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Activity Number: 287 - Advanced Stochastic Models and Inference Methods for Large-Scale Phylogenetics
Type: Topic Contributed
Date/Time: Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #304762
Title: Modeling Site-To-Site Variability of Synonymous Substitution Rates: Impacts on Statistical Inference
Author(s): Spencer Muse* and Sadie Wisotsky and Sergei Kosakovsky Pond
Companies: North Carolina State University and Temple University and Temple University
Keywords: molecular evolution; synonymous substitution; positive selection; mixture model

Site-to-site variability of substitution rates has been a standard part of molecular evolutionary analyses for many years. However, the extensions of models and methods to specifically incorporate this type of variability for synonymous substitution rates is a relatively recent development, and their use in analyses is the exception rather than the rule. We will: present empirical analyses demonstrating the prevalence of site-to-site variation of synonymous substitution rates; show that ignoring this variability leads to substantial false-positive rates when conducting tests of adaptive selection; and introduce new methodology for conducting such tests in the presence of variable synonymous rates.

Authors who are presenting talks have a * after their name.

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