BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data
| Autor: | Benjamin F. Voight, Katherine M. Siewert |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Letter Computer science balancing selection Locus (genetics) Standard score Biology computer.software_genre Balancing selection 010603 evolutionary biology 01 natural sciences selection scans 03 medical and health sciences human evolution Gene Frequency Statistics Genetics Selection Genetic 1000 Genomes Project Alleles Ecology Evolution Behavior and Systematics Statistic 030304 developmental biology Measure (data warehouse) 0303 health sciences Polymorphism Genetic Substitution (logic) Variance (accounting) Extension (predicate logic) Software package Summary statistics Biological Evolution Feature (computer vision) Data mining selection statistics computer Software |
| Zdroj: | Genome Biology and Evolution |
| ISSN: | 1759-6653 |
| DOI: | 10.1093/gbe/evaa013 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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