Neutral genomic regions refine models of recent rapid human population growth

被引:62
作者
Gazave, Elodie [1 ]
Ma, Li [1 ]
Chang, Diana [1 ]
Coventry, Alex [2 ]
Gao, Feng [1 ]
Muzny, Donna [3 ]
Boerwinkle, Eric [3 ]
Gibbs, Richard A. [3 ]
Sing, Charles F. [4 ]
Clark, Andrew G. [2 ]
Keinan, Alon [1 ]
机构
[1] Cornell Univ, Dept Biol Stat & Computat Biol, Ithaca, NY 14853 USA
[2] Cornell Univ, Dept Mol Biol & Genet, Ithaca, NY 14853 USA
[3] Baylor Coll Med, Human Genome Sequencing Ctr, Houston, TX 77030 USA
[4] Univ Michigan, Dept Human Genet, Ann Arbor, MI 48105 USA
基金
美国国家卫生研究院;
关键词
NATURAL-SELECTION; HISTORY; MUTATIONS; EVOLUTION; FRAMEWORK; VARIANTS; REVEALS; ORIGIN; EXCESS; SIZE;
D O I
10.1073/pnas.1310398110
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Human populations have experienced dramatic growth since the Neolithic revolution. Recent studies that sequenced a very large number of individuals observed an extreme excess of rare variants and provided clear evidence of recent rapid growth in effective population size, although estimates have varied greatly among studies. All these studies were based on protein-coding genes, in which variants are also impacted by natural selection. In this study, we introduce targeted sequencing data for studying recent human history with minimal confounding by natural selection. We sequenced loci far from genes that meet a wide array of additional criteria such that mutations in these loci are putatively neutral. As population structure also skews allele frequencies, we sequenced 500 individuals of relatively homogeneous ancestry by first analyzing the population structure of 9,716 European Americans. We used very high coverage sequencing to reliably call rare variants and fit an extensive array of models of recent European demographic history to the site frequency spectrum. The best-fit model estimates similar to 3.4% growth per generation during the last similar to 140 generations, resulting in a population size increase of two orders of magnitude. This model fits the data very well, largely due to our observation that assumptions of more ancient demography can impact estimates of recent growth. This observation and results also shed light on the discrepancy in demographic estimates among recent studies.
引用
收藏
页码:757 / 762
页数:6
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