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Gene Flow between the Korean Peninsula and Its Neighboring Countries

Overview of attention for article published in PLOS ONE, July 2010
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Title
Gene Flow between the Korean Peninsula and Its Neighboring Countries
Published in
PLOS ONE, July 2010
DOI 10.1371/journal.pone.0011855
Pubmed ID
Authors

Jongsun Jung, Hoyoung Kang, Yoon Shin Cho, Ji Hee Oh, Min Hyung Ryu, Hye Won Chung, Jeong-Sun Seo, Jong-Eun Lee, Bermseok Oh, Jong Bhak, Hyung-Lae Kim

Abstract

SNP markers provide the primary data for population structure analysis. In this study, we employed whole-genome autosomal SNPs as a marker set (54,836 SNP markers) and tested their possible effects on genetic ancestry using 320 subjects covering 24 regional groups including Northern (=16) and Southern (=3) Asians, Amerindians (=1), and four HapMap populations (YRI, CEU, JPT, and CHB). Additionally, we evaluated the effectiveness and robustness of 50K autosomal SNPs with various clustering methods, along with their dependencies on recombination hotspots (RH), linkage disequilibrium (LD), missing calls and regional specific markers. The RH- and LD-free multi-dimensional scaling (MDS) method showed a broad picture of human migration from Africa to North-East Asia on our genome map, supporting results from previous haploid DNA studies. Of the Asian groups, the East Asian group showed greater differentiation than the Northern and Southern Asian groups with respect to Fst statistics. By extension, the analysis of monomorphic markers implied that nine out of ten historical regions in South Korea, and Tokyo in Japan, showed signs of genetic drift caused by the later settlement of East Asia (South Korea, Japan and China), while Gyeongju in South East Korea showed signs of the earliest settlement in East Asia. In the genome map, the gene flow to the Korean Peninsula from its neighboring countries indicated that some genetic signals from Northern populations such as the Siberians and Mongolians still remain in the South East and West regions, while few signals remain from the early Southern lineages.

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Geographical breakdown

Country Count As %
Germany 2 6%
United States 1 3%
Unknown 32 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 29%
Student > Master 6 17%
Student > Ph. D. Student 5 14%
Student > Bachelor 3 9%
Student > Doctoral Student 2 6%
Other 7 20%
Unknown 2 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Social Sciences 4 11%
Medicine and Dentistry 4 11%
Biochemistry, Genetics and Molecular Biology 2 6%
Nursing and Health Professions 2 6%
Other 8 23%
Unknown 2 6%