Component 2, A. Clark, PI, is an integral part of this Collaborative Research Project grant entitled Modeling DNA Diversity in Reverse Cholesterol Transport involving two other components: population-based genomics and DNA genotyping, (Component 1, E. Boerwinkle, PI) and genotype phenotype studies (Component 3, C. Sing, PI). Although there is a division of labor among components for practical and institutional purposes, the co-investigators and consultants engaged in this project will work as a team to develop resources to address one of the most complex and challenging problems in medicine, how is DNA sequence variation related to variation in human health in the population at large? Component 1 of this Collaborative Research Project grant will generate a large amount of new data on complex patterns of variation in a substantial number of genes. A major objective is to develop methods for analyzing these data to find etiologically relevant aspects of variation. For each of 62 candidate genes, the initial responsibility of Component 2 is to analyze the distribution of single DNA site and haplotype variation in terms of the population processes responsible for that variation. We will develop systematic methods to identify subsets of sites that most fully capture the haplotypic structure of the data and thereby reduce the dimensionality of the variation. These methods will be applied to haplotype and genotype variation in a population-based sample of 2007 African-Americans and 2139 European-Americans from the CARDIA study. Single nucleotide polymorphisms frequency spectra, linkage disequilibrium and the block-wise structure of haplotypes will be quantified and related to expectations of population genetic theory. Novel approaches to genotype-phenotype associations will be pursued, in close collaboration with Component 3, by testing the fit of the neutral site frequency spectrum to data stratified by phenotypic measures.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL072904-03
Application #
6887421
Study Section
Special Emphasis Panel (ZHL1-CSR-L (F1))
Program Officer
Sholinsky, Phyliss
Project Start
2003-06-01
Project End
2007-05-31
Budget Start
2005-06-01
Budget End
2006-05-31
Support Year
3
Fiscal Year
2005
Total Cost
$322,850
Indirect Cost
Name
Cornell University
Department
Biochemistry
Type
Schools of Arts and Sciences
DUNS #
872612445
City
Ithaca
State
NY
Country
United States
Zip Code
14850
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
Chakravarti, Aravinda; Clark, Andrew G; Mootha, Vamsi K (2013) Distilling pathophysiology from complex disease genetics. Cell 155:21-6
Ma, Li; Clark, Andrew G; Keinan, Alon (2013) Gene-based testing of interactions in association studies of quantitative traits. PLoS Genet 9:e1003321
Ma, Li; Brautbar, Ariel; Boerwinkle, Eric et al. (2012) Knowledge-driven analysis identifies a gene-gene interaction affecting high-density lipoprotein cholesterol levels in multi-ethnic populations. PLoS Genet 8:e1002714
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
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
Manolio, Teri A; Collins, Francis S; Cox, Nancy J et al. (2009) Finding the missing heritability of complex diseases. Nature 461:747-53
Lohmueller, Kirk E; Bustamante, Carlos D; Clark, Andrew G (2009) Methods for human demographic inference using haplotype patterns from genomewide single-nucleotide polymorphism data. Genetics 182:217-31
Nielsen, Rasmus; Hubisz, Melissa J; Hellmann, Ines et al. (2009) Darwinian and demographic forces affecting human protein coding genes. Genome Res 19:838-49

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