community Repository (Rutgers University) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- HAL (submittedVersion)
- Leiden Repository (Leiden University) (submittedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, public-domain)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- ePrints Soton (University of Southampton) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Research Explorer (The University of Manchester) (submittedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Bristol Research (University of Bristol) (submittedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Research Publications (Maastricht University) (submittedVersion)
- Newcastle University ePrints (Newcastle Univesity)
- Funders
- Massachusetts General Hospital
- University of Pennsylvania
- Louisiana State University
- South London and Maudsley NHS Foundation Trust
- Northern California Institute for Research and Education
- School of Public Health, University of Michigan
- Fondation FondaMental
- National Institute for Health and Care Research
- King's College London
- University of Birmingham
- Institut National de la Santé et de la Recherche Médicale
- Rijksuniversiteit Groningen
- Radboud Universiteit
- Vrije Universiteit Amsterdam
- Lundbeckfonden (R155-2014-1724)
- Karolinska Institutet
- Centre National de la Recherche Scientifique
- Universitair Medisch Centrum Groningen
- Université Pierre et Marie Curie
- Centro de Investigación Biomédica en Red de Salud Mental
- Rheinische Friedrich-Wilhelms-Universität Bonn
- Universitat Autònoma de Barcelona
- National Institutes of Health (5u01mh094432-04)
- University of California, Los Angeles
- University of California, San Francisco
- University of California, Irvine
- Medical Research Council (MR/L010305/1)
- National Institute of Mental Health (U01 MH094432, R01MH094293, U01MH085520, R01MH100027, R01MH104261, K99MH101367, MH085520, R01MH085548, R01MH063480, K24MH094614, R25MH060482)
- National Cancer Institute (R01CA082659, R15CA170091)
- National Institute of General Medical Sciences (R01GM047845)
- Fogarty International Center (D43TW009114)
- David Geffen School of Medicine, University of California, Los Angeles
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Keywords
- mental illness, schizophrenia, bipolar disorder, major depressive disorder, pathway enrichment, histone methylation, immune signaling pathways, neuronal signaling pathways, postsynaptic density, shared genetic etiology, Psychiatric Genomics Consortium
- MeSH terms
- Mental Disorders, Brain, Histones, Humans, Signal Transduction, Genetic Predisposition to Disease, Databases, Genetic, Genome-Wide Association Study
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