Enhanced localization of genetic samples through linkage-disequilibrium correction.

ABSTRACT: Characterizing the spatial patterns of genetic diversity in human populations has a wide range of applications, from detecting genetic mutations associated with disease to inferring human history. Current approaches, including the widely used principal-component analysis, are not suited for the analysis of linked markers, and local and long-range linkage disequilibrium (LD) can dramatically reduce the accuracy of spatial localization when unaccounted for. To overcome this, we have introduced an approach that performs spatial localization of individuals on the basis of their genetic data and explicitly models LD among markers by using a multivariate normal distribution. By leveraging external reference panels, we derive closed-form solutions to the optimization procedure to achieve a comput

SUBMITTER: Baran Y 

PROVIDER: S-EPMC3675263 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature