Genome-Wide Association Studies: Contribution of Genomics to Understanding Blood Pressure and Essential Hypertension View Full Text


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Article Info

DATE

2010-02

AUTHORS

Georg B. Ehret

ABSTRACT

Contemporary genomic tools now allow the fast and reliable genotyping of hundreds of thousands of variants and permit an unbiased interrogation of the common variability across the human genome. These technical advances have been the basis of numerous recent investigations of genes underlying complex genetic traits, and the results for blood pressure and hypertension have been of particular interest. The pathophysiology of the complex genetic trait blood pressure and hypertension is unclear. The heritability of essential hypertension is high and insights can be gained by finding associated genes. Current genome-wide association studies (GWAS) have identified 10 to 20 loci in or near genes that generally were not expected to be associated with blood pressure or essential hypertension; more significant variants will be discovered when even larger and more refined studies become available. This article gives a short introduction to GWAS and summarizes the current findings for blood pressure and hypertension. More... »

PAGES

17-25

References to SciGraph publications

  • 1999-01. Population genetics—making sense out of sequence in NATURE GENETICS
  • 2007-06-07. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls in NATURE
  • 2009-05. A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits in NATURE GENETICS
  • 2007-10-18. A second generation human haplotype map of over 3.1 million SNPs in NATURE
  • 2009-06. Genome-wide association study of blood pressure and hypertension in NATURE GENETICS
  • 2007-09. Framingham Heart Study 100K Project: genome-wide associations for blood pressure and arterial stiffness in BMC MEDICAL GENETICS
  • 2009-12. Follow-up of a major linkage peak on chromosome 1 reveals suggestive QTLs associated with essential hypertension: GenNet study in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 2008-12. Replication of the Wellcome Trust genome-wide association study of essential hypertension: the Family Blood Pressure Program in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 2009-01. Genome-wide association analysis of metabolic traits in a birth cohort from a founder population in NATURE GENETICS
  • 2006-06. A common genetic variant in the NOS1 regulator NOS1AP modulates cardiac repolarization in NATURE GENETICS
  • 2009-06. Genome-wide association study identifies eight loci associated with blood pressure in NATURE GENETICS
  • 2009-10-08. Finding the missing heritability of complex diseases in NATURE
  • 2001-02. Initial sequencing and analysis of the human genome in NATURE
  • 2009-07-01. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder in NATURE
  • 2008-05. Genome-wide association studies for complex traits: consensus, uncertainty and challenges in NATURE REVIEWS GENETICS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11906-009-0086-6

    DOI

    http://dx.doi.org/10.1007/s11906-009-0086-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1004365022

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20425154


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