Recent successes in genetic mapping have demonstrated that the technological capability now exists to identify the genes responsible for complex disorders. To be successful in such endeavors, it is necessary to combine expertise in genetic epidemiology, clinical investigation, molecular genotyping, and mathematical genetic analysis. The goal of the Human Genetics Core is to offer such expertise to DERC investigators conducting studies into the genetics of diabetes, its complications and related endocrine disorders. To achieve this objective, the Human Genetics Core will: 1) assist DERC investigators with initial study design; 2) establish and maintain EBV transformed lymphoblastoid cell lines and generate nonviable cell pellets for DNA/RNA isolation; 3) develop a panel of anonymized lymphoblastoid cell lines from subjects well characterized for diabetes and/or insulin sensitivity which can be made available to DERC investigators for such purposes as searching for mutations in specific candidate genes and evaluating differential expression of candidate genes as a function of insulin resistance; 4) provide genotyping services including genome scans, microsatellite and SNP testing of candidate genes; and 5) assist in the performance of a wide range of analytic techniques, including: segregation analysis, heritability estimation, population and family-based association, parametric and non-parametric linkage analysis, multipoint variance component linkage analysis, and linkage disequilibrium mapping. The Human Genetics Core will also provide the training to DERC investigators and their staffs to enable them to perform many of these procedures themselves with ongoing consultative support from Core staff. The DERC offers a unique opportunity to facilitate research directed at identifying the genes responsible for Type 2 diabetes and related disorders, including complications, by providing access to both the expertise and facilities necessary for such genetic research in human populations.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK063491-04
Application #
7550781
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2006-05-01
Budget End
2007-04-30
Support Year
4
Fiscal Year
2006
Total Cost
$144,072
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Guo, Y; Moon, J-Y; Laurie, C C et al. (2018) Genetic predisposition to obesity is associated with asthma in US Hispanics/Latinos: Results from the Hispanic Community Health Study/Study of Latinos. Allergy 73:1547-1550
Hoeksema, Marten A; Glass, Christopher K (2018) Nature and nurture of tissue-specific macrophage phenotypes. Atherosclerosis :
Leary, Peter J; Kronmal, Richard A; Bluemke, David A et al. (2018) Histamine H2 Receptor Polymorphisms, Myocardial Transcripts, and Heart Failure (from the Multi-Ethnic Study of Atherosclerosis and Beta-Blocker Effect on Remodeling and Gene Expression Trial). Am J Cardiol 121:256-261
Kim, Ju Youn; Garcia-Carbonell, Ricard; Yamachika, Shinichiro et al. (2018) ER Stress Drives Lipogenesis and Steatohepatitis via Caspase-2 Activation of S1P. Cell 175:133-145.e15
Sheng, Yuewei; Capri, Joseph; Waring, Alan et al. (2018) Exposure of Solvent-Inaccessible Regions in the Amyloidogenic Protein Human SOD1 Determined by Hydroxyl Radical Footprinting. J Am Soc Mass Spectrom :
Emdin, Connor A; Khera, Amit V; Chaffin, Mark et al. (2018) Analysis of predicted loss-of-function variants in UK Biobank identifies variants protective for disease. Nat Commun 9:1613
Hevener, Andrea L; Zhou, Zhenqi; Moore, Timothy M et al. (2018) The impact of ER? action on muscle metabolism and insulin sensitivity - Strong enough for a man, made for a woman. Mol Metab 15:20-34
Ward-Caviness, Cavin K; Huffman, Jennifer E; Everett, Karl et al. (2018) DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. Blood 132:1842-1850
Goodarzi, Mark O (2018) Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes Endocrinol 6:223-236
Dunn, Erin C; Sofer, Tamar; Wang, Min-Jung et al. (2018) Genome-wide association study of depressive symptoms in the Hispanic Community Health Study/Study of Latinos. J Psychiatr Res 99:167-176

Showing the most recent 10 out of 926 publications