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Human genomic regions with exceptionally high or low levels of population differentiation identified from 911 whole-genome sequences

View ORCID ProfileVincenza Colonna, Qasim Ayub, Yuan Chen, Luca Pagani, Pierre Luisi, Marc Pybus, Erik Garrison, Yali Xue, Chris Tyler-Smith, The 1000 Genomes Project Consortium
doi: https://doi.org/10.1101/005462
Vincenza Colonna
1The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs. CB10 1SA, UK
2Institute of Genetics and Biophysics ‘A. Buzzati-Traverso’, National Research Council (CNR), Naples, Italy
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  • ORCID record for Vincenza Colonna
Qasim Ayub
1The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs. CB10 1SA, UK
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Yuan Chen
1The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs. CB10 1SA, UK
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Luca Pagani
1The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs. CB10 1SA, UK
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Pierre Luisi
3Institute of Evolutionary Biology (Universitat Pompeu Fabra-CSIC), CEXS-UPF-PRBB, Barcelona, Catalonia, Spain
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Marc Pybus
3Institute of Evolutionary Biology (Universitat Pompeu Fabra-CSIC), CEXS-UPF-PRBB, Barcelona, Catalonia, Spain
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Erik Garrison
4Department of Biology, Boston College, Chestnut Hill, Massachusetts, USA
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Yali Xue
1The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs. CB10 1SA, UK
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Chris Tyler-Smith
1The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambs. CB10 1SA, UK
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Abstract

Background Population differentiation has proved to be effective for identifying loci under geographically-localized positive selection, and has the potential to identify loci subject to balancing selection. We have previously investigated the pattern of genetic differentiation among human populations at 36.8 million genomic variants to identify sites in the genome showing high frequency differences. Here, we extend this dataset to include additional variants, survey sites with low levels of differentiation, and evaluate the extent to which highly differentiated sites are likely to result from selective or other processes.

Results We demonstrate that while sites of low differentiation represent sampling effects rather than balancing selection, sites showing extremely high population differentiation are enriched for positive selection events and that one half may be the result of classic selective sweeps. Among these, we rediscover known examples, where we actually identify the established functional SNP, and discover novel examples including the genes ABCA12, CALD1 and ZNF804, which we speculate may be linked to adaptations in skin, calcium metabolism and defense, respectively.

Conclusions We have identified known and many novel candidate regions for geographically restricted positive selection, and suggest several directions for further research.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted May 23, 2014.
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Human genomic regions with exceptionally high or low levels of population differentiation identified from 911 whole-genome sequences
Vincenza Colonna, Qasim Ayub, Yuan Chen, Luca Pagani, Pierre Luisi, Marc Pybus, Erik Garrison, Yali Xue, Chris Tyler-Smith, The 1000 Genomes Project Consortium
bioRxiv 005462; doi: https://doi.org/10.1101/005462
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Human genomic regions with exceptionally high or low levels of population differentiation identified from 911 whole-genome sequences
Vincenza Colonna, Qasim Ayub, Yuan Chen, Luca Pagani, Pierre Luisi, Marc Pybus, Erik Garrison, Yali Xue, Chris Tyler-Smith, The 1000 Genomes Project Consortium
bioRxiv 005462; doi: https://doi.org/10.1101/005462

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