Article
Analyzing metabolomics data for association with genotypes using two-component Gaussian mixture distributions.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2018
Westra Jason, Hartman Nicholas, Lake Bethany, Shearer Gregory, Tintle Nathan
Abstract excerpt
Standard approaches to evaluate the impact of single nucleotide polymorphisms (SNP) on quantitative phenotypes use linear models. However, these normal-based approaches may not optimally model phenotypes which are better represented by Gaussian mixture distributions (e.g., some metabolomics data). We develop a likelihood ratio test on the mixing proportions of two-component Gaussian mixture distributions and...
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