Abstract

This Human Genetic Analysis Resource will facilitate the identification and mapping of genes that cause diseases in man. The Resource will provide services and expertise in human genetic analysis to research workers investigating the familial nature of diseases. Further statistical methods of analysis will be developed for this purpose, and well-documented, user-friendly computer programs prepared that will be easily exported to other human geneticists and epidemiologists. Theoretical developments will include studies of validity, power and robustness of all procedures developed. Methods of association, segregation and linkage analysis will be generalized to allow for, eg., non-normality, multifactorially caused familial correlations, and measured environmental and genetic effects. Consulting services in the use of these methods will be provided, and the methods will be applied in collaborative research in several broad areas, including cancer, cardiovascular diseases, mental diseases, neurological diseases and allergy/atopy. Human genetic analysts will be trained at the pre- and post-doctoral levels, and short courses given in the use of methodology and computer programs that will be developed.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR003655-15
Application #
6188340
Study Section
Special Emphasis Panel (ZRG2-GNM (02))
Program Officer
Bean, Carol A
Project Start
1987-09-30
Project End
2002-08-31
Budget Start
2000-09-01
Budget End
2001-08-31
Support Year
15
Fiscal Year
2000
Total Cost
$765,172
Indirect Cost

  Institution

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

  Publications

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
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
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
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

Showing the most recent 10 out of 922 publications