Comprehensive genotyping in dyslipidemia: mendelian dyslipidemias caused by rare variants and Mendelian randomization studies using common variants View Full Text


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Article Info

DATE

2017-01-05

AUTHORS

Hayato Tada, Masa-aki Kawashiri, Masakazu Yamagishi

ABSTRACT

Dyslipidemias, especially hyper-low-density lipoprotein cholesterolemia and hypertriglyceridemia, are important causal risk factors for coronary artery disease. Comprehensive genotyping using the ‘next-generation sequencing’ technique has facilitated the investigation of Mendelian dyslipidemias, in addition to Mendelian randomization studies using common genetic variants associated with plasma lipids and coronary artery disease. The beneficial effects of low-density lipoprotein cholesterol-lowering therapies on coronary artery disease have been verified by many randomized controlled trials over the years, and subsequent genetic studies have supported these findings. More recently, Mendelian randomization studies have preceded randomized controlled trials. When the on-target/off-target effects of rare variants and common variants exhibit the same direction, novel drugs targeting molecules identified by investigations of rare Mendelian lipid disorders could be promising. Such a strategy could aid in the search for drug discovery seeds other than those for dyslipidemias. More... »

PAGES

453-458

References to SciGraph publications

  • 2005-01-16. Low LDL cholesterol in individuals of African descent resulting from frequent nonsense mutations in PCSK9 in NATURE GENETICS
  • 2015-05-11. The impact of low-frequency and rare variants on lipid levels in NATURE GENETICS
  • 2013-10-06. Discovery and refinement of loci associated with lipid levels in NATURE GENETICS
  • 2008-12-07. Common variants at 30 loci contribute to polygenic dyslipidemia in NATURE GENETICS
  • 2013-10-06. Common variants associated with plasma triglycerides and risk for coronary artery disease in NATURE GENETICS
  • 2010-08. Biological, clinical and population relevance of 95 loci for blood lipids in NATURE
  • 1953-04-25. Molecular Structure of Nucleic Acids: A Structure for Deoxyribose Nucleic Acid in NATURE
  • 2011-02-01. Lipid parameters for measuring risk of cardiovascular disease in NATURE REVIEWS CARDIOLOGY
  • 2011-03-06. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease in NATURE GENETICS
  • 2015-12-22. Exome-wide association analysis reveals novel coding sequence variants associated with lipid traits in Chinese in NATURE COMMUNICATIONS
  • 2012-12-02. Large-scale association analysis identifies new risk loci for coronary artery disease in NATURE GENETICS
  • 2014-12-10. Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction in NATURE
  • 2006-01-22. The sex-specific genetic architecture of quantitative traits in humans in NATURE GENETICS
  • 2015-03-13. Extreme Contrast of Postprandial Remnant-Like Particles Formed in Abetalipoproteinemia and Homozygous Familial Hypobetalipoproteinemia in JIMD REPORTS, VOLUME 22
  • 2003-05-05. Mutations in PCSK9 cause autosomal dominant hypercholesterolemia in NATURE GENETICS
  • 2016-05-02. Variants with large effects on blood lipids and the role of cholesterol and triglycerides in coronary disease in NATURE GENETICS
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    http://scigraph.springernature.com/pub.10.1038/jhg.2016.159

    DOI

    http://dx.doi.org/10.1038/jhg.2016.159

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1007858422

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28055004


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