Genetics
Japanese haplotypes would help in identifying genes associated with disease and drug response
By Perlegen Sciences, Inc.
Oct 29, 2005, 16:29

Researchers at Kyushu University of Japan, in collaboration with Perlegen Sciences, Inc., have identified common patterns of human DNA sequence variation, or haplotypes, in the Japanese population. By combining a unique set of DNA samples collected at the Medical Institute of Bioregulation at Kyushu University with Perlegen�s high throughput, whole-genome analysis approach, based on next generation Affymetrix GeneChip � technology, the collaborators identified common haplotypes that can be used to conduct comprehensive genetic research on human disease and variable response to medicines.

�Understanding the patterns of genetic variation in the Japanese population will greatly enhance our ability to identify genes associated with disease and drug response� stated Dr. Kenshi Hayashi, Professor of the Research Center for Genetic Information, Medical Institute of Bioregulation at Kyushu University. �The unique approach of this study complements the recently completed International HapMap project. Both studies make critical contributions to enabling personalized medicine in Japan.�

The collaboration between Kyushu University and Perlegen Sciences was particularly effective in identifying long-range haplotypes (over one million bases long). �With this study, Dr. Hayashi and his colleagues at Kyushu University have made an important contribution to medical research in Japan,� stated David Cox, Chief Scientific Officer of Perlegen. �It will enable researchers to identify the genetic factors that determine why drugs work well for some patients, but not for others.�

"Collaborating with the top researchers in Japan such as Dr. Hayashi is a priority for Perlegen,� stated Akira Usui, General Manager of Perlegen Japan, KK. �We are committed to improving the therapeutic treatments available to Japanese patients.�

Kyushu University and Perlegen Sciences will report their findings in the October 26 issue of Genome Research.

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