Fine-scale map of encyclopedia of DNA elements regions in the Korean population

Yeon Kyeong Yoo, Xiayi Ke, Sungwoo Hong, Hye Yoon Jang, Kyunghee Park, Sook Kim, Taejin Ahn, Yeun Du Lee, Okryeol Song, Na Young Rho, Sue Lee Moon, Yeon Su Lee, Jaeheup Kim, Young J. Kim, Jun Mo Yang, Kyuyoung Song, Kyuchan Kimm, Bruce Weir, Lon R. Cardon, Jong Eun LeeJung Joo Hwang

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The International HapMap Project aims to generate detailed human genome variation maps by densely genotyping single-nucleotide polymorphisms (SNPs) in CEPH, Chinese, Japanese, and Yoruba samples. This will undoubtedly become an important facility for genetic studies of diseases and complex traits in the four populations. To address how the genetic information contained in such variation maps is transferable to other populations, the Korean government, industries, and academics have launched the Korean HapMap project to genotype high-density Encyclopedia of DNA Elements (ENCODE) regions in 90 Korean individuals. Here we show that the LD pattern, block structure, haplotype diversity, and recombination rate are highly concordant between Korean and the two HapMap Asian samples, particularly Japanese. The availability of information from both Chinese and Japanese samples helps to predict more accurately the possible performance of HapMap markers in Korean disease-gene studies. Tagging SNPs selected from the two HapMap Asian maps, especially the Japanese map, were shown to be very effective for Korean samples. These results demonstrate that the HapMap variation maps are robust in related populations and will serve as an important resource for the studies of the Korean population in particular. Copyright © 2006 by the Genetics Society of America.
    Original languageEnglish
    Pages (from-to)491-497
    Number of pages6
    JournalGenetics
    Volume174
    Issue number1
    DOIs
    Publication statusPublished - 2006

    Keywords

    • genetics: Asian Continental Ancestry Group
    • methods: Chromosome Mapping
    • analysis: DNA
    • Databases, Nucleic Acid
    • methods: Genetics, Population
    • Genome, Human
    • Genotype
    • Humans
    • Korea
    • Linkage Disequilibrium
    • Polymorphism, Single Nucleotide
    • Recombination, Genetic

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