A Simple Test Identifies Selection on Complex Traits.

ABSTRACT: Important traits in agricultural, natural, and human populations are increasingly being shown to be under the control of many genes that individually contribute only a small proportion of genetic variation. However, the majority of modern tools in quantitative and population genetics, including genome-wide association studies and selection-mapping protocols, are designed to identify individual genes with large effects. We have developed an approach to identify traits that have been under selection and are controlled by large numbers of loci. In contrast to existing methods, our technique uses additive-effects estimates from all available markers, and relates these estimates to allele-frequency change over time. Using this information, we generate a composite statistic, denoted [Formula: se

SUBMITTER: Beissinger T 

PROVIDER: S-EPMC5937188 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature