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NATHAN SREBO

Mapping Disease Genes by Genetic Diversity

Our goal is to to locate chromosome regions containing a disease gene by whole-genome genotyping of unrelated affected individuals in a population that underwent a recent population bottleneck. We propose doing so by searching for chromosome regions with a low diversity ó i.e., such that many affected individuals carry the same genetic region.

In this work, we devised statistics to measure the genetic diversity of a chromosome region, and analyze the effectiveness of these statistics in distinguishing between regions containing an effecting disease gene and regions which are of randomly low diversity. Specifically, we calculated the required number of individuals we will need to genotype, as a function of the population history characteristics, the frequency of the disease and the relative risk of the gene.

We further analyzed the needed SNP map density, and the tradeoff between this density and the required number of genotyped individuals. We show that in the case of sparse SNP maps, with only a few SNP markers in a non-recombined region, different statistics should be used.

 
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