Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
PLoS Genet. 2020 Mar 30;16(3):e1008684. doi: 10.1371/journal.pgen.1008684. eCollection 2020 Mar.
Lipid levels are important markers for the development of cardio-metabolic diseases. Although hundreds of associated loci have been identified through genetic association studies, the contribution of genetic factors to variation in lipids is not fully understood, particularly in U.S. minority groups. We performed genome-wide association analyses for four lipid traits in over 45,000 ancestrally diverse participants from the Population Architecture using Genomics and Epidemiology (PAGE) Study, followed by a meta-analysis with several European ancestry studies. We identified nine novel lipid loci, five of which showed evidence of replication in independent studies. Furthermore, we discovered one novel gene in a PrediXcan analysis, minority-specific independent signals at eight previously reported loci, and potential functional variants at two known loci through fine-mapping. Systematic examination of known lipid loci revealed smaller effect estimates in African American and Hispanic ancestry populations than those in Europeans, and better performance of polygenic risk scores based on minority-specific effect estimates. Our findings provide new insight into the genetic architecture of lipid traits and highlight the importance of conducting genetic studies in diverse populations in the era of precision medicine.
血脂水平是心血管代谢疾病发展的重要标志物。尽管通过遗传关联研究已经鉴定出数百个相关基因座,但遗传因素对血脂变异的贡献仍不完全清楚,尤其是在美国少数族裔群体中。我们对来自人口结构基因组学和流行病学研究(PAGE)的超过 45000 名具有不同祖先的参与者的四个血脂特征进行了全基因组关联分析,随后与几个欧洲祖先研究进行了荟萃分析。我们鉴定出 9 个新的血脂基因座,其中 5 个在独立研究中显示出复制的证据。此外,我们通过精细映射在一个 PrediXcan 分析中发现了一个新的基因,在之前报道的 8 个基因座中发现了少数民族特有的独立信号,以及在两个已知基因座中发现了潜在的功能变异。对已知脂质基因座的系统检查表明,非洲裔美国人和西班牙裔人群中的效应估计值小于欧洲人群中的效应估计值,并且基于少数民族特定效应估计值的多基因风险评分表现更好。我们的研究结果为脂质特征的遗传结构提供了新的见解,并强调了在精准医学时代在不同人群中进行遗传研究的重要性。