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Transcriptomics In Type 2 Diabetes: Bridging The Gap Between Genotype And Phenotype, Christopher Jenkinson, Harald H. H. Goring, Rector Arya, John Blangero, Ravindranath Duggirala, Ralph A. Defronzo
Transcriptomics In Type 2 Diabetes: Bridging The Gap Between Genotype And Phenotype, Christopher Jenkinson, Harald H. H. Goring, Rector Arya, John Blangero, Ravindranath Duggirala, Ralph A. Defronzo
School of Medicine Publications and Presentations
Type 2 diabetes (T2D) is a common,multifactorial disease that is influenced by genetic and environmental factors and their interactions. However, common variants identified by genome wide association studies (GWAS) explain only about 10% of the total trait variance for T2D and less than 5% of the variance for obesity, indicating that a large proportion of heritability is still unexplained. The transcriptomic approach described here uses quantitative gene expression and disease-related physiological data (deep phenotyping) to measure the direct correlation between the expression of specific genes and physiological traits. Transcriptomic analysis bridges the gulf between GWAS and physiological studies. Recent GWAS …
Shared Genetic Variance Between Obesity And White Matter Integrity In Mexican Americans, Elena A. Spieker, Peter Kochunov, Laura M. Rowland, Emma Sprooten, Anderson M. Winkler, Rene L. Olvera, Laura Almasy, Ravi Duggirala, Peter T. Fox, John Blangero, David C. Glahn, Joanne E. Curran
Shared Genetic Variance Between Obesity And White Matter Integrity In Mexican Americans, Elena A. Spieker, Peter Kochunov, Laura M. Rowland, Emma Sprooten, Anderson M. Winkler, Rene L. Olvera, Laura Almasy, Ravi Duggirala, Peter T. Fox, John Blangero, David C. Glahn, Joanne E. Curran
School of Medicine Publications and Presentations
Obesity is a chronic metabolic disorder that may also lead to reduced white matter integrity, potentially due to shared genetic risk factors. Genetic correlation analyses were conducted in a large cohort of Mexican American families in San Antonio (N = 761, 58% females, ages 18–81 years; 41.3 ± 14.5) from the Genetics of Brain Structure and Function Study. Shared genetic variance was calculated between measures of adiposity [(body mass index (BMI; kg/m2) and waist circumference (WC; in)] and whole-brain and regional measurements of cerebral white matter integrity (fractional anisotropy). Whole-brain average and regional fractional anisotropy values for 10 major …