Literature DB >> 16870675

Fibrinogen and coronary heart disease: test of causality by 'Mendelian randomization'.

Bernard Keavney1, John Danesh, Sarah Parish, Alison Palmer, Sarah Clark, Linda Youngman, Marc Delépine, Mark Lathrop, Richard Peto, Rory Collins.   

Abstract

BACKGROUND: Blood concentrations of fibrinogen have been associated with coronary heart disease risk in epidemiological studies, but it is uncertain whether this association is causal or reflects residual confounding by other risk factors. We investigated the relationship between the single nucleotide polymorphism at position -148 in the beta-fibrinogen gene promoter (beta - 148C/T), blood fibrinogen levels, and risk of myocardial infarction (MI) in sufficiently large numbers of coronary disease cases to reliably address this question.
METHODS: Genotyping and measurement of blood fibrinogen concentration were carried out in 4,685 cases of confirmed MI and 3,460 controls with no history of coronary disease. A meta-analysis of ISIS and 19 other studies of beta-fibrinogen genotypes involving a total of 12,220 coronary disease cases and 18,716 controls was conducted.
RESULTS: Among the ISIS controls, mean plasma fibrinogen concentrations with the C/C, C/T and T/T genotypes were 3.34 (SE 0.015), 3.48 (0.022), and 3.60 (0.064) g/l, respectively, corresponding to an increase of 0.14 (0.024) g/l per T allele (trend P < 0.0001). In the case-control comparison, 0.14 g/l higher usual plasma fibrinogen concentration was associated with an age-adjusted and sex-adjusted risk ratio for MI of 1.17 [95% confidence interval (95% CI) 1.14-1.19; P < 0.0001]. But, after further adjustment for smoking, body mass index, and plasma apolipoprotein B/A(1) ratio, this risk ratio fell to 1.03 (95% CI 1.00-1.05; P = 0.05). Moreover, fibrinogen genotype was not significantly associated with MI incidence: risk ratio of 1.06 (95% CI 0.96-1.16) per higher-fibrinogen allele in ISIS alone and of 1.00 (95% CI 0.95-1.04) per allele in the meta-analysis.
CONCLUSIONS: Genotypes that produce lifelong differences in fibrinogen concentrations do not materially influence coronary disease incidence. As these genotype-dependent differences in fibrinogen were allocated randomly at conception (Mendelian randomization), this association is not likely to be confounded by other factors. Consequently, these genetic results provide strong evidence that long-term differences in fibrinogen concentrations are not a major determinant of coronary disease risk.

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Year:  2006        PMID: 16870675     DOI: 10.1093/ije/dyl114

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  51 in total

1.  Two-step epigenetic Mendelian randomization: a strategy for establishing the causal role of epigenetic processes in pathways to disease.

Authors:  Caroline L Relton; George Davey Smith
Journal:  Int J Epidemiol       Date:  2012-02       Impact factor: 7.196

2.  Life course socioeconomic position is associated with inflammatory markers: the Framingham Offspring Study.

Authors:  Eric B Loucks; Louise Pilote; John W Lynch; Hugues Richard; Nisha D Almeida; Emelia J Benjamin; Joanne M Murabito
Journal:  Soc Sci Med       Date:  2010-03-23       Impact factor: 4.634

3.  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

Review 4.  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

5.  Proximal, distal, and the politics of causation: what's level got to do with it?

Authors:  Nancy Krieger
Journal:  Am J Public Health       Date:  2008-01-02       Impact factor: 9.308

6.  Using Mendelian Randomization studies to Assess Causality and Identify New Therapeutic Targets in Cardiovascular Medicine.

Authors:  Wei Zhao; Jung-Jin Lee; Asif Rasheed; Danish Saleheen
Journal:  Curr Genet Med Rep       Date:  2016-09-10

7.  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

8.  Risk factors: Lipoprotein(a) and coronary disease-moving closer to causality.

Authors:  John Danesh; Sebhat Erqou
Journal:  Nat Rev Cardiol       Date:  2009-09       Impact factor: 32.419

Review 9.  Can haemostatic factors predict atherothrombosis?

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

10.  Bayesian methods for instrumental variable analysis with genetic instruments ('Mendelian randomization'): example with urate transporter SLC2A9 as an instrumental variable for effect of urate levels on metabolic syndrome.

Authors:  Paul M McKeigue; Harry Campbell; Sarah Wild; Veronique Vitart; Caroline Hayward; Igor Rudan; Alan F Wright; James F Wilson
Journal:  Int J Epidemiol       Date:  2010-03-25       Impact factor: 7.196

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