rs10235664 - MAD1L1

Magnitude 2.2 · 2 studies on file

Reported associations

  • Using phenotype risk scores to enhance gene discovery for generalized anxiety disorder and posttraumatic stress disorder - Unknown journal (n.d.) · Unknown authors · PubMed 35181757

    ABSTRACT: UK Biobank (UKB) is a key contributor in mental health genome-wide association studies (GWAS) but only ~31% of participants completed the Mental Health Questionnaire ("MHQ responders"). We predicted generalized anxiety disorder (GAD), posttraumatic stress disorder (PTSD), and major depression symptoms using elastic net regression in the ~69% of UKB participants lacking MHQ data ("MHQ non-responders"; NTraining=50%; NTest=50%), maximizing the informative sample for these traits. MHQ responders were more likely to be female, from higher socioeconomic positions, and less anxious than non-responders. Genetic correlation of GAD and PTSD between MHQ responders and non-responders ranged from 0.636-1.08; both were predicted by polygenic scores generated from independent cohorts.

  • Genome-wide association analyses of posttraumatic stress disorder and its symptom subdomains in the Million Veteran Program - Unknown journal (n.d.) · Unknown authors · PubMed 33510476

    ABSTRACT: We conducted genome-wide association analyses in over 250,000 participants of European and African ancestry from the Million Veteran Program using electronic health record-validated posttraumatic stress disorder (PTSD) diagnosis and quantitative symptom phenotypes. Applying genome-wide multiple testing correction, we identified three significant loci in European case-control analyses and 15 loci in quantitative symptom analyses. Genomic structural equation modeling indicated tight coherence of a PTSD symptom factor that shares genetic variance with a distinct internalizing (mood-anxiety-neuroticism) factor. Partitioned heritability indicated enrichment in several cortical and subcortical regions, and imputed genetically regulated gene expression in these regions was used to ident


Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.