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

Author:

Anno Sumiko1,Abe Takashi2,Sairyo Koichi3,Kudo Susumu1,Yamamoto Takushi4,Ogata Koretsugu4,Goel Vijay K.5

Affiliation:

1. School of Engineering, Shibaura Institute of Technology, Koto-ku, Tokyo, Japan.

2. The laboratory for Research and Development of Biological Databases, National Institute of Genetics, Mishima-shi, Shizuoka, Japan.

3. Faculty of Medicine, The University of Tokushima, Tokushima-shi, Tokushima, Japan.

4. Shimadzu Biotech, Shimadzu Corporation, Kyoto-shi, Kyoto, Japan.

5. Department of Bioengineering, College of Engineering, University of Toledo, Toledo, Ohio, U.S.A.

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 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.

Publisher

SAGE Publications

Subject

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

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