Article
Re-analysis and meta-analysis of summary statistics from gene-environment interaction studies.
Bioinformatics (Oxford, England) - 1 Dec 2023
Pham Duy T, Westerman Kenneth E, Pan Cong, Chen Ling, Srinivasan Shylaja, Isganaitis Elvira, Vajravelu Mary Ellen, Bacha Fida, Chernausek Steve, Gubitosi-Klug Rose, Divers Jasmin, Pihoker Catherine, Marcovina Santica M, Manning Alisa K, Chen Han
Abstract excerpt
MOTIVATION: statistics from genome-wide association studies enable many valuable downstream analyses that are more efficient than individual-level data analysis while also reducing privacy concerns. As growing sample sizes enable better-powered analysis of gene-environment interactions, there is a need for gene-environment interaction-specific methods that manipulate and use summary statistics. RESULTS: We...
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