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The MPLEx Protocol for Multi-omic Analyses of Soil Samples
Published on: May 30, 2018
Discovery of functional variants regulating lipid metabolism in an East Asian population
Sungji Moon1, Young Jun Park2, Jaeyong Choi3
1Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea; Genomic Medicine Institute, Medical Research Center, Seoul National University, Seoul, 03080, Republic of Korea.
Background:
Recent genome-wide association studies have identified more than 900 lipid-related loci; however, the specific genes and mechanisms that regulate blood lipid levels remain incompletely understood. This study aimed to identify lipid-associated variants in Koreans and to investigate their potential functional and regulatory mechanisms.
Methods:
We performed a genome-wide association study of triglyceride, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol levels in 72,298 Korean participants. Genotype data were imputed using the Northeast Asian Reference Database, version 2. We then conducted conditional analysis, statistical fine-mapping, and functional variant-to-gene mapping, and further evaluated the associations of lipid-associated variants with coronary artery disease. Significant variants were subsequently examined using a luciferase reporter assay in HepG2 cells.
Results:
Our analyses identified 182 independent lipid-associated signals, including 64 previously unreported signals. Integrative fine-mapping and variant-to-gene mapping prioritized 24 variants with evidence of transcriptional regulatory effects and 40 linked genes, including potential lipid metabolism regulators PIP5KL1 and UBE4A. Reporter assays further supported allele-specific regulatory activity for rs10987803 (FAM102A) and rs5130 (APOC3). Several low-frequency protein-altering variants implicated established lipid metabolism pathways. Notably, a Korean-enriched ANGPTL3 missense variant (rs753849210; p.W338C) was associated with markedly lower triglyceride levels. Lipid effects were directionally concordant with coronary artery disease associations for variants in PCSK9 (rs564427867; p.E32K and rs151193009; p.R93C), HIST1H1C (rs12111009; p.G124A), and CELSR2 (rs77619489; p.A2806V).
Conclusions:
These findings refine the genetic architecture of lipid traits and nominate candidate genes and regulatory variants for future studies of lipid-related cardiometabolic disease.
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