Cambridge Healthtech Institute’s Third Annual Conference on Human Genetic Variation

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Abstract
A major goal of pharmacogenomics is to identify the human genetic variation that influences susceptibility to complex diseases. Recently, theoretical statistical analyses have suggested that genes for complex diseases may be found by linkage disequilibrium (i.e., association). Single nucleotide polymorphism (SNP) susceptibility alleles for common diseases can occur at high frequencies in various populations and, thus, have a major impact on morbidity and mortality. To be successful, SNP mapping studies require successful teamwork, integrating clinicians, epidemiologists, molecular genetics experts, laboratory automation engineers, bioinformatics and database experts. New statistical methods are also developing rapidly and promise to further increase the power of these studies. A recent conference on human genetic variation provided an opportunity for experts in all of these disciplines to exchange ideas. At present, great technological challenges need to be overcome in order to increase the throughput greatly while lowering cost and still maintaining high accuracy for SNP genotyping. Although this approach is relatively new (at least on the scale now being contemplated), the large payoffs anticipated to accrue from the successful mapping of SNPs in disease genes has led the area to be very strongly supported by both public and private funding sources. The potential payoff for improving disease diagnosis and therapeutic efficacy, with better avoidance of adverse events based on SNP associations, is providing a tremendous incentive to move this effort forward at an ever-accelerating pace.

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