| Literature DB >> 28098149 |
Xuanyao Liu1,2, Dongsheng Lu3, Woei-Yuh Saw2,4, Philip J Shaw5, Pongsakorn Wangkumhang5, Chumpol Ngamphiw5, Suthat Fucharoen6, Worachart Lert-Itthiporn7,8, Kwanrutai Chin-Inmanu8, Tran Nguyen Bich Chau9, Katie Anders9,10, Anuradhani Kasturiratne11, H Janaka de Silva12, Tomohiro Katsuya13, Ryosuke Kimura14, Toru Nabika15, Takayoshi Ohkubo16, Yasuharu Tabara17, Fumihiko Takeuchi18, Ken Yamamoto19, Mitsuhiro Yokota20, Dolikun Mamatyusupu21, Wenjun Yang22, Yeun-Jun Chung23, Li Jin24, Boon-Peng Hoh25, Ananda R Wickremasinghe11, RickTwee-Hee Ong2, Chiea-Chuen Khor26, Sarah J Dunstan9,10,27, Cameron Simmons9,10,28, Sissades Tongsima5, Prapat Suriyaphol8,29, Norihiro Kato18, Shuhua Xu3,30,31, Yik-Ying Teo1,2,4,18,26,32.
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.Mesh:
Year: 2017 PMID: 28098149 PMCID: PMC5386408 DOI: 10.1038/ejhg.2016.181
Source DB: PubMed Journal: Eur J Hum Genet ISSN: 1018-4813 Impact factor: 4.246