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Full-Text Articles in Genetics and Genomics
A Genome-Wide Association Study Of Red-Blood Cell Fatty Acids And Ratios Incorporating Dietary Covariates: Framingham Heart Study Offspring Cohort, Anya Kalsbeek, Jenna Veenstra, Jason Westra, Craig Disselkoen, Kristin Koch, Katelyn A. Mckenzie, Jacob O'Bott, Jason Vander Woude, Karen Fischer, Greg C. Shearer, William S. Harris, Nathan L. Tintle
A Genome-Wide Association Study Of Red-Blood Cell Fatty Acids And Ratios Incorporating Dietary Covariates: Framingham Heart Study Offspring Cohort, Anya Kalsbeek, Jenna Veenstra, Jason Westra, Craig Disselkoen, Kristin Koch, Katelyn A. Mckenzie, Jacob O'Bott, Jason Vander Woude, Karen Fischer, Greg C. Shearer, William S. Harris, Nathan L. Tintle
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Recent analyses have suggested a strong heritable component to circulating fatty acid (FA) levels; however, only a limited number of genes have been identified which associate with FA levels. In order to expand upon a previous genome wide association study done on participants in the Framingham Heart Study Offspring Cohort and FA levels, we used data from 2,400 of these individuals for whom red blood cell FA profiles, dietary information and genotypes are available, and then conducted a genome-wide evaluation of potential genetic variants associated with 22 FAs and 15 FA ratios, after adjusting for relevant dietary covariates. Our analysis …
Analyzing Metabolomics Data For Association With Genotypes Using Two-Component Gaussian Mixture Distributions, Jason Westra, Nicholas Hartman, Bethany Lake, Gregory Shearer, Nathan L. Tintle
Analyzing Metabolomics Data For Association With Genotypes Using Two-Component Gaussian Mixture Distributions, Jason Westra, Nicholas Hartman, Bethany Lake, Gregory Shearer, Nathan L. Tintle
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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 consider more restrictive models to increase power in light of a priori biological knowledge. Data were simulated to validate the improved power of the likelihood ratio test and the restricted likelihood ratio test over a linear model and a log transformed linear model. Then, using real …