ArticleScientific reports2017
Allele Age Under Non-Classical Assumptions is Clarified by an Exact Computational Markov Chain Approach.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Characterizing Amino Acid Substitution with Complete Linkage of Sites on a Lineage.Genome biology and evolution · 2021Article
- Detecting Selection on Segregating Gene Duplicates in a Population.Journal of molecular evolution · 2021Article
- An estimator of first coalescent time reveals selection on young variants and large heterogeneity in rare allele ages among human populations.PLoS genetics · 2019Article
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Authors and funding
3 authors.
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Abstract
Determination of the age of an allele based on its population frequency is a well-studied problem in population genetics, for which a variety of approximations have been proposed. We present a new result that, surprisingly, allows the expectation and variance of allele age to be computed exactly (within machine precision) for any finite absorbing Markov chain model in a matter of seconds. This approach makes none of the classical assumptions (e.g., weak selection, reversibility, infinite sites), exploits modern sparse linear algebra techniques, integrates over all sample paths, and is rapidly computable for Wright-Fisher populations up to N
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