Expressive

rs10172965 - LINC01790 - RNU6-169P

Magnitude 2.2 · 2 studies on file

Reported associations

  • A genome-wide meta-analysis of association studies of Cloninger's Temperament Scales - Unknown journal (n.d.) · Unknown authors · PubMed 22832960

    ABSTRACT: Temperament has a strongly heritable component, yet multiple independent genome-wide studies have failed to identify significant genetic associations. We have assembled the largest sample to date of persons with genome-wide genotype data, who have been assessed with Cloninger's Temperament and Character Inventory. Sum scores for novelty seeking, harm avoidance, reward dependence and persistence have been measured in over 11 000 persons collected in four different cohorts. Our study had >80% power to identify genome-wide significant loci (P<1.25 × 10−8, with correction for testing four scales) accounting for ⩾0.4% of the phenotypic variance in temperament scales. Using meta-analysis techniques, gene-based tests and pathway analysis we have tested over 1.2 million single-nuc

  • Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses - Unknown journal (n.d.) · Unknown authors · PubMed 27089181

    ABSTRACT: We conducted genome-wide association studies of three phenotypes: subjective well-being (N = 298,420), depressive symptoms (N = 161,460), and neuroticism (N = 170,910). We identified three variants associated with subjective well-being, two with depressive symptoms, and eleven with neuroticism, including two inversion polymorphisms. The two depressive symptoms loci replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes strengthen the overall credibility of the findings, and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal/pancreas tissues are strongly enriched for association. FULL TEXT: [INTRO] Introduction [INTRO] Subjectiv

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