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Characterising private and shared signatures of positive selection in 37 Asian populations
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Metadata
Document Title
Characterising private and shared signatures of positive selection in 37 Asian populations
Author
Liu XY, Lu DS, Saw WY, Shaw PJ, Wangkumhang P, Ngamphiw C, Fucharoen S, Lert-itthiporn W, Chin-inmanu K, Chau TNB, Anders K, Kasturiratne A, de Silva HJ, Katsuya T, Kimura R, Nabika T, Ohkubo T, Tabara Y, Takeuchi F, Yamamoto K, Yokota M, Mamatyusupu D, Yang WJ, Chung YJ, Jin L, Hoh BP, Wickremasinghe AR, Ong RH, Khor CC, Dunstan SJ, Simmons C, Tongsima S, Suriyaphol P, Kato N, Xu SH, Teo YY
Name from Authors Collection
Affiliations
National University of Singapore; National University of Singapore; Chinese Academy of Sciences; Max Planck Society; Chinese Academy of Sciences; Shanghai Institutes for Biological Sciences, CAS; Max Planck Society; National University of Singapore; National Science & Technology Development Agency - Thailand; National Center Genetic Engineering & Biotechnology (BIOTEC); National Science & Technology Development Agency - Thailand; National Center Genetic Engineering & Biotechnology (BIOTEC); Mahidol University; Mahidol University; University of Oxford; University of Oxford; University Kelaniya; University Kelaniya; Osaka University; University of the Ryukyus; Shimane University; Teikyo University; Kyoto University; National Center for Global Health & Medicine - Japan; Kurume University; Aichi Gakuin University; Xinjiang University; Ningxia Medical University; Catholic University of Korea; Fudan University; Fudan University; UCSI University; Agency for Science Technology & Research (A*STAR); A*STAR - Genome Institute of Singapore (GIS); University of Melbourne; University of Melbourne; Mahidol University; ShanghaiTech University; National University of Singapore
Type
Article
Source Title
EUROPEAN JOURNAL OF HUMAN GENETICS
Year
2017
Volume
25
Issue
4
Page
499-508
Open Access
Green Submitted, Green Published, Bronze
Publisher
NATURE PUBLISHING GROUP
DOI
10.1038/ejhg.2016.181
Format
Abstract
The Asian Diversity Project (ADP) assembled 37 cosmopolitan and ethnic minority populations in Asia that have been densely genotyped across over half a million markers to study patterns of genetic diversity and positive natural selection. We performed population structure analyses of the ADP populations and divided these populations into four major groups based on their genographic information. By applying a highly sensitive algorithm haploPS to locate genomic signatures of positive selection, 140 distinct genomic regions exhibiting evidence of positive selection in at least one population were identified. We examined the extent of signal sharing for regions that were selected in multiple populations and observed that populations clustered in a similar fashion to that of how the ancestry clades were phylogenetically defined. In particular, populations predominantly located in South Asia underwent considerably different adaptation as compared with populations from the other geographical regions. Signatures of positive selection present in multiple geographical regions were predicted to be older and have emerged prior to the separation of the populations in the different regions. In contrast, selection signals present in a single population group tended to be of lower frequencies and thus can be attributed to recent evolutionary events.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
Funding Sponsor
National Natural Science Foundation of China [91331204, 31525014]; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences [QYZDJ-SSW-SYS009]; Program of Shanghai Academic Research Leader [16XD1404700]; Thailand Research Fund [RSA5860081]; Saw Swee Hock School of Public Health; National University Health System and the Life Sciences Institute from National University of Singapore; National Natural Science Foundation of China [91331204, 31525014]; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences [QYZDJ-SSW-SYS009]; Program of Shanghai Academic Research Leader [16XD1404700]; Thailand Research Fund [RSA5860081]; Saw Swee Hock School of Public Health; National University Health System and the Life Sciences Institute from National University of Singapore; Grants-in-Aid for Scientific Research [17H05131] Funding Source: KAKEN
License
Copyright
Rights
Macmillan Publishers Limited
Publication Source
WOS