Multiethnic Genome-Wide Association Study of Diabetic Retinopathy Using Liability Threshold Modeling of Duration of Diabetes and Glycemic Control
Author(s) -
Samuela Pollack,
Robert P. Igo,
Richard A. Jensen,
Mark Christiansen,
Xiaohui Li,
ChingYu Cheng,
Maggie C. Y. Ng,
Albert V. Smith,
Elizabeth J. Rossin,
Ayellet V. Segrè,
Samaneh Davoudi,
Gavin Siew Wei Tan,
YiiDer Ida Chen,
Jane Z. Kuo,
Latchezar Dimitrov,
Lynn K. Stanwyck,
Weihua Meng,
Sayed Mohsen Hosseini,
Minako Imamura,
Darryl Nousome,
Jihye Kim,
Yang Hai,
Yucheng Jia,
Jeeyun Ahn,
Aaron Leong,
Kaanan P. Shah,
Kyu Hyung Park,
Xiuqing Guo,
Eli Ipp,
Kent D. Taylor,
Sharon G. Adler,
John R. Sedor,
Barry I. Freedman,
ITe Lee,
Wayne H.-H. Sheu,
Michiaki Kubo,
Atsushi Takahashi,
Samy Hadjadj,
Michel Marre,
DavidAlexandre Trégouët,
Roberta McKeanCowdin,
Rohit Varma,
Mark I. McCarthy,
PerHenrik Groop,
Emma Ahlqvist,
Valeriya Lyssenko,
Elisabet Agardh,
Andrew P. Morris,
Alex S. F. Doney,
Helen M. Colhoun,
Iiro Toppila,
Niina Sandholm,
Shiro Maeda,
Craig L. Hanis,
Alan D. Penman,
Ching J. Chen,
Heather Hancock,
Paul Mitchell,
Jamie E. Craig,
Emily Y. Chew,
Andrew D. Paterson,
Michael A. Grassi,
Nicholette D. Palmer,
Donald W. Bowden,
Brian L. Yaspan,
David Siscovick,
Mary Frances Cotch,
Jie Jin Wang,
Kathryn P. Burdon,
Tien Yin Wong,
Barbara E.K. Klein,
Ronald Klein,
Jerome I. Rotter,
Sudha K. Iyengar,
Alkes L. Price,
Lucia Sobrin
Publication year - 2018
Publication title -
diabetes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.219
H-Index - 330
eISSN - 1939-327X
pISSN - 0012-1797
DOI - 10.2337/db18-0567
Subject(s) - glycemic , genome wide association study , disease , diabetes mellitus , biology , genetic association , single nucleotide polymorphism , gene , genetics , medicine , oncology , bioinformatics , endocrinology , genotype
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.
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