14th Conference on Retroviruses and Opportunistic Infections Los Angeles, California - February 25-28, 2007

Conf Retrovir Opportunistic Infect 2007 Feb 25-28;14:abstract no. 3a

David Goldstein¹, K Shianna¹, and A Telenti^2
1Duke Univ, Durham, NC, US and ²Univ of Lausanne, Switzerland

BACKGROUND: Rapid developments in genotyping technologies now make it possible to represent most of the common variation in the human genome in genetic association studies. The size of these studies present considerable statistical and bioinformatic challenges. As part of the host genetics program in CHAVI we have developing a suite of software tools that facilitate the analysis and interpretation of whole genome association studies.

CONCLUSIONS: Here I describe these analysis tools and illustrate their use in a whole genome association study seeking to identifying genes influencing set point, making use of both samples from the MACS cohort and a new cohort, called EuroChavi, that has been developed as a collaboration between CHAVI and multiple European cohorts. I conclude with discussion of how CHAVI plans to integrate the analyses of different phenotypes related to how individuals respond to infection with HIV.

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2007-02-25
3a

Copyright © 2007 - Foundation for Retrovirology and Human Health. Reproduction of this abstract (other than one copy for personal reference) must be cleared through the Foundation for Retrovirology and Human Health.