The major objective of Project 3 is to localize and identify the genes underlying previously detected QTLs forobesity-related phenotypes in the San Antonio Family Heart Study (SAFHS) which contribute to variation inrisk of cardiovascular disease (CVD). This work is based upon large extended Mexican American familiesascertained without regard to disease status. This sample represents -1400 family members which havebeen genotyped for >400 short tandem repeat markers in an 8 centimorgan map and for which genome-widelinkage analysis has been performed for a variety of phenotypes associated with obesity and which arerecognized risk factors for CVD. In this project we will make use of recent advancements in high-throughputSNP typing and sequencing to saturate our areas of interest to further refine the region and help selectpositional candidate genes based on association implemented in a novel Bayesian quantitative traitnucleotide (BQTN) analysis designed to make use of complex family data sets. The identification andselection of these positional candidate genes will be further refined based on the application of an objectivebioinformatics search routine along with insights provided by evidence of strong cis regulation of genes in thespecific regions of interest identified from our unique whole genome transcript data for this population. Oncestrong positional candidate genes have been identified within our regions of interest, they will beresequenced within the set of founders for this sample to identify all common polymorphisms.Characterization of these polymorphisms will permit the remaining individuals to be genotyped and BQTNanalysis will again be employed to identify the presence of potential functional variants in these positionalcandidate genes. When significant evidence of potential functional variants has been detected thesepolymorphisms will be typed in two additional family samples of Mexican Americans in order to look forreplication.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Program Projects (P01)
Project #
2P01HL045522-16A1
Application #
7470230
Study Section
Heart, Lung, and Blood Initial Review Group (HLBP)
Project Start
2008-06-01
Project End
2013-03-31
Budget Start
2008-06-01
Budget End
2009-03-31
Support Year
16
Fiscal Year
2008
Total Cost
$565,385
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

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