ANALYSIS OF INFORMATION COMPONENTS OF TWIN DATA AND ITS APPLICATION FOR IDENTIFYING QUANTITATIVE TRAIT LOCI
L.S. KURAVSKY, P.A. KORNIENKO
Moscow City University of Education and Psychology
A new method for identifying quantitative trait loci that is based on both the information theory facilities and statistical hypothesis testing was proposed. Its principal feature is estimation of pseudosolutions of overdetermined sets of linear equations, which represent balances of genetic and environment infl uences. Th e capabilities of this approach are shown by the example of studying gender infl uences on children’s twin electroencephalography data.
Keywords: electroencephalography, quantitative trait loci, twins.