Leveraging Summary Statistics to Make Inferences about Complex Phenotypes in Large Biobanks, Angela Gasdaska, Derek Friend, Rachel Chen, Jason Westra, Matthew Zawistowski, William Lindsey, Nathan L. Tintle
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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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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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Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association, Kelsey E. Grinde, Jaron Arbet, Alden Green, Michael O'Connell, Alessandra Valcarcel, Jason Westra, Nathan L. Tintle
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Genome-wide Association Study of Saturated, Mono- and Polyunsaturated Red Blood Cell Fatty Acids in the Framingham Heart Offspring Study, Nathan L. Tintle, James V. Pottala, Sean Lacey, Vasan Ramachandran, Jason Westra, Ally Rogers, Jake Clark, Ben Olthoff, Martin Larson, William Harris, Gregory C. Shearer
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