Skip Navigation
Grant Details

Grant Number: 5R01CA052862-14 Interpret this number
Primary Investigator: Thomas, Duncan
Organization: University Of Southern California
Project Title: Survival Models for Genetic Epidemiology
Fiscal Year: 2006
Back to top


Abstract

DESCRIPTION (provided by applicant): This project is primarily concerned with gene characterization for censored age-at-onset disease traits like cancer. During previous cycles, we have investigated a number of design issues for family-based studies, such as those arising in the context of our work on the NCI's Cooperative Family Registries for Breast and Colorectal Cancer Studies (CFRBCCS) as well as methods for modeling penetrance in relation to age and multiple genetic and environmental factors. The present proposal represents a continuation of work on these major themes. We propose to continue our efforts on methodologic issues in gene characterization, with the following aims: (i) Development of a unified likelihood framework for family-based association studies, including creation of a likelihood for segregation, linkage, direct association, and linkage disequilibrium for candidate genes, non-random ascertainment of families, censored age-at-onset phenotypes, estimation of penetrance from ascertained families with only some members genotyped, robust tests and variance estimators allowing for residual familial aggregation, multistage sampling of pedigrees, uncertainties in reported phenotype information in genetic analyses, implementation of these methods in the research version of the Genetic Analysis Package (GAP-A), and investigation of the relative efficiency of alternative study designs; (ii) Approaches to modeling complex disease traits, including methods for analysis of multiple phenotypes (e.g., multiple sites of cancer, such as the HNPCC syndrome), toxicokinetic models for complex metabolic pathways involving multiple genes and environmental exposures, and penetrance models incorporating genomic instability; (iii) Methods for characterizing the phenotypic effect of highly polymorphic genes; (iv) Methods for allowing for population stratification in case-control and cohort gene-association studies of unrelated individuals. To illustrate our methodologic work, we will draw examples from the CFRBCCS and other studies the genetic epidemiology of cancer in the USC Department of Preventive Medicine.

Back to top


Publications

Influence of CRTC1 polymorphisms on body mass index and fat mass in psychiatric patients and the general adult population.
Authors: Choong E, Quteineh L, Cardinaux JR, Gholam-Rezaee M, Vandenberghe F, Dobrinas M, Bondolfi G, Etter M, Holzer L, Magistretti P, von Gunten A, Preisig M, Vollenweider P, Beckmann JS, Pralong FP, Waeber G, Kutalik Z, Conus P, Bochud M, Eap CB, ODEX team
Source: JAMA Psychiatry, 2013 Oct;70(10), p. 1011-9.
PMID: 23925723
Related Citations

Back to top


Gene-trait similarity regression for multimarker-based association analysis.
Authors: Tzeng JY, Zhang D, Chang SM, Thomas DC, Davidian M
Source: Biometrics, 2009 Sep;65(3), p. 822-32.
EPub date: 2009 Feb 4.
PMID: 19210740
Related Citations

Back to top


Design considerations in a sib-pair study of linkage for susceptibility loci in cancer.
Authors: Kerber RA, Amos CI, Yeap BY, Finkelstein DM, Thomas DC
Source: BMC Med Genet, 2008 Jul 10;9, p. 64.
EPub date: 2008 Jul 10.
PMID: 18616822
Related Citations

Back to top


Multistage sampling for latent variable models.
Authors: Thomas DC
Source: Lifetime Data Anal, 2007 Dec;13(4), p. 565-81.
EPub date: 2007 Oct 18.
PMID: 17943440
Related Citations

Back to top


Hierarchical Bayes prioritization of marker associations from a genome-wide association scan for further investigation.
Authors: Lewinger JP, Conti DV, Baurley JW, Triche TJ, Thomas DC
Source: Genet Epidemiol, 2007 Dec;31(8), p. 871-82.
PMID: 17654612
Related Citations

Back to top


Testing association between disease and multiple SNPs in a candidate gene.
Authors: Gauderman WJ, Murcray C, Gilliland F, Conti DV
Source: Genet Epidemiol, 2007 Jul;31(5), p. 383-95.
PMID: 17410554
Related Citations

Back to top


Exploiting gene-environment interaction to detect genetic associations.
Authors: Kraft P, Yen YC, Stram DO, Morrison J, Gauderman WJ
Source: Hum Hered, 2007;63(2), p. 111-9.
EPub date: 2007 Feb 2.
PMID: 17283440
Related Citations

Back to top


Identifying susceptibility genes by using joint tests of association and linkage and accounting for epistasis.
Authors: Millstein J, Siegmund KD, Conti DV, Gauderman WJ
Source: BMC Genet, 2005 Dec 30;6 Suppl 1, p. S147.
EPub date: 2005 Dec 30.
PMID: 16451607
Related Citations

Back to top


Testing association and linkage using affected-sib-parent study designs.
Authors: Millstein J, Siegmund KD, Conti DV, Gauderman WJ
Source: Genet Epidemiol, 2005 Nov;29(3), p. 225-33.
PMID: 16121357
Related Citations

Back to top


Case-sibling gene-association studies for diseases with variable age at onset.
Authors: Kraft P, Thomas DC
Source: Stat Med, 2004 Dec 15;23(23), p. 3697-712.
PMID: 15534888
Related Citations

Back to top


Genetic Analysis Workshop 13: simulated longitudinal data on families for a system of oligogenic traits.
Authors: Daw EW, Morrison J, Zhou X, Thomas DC
Source: BMC Genet, 2003 Dec 31;4 Suppl 1, p. S3.
EPub date: 2003 Dec 31.
PMID: 14975071
Related Citations

Back to top


Error Notice

An error has occurred. It could be that you mistyped the URL, or we moved things around. Either way, we recommend that you use the navigation menu above to re-navigate to the page you were looking for. If you got here by accessing a bookmark, please update your bookmark.

Please feel free to contact us if the problem persists.

We apologize for the inconvenience.
- The DCCPS Team.