Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits

By Shaun Purcell, S. Cherny, Pak Chung Sham. Bioinform., 2003

2,179 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7eb47e871809a7dcde90450d336319c26e26559e

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In Genetics

Citations in the corpus

PGA: power calculator for case-control genetic association analyses (2008, methodology): “Similarly to other popular software in this field [12-14], PGA incorporates basic power and sample size calculations for various genetic models and presents the results 'on the fly' in graphs and tables.”
The linkage disequilibrium and the selection of genetic markers for association studies in European populations (2007, background): “One of the crucial prerequisites for a successful association study is estimating the power to detect association (Purcell et al. 2003).”
Association Mapping for Enhancing Maize (Zea mays L.) Genetic Improvement (2011, background): “However, as has become standard practice in human genomics research (Purcell et al., 2003), plant genomics researchers should confi rm a high power of detection of their experimental design before initiating a study, preferably in the region of 99% (Gordon and Finch, 2005).”
Sources of Resistance, Inheritance, and Location of Genetic Loci Conferring Resistance to Members of the Tomato-Infecting Begomoviruses (2007, background): “This gene has a dominanceto-additive effect ratio of 0.47 (an additive effect of ‐1.1 and a dominance effect of ‐0.52), suggesting a nearly equal contribution to the variance of TYLCV resistance from additive and dominance effects ( Purcell et al., 2003 ).”
Assumption-Free Estimation of Heritability from Genome-Wide Identity-by-Descent Sharing between Full Siblings (2006, methodology): “Power was calculated using Web-based software for power of QTL analysis [ 43 ] at a type-I error rate of 0.05, which is appropriate because we performed a single hypothesis test.”
Characterization of a global germplasm collection and its potential utilization for analysis of complex quantitative traits in maize (2011, methodology): “All evaluations were performed using the Genetic Power Calculator (GPC, Purcell et al. 2003 ).”