Accurate Non-parametric Estimation of Recent Effective Population Size from Segments of Identity by Descent

被引：222

作者：

Browning, Sharon R. ^{[1
]}

Browning, Brian L. ^{[2
]}

机构：

[1] Univ Washington, Dept Biostat, Seattle, WA 98195 USA

[2] Univ Washington, Dept Med, Div Med Genet, Seattle, WA 98195 USA

来源：

AMERICAN JOURNAL OF HUMAN GENETICS | 2015年 / 97卷 / 03期

基金：

英国惠康基金;

关键词：

DETECTING IDENTITY; GENOME SEQUENCES; HISTORY; EVOLUTION; VARIANTS; LESSONS; FINLAND; GROWTH; EXCESS;

D O I：

10.1016/j.ajhg.2015.07.012

中图分类号：

Q3 [遗传学];

学科分类号：

071007 [遗传学];

摘要：

Existing methods for estimating historical effective population size from genetic data have been unable to accurately estimate effective population size during the most recent past. We present a non-parametric method for accurately estimating recent effective population size by using inferred long segments of identity by descent (IBD). We found that inferred segments of IBD contain information about effective population size from around 4 generations to around 50 generations ago for SNP array data and to over 200 generations ago for sequence data. In human populations that we examined, the estimates of effective size were approximately one-third of the census size. We estimate the effective population size of European-ancestry individuals in the UK four generations ago to be eight million and the effective population size of Finland four generations ago to be 0.7 million. Our method is implemented in the open-source IBDNe software package.

引用

页码：404 / 418

页数：15

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