Article
Logistic Principal Component Analysis for Rare Variants in Gene-Environment Interaction Analysis.
IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000
Lu Meng, Lee Hye-Seung, Hadley David, Huang Jianhua Z, Qian Xiaoning
Abstract excerpt
The characteristics of low minor allele frequency (MAF) and weak individual effects make genome-wide association studies (GWAS) for rare variant single nucleotide polymorphisms (SNPs) more difficult when using conventional statistical methods. By aggregating the rare variant effects belonging to the same gene, collapsing is the most common way to enhance the detection of rare variant effects for association...
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