| Literature DB >> 30487263 |
Samuela Pollack1, Robert P Igo2, Richard A Jensen3, Mark Christiansen3, Xiaohui Li4, Ching-Yu Cheng5,6, Maggie C Y Ng7,8, Albert V Smith9, Elizabeth J Rossin10, Ayellet V Segrè10, Samaneh Davoudi10, Gavin S Tan5,6, Yii-Der Ida Chen4, Jane Z Kuo4,11, Latchezar M Dimitrov7,8, Lynn K Stanwyck10, Weihua Meng12, S Mohsen Hosseini13, Minako Imamura14,15,16, Darryl Nousome17, Jihye Kim18, Yang Hai4, Yucheng Jia4, Jeeyun Ahn19, Aaron Leong20, Kaanan Shah21, Kyu Hyung Park22, Xiuqing Guo4, Eli Ipp23, Kent D Taylor4, Sharon G Adler24, John R Sedor25,26,27, Barry I Freedman28, I-Te Lee29,30,31, Wayne H-H Sheu29,30,31,32, Michiaki Kubo33, Atsushi Takahashi34,35, Samy Hadjadj36,37,38,39, Michel Marre40,41,42, David-Alexandre Tregouet43,44, Roberta Mckean-Cowdin17,45, Rohit Varma17,45, Mark I McCarthy46,47,48, Leif Groop49, Emma Ahlqvist49, Valeriya Lyssenko49,50, Elisabet Agardh49, Andrew Morris51, Alex S F Doney52, Helen M Colhoun53, Iiro Toppila54,55,56, Niina Sandholm54,55,56, Per-Henrik Groop54,55,56,57, Shiro Maeda14,15,16, Craig L Hanis18, Alan Penman58, Ching J Chen59, Heather Hancock59, Paul Mitchell60, Jamie E Craig61, Emily Y Chew62, Andrew D Paterson63,64,65, Michael A Grassi66,67, Colin Palmer68, Donald W Bowden7,8, Brian L Yaspan69, David Siscovick70, Mary Frances Cotch62, Jie Jin Wang5,60, Kathryn P Burdon71, Tien Y Wong5,72, Barbara E K Klein73, Ronald Klein73, Jerome I Rotter4, Sudha K Iyengar2, Alkes L Price1, Lucia Sobrin74.
Abstract
To identify genetic variants associated with diabetic retinopathy (DR), we performed a large multiethnic genome-wide association study. Discovery included eight European cohorts (n = 3,246) and seven African American cohorts (n = 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 P value <1 × 10-5 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 (NVL) was associated with DR in European discovery cohorts (P = 2.1 × 10-9), 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 (P = 0.0009) and corroborated with gene set enrichment analyses. These findings suggest that genetic variation in NVL, as well as variation within a protein-protein interaction network that includes genes implicated in inflammation, may influence risk for DR.Entities:
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Year: 2018 PMID: 30487263 PMCID: PMC6341299 DOI: 10.2337/db18-0567
Source DB: PubMed Journal: Diabetes ISSN: 0012-1797 Impact factor: 9.337