Identifying the Favored Mutation in a Positive Selective Sweep

Methods to identify signatures of selective sweeps in population genomics data have been actively developed, but mostly do not identify the specific mutation favored by selection. We present a method, iSAFE, that uses a statistic derived solely from population genetics signals to accurately pinpoint...

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Detalles Bibliográficos
Autores principales: Akbari, Ali, Vitti, Joseph J., Iranmehr, Arya, Bakhtiari, Mehrdad, Sabeti, Pardis C., Mirarab, Siavash, Bafna, Vineet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231406/
https://www.ncbi.nlm.nih.gov/pubmed/29457793
http://dx.doi.org/10.1038/nmeth.4606
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author Akbari, Ali
Vitti, Joseph J.
Iranmehr, Arya
Bakhtiari, Mehrdad
Sabeti, Pardis C.
Mirarab, Siavash
Bafna, Vineet
author_facet Akbari, Ali
Vitti, Joseph J.
Iranmehr, Arya
Bakhtiari, Mehrdad
Sabeti, Pardis C.
Mirarab, Siavash
Bafna, Vineet
author_sort Akbari, Ali
collection PubMed
description Methods to identify signatures of selective sweeps in population genomics data have been actively developed, but mostly do not identify the specific mutation favored by selection. We present a method, iSAFE, that uses a statistic derived solely from population genetics signals to accurately pinpoint the favored mutation in a large region (~5 Mbp). iSAFE does not require any knowledge of demography, specific phenotype under selection, or functional annotations of mutations.
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spelling pubmed-62314062018-11-12 Identifying the Favored Mutation in a Positive Selective Sweep Akbari, Ali Vitti, Joseph J. Iranmehr, Arya Bakhtiari, Mehrdad Sabeti, Pardis C. Mirarab, Siavash Bafna, Vineet Nat Methods Article Methods to identify signatures of selective sweeps in population genomics data have been actively developed, but mostly do not identify the specific mutation favored by selection. We present a method, iSAFE, that uses a statistic derived solely from population genetics signals to accurately pinpoint the favored mutation in a large region (~5 Mbp). iSAFE does not require any knowledge of demography, specific phenotype under selection, or functional annotations of mutations. 2018-02-19 2018-04 /pmc/articles/PMC6231406/ /pubmed/29457793 http://dx.doi.org/10.1038/nmeth.4606 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Akbari, Ali
Vitti, Joseph J.
Iranmehr, Arya
Bakhtiari, Mehrdad
Sabeti, Pardis C.
Mirarab, Siavash
Bafna, Vineet
Identifying the Favored Mutation in a Positive Selective Sweep
title Identifying the Favored Mutation in a Positive Selective Sweep
title_full Identifying the Favored Mutation in a Positive Selective Sweep
title_fullStr Identifying the Favored Mutation in a Positive Selective Sweep
title_full_unstemmed Identifying the Favored Mutation in a Positive Selective Sweep
title_short Identifying the Favored Mutation in a Positive Selective Sweep
title_sort identifying the favored mutation in a positive selective sweep
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231406/
https://www.ncbi.nlm.nih.gov/pubmed/29457793
http://dx.doi.org/10.1038/nmeth.4606
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