Abstract

Evidence is mounting that the incidence of many diseases such as breast cancer, Alzheimer's disease, and diabetes is a function of both genetic and environmental factors. Moreover, our understanding of the etiology of complex diseases would be improved by a better integration of genetic and epidemiological methods. The objective of this project is to develop potentially improved methods for analysis of disease incidence data. Issues being investigated include: censored age-at-onset outcome data; major genes, polygenes, and shared unmeasured environmental factors; linkage to multiple, polymorphic genetic markers and combined segregation/linkage analysis; genetic heterogeneity and """"""""sporadic"""""""" cases; measured time-dependent environmental exposures or covariates; gene-environment interactions and epistasis (gene-gene interactions); mediation of genetic effects through measurable covariates (e.g., hormone levels); associations with candidate genes; and complex ascertainment protocols. The basic model being considered is an extension of the proportional hazards model.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR003655-11
Application #
5224639
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
11
Fiscal Year
1996
Total Cost
Indirect Cost

  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