生物
渗入
选择(遗传算法)
进化生物学
基因组
定向选择
自然选择
1000基因组计划
单倍型
遗传学
人类基因组
人口
等位基因
遗传变异
基因型
基因
单核苷酸多态性
人工智能
人口学
计算机科学
社会学
作者
Leo Speidel,Marie Forest,Sinan Shi,Simon Myers
出处
期刊:Nature Genetics
[Springer Nature]
日期:2019-09-01
卷期号:51 (9): 1321-1329
被引量:283
标识
DOI:10.1038/s41588-019-0484-x
摘要
Knowledge of genome-wide genealogies for thousands of individuals would simplify most evolutionary analyses for humans and other species, but has remained computationally infeasible. We have developed a method, Relate, scaling to >10,000 sequences while simultaneously estimating branch lengths, mutational ages and variable historical population sizes, as well as allowing for data errors. Application to 1,000 Genomes Project haplotypes produces joint genealogical histories for 26 human populations. Highly diverged lineages are present in all groups, but most frequent in Africa. Outside Africa, these mainly reflect ancient introgression from groups related to Neanderthals and Denisovans, while African signals instead reflect unknown events unique to that continent. Our approach allows more powerful inferences of natural selection than has previously been possible. We identify multiple regions under strong positive selection, and multi-allelic traits including hair color, body mass index and blood pressure, showing strong evidence of directional selection, varying among human groups.
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