rs11100449 - MAML3
Magnitude 2.0 · 2 studies on file
Reported associations
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Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits - Unknown journal (n.d.) · Unknown authors · PubMed 30289880
ABSTRACT: Genome-wide association studies have shown that pleiotropy is a common phenomenon that can potentially be exploited for enhanced detection of susceptibility loci. We propose heritability informed power optimization (HIPO) for conducting powerful pleiotropic analysis using summary-level association statistics. We find optimal linear combinations of association coefficients across traits that are expected to maximize non-centrality parameter for the underlying test statistics, taking into account estimates of heritability, sample size variations and overlaps across the traits. Simulation studies show that the proposed method has correct type I error, robust to population stratification and leads to desired genome-wide enrichment of association signals. Application of the proposed m
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A sex-specific genome-wide association study of depression phenotypes in UK Biobank - Unknown journal (n.d.) · Unknown authors · PubMed 36750733
ABSTRACT: There are marked sex differences in the prevalence, phenotypic presentation and treatment response for major depression. While genome-wide association studies (GWAS) adjust for sex differences, to date, no studies seek to identify sex-specific markers and pathways. In this study, we performed a sex-stratified genome-wide association analysis for broad depression with the UK Biobank total participants (N = 274,141), including only non-related participants, as well as with males (N = 127,867) and females (N = 146,274) separately. Bioinformatics analyses were performed to characterize common and sex-specific markers and associated processes/pathways. We identified 11 loci passing genome-level significance (P < 5 × 10−8) in females and one in males. In both mal
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