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Full-Text Articles in Medicine and Health Sciences
Fast And Powerful Genome Wide Association Of Dense Genetic Data With High Dimensional Imaging Phenotypes, Habib Ganjgahi, Anderson M. Winkler, David C. Glahn, John Blangero, Brian Donohue, Peter Kochunov, Thomas E. Nichols
Fast And Powerful Genome Wide Association Of Dense Genetic Data With High Dimensional Imaging Phenotypes, Habib Ganjgahi, Anderson M. Winkler, David C. Glahn, John Blangero, Brian Donohue, Peter Kochunov, Thomas E. Nichols
School of Medicine Publications and Presentations
Genome wide association (GWA) analysis of brain imaging phenotypes can advance our understanding of the genetic basis of normal and disorder-related variation in the brain. GWA approaches typically use linear mixed effect models to account for non-independence amongst subjects due to factors, such as family relatedness and population structure. The use of these models with high-dimensional imaging phenotypes presents enormous challenges in terms of computational intensity and the need to account multiple testing in both the imaging and genetic domain. Here we present a method that makes mixed models practical with high-dimensional traits by a combination of a transformation applied …
Exome Sequencing Identifies Genetic Variants Associated With Circulating Lipid Levels In Mexican Americans: The Insulin Resistance Atherosclerosis Family Study (Irasfs), Chuan Gao, Keri L. Tabb, Latchezar Dimitrov, Kent D. Taylor, Nan Wang, Xiuqing Guo, Jirong Long, Jerome I. Rotter, Richard M. Watanabe, Joanne E. Curran, John Blangero
Exome Sequencing Identifies Genetic Variants Associated With Circulating Lipid Levels In Mexican Americans: The Insulin Resistance Atherosclerosis Family Study (Irasfs), Chuan Gao, Keri L. Tabb, Latchezar Dimitrov, Kent D. Taylor, Nan Wang, Xiuqing Guo, Jirong Long, Jerome I. Rotter, Richard M. Watanabe, Joanne E. Curran, John Blangero
School of Medicine Publications and Presentations
Genome-wide association studies have identified numerous variants associated with lipid levels; yet, the majority are located in non-coding regions with unclear mechanisms. In the Insulin Resistance Atherosclerosis Family Study (IRASFS), heritability estimates suggest a strong genetic basis: low-density lipoprotein (LDL, h2 = 0.50), high-density lipoprotein (HDL, h2 = 0.57), total cholesterol (TC, h2 = 0.53), and triglyceride (TG, h2 = 0.42) levels. Exome sequencing of 1,205 Mexican Americans (90 pedigrees) from the IRASFS identified 548,889 variants and association and linkage analyses with lipid levels were performed. One genome-wide significant signal was detected in APOA5 with TG (rs651821, PTG = 3.67 …