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Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family.

Publication ,  Journal Article
Nolan, D; Kraus, WE; Hauser, E; Li, Y-J; Thompson, DK; Johnson, J; Chen, H-C; Nelson, S; Haynes, C; Gregory, SG; Kraus, VB; Shah, SH
Published in: PLoS One
2013

Given the importance of cardiovascular disease (CVD) to public health and the demonstrated heritability of both disease status and its related risk factors, identifying the genetic variation underlying these susceptibilities is a critical step in understanding the pathogenesis of CVD and informing prevention and treatment strategies. Although one can look for genetic variation underlying susceptibility to CVD per se, it can be difficult to define the disease phenotype for such a qualitative analysis and CVD itself represents a convergence of diverse etiologic pathways. Alternatively, one can study the genetics of intermediate traits that are known risk factors for CVD, which can be measured quantitatively. Using the latter strategy, we have measured 21 cardiovascular-related biomarkers in an extended multigenerational pedigree, the CARRIAGE family (Carolinas Region Interaction of Aging, Genes, and Environment). These biomarkers belong to inflammatory and immune, connective tissue, lipid, and hemostasis pathways. Of these, 18 met our quality control standards. Using the pedigree and biomarker data, we have estimated the broad sense heritability (H2) of each biomarker (ranging from 0.09-0.56). A genome-wide panel of 6,015 SNPs was used subsequently to map these biomarkers as quantitative traits. Four showed noteworthy evidence for linkage in multipoint analysis (LOD score ≥ 2.6): paraoxonase (chromosome 8p11, 21), the chemokine RANTES (22q13.33), matrix metalloproteinase 3 (MMP3, 17p13.3), and granulocyte colony stimulating factor (GCSF, 8q22.1). Identifying the causal variation underlying each linkage score will help to unravel the genetic architecture of these quantitative traits and, by extension, the genetic architecture of cardiovascular risk.

Duke Scholars

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2013

Volume

8

Issue

8

Start / End Page

e71779

Location

United States

Related Subject Headings

  • Risk Factors
  • Quantitative Trait Loci
  • Polymorphism, Single Nucleotide
  • Middle Aged
  • Male
  • Lod Score
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Genetic Linkage
 

Citation

APA
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MLA
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Nolan, D., Kraus, W. E., Hauser, E., Li, Y.-J., Thompson, D. K., Johnson, J., … Shah, S. H. (2013). Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family. PLoS One, 8(8), e71779. https://doi.org/10.1371/journal.pone.0071779
Nolan, Daniel, William E. Kraus, Elizabeth Hauser, Yi-Ju Li, Dana K. Thompson, Jessica Johnson, Hsiang-Cheng Chen, et al. “Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family.PLoS One 8, no. 8 (2013): e71779. https://doi.org/10.1371/journal.pone.0071779.
Nolan D, Kraus WE, Hauser E, Li Y-J, Thompson DK, Johnson J, et al. Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family. PLoS One. 2013;8(8):e71779.
Nolan, Daniel, et al. “Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family.PLoS One, vol. 8, no. 8, 2013, p. e71779. Pubmed, doi:10.1371/journal.pone.0071779.
Nolan D, Kraus WE, Hauser E, Li Y-J, Thompson DK, Johnson J, Chen H-C, Nelson S, Haynes C, Gregory SG, Kraus VB, Shah SH. Genome-wide linkage analysis of cardiovascular disease biomarkers in a large, multigenerational family. PLoS One. 2013;8(8):e71779.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2013

Volume

8

Issue

8

Start / End Page

e71779

Location

United States

Related Subject Headings

  • Risk Factors
  • Quantitative Trait Loci
  • Polymorphism, Single Nucleotide
  • Middle Aged
  • Male
  • Lod Score
  • Humans
  • Genome-Wide Association Study
  • Genetic Predisposition to Disease
  • Genetic Linkage