rs10490694 - COBLL1

Magnitude 2.2 · 2 studies on file

Reported associations

  • Investigation of the impact of gynoid fat on steatotic and advanced liver diseases-Genomic and clinical perspectives from a large-scale population cohort. - Clinical nutrition (Edinburgh, Scotland) (2025) · Liu Z, Chen H, Du H, Lin G, Tu T, Wan Z, Zhao N, Li G, Tang B, Wu H, Bai X, Wang QL, Mi J · PubMed 41314110

    Gynoid fat (hip-thigh subcutaneous adiposity) is metabolically favorable, yet its genetic architecture and impact on liver diseases are unknown. We aimed to identify genetic determinants of gynoid tissue fat percentage (GTFP) and explore their clinical implications to liver disease. We conducted a genome-wide association study (GWAS) in 37,385 European individuals from the UK Biobank to identify genetic variants associated with GTFP. A polygenic risk score (PRS) was then derived for GTFP. Post-GWAS analyses, including colocalization, transcriptome-wide association studies (TWAS), logistic regression models, and interaction analyses, were employed to assess the impact of GTFP indicated by PRS on alcoholic and non-alcoholic fatty liver disease (NAFLD), metabolic dysfunction associated steato

  • The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease - Unknown journal (n.d.) · Unknown authors · PubMed 27863252

    ABSTRACT: Summary Many common variants have been associated with hematological traits, but identification of causal genes and pathways has proven challenging. We performed a genome-wide association analysis in the UK Biobank and INTERVAL studies, testing 29.5 million genetic variants for association with 36 red cell, white cell, and platelet properties in 173,480 European-ancestry participants. This effort yielded hundreds of low frequency (<5%) and rare (<1%) variants with a strong impact on blood cell phenotypes. Our data highlight general properties of the allelic architecture of complex traits, including the proportion of the heritable component of each blood trait explained by the polygenic signal across different genome regulatory domains. Finally, through Mendelian randomization, we


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