論文

査読有り
2007年

Interactions Between SNP Alleles at Multiple Loci and Variation in Skin Pigmentation in 122 Caucasians

EVOLUTIONARY BIOINFORMATICS
  • Sumiko Anno
  • ,
  • Takashi Abe
  • ,
  • Koichi Sairyo
  • ,
  • Susumu Kudo
  • ,
  • Takushi Yamamoto
  • ,
  • Koretsugu Ogata
  • ,
  • Vijay K. Goel

3
開始ページ
169
終了ページ
178
記述言語
英語
掲載種別
研究論文(学術雑誌)
出版者・発行元
LIBERTAS ACAD

This study was undertaken to clarify the molecular basis for human skin color variation and the environmental adaptability to ultraviolet irradiation, with the ultimate goal of predicting the impact of changes in future environments on human health risk. One hundred twenty-two Caucasians living in Toledo, Ohio participated. Back and cheek skin were assayed for melanin as a quantitative trait marker. Buccal cell samples were collected and used for DNA extraction. DNA was used for SNP genotyping using the Masscode (TM) system, which entails two-step PCR amplification and a platform chemistry which allows cleavable mass spectrometry tags. The results show gene-gene interaction between SNP alleles at multiple loci (not necessarily on the same chromosome) contributes to inter-individual skin color variation while suggesting a high probability of linkage disequilibrium. Confirmation of these findings requires further study with other ethic groups to analyze the associations between SNP alleles at multiple loci and human skin color variation. Our overarching goal is to use remote sensing data to clarify the interaction between atmospheric environments and SNP allelic frequency and investigate human adaptability to ultraviolet irradiation. Such information should greatly assist in the prediction of the health effects of future environmental changes such as ozone depletion and increased ultraviolet exposure. If such health effects are to some extent predictable, it might be possible to prepare for such changes in advance and thus reduce the extent of their impact.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000206500600013&DestApp=WOS_CPL
ID情報
  • ISSN : 1176-9343
  • Web of Science ID : WOS:000206500600013

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