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