Detecting gene-by-smoking interactions in a genome-wide association study of early-onset coronary heart disease using random forests

• Published in: BMC proceedings Vol. 3; no. S7; p. S88
• Main Authors: Maenner, Matthew J, Denlinger, Loren C, Langton, Asher, Meyers, Kristin J, Engelman, Corinne D, Skinner, Halcyon G
• Format: Journal Article
• Language: English
• Published: England BioMed Central 15.12.2009; BioMed Central Ltd
• Subjects: Cardiovascular disease; Decision trees; Genetic engineering; Genomes; Genotype & phenotype; Health sciences; Heart; Heart attacks; Proceedings; Public health; Smoking; Studies; Workshops

Genome-wide association studies are often limited in their ability to attain their full potential due to the sheer volume of information created. We sought to use the random forest algorithm to identify single-nucleotide polymorphisms (SNPs) that may be involved in gene-by-smoking interactions relat...