Genetic classification of populations using supervised learning.

ABSTRACT: There are many instances in genetics in which we wish to determine whether two candidate populations are distinguishable on the basis of their genetic structure. Examples include populations which are geographically separated, case-control studies and quality control (when participants in a study have been genotyped at different laboratories). This latter application is of particular importance in the era of large scale genome wide association studies, when collections of individuals genotyped at different locations are being merged to provide increased power. The traditional method for detecting structure within a population is some form of exploratory technique such as principal components analysis. Such methods, which do not utilise our prior knowledge of the membership of the candidate

SUBMITTER: Bridges M 

PROVIDER: S-EPMC3093382 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature