Davis James P, Huyghe Jeroen R, Locke Adam E, Jackson Anne U, Sim Xueling, Stringham Heather M, Teslovich Tanya M, Welch Ryan P, Fuchsberger Christian, Narisu Narisu, Chines Peter S, Kangas Antti J, Soininen Pasi, Ala-Korpela Mika, Kuusisto Johanna, Collins Francis S, Laakso Markku, Boehnke Michael, Mohlke Karen L
Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.
Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, United States of America.
PLoS Genet. 2017 Oct 30;13(10):e1007079. doi: 10.1371/journal.pgen.1007079. eCollection 2017 Oct.
Lipid and lipoprotein subclasses are associated with metabolic and cardiovascular diseases, yet the genetic contributions to variability in subclass traits are not fully understood. We conducted single-variant and gene-based association tests between 15.1M variants from genome-wide and exome array and imputed genotypes and 72 lipid and lipoprotein traits in 8,372 Finns. After accounting for 885 variants at 157 previously identified lipid loci, we identified five novel signals near established loci at HIF3A, ADAMTS3, PLTP, LCAT, and LIPG. Four of the signals were identified with a low-frequency (0.005<minor allele frequency [MAF]<0.05) or rare (MAF<0.005) variant, including Arg123His in LCAT. Gene-based associations (P<10-10) support a role for coding variants in LIPC and LIPG with lipoprotein subclass traits. 30 established lipid-associated loci had a stronger association for a subclass trait than any conventional trait. These novel association signals provide further insight into the molecular basis of dyslipidemia and the etiology of metabolic disorders.
脂质和脂蛋白亚类与代谢性疾病和心血管疾病相关,但基因对亚类性状变异性的贡献尚未完全了解。我们在8372名芬兰人中,对全基因组和外显子阵列的1510万个变异以及推算基因型与72种脂质和脂蛋白性状进行了单变异和基于基因的关联测试。在考虑了先前确定的157个脂质基因座上的885个变异后,我们在已确定的基因座附近的HIF3A、ADAMTS3、PLTP、LCAT和LIPG处发现了五个新信号。其中四个信号是由低频(0.005<次要等位基因频率[MAF]<0.05)或罕见(MAF<0.005)变异确定的,包括LCAT中的Arg123His。基于基因的关联(P<10-10)支持LIPC和LIPG中的编码变异与脂蛋白亚类性状有关。30个已确定的脂质相关基因座对亚类性状的关联比对任何传统性状的关联更强。这些新的关联信号为血脂异常的分子基础和代谢紊乱的病因提供了进一步的见解。