%0 Journal Article %J Diabetes %D 2019 %T Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control. %A Pollack, Samuela %A Igo, Robert P %A Jensen, Richard A %A Christiansen, Mark %A Li, Xiaohui %A Cheng, Ching-Yu %A Ng, Maggie C Y %A Smith, Albert V %A Rossin, Elizabeth J %A Segrè, Ayellet V %A Davoudi, Samaneh %A Tan, Gavin S %A Chen, Yii-Der Ida %A Kuo, Jane Z %A Dimitrov, Latchezar M %A Stanwyck, Lynn K %A Meng, Weihua %A Hosseini, S Mohsen %A Imamura, Minako %A Nousome, Darryl %A Kim, Jihye %A Hai, Yang %A Jia, Yucheng %A Ahn, Jeeyun %A Leong, Aaron %A Shah, Kaanan %A Park, Kyu Hyung %A Guo, Xiuqing %A Ipp, Eli %A Taylor, Kent D %A Adler, Sharon G %A Sedor, John R %A Freedman, Barry I %A Lee, I-Te %A Sheu, Wayne H-H %A Kubo, Michiaki %A Takahashi, Atsushi %A Hadjadj, Samy %A Marre, Michel %A Trégouët, David-Alexandre %A McKean-Cowdin, Roberta %A Varma, Rohit %A McCarthy, Mark I %A Groop, Leif %A Ahlqvist, Emma %A Lyssenko, Valeriya %A Agardh, Elisabet %A Morris, Andrew %A Doney, Alex S F %A Colhoun, Helen M %A Toppila, Iiro %A Sandholm, Niina %A Groop, Per-Henrik %A Maeda, Shiro %A Hanis, Craig L %A Penman, Alan %A Chen, Ching J %A Hancock, Heather %A Mitchell, Paul %A Craig, Jamie E %A Chew, Emily Y %A Paterson, Andrew D %A Grassi, Michael A %A Palmer, Colin %A Bowden, Donald W %A Yaspan, Brian L %A Siscovick, David %A Cotch, Mary Frances %A Wang, Jie Jin %A Burdon, Kathryn P %A Wong, Tien Y %A Klein, Barbara E K %A Klein, Ronald %A Rotter, Jerome I %A Iyengar, Sudha K %A Price, Alkes L %A Sobrin, Lucia %X

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.

%B Diabetes %V 68 %P 441-456 %8 2019 Feb %G eng %N 2 %R 10.2337/db18-0567