A bimodal distribution of estimated sample size was observed, particularly if more than two causative variants were assumed. We simulated multiple paternal half-sib families and considered a target region of 1 Mbp. This quantity employs the theoretical instead of observed dependence between SNPs it can be set up as a function of paternal and maternal LD for any given population structure. Based on the commonly applied SNP-BLUP approach, we determine the z-score statistic for locally testing non-zero SNP effects and investigate its distribution under the alternative hypothesis. MethodsĪ multi-locus model allows to identify causative variants simultaneously, to state their positions more precisely and to account for existing dependencies. ![]() We study the design of experiments for fine-mapping of signals of a quantitative trait locus in such a target region. Sample size has not only a crucial impact on the precision of parameter estimates, it also ensures that a desired level of statistical power can be reached. Thus, often target regions instead of single SNPs are reported. ![]() High linkage disequilibrium (LD) among SNPs makes it difficult to identify causative variants correctly. Single nucleotide polymorphisms (SNPs) which capture a significant impact on a trait can be identified with genome-wide association studies.
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