Population Genomics, Life Sciences Solutions, Thermo Fisher Scientific, Carlsbad, CA, 92008, USA.
Department of Genetics, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Hum Genet. 2016 Feb;135(2):193-200. doi: 10.1007/s00439-015-1624-8. Epub 2015 Dec 22.
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.
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.
本研究旨在探讨极端表型设计在全基因组病例对照研究中应用于全外显子测序,以增加对“保护性”遗传变异的搜索能力。
我们招募了一个小而特殊的队列,其中包括 43 名在诊断后 10 年或更长时间未发生糖尿病视网膜病变(DR)的糖尿病患者(病例),以及 64 名患有 DR 的糖尿病患者(对照组),所有患者均具有相似的种族背景(沙特阿拉伯)。对整个队列进行全外显子测序,然后采用联合多变量和基因水平合并方法进行统计分析,以鉴定在病例中与对照相比稀有变异丰富的基因。
有 3 个基因(NME3、LOC728699 和 FASTK)在基因水平达到了全基因组显著意义(10(-08)阈值,p 值分别为 1.55×10(-10)、6.23×10(-10)和 3.21×10(-08))。
我们的结果揭示了一些新的候选基因,其稀有变异负担的增加似乎可以预防 DR,因此,如果未来的研究能够复制这些结果,这些基因可能成为治疗和预防 DR 的有吸引力的候选靶点。与标准研究设计相比,在基于测序的全基因组病例对照研究中实施极端表型设计,具有在较小的队列中揭示新候选基因的潜力。