From Summary Statistics to Gene Trees: Methods for Inferring Positive Selection.
Trends Genet
; 36(4): 243-258, 2020 04.
Article
en En
| MEDLINE
| ID: mdl-31954511
ABSTRACT
Methods to detect signals of natural selection from genomic data have traditionally emphasized the use of simple summary statistics. Here, we review a new generation of methods that consider combinations of conventional summary statistics and/or richer features derived from inferred gene trees and ancestral recombination graphs (ARGs). We also review recent advances in methods for population genetic simulation and ARG reconstruction. Finally, we describe opportunities for future work on a variety of related topics, including the genetics of speciation, estimation of selection coefficients, and inference of selection on polygenic traits. Together, these emerging methods offer promising new directions in the study of natural selection.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Recombinación Genética
/
Selección Genética
/
Evolución Molecular
/
Genética de Población
Tipo de estudio:
Prognostic_studies
Idioma:
En
Revista:
Trends Genet
Asunto de la revista:
GENETICA
Año:
2020
Tipo del documento:
Article