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BetaScan2: Standardized Statistics to Detect Balancing Selection Utilizing Substitution Data.

Katherine M Siewert1, Benjamin F Voight2,3,4

  • 1Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania.

Genome Biology and Evolution
|February 4, 2020
PubMed
Summary

This study introduces the novel β(2) statistic to detect balancing selection using both genetic polymorphism and substitution data. Standardized β statistics show improved performance in simulations and identify potential balancing selection in human ACSBG2 gene data.

Keywords:
balancing selectionhuman evolutionselection scansselection statistics

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Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Genomics

Background:

  • Balancing selection maintains genetic diversity by favoring multiple alleles at a locus.
  • Previous methods, like β(1) statistics, relied solely on polymorphism data, limiting their scope.
  • Detecting balancing selection is crucial for understanding evolutionary processes and adaptation.

Purpose of the Study:

  • To develop a new statistic, β(2), incorporating both polymorphism and substitution data to detect balancing selection.
  • To standardize β statistics by deriving their variance, enhancing robustness and reducing confounding factors.
  • To evaluate the performance of standardized β statistics against existing methods.

Main Methods:

  • Development of the β(2) statistic integrating polymorphism and substitution data.
  • Derivation of the variance for all β statistics to enable standardization.
  • Simulation studies to compare the power of standardized β statistics with existing summary statistics.
  • Application of the β(2) statistic to the 1000 Genomes dataset.

Main Results:

  • The proposed β(2) statistic effectively detects balancing selection using combined data types.
  • Standardized β statistics demonstrate superior performance over existing methods in simulations.
  • Two missense mutations in the ACSBG2 gene were identified with high β scores, suggesting balancing selection.
  • The BetaScan2 software package is released for implementing these methods.

Conclusions:

  • Standardized β statistics offer a powerful and versatile approach for detecting balancing selection.
  • The β(2) statistic expands the toolkit for evolutionary genetic analyses.
  • The findings provide insights into potential balancing selection acting on the ACSBG2 gene in human populations.