生物
自然选择
选择(遗传算法)
进化生物学
人口
平衡选择
群体遗传学
遗传变异
基因流
变化(天文学)
适应(眼睛)
人口规模
等位基因
遗传学
基因
人口学
计算机科学
机器学习
社会学
物理
神经科学
天体物理学
作者
Xiaoheng Cheng,Matthias Steinrücken
出处
期刊:Annual Review of Genetics
[Annual Reviews]
日期:2024-09-03
标识
DOI:10.1146/annurev-genet-111523-102651
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.
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