Population Genomic Scans for Natural Selection and Demography

被引:1
作者
Cheng, Xiaoheng [1 ]
Steinrucken, Matthias [1 ,2 ]
机构
[1] Univ Chicago, Dept Ecol & Evolut, Chicago, IL 60637 USA
[2] Univ Chicago, Dept Human Genet, Chicago, IL USA
基金
美国国家卫生研究院;
关键词
population genetics; genomic variation; natural selection; demographic; history; RECENT POSITIVE SELECTION; BALANCING SELECTION; DETECTING SELECTION; INFERENCE; HISTORY; ADAPTATION; SWEEPS; MIGRATION; ADMIXTURE; MODELS;
D O I
10.1146/annurev-genet-111523-102651
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Uncovering the fundamental processes that shape genomic variation in natural populations is a primary objective of population genetics. These processes include demographic effects such as past changes in effective population size or gene flow between structured populations. Furthermore, genomic variation is affected by selection on nonneutral genetic variants, for example, through the adaptation of beneficial alleles or balancing selection that maintains genetic variation. In this article, we discuss the characterization of these processes using population genetic models, and we review methods developed on the basis of these models to unravel the underlying processes from modern population genomic data sets. We briefly discuss the conditions in which these approaches can be used to infer demography or identify specific nonneutral genetic variants and cases in which caution is warranted. Moreover, we summarize the challenges of jointly inferring demography and selective processes that affect neutral variation genome-wide.
引用
收藏
页码:319 / 339
页数:21
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