作者: Mark Abney , Mary Sara McPeek , Carole Ober
DOI: 10.1086/302759
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摘要: Use of variance-component estimation for mapping quantitative-trait loci in humans is a subject great current interest. When only trait values, not genotypic information, are considered, can also be used to estimate heritability quantitative trait. Inbred pedigrees present special challenges estimation. First, there more variance components estimated the inbred case, even relatively simple model including additive, dominance, and environmental effects. Second, identity coefficients need calculated from an pedigree order perform estimation, these computationally difficult obtain than outbred case. As result, inbreeding effects have generally been ignored practice. We describe here calculation traits large pedigrees, using example HDL Hutterites. use multivariate normal genetic effects, extending central-limit theorem Lange allow both dominance under assumptions our model. simulated examples give indication what conditions one has power detect additional examine their impact on discuss implications by populations.