Genome Scans for Detecting Footprints of Local Adaptation Using a Bayesian Factor Model

• Published in: Molecular biology and evolution Vol. 31; no. 9; pp. 2483 - 2495
• Main Authors: Duforet-Frebourg, Nicolas, Bazin, Eric, Blum, Michael G.B.
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 01.09.2014; Oxford University Press (OUP)
• Subjects: Adaptation; Adaptation, Biological; Bayes Theorem; Bayesian analysis; Clustering; Data analysis; Evolutionary biology; Genetic Variation; Genetics; Genome, Human; Genomes; Genomics; Genomics - methods; Humans; Life Sciences; Mathematical models; Methods; Molecular biology; Nucleotides; Outliers (statistics); Polymorphism, Single Nucleotide; Population (statistical); Population - genetics; Population differentiation; Population structure; Populations and Evolution; Single-nucleotide polymorphism; Software; population genomics; landscape genetics; population structure; selection scans; FST

There is a considerable impetus in population genomics to pinpoint loci involved in local adaptation. A powerful approach to find genomic regions subject to local adaptation is to genotype numerous molecular markers and look for outlier loci. One of the most common approaches for selection scans is...