Objectives of Core B are to provide database management for genotypic/phenotypic data generated in laboratories at the Southwest Foundation Department of Genetics, for clinical and interview data generated by Core A, and for pedigrees based on these data. Core B also provides for data quality control, supports applications software, provides network and systems management for computers used by this Program Project at the Southwest Foundation, and protects the confidentiality and security of project data.
Specific aims of this core during the proposed grant period are 1 to manage acquisition, entry, and control of computerized date used in this Program Project, and to maintain laboratory data acquisition software; 2 to maintain a computerized inventory of blood samples collected in the course of the research; 3 to manage inter-laboratory and 4 inter-institutional data and file transfer; 5 to process laboratory data and to maintain the software used for processing; 6 to construct and maintain computerized pedigrees of family data; 7 to control the quality of the data collected; 8 to transform raw data into forms suitable for genetic analysis; 9 to protect the confidentiality of data; 10 to further develop and enhance software used in this Program Project as needed; 11 to undertake systems programming tasks as needed to maintain the computer system and its communications network; 12 to provide backup for data and systems files; and 13 to protect the integrity and the security of the computers used in this Program Project.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
5P01HL045522-15
Application #
7312473
Study Section
Project Start
Project End
Budget Start
2006-06-01
Budget End
2007-05-31
Support Year
15
Fiscal Year
2006
Total Cost
$392,285
Indirect Cost
Name
Texas Biomedical Research Institute
Department
Type
DUNS #
007936834
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
Espin-Garcia, Osvaldo; Craiu, Radu V; Bull, Shelley B (2018) Two-phase designs for joint quantitative-trait-dependent and genotype-dependent sampling in post-GWAS regional sequencing. Genet Epidemiol 42:104-116
Chien, Li-Chu; Chiu, Yen-Feng (2018) General retrospective mega-analysis framework for rare variant association tests. Genet Epidemiol 42:621-635
Ning, Chao; Kang, Huimin; Zhou, Lei et al. (2017) Performance Gains in Genome-Wide Association Studies for Longitudinal Traits via Modeling Time-varied effects. Sci Rep 7:590
Kulkarni, Hemant; Mamtani, Manju; Wong, Gerard et al. (2017) Genetic correlation of the plasma lipidome with type 2 diabetes, prediabetes and insulin resistance in Mexican American families. BMC Genet 18:48
Mamtani, Manju; Kulkarni, Hemant; Wong, Gerard et al. (2016) Lipidomic risk score independently and cost-effectively predicts risk of future type 2 diabetes: results from diverse cohorts. Lipids Health Dis 15:67
Kulkarni, Hemant; Mamtani, Manju; Peralta, Juan Manuel et al. (2016) Lack of Association between SLC30A8 Variants and Type 2 Diabetes in Mexican American Families. J Diabetes Res 2016:6463214
Hanson, Robert L; Leti, Fatjon; Tsinajinnie, Darwin et al. (2016) The Arg59Trp variant in ANGPTL8 (betatrophin) is associated with total and HDL-cholesterol in American Indians and Mexican Americans and differentially affects cleavage of ANGPTL3. Mol Genet Metab 118:128-37
Mamtani, Manju; Kulkarni, Hemant; Dyer, Thomas D et al. (2016) Genome- and epigenome-wide association study of hypertriglyceridemic waist in Mexican American families. Clin Epigenetics 8:6
Kumar, Satish; Curran, Joanne E; Glahn, David C et al. (2016) Utility of Lymphoblastoid Cell Lines for Induced Pluripotent Stem Cell Generation. Stem Cells Int 2016:2349261

Showing the most recent 10 out of 258 publications