This Human Genetic Analysis Resource will facilitate the mapping, identification and characterization of genes that cause complex diseases in man. The Resource will provide services and expertise in human genetic analysis to research workers investigating the familial nature of such diseases. Further statistical methods of analysis and study designs will be developed for this purpose, and well-documented, user-friendly computer programs prepared that can be easily tailored to the needs of human geneticists and genetic epidemiologists. Theoretical developments will include studies of validity, power and robustness of all procedures developed. Methods of association, segregation and linkage analysis will allow for, e.g., nonnormality, multifactorially caused familial correlations, measured and non-measured environmental effects, both Mendelian and non-Mendelian genetic effects, and non-random sampling. Consulting services in the use of these methods will be provided, and the methods will be applied in collaborative research to several broad areas, including cancer, pulmonary/cardiovascular diseases, ophthalmologic diseases, neurological diseases, autoimmune diseases, renal diseases, and dental/craniofacial phenotypes. Human genetic analysts will be trained at the pre- and post-doctoral levels, and short courses given, both nationally and internationally, to train people in statistical analysis for genetic epidemiology and in the use of the computer programs that will be developed. Information about the Resource and its activities will be broadly disseminated at national and international meetings and by maintaining a home page on the World Wide Web.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR003655-20
Application #
7181263
Study Section
Special Emphasis Panel (ZRG1-MGN (03))
Project Start
2005-08-01
Project End
2006-07-31
Budget Start
2005-08-01
Budget End
2006-07-31
Support Year
20
Fiscal Year
2005
Total Cost
$8,889
Indirect Cost
Name
Case Western Reserve University
Department
Public Health & Prev Medicine
Type
Schools of Medicine
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
Elston, Robert C; Satagopan, Jaya; Sun, Shuying (2017) Statistical Genetic Terminology. Methods Mol Biol 1666:1-9
Thota, Prashanthi N; Zackria, Shamiq; Sanaka, Madhusudhan R et al. (2017) Racial Disparity in the Sex Distribution, the Prevalence, and the Incidence of Dysplasia in Barrett's Esophagus. J Clin Gastroenterol 51:402-406
Justice, Cristina M; Bishop, Kevin; Carrington, Blake et al. (2016) Evaluation of IRX Genes and Conserved Noncoding Elements in a Region on 5p13.3 Linked to Families with Familial Idiopathic Scoliosis and Kyphosis. G3 (Bethesda) 6:1707-12
Petrovic, Dusan; Pivin, Edward; Ponte, Belen et al. (2016) Sociodemographic, behavioral and genetic determinants of allostatic load in a Swiss population-based study. Psychoneuroendocrinology 67:76-85
Liang, Jingjing; Cade, Brian E; Wang, Heming et al. (2016) Comparison of Heritability Estimation and Linkage Analysis for Multiple Traits Using Principal Component Analyses. Genet Epidemiol 40:222-32
Wang, Chuchu; Wu, Manman; Qian, Jin et al. (2016) Identification of rare variants in TNNI3 with atrial fibrillation in a Chinese GeneID population. Mol Genet Genomics 291:79-92
Lemas, Dominick J; Klimentidis, Yann C; Aslibekyan, Stella et al. (2016) Polymorphisms in stearoyl coa desaturase and sterol regulatory element binding protein interact with N-3 polyunsaturated fatty acid intake to modify associations with anthropometric variables and metabolic phenotypes in Yup'ik people. Mol Nutr Food Res 60:2642-2653
Day, Kenneth; Waite, Lindsay L; Alonso, Arnald et al. (2016) Heritable DNA Methylation in CD4+ Cells among Complex Families Displays Genetic and Non-Genetic Effects. PLoS One 11:e0165488
Castiblanco, John; Sarmiento-Monroy, Juan Camilo; Mantilla, Ruben Dario et al. (2015) Familial Aggregation and Segregation Analysis in Families Presenting Autoimmunity, Polyautoimmunity, and Multiple Autoimmune Syndrome. J Immunol Res 2015:572353
Shetty, Priya B; Tang, Hua; Feng, Tao et al. (2015) Variants for HDL-C, LDL-C, and triglycerides identified from admixture mapping and fine-mapping analysis in African American families. Circ Cardiovasc Genet 8:106-13

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