Interactions between SNP alleles at multiple loci and variation in skin pigmentation in 122 caucasians

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

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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™ system, which entails two-step PCR amplifi cation 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. Confi rmation of these fi ndings 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.

Original languageEnglish
Pages (from-to)169-178
Number of pages10
JournalEvolutionary Bioinformatics
Volume3
DOIs
Publication statusPublished - Sept 6 2007
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Computer Science Applications

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