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
Ghosh, Saurabh; Fardo, David W (2018) Association analyses of repeated measures on triglyceride and high-density lipoprotein levels: insights from GAW20. BMC Genet 19:73
Auerbach, Jonathan; Howey, Richard; Jiang, Lai et al. (2018) Causal modeling in a multi-omic setting: insights from GAW20. BMC Genet 19:74
Sarnowski, Chloé; Lent, Samantha; Dupuis, Josée (2018) Investigation of parent-of-origin effects induced by fenofibrate treatment on triglycerides levels. BMC Genet 19:83
Darst, Burcu F; Malecki, Kristen C; Engelman, Corinne D (2018) Using recursive feature elimination in random forest to account for correlated variables in high dimensional data. BMC Genet 19:65
LeBlanc, Marissa; Nustad, Haakon E; Zucknick, Manuela et al. (2018) Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures. BMC Genet 19:66
Wu, Chong; Park, Jun Young; Guan, Weihua et al. (2018) An adaptive gene-based test for methylation data. BMC Proc 12:60
Fernández-Rhodes, Lindsay; Howard, Annie Green; Tao, Ran et al. (2018) Characterization of the contribution of shared environmental and genetic factors to metabolic syndrome methylation heritability and familial correlations. BMC Genet 19:69
Zhao, Kaiqiong; Jiang, Lai; Klein, Kathleen et al. (2018) CpG-set association assessment of lipid concentration changes and DNA methylation. BMC Proc 12:30
Darst, Burcu; Engelman, Corinne D; Tian, Ye et al. (2018) Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20. BMC Genet 19:76
Park, Jun Young; Wu, Chong; Pan, Wei (2018) An adaptive gene-level association test for pedigree data. BMC Genet 19:68

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