Literature DB >> 16123313

Does elevated plasma fibrinogen increase the risk of coronary heart disease? Evidence from a meta-analysis of genetic association studies.

George Davey Smith1, Roger Harbord, Julie Milton, Shah Ebrahim, Jonathan A C Sterne.   

Abstract

OBJECTIVE: The purpose of this study was to assess whether a genetic variant associated with higher fibrinogen levels is associated with increased coronary heart disease (CHD) risk, as a test of the causal influence of fibrinogen on CHD. METHODS AND
RESULTS: We performed a meta-analysis of case-control and prospective studies of the G-455-->A and C-148-->T beta-fibrinogen promoter region variants, in relation to CHD risk. The 19 studies found included 12,393 cases and 21,649 controls. Fibrinogen levels were robustly related to the genetic variants (mean increase per allele, 0.117 g/L; 95% CI, 0.091-0.142 g/L). However, the genetic variants were unrelated to CHD risk (odds ratio per allele, 0.976; 95% CI, 0.916-1.040). The predicted causal odds ratio for a 1 g/L higher plasma fibrinogen level, given the genetic variant-fibrinogen and genetic variant-CHD associations, was 0.81 (95% CI, 0.46-1.40).
CONCLUSIONS: Although imprecise, the predicted causal effect of fibrinogen on CHD is clearly different from the odds ratio of 1.8 (95% CI, 1.6-2.0) for an increase of 1 g/L derived from a meta-analysis of observational studies. This evidence suggests that lowering the fibrinogen level may not, in itself, reduce CHD risk.

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Year:  2005        PMID: 16123313     DOI: 10.1161/01.ATV.0000183937.65887.9c

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


  21 in total

1.  Association of genomic loci from a cardiovascular gene SNP array with fibrinogen levels in European Americans and African-Americans from six cohort studies: the Candidate Gene Association Resource (CARe).

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
Journal:  Blood       Date:  2010-10-26       Impact factor: 22.113

2.  Randomised by (your) god: robust inference from an observational study design.

Authors:  George Davey Smith
Journal:  J Epidemiol Community Health       Date:  2006-05       Impact factor: 3.710

Review 3.  Mendelian randomization: can genetic epidemiology help redress the failures of observational epidemiology?

Authors:  Shah Ebrahim; George Davey Smith
Journal:  Hum Genet       Date:  2007-11-23       Impact factor: 4.132

4.  The association between elevated levels of inflammation biomarkers and coronary artery disease and death.

Authors:  Gordon D O Lowe
Journal:  CMAJ       Date:  2006-02-14       Impact factor: 8.262

5.  Prospective study of γ' fibrinogen and incident venous thromboembolism: The Longitudinal Investigation of Thromboembolism Etiology (LITE).

Authors:  Aaron R Folsom; Weihong Tang; Kristen M George; Susan R Heckbert; Richard F MacLehose; Mary Cushman; James S Pankow
Journal:  Thromb Res       Date:  2016-01-12       Impact factor: 3.944

Review 6.  Can haemostatic factors predict atherothrombosis?

Authors:  Gordon Lowe
Journal:  Intern Emerg Med       Date:  2011-02-15       Impact factor: 3.397

7.  Longitudinal assessment of fibrinogen in relation to subclinical cardiovascular disease: the CARDIA study.

Authors:  D Green; C Chan; J Kang; K Liu; P Schreiner; N S Jenny; R P Tracy
Journal:  J Thromb Haemost       Date:  2009-12-15       Impact factor: 5.824

8.  Elevated fibrinogen levels and subsequent subclinical atherosclerosis: the CARDIA Study.

Authors:  David Green; Nancy Foiles; Cheeling Chan; Pamela J Schreiner; Kiang Liu
Journal:  Atherosclerosis       Date:  2008-07-03       Impact factor: 5.162

9.  Apo A5 -1131T/C, FgB -455G/A, -148C/T, and CETP TaqIB gene polymorphisms and coronary artery disease in the Chinese population: a meta-analysis of 15,055 subjects.

Authors:  Yan-Yan Li; Xiao-Yan Wu; Jian Xu; Yun Qian; Chuan-Wei Zhou; Bei Wang
Journal:  Mol Biol Rep       Date:  2012-11-06       Impact factor: 2.316

10.  High sensitivity micro-elastometry: applications in blood coagulopathy.

Authors:  Gongting Wu; Charles R Krebs; Feng-Chang Lin; Alisa S Wolberg; Amy L Oldenburg
Journal:  Ann Biomed Eng       Date:  2013-05-07       Impact factor: 3.934

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