The goal of this project is to evaluate statistical genetic methods for detecting, characterizing, and mapping the genes that influence complex diseases and their precursors and risk factors. The investigators will pursue this goal by continuing the organization of the Genetic Analysis Workshops (GAWs). The Genetic Analysis Workshops are a collaborative effort among genetic epidemiologists to evaluate and compare statistical genetic methods. For each GAW, topics are chosen for their relevance to current analytical issues in genetic epidemiology, and sets of computer-simulated or real data are distributed to investigators world-wide. Participants submit the results of their analyses, which are discussed and compared at a 2.5 day meeting. The GAW submissions invariably contain new ideas for methods to handle complex phenotypes. GAW11, held in September 1998, was devoted to problems in genetic analysis of data from the Collaborative Study on the Genetics of Alcoholism and analysis of multiple replicates of simulated data for a multilocus disorder with varying severity and with heterogeneity between populations. GAW11 had 210 participants from the United States, Canada, France, Germany, England, Switzerland, Australia, and Argentina. GAW12 will be held in 2000, and GAW13 in 2002. All planning and data distribution for GAW14 will be essentially complete by the end of the requested period of support in 2004.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
2R01GM031575-17
Application #
2902586
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Project Start
1983-04-01
Project End
2003-08-31
Budget Start
1999-09-01
Budget End
2000-08-31
Support Year
17
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Southwest Foundation for Biomedical Research
Department
Type
DUNS #
City
San Antonio
State
TX
Country
United States
Zip Code
78245
Zhou, Wenda; Lo, Shaw-Hwa (2018) Analysis of genotype by methylation interactions through sparsity-inducing regularized regression. BMC Proc 12:40
Howey, Richard A J; Cordell, Heather J (2018) Application of Bayesian networks to GAW20 genetic and blood lipid data. BMC Proc 12:19
Veenstra, Jenna; Kalsbeek, Anya; Koster, Karissa et al. (2018) Epigenome wide association study of SNP-CpG interactions on changes in triglyceride levels after pharmaceutical intervention: a GAW20 analysis. BMC Proc 12:58
Jiang, Lai; Zhao, Kaiqiong; Klein, Kathleen et al. (2018) Investigating potential causal relationships between SNPs, DNA methylation and HDL. BMC Proc 12:20
Yang, Hsin-Chou; Chen, Chia-Wei (2018) Homozygosity disequilibrium associated with treatment response and its methylation regulation. BMC Proc 12:45
Tintle, Nathan L; Fardo, David W; de Andrade, Mariza et al. (2018) GAW20: methods and strategies for the new frontiers of epigenetics and pharmacogenomics. BMC Proc 12:26
Daw, E Warwick; Hicks, James; Lenzini, Petra et al. (2018) Methods for detecting methylation by SNP interaction in GAW20 simulation. BMC Proc 12:37
Chen, Lili; Wang, Yong; Zhou, Yajing (2018) Association analysis of rare and common variants with multiple traits based on variable reduction method. Genet Res (Camb) 100:e2
Konigorski, Stefan; Wang, Yuan; Cigsar, Candemir et al. (2018) Estimating and testing direct genetic effects in directed acyclic graphs using estimating equations. Genet Epidemiol 42:174-186
Aslibekyan, Stella; Almasy, Laura; Province, Michael A et al. (2018) Data for GAW20: genome-wide DNA sequence variation and epigenome-wide DNA methylation before and after fenofibrate treatment in a family study of metabolic phenotypes. BMC Proc 12:35

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