This fine-mapping simulation study was performed to evaluate power to detect QTL and mapping precision by using linkage disequilibrium. Data were generated according to a 22 paternal half-sib families with different numbers of progeny (N=1034, 2036) mimicking the pedigree structure in a Dutch dairy cattle population. Twenty autosomes were generated with different map densities (5 cM, or 1 cM marker intervals), and a number of QTL with different magnitudes were randomly assigned across the chromosomes. Our simulation results showed that; (1) no QTL was detected on the test chromosomes where QTL were not assigned (no false positive QTL), (2) power to detect QTL increased as with dense marker map and large sample size, for which the latter contributed much more significantly to QTL detection while the former to precise QTL location.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume , , 21.18, 2006
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