Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Research Project (R01)
Project #
5R01GM031575-14
Application #
2176197
Study Section
Epidemiology and Disease Control Subcommittee 2 (EDC)
Project Start
1983-04-01
Project End
1999-08-31
Budget Start
1996-09-01
Budget End
1997-08-31
Support Year
14
Fiscal Year
1996
Total Cost
Indirect Cost
Name
Southwest Foundation for Biomedical Research
Department
Type
DUNS #
City
San Antonio
State
TX
Country
United States
Zip Code
78245
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
Wang, Xuexia; Boekstegers, Felix; Brinster, Regina (2018) Methods and results from the genome-wide association group at GAW20. BMC Genet 19:79
Fuady, Angga M; Tissier, Renaud L M; Houwing-Duistermaat, Jeanine J (2018) Genome-wide analysis in multiple-case families: assessing the relationship between triglyceride and methylation. BMC Proc 12:33
Cherlin, Svetlana; Wang, Maggie Haitian; Bickeböller, Heike et al. (2018) Detecting responses to treatment with fenofibrate in pedigrees. BMC Genet 19:64
Vander Woude, Jason; Huisman, Jordan; Vander Berg, Lucas et al. (2018) Evaluating the performance of gene-based tests of genetic association when testing for association between methylation and change in triglyceride levels at GAW20. BMC Proc 12:50
Piette, Elizabeth R; Moore, Jason H (2018) Identification of epistatic interactions between the human RNA demethylases FTO and ALKBH5 with gene set enrichment analysis informed by differential methylation. BMC Proc 12:59
Cox, Jiayi Wu; Patel, Devanshi; Chung, Jaeyoon et al. (2018) An efficient analytic approach in genome-wide identification of methylation quantitative trait loci response to fenofibrate treatment. BMC Proc 12:44
Das, Sarmistha; Mondal, Pronoy Kanti; Ghosh, Saurabh et al. (2018) Family-based genome-wide association of inflammation biomarkers and fenofibrate treatment response in the GOLDN study. BMC Proc 12:41
Chen, Yuning; Peloso, Gina M; Dupuis, Josée (2018) Evaluation of a phenotype imputation approach using GAW20 simulated data. BMC Proc 12:56

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