Literature DB >> 16614319

Common genetic variation in five thrombosis genes and relations to plasma hemostatic protein level and cardiovascular disease risk.

Sekar Kathiresan1, Qiong Yang, Martin G Larson, Amy L Camargo, Geoffrey H Tofler, Joel N Hirschhorn, Stacey B Gabriel, Christopher J O'Donnell.   

Abstract

OBJECTIVE: We undertook a linkage disequilibrium (LD)-based genetic approach to investigate the hypothesis that common sequence variants in 5 thrombosis genes influence plasma hemostatic protein levels or risk of cardiovascular disease (CVD). METHODS AND
RESULTS: In a reference panel, we characterized LD structure at the fibrinogen gene cluster (fibrinogen-beta[FGB], FGA, and FGG), factor VII (F7), and tissue plasminogen activator (PLAT) loci. Forty-one tag single nucleotide polymorphisms (SNPs) were genotyped in 1811 unrelated Framingham Heart Study participants. There were significant associations of 9 FGB SNPs with fibrinogen level (minimum P=0.002) and of 7 F7 SNPs and factor VII level (minimum P<0.0001). SNPs at the PLAT locus were not associated with PLAT level. In stepwise analysis, a single FGB variant explained 1% of the residual variance in fibrinogen level, and 2 F7 SNPs together explained 10% of the residual variance in factor VII level. Two PLAT haplotypes were associated with CVD (multivariable-adjusted global P=0.0004).
CONCLUSIONS: A comprehensive survey of common sequence variation demonstrates that cis-regulatory SNPs explain a modest proportion of the residual variance in circulating fibrinogen and factor VII level and PLAT haplotypes increase the risk of CVD. Additional studies are warranted to confirm the association of PLAT sequence variation and risk of CVD.

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Year:  2006        PMID: 16614319     DOI: 10.1161/01.ATV.0000222011.13026.25

Source DB:  PubMed          Journal:  Arterioscler Thromb Vasc Biol        ISSN: 1079-5642            Impact factor:   8.311


  27 in total

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Authors:  Christina L Wassel; Leslie A Lange; Brendan J Keating; Kira C Taylor; Andrew D Johnson; Cameron Palmer; Lindsey A Ho; Nicholas L Smith; Ethan M Lange; Yun Li; Qiong Yang; Joseph A Delaney; Weihong Tang; Geoffrey Tofler; Susan Redline; Herman A Taylor; James G Wilson; Russell P Tracy; David R Jacobs; Aaron R Folsom; David Green; Christopher J O'Donnell; Alexander P Reiner
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2.  Application of Whole Exome Sequencing in the Clinical Diagnosis and Management of Inherited Cardiovascular Diseases in Adults.

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Journal:  Circ Cardiovasc Genet       Date:  2017-02

3.  Association of ACE and FACTOR VII gene variability with the risk of coronary heart disease in north Indian population.

Authors:  R C Sobti; Nishi Maithil; Hitender Thakur; Yashpaul Sharma; K K Talwar
Journal:  Mol Cell Biochem       Date:  2010-04-03       Impact factor: 3.396

4.  A two-step genetic study on quantitative precursors of coronary artery disease in a homogeneous Indian population: case-control association discovery and validation by transmission-disequilibrium test.

Authors:  Sanjukta Mallik; Partha P Majumder
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5.  Association of coagulation-related and inflammation-related genes and factor VIIc levels with stroke: the Cardiovascular Health Study.

Authors:  N A Zakai; L Lange; W T Longstreth; E S O'Meara; J L Kelley; M Fornage; D Nikerson; M Cushman; A P Reiner
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7.  The effect of a single nucleotide polymorphism on human alpha 2-antiplasmin activity.

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8.  Histone deacetylase inhibitors stimulate tissue-type plasminogen activator production in vascular endothelial cells.

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Journal:  J Thromb Thrombolysis       Date:  2013-02       Impact factor: 2.300

9.  Associations of activated coagulation factor VII and factor VIIa-antithrombin levels with genome-wide polymorphisms and cardiovascular disease risk.

Authors:  N C Olson; L M Raffield; L A Lange; E M Lange; W T Longstreth; G Chauhan; S Debette; S Seshadri; A P Reiner; R P Tracy
Journal:  J Thromb Haemost       Date:  2017-12-08       Impact factor: 5.824

10.  Antihypertensive pharmacogenetic effect of fibrinogen-beta variant -455G>A on cardiovascular disease, end-stage renal disease, and mortality: the GenHAT study.

Authors:  Amy I Lynch; Eric Boerwinkle; Barry R Davis; Charles E Ford; John H Eckfeldt; Catherine Leiendecker-Foster; Donna K Arnett
Journal:  Pharmacogenet Genomics       Date:  2009-06       Impact factor: 2.089

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