4.8 Article

Characterization of Greater Middle Eastern genetic variation for enhanced disease gene iscovery

期刊

NATURE GENETICS
卷 48, 期 9, 页码 1071-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/ng.3592

关键词

-

资金

  1. US National Institutes of Health [P01HD070494, R01NS048453]
  2. Qatari National Research Foundation [NPRP6-1463]
  3. Simons Foundation Autism Research Initiative [175303, 275275]
  4. Yale Center for Mendelian Disorders [U54HG006504]
  5. Broad Institute [U54HG003067]
  6. Rockefeller University CTSA [5UL1RR024143-04]
  7. Howard Hughes Medical Institute
  8. INSERM
  9. St. Giles Foundation
  10. Candidoser Association [R01AI088364, R37AI095983, P01AI061093, U01AI109697, U01AI088685, R21AI107508]
  11. DHFMR Collaborative Research Grant
  12. KACST [13-BIO1113-20]

向作者/读者索取更多资源

The Greater Middle East (GME) has been a central hub of human migration and population admixture. The tradition of consanguinity, variably practiced in the Persian Gulf region, North Africa, and Central Asia(1-3), has resulted in an elevated burden of recessive disease(4). Here we generated a whole-exome GME variome from 1,111 unrelated subjects. We detected substantial diversity and admixture in continental and subregional populations, corresponding to several ancient founder populations with little evidence of bottlenecks. Measured consanguinity rates were an order of magnitude above those in other sampled populations, and the GME population exhibited an increased burden of runs of homozygosity (ROHs) but showed no evidence for reduced burden of deleterious variation due to classically theorized 'genetic purging'. Applying this database to unsolved recessive conditions in the GME population reduced the number of potential disease-causing variants by four-to sevenfold. These results show variegated genetic architecture in GME populations and support future human genetic discoveries in Mendelian and population genetics.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据