Read Robert W, Schlauch Karen A, Lombardi Vincent C, Cirulli Elizabeth T, Washington Nicole L, Lu James T, Grzymski Joseph J
Center for Genomic Medicine, Desert Research Institute, Reno, NV, United States.
Department of Microbiology and Immunology, School of Medicine, University of Nevada, Reno, Reno, NV, United States.
Front Genet. 2021 Mar 2;12:639418. doi: 10.3389/fgene.2021.639418. eCollection 2021.
Clinical conditions correlated with elevated triglyceride levels are well-known: coronary heart disease, hypertension, and diabetes. Underlying genetic and phenotypic mechanisms are not fully understood, partially due to lack of coordinated genotypic-phenotypic data. Here we use a subset of the Healthy Nevada Project, a population of 9,183 sequenced participants with longitudinal electronic health records to examine consequences of altered triglyceride levels. Specifically, Healthy Nevada Project participants sequenced by the Helix Exome+ platform were cross-referenced to their electronic medical records to identify: (1) rare and common single-variant genome-wide associations; (2) gene-based associations using a Sequence Kernel Association Test; (3) phenome-wide associations with triglyceride levels; and (4) pleiotropic variants linked to triglyceride levels. The study identified 549 significant single-variant associations ( < 8.75 × 10), many in chromosome 11's triglyceride hotspot: , , , . A well-known protective loss-of-function variant in (R19X) was associated with a 51% decrease in triglyceride levels in the cohort. Sixteen gene-based triglyceride associations were identified; six of these genes surprisingly did not include a single variant with significant associations. Results at the variant and gene level were validated with the UK Biobank. The combination of a single-variant genome-wide association, a gene-based association method, and phenome wide-association studies identified rare and common variants, genes, and phenotypes associated with elevated triglyceride levels, some of which may have been overlooked with standard approaches.
冠心病、高血压和糖尿病。其潜在的遗传和表型机制尚未完全明确,部分原因是缺乏协调一致的基因型 - 表型数据。在此,我们使用了健康内华达项目的一个子集,该项目有9183名参与者进行了测序并拥有纵向电子健康记录,以研究甘油三酯水平改变的后果。具体而言,通过Helix外显子 + 平台测序的健康内华达项目参与者与他们的电子病历进行交叉对照,以确定:(1)罕见和常见的全基因组单变体关联;(2)使用序列核关联测试的基于基因的关联;(3)与甘油三酯水平的全表型关联;以及(4)与甘油三酯水平相关的多效性变体。该研究确定了549个显著的单变体关联(<8.75×10),许多位于11号染色体的甘油三酯热点区域: , , , 。一个众所周知的 (R19X)功能丧失性保护变体与队列中甘油三酯水平降低51%相关。确定了16个基于基因的甘油三酯关联;其中六个基因令人惊讶地不包括一个具有显著关联的单变体。变体和基因水平的结果在英国生物银行得到了验证。单变体全基因组关联、基于基因的关联方法和全表型关联研究的结合,确定了与甘油三酯水平升高相关的罕见和常见变体、基因和表型,其中一些可能被标准方法忽视了。