Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Department of Population and Quantitative Health Sciences, Case Western University, Cleveland, OH.
Diabetes. 2019 Feb;68(2):441-456. doi: 10.2337/db18-0567. Epub 2018 Nov 28.
To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts ( = 3,246) and seven African American cohorts ( = 2,611). We meta-analyzed across cohorts using inverse-variance weighting, with and without liability threshold modeling of glycemic control and duration of diabetes. Variants with a value <1 × 10 were investigated in replication cohorts that included 18,545 European, 16,453 Asian, and 2,710 Hispanic subjects. After correction for multiple testing, the C allele of rs142293996 in an intron of nuclear VCP-like () was associated with DR in European discovery cohorts ( = 2.1 × 10), but did not reach genome-wide significance after meta-analysis with replication cohorts. We applied the Disease Association Protein-Protein Link Evaluator (DAPPLE) to our discovery results to test for evidence of risk being spread across underlying molecular pathways. One protein-protein interaction network built from genes in regions associated with proliferative DR was found to have significant connectivity ( = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in as well as variation within a protein-protein interaction network that includes genes implicated in inflammation, may influence risk for DR.
为了鉴定与糖尿病性视网膜病变(DR)相关的遗传变异,我们进行了一项大型多民族全基因组关联研究。发现阶段包括 8 个欧洲队列(=3246)和 7 个非裔美国人队列(=2611)。我们使用逆方差加权法在队列之间进行了荟萃分析,同时进行了基于血糖控制和糖尿病持续时间的易感性阈值模型的分析。在包括 18545 名欧洲人、16453 名亚洲人和 2710 名西班牙裔个体的复制队列中,对 值<1×10的变异进行了调查。经过多重检验校正后,核 VCP 样()内含子中 rs142293996 的 C 等位基因与欧洲发现队列的 DR 相关(=2.1×10),但在与复制队列的荟萃分析后未达到全基因组显著水平。我们将疾病关联蛋白-蛋白相互作用网络评估器(DAPPLE)应用于我们的发现结果,以测试风险是否在潜在的分子途径中传播的证据。从与增殖性 DR 相关区域的基因构建的一个蛋白-蛋白相互作用网络被发现具有显著的连通性(=0.0009),并与基因集富集分析相吻合。这些发现表明, 中的遗传变异以及包括炎症相关基因的蛋白-蛋白相互作用网络中的变异可能会影响 DR 的风险。