rs1214752 - ABCC10

Magnitude 2.2 · 3 studies on file

Reported associations

  • Metabolome-wide association identifies ferredoxin-1 (FDX1) as a determinant of cholesterol metabolism and cardiovascular risk in Asian populations. - Nature cardiovascular research (2025) · Sadhu N, Dalan R, Jain PR, Lee CJM, Pakkiri LS, Tay KY, Mina TH, Low D, Min Y, Ackers-Johnson M, Thi TT, Kota VG, Shi Y, Liu Y, Yu H, Lai V, Yang Y, Tay D, Ng HK, Wang X, Wong KE, Lam M, Guan XL, Bertin N, Wong E, Best J, Sarangarajan R, Elliott P, Riboli E, Lee J, Lee ES, Ngeow J, Tan P, Cheung C, Drum CL, Foo RS, Michelotti GA, Yu H, Sheridan PA, Loh M, Chambers JC · PubMed 40360795

    The burden of cardiovascular disease is rising in the Asia-Pacific region, in contrast to falling cardiovascular disease mortality rates in Europe and North America. Here we perform quantification of 883 metabolites by untargeted mass spectroscopy in 8,124 Asian adults and investigate their relationships with carotid intima media thickness, a marker of atherosclerosis. Plasma concentrations of 3beta-hydroxy-5-cholestenoate (3BH5C), a cholesterol metabolite, were inversely associated with carotid intima media thickness, and Mendelian randomization studies supported a causal relationship between 3BH5C and coronary artery disease. The observed effect size was 5- to 6-fold higher in Asians than Europeans. Colocalization analyses indicated the presence of a shared causal variant between 3BH5C p

  • Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease - Unknown journal (n.d.) · Unknown authors · PubMed 29212778

    ABSTRACT: Supplemental Digital Content is available in the text. Rationale: Coronary artery disease (CAD) is a complex phenotype driven by genetic and environmental factors. Ninety-seven genetic risk loci have been identified to date, but the identification of additional susceptibility loci might be important to enhance our understanding of the genetic architecture of CAD. Objective: To expand the number of genome-wide significant loci, catalog functional insights, and enhance our understanding of the genetic architecture of CAD. Methods and Results: We performed a genome-wide association study in 34 541 CAD cases and 261 984 controls of UK Biobank resource followed by replication in 88 192 cases and 162 544 controls from CARDIoGRAMplusC4D. We identified 75 loci that replicated and

  • Genetic analyses across cardiovascular traits: leveraging genetic correlations to empower locus discovery and prediction in common cardiovascular diseases - Unknown journal (n.d.) · Unknown authors · PubMed 41022758

    ABSTRACT: Common genetic variation detected by genome-wide association studies (GWAS) partially explains variability in the spectrum of cardiac phenotypes. In this work, we explore genetic correlations among 58 cardiac-related traits/diseases, detecting novel ones. We subsequently employ multi-trait analysis of GWAS (MTAG), which meta-analyzes genetically correlated traits, to improve genomic loci discovery and prediction in atrial fibrillation (AF), coronary artery disease (CAD), and heart failure (HF). We identify 19 novel loci specific for AF, 131 for CAD, and 141 for HF. Polygenic scores (PGS) in 15,177 Canadian individuals show similar results when PGS are derived from conventional GWAS versus MTAG summary statistics, although MTAG-PGS improve prediction and discrimination of CAD in f


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