Inference of relationships in population data using identity-by-descent and identity-by-state.

ABSTRACT: It is an assumption of large, population-based datasets that samples are annotated accurately whether they correspond to known relationships or unrelated individuals. These annotations are key for a broad range of genetics applications. While many methods are available to assess relatedness that involve estimates of identity-by-descent (IBD) and/or identity-by-state (IBS) allele-sharing proportions, we developed a novel approach that estimates IBD0, 1, and 2 based on observed IBS within windows. When combined with genome-wide IBS information, it provides an intuitive and practical graphical approach with the capacity to analyze datasets with thousands of samples without prior information about relatedness between individuals or haplotypes. We applied the method to a commonly used Human Var

SUBMITTER: Stevens EL 

PROVIDER: S-EPMC3178600 | biostudies-literature | 2011 Sep

REPOSITORIES: biostudies-literature