rs10508366 - RNA5SP299 - LINC02676

Magnitude 2.0 · 2 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

• Leveraging Polygenic Functional Enrichment to Improve GWAS Power. - American journal of human genetics (2019) · Kichaev G, Bhatia G, Loh PR, Gazal S, Burch K, Freund MK, Schoech A, Pasaniuc B, Price AL · PubMed 30595370

  Functional genomics data has the potential to increase GWAS power by identifying SNPs that have a higher prior probability of association. Here, we introduce a method that leverages polygenic functional enrichment to incorporate coding, conserved, regulatory, and LD-related genomic annotations into association analyses. We show via simulations with real genotypes that the method, functionally informed novel discovery of risk loci (FINDOR), correctly controls the false-positive rate at null loci and attains a 9%-38% increase in the number of independent associations detected at causal loci, depending on trait polygenicity and sample size. We applied FINDOR to 27 independent complex traits and diseases from the interim UK Biobank release (average N = 130K). Averaged across traits, we attaine

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