Article
On the analysis of a repeated measure design in genome-wide association analysis.
International journal of environmental research and public health - 28 Nov 2014
Lee Young, Park Suyeon, Moon Sanghoon, Lee Juyoung, Elston Robert C, Lee Woojoo, Won Sungho
Abstract excerpt
Longitudinal data enables detecting the effect of aging/time, and as a repeated measures design is statistically more efficient compared to cross-sectional data if the correlations between repeated measurements are not large. In particular, when genotyping cost is more expensive than phenotyping cost, the collection of longitudinal data can be an efficient strategy for genetic association analysis. However, in...
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