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Detecting ancient positive selection in humans using extended lineage sorting
Natural selection that affected modern humans early in their evolution has likely shaped some of the traits that set present-day humans apart from their closest extinct and living relatives. The ability to detect ancient natural selection in the human genome could provide insights into the molecular...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580715/ https://www.ncbi.nlm.nih.gov/pubmed/28720580 http://dx.doi.org/10.1101/gr.219493.116 |
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author | Peyrégne, Stéphane Boyle, Michael James Dannemann, Michael Prüfer, Kay |
author_facet | Peyrégne, Stéphane Boyle, Michael James Dannemann, Michael Prüfer, Kay |
author_sort | Peyrégne, Stéphane |
collection | PubMed |
description | Natural selection that affected modern humans early in their evolution has likely shaped some of the traits that set present-day humans apart from their closest extinct and living relatives. The ability to detect ancient natural selection in the human genome could provide insights into the molecular basis for these human-specific traits. Here, we introduce a method for detecting ancient selective sweeps by scanning for extended genomic regions where our closest extinct relatives, Neandertals and Denisovans, fall outside of the present-day human variation. Regions that are unusually long indicate the presence of lineages that reached fixation in the human population faster than expected under neutral evolution. Using simulations, we show that the method is able to detect ancient events of positive selection and that it can differentiate those from background selection. Applying our method to the 1000 Genomes data set, we find evidence for ancient selective sweeps favoring regulatory changes and present a list of genomic regions that are predicted to underlie positively selected human specific traits. |
format | Online Article Text |
id | pubmed-5580715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55807152017-09-14 Detecting ancient positive selection in humans using extended lineage sorting Peyrégne, Stéphane Boyle, Michael James Dannemann, Michael Prüfer, Kay Genome Res Method Natural selection that affected modern humans early in their evolution has likely shaped some of the traits that set present-day humans apart from their closest extinct and living relatives. The ability to detect ancient natural selection in the human genome could provide insights into the molecular basis for these human-specific traits. Here, we introduce a method for detecting ancient selective sweeps by scanning for extended genomic regions where our closest extinct relatives, Neandertals and Denisovans, fall outside of the present-day human variation. Regions that are unusually long indicate the presence of lineages that reached fixation in the human population faster than expected under neutral evolution. Using simulations, we show that the method is able to detect ancient events of positive selection and that it can differentiate those from background selection. Applying our method to the 1000 Genomes data set, we find evidence for ancient selective sweeps favoring regulatory changes and present a list of genomic regions that are predicted to underlie positively selected human specific traits. Cold Spring Harbor Laboratory Press 2017-09 /pmc/articles/PMC5580715/ /pubmed/28720580 http://dx.doi.org/10.1101/gr.219493.116 Text en © 2017 Peyrégne et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Method Peyrégne, Stéphane Boyle, Michael James Dannemann, Michael Prüfer, Kay Detecting ancient positive selection in humans using extended lineage sorting |
title | Detecting ancient positive selection in humans using extended lineage sorting |
title_full | Detecting ancient positive selection in humans using extended lineage sorting |
title_fullStr | Detecting ancient positive selection in humans using extended lineage sorting |
title_full_unstemmed | Detecting ancient positive selection in humans using extended lineage sorting |
title_short | Detecting ancient positive selection in humans using extended lineage sorting |
title_sort | detecting ancient positive selection in humans using extended lineage sorting |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5580715/ https://www.ncbi.nlm.nih.gov/pubmed/28720580 http://dx.doi.org/10.1101/gr.219493.116 |
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