BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data. (3rd February 2020)

• Record Type: Journal Article
• Authors: Siewert, Katherine M; Voight, Benjamin F
• Editors: Katz, Laura A
• Is Part Of: Genome biology and evolution. Volume 12:Number 2(2020)
• Page Start: 3873
• Page End: 3877
• Publication Date: 2020-02-03
• Subjects: balancing selection -- selection scans -- human evolution -- selection statistics; Genomics -- Periodicals; Genes -- Periodicals; 572.8605
• DOI: 10.1093/gbe/evaa013
• Languages: English
• ISSNs: 1759-6653

Abstract

Abstract: Long-term balancing selection results in a build-up of alleles at similar frequencies and a deficit of substitutions when compared with an outgroup at a locus. The previously published β ( 1 ) statistics detect balancing selection using only polymorphism data. We now propose the β ( 2 ) statistic which detects balancing selection using both polymorphism and substitution data. In addition, we derive the variance of all β statistics, allowing for their standardization and thereby reducing the influence of parameters which can confound other selection tests. The standardized β statistics outperform existing summary statistics in simulations, indicating β is a well-powered and widely applicable approach for detecting balancing selection. We apply the β ( 2 ) statistic to 1000 Genomes data and report two missense mutations with high β scores in the ACSBG2 gene. An implementation of all β statistics and their standardization are available in the BetaScan2 software package at https://github.com/ksiewert/BetaScan .