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Extremes of unexplained variation as a phenotype an efficient approach for genome-wide association studies of cardiovascular disease

Academic Article
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Overview

authors

  • Lanktree, M. B.
  • Hegele, R. A.
  • Schork, Nicholas
  • Spence, J. D.

publication date

  • April 2010

journal

  • Circulation-Cardiovascular Genetics  Journal

subject areas

  • Aged
  • Cardiovascular Diseases
  • Female
  • Gene Frequency
  • Genome, Human
  • Genome-Wide Association Study
  • Humans
  • Male
  • Middle Aged
  • Odds Ratio
  • Phenotype
  • Regression Analysis
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Research

keywords

  • atherosclerosis
  • cardiovascular disease
  • genome-wide association studies
  • risk factors
  • stroke
  • ultrasound
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Identity

PubMed Central ID

  • PMC3084495

International Standard Serial Number (ISSN)

  • 1942-325X

Digital Object Identifier (DOI)

  • 10.1161/circgenetics.109.934505

PubMed ID

  • 20407100
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Additional Document Info

start page

  • 215

end page

  • 221

volume

  • 3

issue

  • 2

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