Marvel Skylar W, Rotroff Daniel M, Wagner Michael J, Buse John B, Havener Tammy M, McLeod Howard L, Motsinger-Reif Alison A
Bioinformatics Research Center, North Carolina State University, Raleigh, NC, United States of America.
Department of Statistics, North Carolina State University, Raleigh, NC, United States of America.
PeerJ. 2017 May 2;5:e3187. doi: 10.7717/peerj.3187. eCollection 2017.
Individuals with type 2 diabetes are at an increased risk of cardiovascular disease. Alterations in circulating lipid levels, total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides (TG) are heritable risk factors for cardiovascular disease. Here we conduct a genome-wide association study (GWAS) of common and rare variants to investigate associations with baseline lipid levels in 7,844 individuals with type 2 diabetes from the ACCORD clinical trial.
DNA extracted from stored blood samples from ACCORD participants were genotyped using the Affymetrix Axiom Biobank 1 Genotyping Array. After quality control and genotype imputation, association of common genetic variants (CV), defined as minor allele frequency (MAF) ≥ 3%, with baseline levels of TC, LDL, HDL, and TG was tested using a linear model. Rare variant (RV) associations (MAF < 3%) were conducted using a suite of methods that collapse multiple RV within individual genes.
Many statistically significant CV ( < 1 × 10) replicate findings in large meta-analyses in non-diabetic subjects. RV analyses also confirmed findings in other studies, whereas significant RV associations with , , and appear to be novel ( < 0.1).
Here we present findings for the largest GWAS of lipid levels in people with type 2 diabetes to date. We identified 17 statistically significant ( < 1 × 10) associations of CV with lipid levels in 11 genes or chromosomal regions, all of which were previously identified in meta-analyses of mostly non-diabetic cohorts. We also identified 13 associations in 11 genes based on RV, several of which represent novel findings.
2型糖尿病患者患心血管疾病的风险增加。循环脂质水平的改变,即总胆固醇(TC)、低密度脂蛋白(LDL)、高密度脂蛋白(HDL)和甘油三酯(TG),是心血管疾病的可遗传风险因素。在此,我们开展了一项针对常见和罕见变异的全基因组关联研究(GWAS),以调查来自ACCORD临床试验的7844名2型糖尿病患者的基线脂质水平相关关联。
使用Affymetrix Axiom Biobank 1基因分型阵列对从ACCORD参与者储存的血液样本中提取的DNA进行基因分型。经过质量控制和基因型填充后,使用线性模型测试常见遗传变异(CV,定义为次要等位基因频率(MAF)≥3%)与TC、LDL、HDL和TG基线水平的关联。罕见变异(RV)关联(MAF<3%)使用一组方法进行,这些方法将单个基因内的多个RV合并。
许多具有统计学意义的CV(<1×10)在非糖尿病受试者的大型荟萃分析中得到重复发现。RV分析也证实了其他研究中的发现,而与、和的显著RV关联似乎是新的(<0.1)。
在此,我们展示了迄今为止针对2型糖尿病患者脂质水平的最大规模GWAS的结果。我们在11个基因或染色体区域中鉴定出17个具有统计学意义(<1×10)的CV与脂质水平的关联,所有这些关联先前都在主要为非糖尿病队列的荟萃分析中被鉴定出来。我们还基于RV在11个基因中鉴定出13个关联,其中几个代表新发现。