Expressive

rs10167465 - LINC02580

Magnitude 2.0 · 2 studies on file

Reported associations

  • Genetic analyses across cardiovascular traits: leveraging genetic correlations to empower locus discovery and prediction in common cardiovascular diseases - NPJ genomic medicine (2025) · Jordà P, Lai Y, Jeuken A, Lemieux Perreault LP, Goulet E, Lahrouchi N, Nozza A, Tanck MW, Guerra P, Cadrin-Tourigny J, de Denus S, Bezzina CR, Lettre G, Busseuil D, Dubé MP, Tardif JC, Tadros R · 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

  • Impact of gallstone disease on the risk of stroke and coronary artery disease: evidence from prospective observational studies and genetic analyses - BMC medicine (2023) · Zhang L, Zhang W, He L, Cui H, Wang Y, Wu X, Zhao X, Yan P, Yang C, Xiao C, Tang M, Chen L, Xiao C, Zou Y, Liu Y, Yang Y, Zhang L, Yao Y, Li J, Liu Z, Yang C, Jiang X, Zhang B · PubMed 37705021

    ABSTRACT: Background Despite epidemiological evidence associating gallstone disease (GSD) with cardiovascular disease (CVD), a dilemma remains on the role of cholecystectomy in modifying the risk of CVD. We aimed to characterize the phenotypic and genetic relationships between GSD and two CVD events - stroke and coronary artery disease (CAD). Methods We first performed a meta-analysis of cohort studies to quantify an overall phenotypic association between GSD and CVD. We then investigated the genetic relationship leveraging the largest genome-wide genetic summary statistics. We finally examined the phenotypic association using the comprehensive data from UK Biobank (UKB). Results An overall significant effect of GSD on CVD was found in meta-analysis (relative risk [RR] = 1.26, 95% co

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