Evaluating Genetic Associations & Interactions: Guidelines, Mega & Meta Analyses

Genomics|Update|Current

Evaluating Genetic Associations & Interactions: Guidelines, Mega & Meta Analyses

Meta-analyses of genetic association studies – PLOS ONE’s approach, by PLOS ONE Editors, Apr 4

An empirical comparison of meta-analysis and mega-analysis of individual participant data for identifying gene-environment interactions. 
Yun Ju Sung et al. Genetic Epidemiology, April 9, 2014

Cloud computing for detecting high-order genome-wide epistatic interaction via dynamic clustering.  [PDF 511.83 KB]
Xuan Guo et al. BMC Bioinformatics, April 2014

A fast and powerful tree-based association test for detecting complex joint effects in case-control studies. 
Han Zhang, et al. Bioinformatics April 2014

CDC paper: Assessment of cumulative evidence on genetic associations: interim guidelines
Ioannidis JP, et al. International Journal of Epidemiology (2008)

CDC paper: Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments  
Boffetta P et al. International Journal of Epidemiology (2012)