DASH: a method for identical-by-descent haplotype mapping uncovers association with recent variation.

ABSTRACT: Rare variants affecting phenotype pose a unique challenge for human genetics. Although genome-wide association studies have successfully detected many common causal variants, they are underpowered in identifying disease variants that are too rare or population-specific to be imputed from a general reference panel and thus are poorly represented on commercial SNP arrays. We set out to overcome these challenges and detect association between disease and rare alleles using SNP arrays by relying on long stretches of genomic sharing that are identical by descent. We have developed an algorithm, DASH, which builds upon pairwise identical-by-descent shared segments to infer clusters of individuals likely to be sharing a single haplotype. DASH constructs a graph with nodes representing individuals

SUBMITTER: Gusev A 

PROVIDER: S-EPMC3113343 | biostudies-literature | 2011 Jun

REPOSITORIES: biostudies-literature