2020
DOI: 10.1101/2020.08.13.249813
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Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders

Abstract: BACKGROUND: Sex differences in the incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across these disorders suggest possible shared sex-dependent genetic risk. METHODS: We conducted the largest to date genome-wide genotype-by-sex (GxS) interaction analysis of risk for these disorders, using data from 85,735 cases (33,403 SCZ, 19,924 BIP, 32,408 MDD)… Show more

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Cited by 6 publications
(9 citation statements)
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References 102 publications
(110 reference statements)
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“…The phenotypes that showed sex differences were among those with the largest available sample sizes, indicating that sample size impacts power to detect sex differences, and consequently, the lack of significant differences for a given phenotype may be due to limited power resulting from small sample sizes ( Table S12 in Supplement 2 ). For example, a recent larger analysis of gene-by-sex interaction in schizophrenia, BD, and MDD revealed significant associations for schizophrenia and MDD ( 20 ). We found that some pairs of genetically correlated traits also share sex-differentiated associations (e.g., ASD and ADHD; BD and schizophrenia).…”
Section: Discussionsupporting
confidence: 75%
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“…The phenotypes that showed sex differences were among those with the largest available sample sizes, indicating that sample size impacts power to detect sex differences, and consequently, the lack of significant differences for a given phenotype may be due to limited power resulting from small sample sizes ( Table S12 in Supplement 2 ). For example, a recent larger analysis of gene-by-sex interaction in schizophrenia, BD, and MDD revealed significant associations for schizophrenia and MDD ( 20 ). We found that some pairs of genetically correlated traits also share sex-differentiated associations (e.g., ASD and ADHD; BD and schizophrenia).…”
Section: Discussionsupporting
confidence: 75%
“…We used the Functional Mapping and Annotation of GWAS (FUMA) SNP2GENE web tool ( 37 ) to perform gene-based analysis using MAGMA v1.08 ( 38 , 39 ). We examined whether the genes exhibiting a genome-wide significant sex difference (from MAGMA) demonstrate sex-differentiated gene expression in brain tissues from the Genotype-Tissue Expression project v8 ( https://www.gtexportal.org/home/datasets ) ( 20 ). After mapping SNPs to genes (using a default window size of 0), we performed gene set enrichment analysis on the union (across phenotypes) of genes with sex-differentiated effects using GSEA ( https://software.broadinstitute.org/gsea/index.jsp ).…”
Section: Methodsmentioning
confidence: 49%
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“…Genome-wide association studies (GWAS) have identified robustly associated risk alleles for both disorders, accounting for 26% of variance in anxiety and 8.7% of variance in major depressive disorder (MDD) [ 10 , 11 ]. The genetic correlation between males and females is very high for each of these disorders and larger samples are needed to identify SNPs showing a genome-wide significant sex difference in allele frequency [ 12 , 13 ]. GWAS have also demonstrated that a significant proportion of the genetic liabilities of anxiety and MDD are shared with other psychiatric disorders in males and females [ 10 12 , 14 ].…”
Section: Introductionmentioning
confidence: 99%