The long-term goal of this Multi-Institutional Research Project grant is to elucidate the genetic architecture of high density lipoprotein-cholesterol (HDL-C) in the general population and to evaluate the added value of this genetic information for predicting incident coronary heart disease (CHD) beyond the established risk factors. Special emphasis will be given to the contribution of low frequency variation, and variant-variant and variant-environment interactions to the genetic architecture of HDL-C.
In AIM 1 we will resequence 20 HDL-related genes in a sample of 400 individuals from the Coronary Artery Risk Development in Young Adults (CARDIA) cohort who consistently have high (top quartile;n=200) or low (bottom quartile;n=200) plasma HDL-C concentrations across multiple examinations. The genes to be studied have been selected and prioritized based on three criteria: i) findings about their association with HDL-C in the first cycle of research funding of this project, ii) as being under replicated linkage peaks and resulting in changes in HDL-C levels in genetically modified mice, and iii) as being replicated in genome-wide association studies of HDL-C. To detect evidence for the contribution of low frequency variations in these genes to HDL-C variation we will test whether the sequence variation in one extreme of the HDL-C distribution differs from the other extreme and whether the distributions in the extremes differ from neutral expectations. Neither genome-wide association studies or sequencing the extremes of the HDL-C distribution will reveal the contribution of variants to the genetic architecture in the population-at-large. Therefore, we will genotype the entire CARDIA cohort for the genetic variations characterized by the resequencing carried out in AIM 1, and use all of the genotype data (i.e. SNPs and insertion/deletions) to quantify the marginal genotypic (AIM 2) and interaction (AIM 3) effects of each gene variant on inter-individual variation in plasma concentrations of HDL-C in the population-at-large.
AIM 3 will consider interactions of the effects of variations in each gene with the effects of variations in the same gene and in other genes (i.e. variant-variant interactions);with indices of environmental variations such as gender, weight, smoking and alcohol consumption (i.e. variant-environment interaction) and with time (i.e. longitudinal analyses).
AIM 4 will evaluate the ability of the variations identified in AIMS 2 and 3 as contributing to the genetic architecture of HDL-C: i) to predict whether a person will have low HDL-C (<40 mg/dl) in the large Atherosclerosis Risk in Communities (ARIC) study (n=15,792), and ii) to predict incident CHD in the ARIC study beyond that afforded by the established risk factors. The proposed research is made possible by three linked R01s from Drs. Boerwinkle, Clark and Sing. Reduced high-density lipoprotein cholesterol (HDL-C) is a risk factor for coronary heart disease (CHD). The goal of this research program is to identify the genes influencing HDL-C in the population-at-large, and to ask if these genetic variations predict CHD beyond the traditional risk factors. This research not only considers the individual effects of variation in each gene, but their interactions with other genes and with the environment.

National Institute of Health (NIH)
National Heart, Lung, and Blood Institute (NHLBI)
Research Project (R01)
Project #
Application #
Study Section
Cardiovascular and Sleep Epidemiology (CASE)
Program Officer
Sholinsky, Phyliss
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Texas Health Science Center Houston
Public Health & Prev Medicine
Schools of Public Health
United States
Zip Code
Lusk, Christine M; Dyson, Greg; Clark, Andrew G et al. (2014) Validated context-dependent associations of coronary heart disease risk with genotype variation in the chromosome 9p21 region: the Atherosclerosis Risk in Communities study. Hum Genet 133:1105-16
Morrison, Alanna C; Voorman, Arend; Johnson, Andrew D et al. (2013) Whole-genome sequence-based analysis of high-density lipoprotein cholesterol. Nat Genet 45:899-901
Gonzaga-Jauregui, Claudia; Lotze, Timothy; Jamal, Leila et al. (2013) Mutations in VRK1 associated with complex motor and sensory axonal neuropathy plus microcephaly. JAMA Neurol 70:1491-8
Grallert, Harald; Dupuis, Josée; Bis, Joshua C et al. (2012) Eight genetic loci associated with variation in lipoprotein-associated phospholipase A2 mass and activity and coronary heart disease: meta-analysis of genome-wide association studies from five community-based studies. Eur Heart J 33:238-51
Bielinski, Suzette J; Reiner, Alex P; Nickerson, Deborah et al. (2011) Polymorphisms in the ICAM1 gene predict circulating soluble intercellular adhesion molecule-1(sICAM-1). Atherosclerosis 216:390-4
Gravel, Simon; Henn, Brenna M; Gutenkunst, Ryan N et al. (2011) Demographic history and rare allele sharing among human populations. Proc Natl Acad Sci U S A 108:11983-8
Rodin, Andrei S; Gogoshin, Grigoriy; Boerwinkle, Eric (2011) Systems biology data analysis methodology in pharmacogenomics. Pharmacogenomics 12:1349-60
Tang, Weihong; Apostol, George; Schreiner, Pamela J et al. (2010) Associations of lipoprotein lipase gene polymorphisms with longitudinal plasma lipid trends in young adults: The Coronary Artery Risk Development in Young Adults (CARDIA) study. Circ Cardiovasc Genet 3:179-86
Royal, Charmaine D; Novembre, John; Fullerton, Stephanie M et al. (2010) Inferring genetic ancestry: opportunities, challenges, and implications. Am J Hum Genet 86:661-73
Coventry, Alex; Bull-Otterson, Lara M; Liu, Xiaoming et al. (2010) Deep resequencing reveals excess rare recent variants consistent with explosive population growth. Nat Commun 1:131

Showing the most recent 10 out of 20 publications