Asymptotic Variances of QTL Estimators With Selective DNA Pooling
Author(s) -
Carlos Carleos,
Jesús Ángel Baró de la Fuente,
Javier Cañón,
Norberto Corral
Publication year - 2003
Publication title -
journal of heredity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 92
eISSN - 1471-8505
pISSN - 0022-1503
DOI - 10.1093/jhered/esg026
Subject(s) - biology , quantitative trait locus , estimator , pooling , linkage (software) , context (archaeology) , genotyping , genetics , allele frequency , allele , statistics , computational biology , genotype , mathematics , computer science , gene , artificial intelligence , paleontology
Investigation on QTL-marker linkage usually requires a great number of observed recombinations, inferred from combined analysis of phenotypes and genotypes. To avoid costly individual genotyping, inferences on QTL position and effects can instead make use of marker allele frequencies. DNA pooling of selected samples makes allele frequency estimation feasible for studies involving large sample sizes. Linkage studies in outbred populations have traditionally exploited half-sib family designs; within the animal production context, half-sibships provide large families that are highly suitable for DNA pooling. Estimators for QTL position and effect have been proposed that make use of information from flanking markers. We present formulas derived by the delta method for the asymptotic variance of these estimators.
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