Sampling strategies for accurate computational inferences of gametic phase across highly polymorphic major histocompatibility complex loci.

ABSTRACT:

Background

Genes of the Major Histocompatibility Complex (MHC) are very popular genetic markers among evolutionary biologists because of their potential role in pathogen confrontation and sexual selection. However, MHC genotyping still remains challenging and time-consuming in spite of substantial methodological advances. Although computational haplotype inference has brought into focus interesting alternatives, high heterozygosity, extensive genetic variation and population admixture are known to cause inaccuracies. We have investigated the role of sample size, genetic polymorphism and genetic structuring on the performance of the popular Bayesian PHASE algorithm. To cover this aim, we took advantage of a large database of known genotypes (using traditional laboratory-based techni

SUBMITTER: Alcaide M 

PROVIDER: S-EPMC3126723 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature