Detecting Selection from Linked Sites Using an


Journal

Genetics
ISSN: 1943-2631
Titre abrégé: Genetics
Pays: United States
ID NLM: 0374636

Informations de publication

Date de publication:
12 2020
Historique:
received: 17 05 2020
accepted: 03 10 2020
pubmed: 18 10 2020
medline: 15 7 2021
entrez: 17 10 2020
Statut: ppublish

Résumé

Allele frequencies vary across populations and loci, even in the presence of migration. While most differences may be due to genetic drift, divergent selection will further increase differentiation at some loci. Identifying those is key in studying local adaptation, but remains statistically challenging. A particularly elegant way to describe allele frequency differences among populations connected by migration is the

Identifiants

pubmed: 33067324
pii: genetics.120.303780
doi: 10.1534/genetics.120.303780
pmc: PMC7768260
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1205-1215

Informations de copyright

Copyright © 2020 by the Genetics Society of America.

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Auteurs

Marco Galimberti (M)

Department of Biology, University of Fribourg, 1700, Switzerland.
Swiss Institute of Bioinformatics, Fribourg, 1700, Switzerland.

Christoph Leuenberger (C)

Department of Mathematics, University of Fribourg, 1700, Switzerland.

Beat Wolf (B)

iCoSys, University of Applied Sciences Western Switzerland, Fribourg, 1700 Switzerland.

Sándor Miklós Szilágyi (SM)

Department of Informatics, University of Medicine, Pharmacy, Science and Technology of Târgu Mureş, Târgu Mureş, 540139, Romania.

Matthieu Foll (M)

International Agency for Research on Cancer (IARC/WHO), Section of Genetics, 69372 Lyon, France.

Daniel Wegmann (D)

Department of Biology, University of Fribourg, 1700, Switzerland daniel.wegmann@unifr.ch.
Swiss Institute of Bioinformatics, Fribourg, 1700, Switzerland.

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Classifications MeSH