Exome-based case-control association study using extreme phenotype design reveals novel candidates with protective effect in diabetic retinopathy.

Autor: Shtir C; Population Genomics, Life Sciences Solutions, Thermo Fisher Scientific, Carlsbad, CA, 92008, USA., Aldahmesh MA; Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia., Al-Dahmash S; Department of Ophthalmology, College of Medicine, King Saud University, Riyadh, Saudi Arabia., Abboud E; Retina Department, Eye Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE., Alkuraya H; Department of Ophthalmology, Specialized Medical Center Hospital, Riyadh, Saudi Arabia., Abouammoh MA; Department of Ophthalmology, College of Medicine, King Saud University, Riyadh, Saudi Arabia., Nowailaty SR; Vitreoretinal Division, King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia., Al-Thubaiti G; Vitreoretinal Division, King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia., Naim EA; Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.; Saudi Human Genome Project, Riyadh, Saudi Arabia., ALYounes B; Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.; Saudi Human Genome Project, Riyadh, Saudi Arabia., Binhumaid FS; Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.; Saudi Human Genome Project, Riyadh, Saudi Arabia., ALOtaibi AB; Saudi Human Genome Project, Riyadh, Saudi Arabia.; King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia., Altamimi AS; Saudi Human Genome Project, Riyadh, Saudi Arabia.; King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia., Alamer FH; Saudi Human Genome Project, Riyadh, Saudi Arabia.; King Abdulaziz City for Science and Technology, Riyadh, Saudi Arabia., Hashem M; Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia., Abouelhoda M; Saudi Human Genome Project, Riyadh, Saudi Arabia., Monies D; Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.; Saudi Human Genome Project, Riyadh, Saudi Arabia., Alkuraya FS; Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia. falkuraya@kfshrc.edu.sa.; Saudi Human Genome Project, Riyadh, Saudi Arabia. falkuraya@kfshrc.edu.sa.
Jazyk: angličtina
Zdroj: Human genetics [Hum Genet] 2016 Feb; Vol. 135 (2), pp. 193-200. Date of Electronic Publication: 2015 Dec 22.
DOI: 10.1007/s00439-015-1624-8
Abstrakt: Unlabelled: Diabetic retinopathy (DR) is a common clinical expression of diabetes mellitus-induced vasculopathy and is a major cause of vision loss. Significant gaps remain in our understanding of the molecular pathoetiology of DR, and it is hoped that human genetic approaches can reveal novel targets especially since DR is a heritable trait. Previous studies have focused on genetic risk factors of DR but their results have been mixed. In this study, we hypothesized that the use of the extreme phenotype design will increase the power of a genomewide search for "protective" genetic variants. We enrolled a small yet atypical cohort of 43 diabetics who did not develop DR a decade or more after diagnosis (cases), and 64 diabetics with DR (controls), all of similar ethnic background (Saudi). Whole-exome sequencing of the entire cohort was followed by statistical analysis employing combined multivariate and collapsing methods at the gene level, to identify genes that are enriched for rare variants in cases vs.
Controls: Three genes (NME3, LOC728699, and FASTK) reached gene-based genome-wide significance at the 10(-08) threshold (p value = 1.55 × 10(-10), 6.23 × 10(-10), 3.21 × 10(-08), respectively). Our results reveal novel candidate genes whose increased rare variant burden appears to protect against DR, thus highlighting them as attractive candidate targets, if replicated by future studies, for the treatment and prevention of DR. Extreme phenotype design when implemented in sequencing-based genome-wide case-control studies has the potential to reveal novel candidates with a smaller cohort size compared to standard study designs.
Databáze: MEDLINE
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