Ontology highlight
ABSTRACT: Background
Polymorphic inversions are a source of genetic variability with a direct impact on recombination frequencies. Given the difficulty of their experimental study, computational methods have been developed to infer their existence in a large number of individuals using genome-wide data of nucleotide variation. Methods based on haplotype tagging of known inversions attempt to classify individuals as having a normal or inverted allele. Other methods that measure differences between linkage disequilibrium attempt to identify regions with inversions but unable to classify subjects accurately, an essential requirement for association studies.Results
We present a novel method to both identify polymorphic inversions from genome-wide genotype data and classify individuals as
SUBMITTER: Caceres A
PROVIDER: S-EPMC3296650 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature