Title |
Human genomic regions with exceptionally high levels of population differentiation identified from 911 whole-genome sequences
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Published in |
Genome Biology, June 2014
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DOI | 10.1186/gb-2014-15-6-r88 |
Pubmed ID | |
Authors |
Vincenza Colonna, Qasim Ayub, Yuan Chen, Luca Pagani, Pierre Luisi, Marc Pybus, Erik Garrison, Yali Xue, Chris Tyler-Smith, The 1000 Genomes Project Consortium |
Abstract |
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. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 20% |
India | 2 | 20% |
Spain | 1 | 10% |
Germany | 1 | 10% |
South Africa | 1 | 10% |
Unknown | 3 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 3 | 30% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 7 | 4% |
Brazil | 4 | 2% |
Ireland | 2 | 1% |
Finland | 2 | 1% |
Netherlands | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
France | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 179 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 56 | 28% |
Student > Ph. D. Student | 44 | 22% |
Student > Master | 19 | 10% |
Student > Bachelor | 14 | 7% |
Other | 12 | 6% |
Other | 38 | 19% |
Unknown | 17 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 95 | 48% |
Biochemistry, Genetics and Molecular Biology | 52 | 26% |
Medicine and Dentistry | 11 | 6% |
Computer Science | 7 | 4% |
Mathematics | 4 | 2% |
Other | 10 | 5% |
Unknown | 21 | 11% |