Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data.

By P. Sham, S. Cherny, S. Purcell, John K. Hewitt. 2000

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Genome-wide association studies: theoretical and practical concerns (2005, background): “r 2 is informative in association analyses because it is inversely proportional to the sample size that is required for detecting disease association given a fixed genetic ris”
Assumption-Free Estimation of Heritability from Genome-Wide Identity-by-Descent Sharing between Full Siblings (2006, background): “alleles IBD; note that this variance could be used as a weight in gene mapping studies. To a first order approximation, the sampling variance of the estimate of the heritability, relative to the situation of perfect marker information, is increased by the reciprocal of the average genome-wide inform”
Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits (2003, methodology): “…whom correspondence should be addressed. researcher in performing such calculations (Cardon and Fulker, 1994; Carey and Williamson, 1991; Nance and Neale, 1989; Neale et al., 1994; Schmitz et al., 1998; Sham et al., 2000; Suarez et al., 1982) there are few software tools to make the task practical.”