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      Effect modification by population dietary folate on the association between MTHFR genotype, homocysteine, and stroke risk: a meta-analysis of genetic studies and randomised trials

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      a , , f , g , , h , b , i , c , n , o , p , q , f , g , f , r , s , v , t , u , w , x , y , z , z , aa , e , ab , ac , d , ad , ae , ah , af , ah , ai , ag , aj , ak , j , k , a ,   am ,   al , c , n , c , r , f , al , ae , an , l , m , a , b , a , f , *
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          Summary

          Background

          The MTHFR 677C→T polymorphism has been associated with raised homocysteine concentration and increased risk of stroke. A previous overview showed that the effects were greatest in regions with low dietary folate consumption, but differentiation between the effect of folate and small-study bias was difficult. A meta-analysis of randomised trials of homocysteine-lowering interventions showed no reduction in coronary heart disease events or stroke, but the trials were generally set in populations with high folate consumption. We aimed to reduce the effect of small-study bias and investigate whether folate status modifies the association between MTHFR 677C→T and stroke in a genetic analysis and meta-analysis of randomised controlled trials.

          Methods

          We established a collaboration of genetic studies consisting of 237 datasets including 59 995 individuals with data for homocysteine and 20 885 stroke events. We compared the genetic findings with a meta-analysis of 13 randomised trials of homocysteine-lowering treatments and stroke risk (45 549 individuals, 2314 stroke events, 269 transient ischaemic attacks).

          Findings

          The effect of the MTHFR 677C→T variant on homocysteine concentration was larger in low folate regions (Asia; difference between individuals with TT versus CC genotype, 3·12 μmol/L, 95% CI 2·23 to 4·01) than in areas with folate fortification (America, Australia, and New Zealand, high; 0·13 μmol/L, −0·85 to 1·11). The odds ratio (OR) for stroke was also higher in Asia (1·68, 95% CI 1·44 to 1·97) than in America, Australia, and New Zealand, high (1·03, 0·84 to 1·25). Most randomised trials took place in regions with high or increasing population folate concentrations. The summary relative risk (RR) of stroke in trials of homocysteine-lowering interventions (0·94, 95% CI 0·85 to 1·04) was similar to that predicted for the same extent of homocysteine reduction in large genetic studies in populations with similar folate status (predicted RR 1·00, 95% CI 0·90 to 1·11). Although the predicted effect of homocysteine reduction from large genetic studies in low folate regions (Asia) was larger (RR 0·78, 95% CI 0·68 to 0·90), no trial has evaluated the effect of lowering of homocysteine on stroke risk exclusively in a low folate region.

          Interpretation

          In regions with increasing levels or established policies of population folate supplementation, evidence from genetic studies and randomised trials is concordant in suggesting an absence of benefit from lowering of homocysteine for prevention of stroke. Further large-scale genetic studies of the association between MTHFR 677C→T and stroke in low folate settings are needed to distinguish effect modification by folate from small-study bias. If future randomised trials of homocysteine-lowering interventions for stroke prevention are undertaken, they should take place in regions with low folate consumption.

          Funding

          Full funding sources listed at end of paper (see Acknowledgments).

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          Most cited references70

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          Measuring inconsistency in meta-analyses.

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            Bias in meta-analysis detected by a simple, graphical test

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              Bias in meta-analysis detected by a simple, graphical test.

              Funnel plots (plots of effect estimates against sample size) may be useful to detect bias in meta-analyses that were later contradicted by large trials. We examined whether a simple test of asymmetry of funnel plots predicts discordance of results when meta-analyses are compared to large trials, and we assessed the prevalence of bias in published meta-analyses. Medline search to identify pairs consisting of a meta-analysis and a single large trial (concordance of results was assumed if effects were in the same direction and the meta-analytic estimate was within 30% of the trial); analysis of funnel plots from 37 meta-analyses identified from a hand search of four leading general medicine journals 1993-6 and 38 meta-analyses from the second 1996 issue of the Cochrane Database of Systematic Reviews. Degree of funnel plot asymmetry as measured by the intercept from regression of standard normal deviates against precision. In the eight pairs of meta-analysis and large trial that were identified (five from cardiovascular medicine, one from diabetic medicine, one from geriatric medicine, one from perinatal medicine) there were four concordant and four discordant pairs. In all cases discordance was due to meta-analyses showing larger effects. Funnel plot asymmetry was present in three out of four discordant pairs but in none of concordant pairs. In 14 (38%) journal meta-analyses and 5 (13%) Cochrane reviews, funnel plot asymmetry indicated that there was bias. A simple analysis of funnel plots provides a useful test for the likely presence of bias in meta-analyses, but as the capacity to detect bias will be limited when meta-analyses are based on a limited number of small trials the results from such analyses should be treated with considerable caution.
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                Author and article information

                Contributors
                Journal
                Lancet
                Lancet
                Lancet
                Lancet Publishing Group
                0140-6736
                1474-547X
                13 August 2011
                13 August 2011
                : 378
                : 9791
                : 584-594
                Affiliations
                [a ]Research Department of Epidemiology and Public Health, University College London, London, UK
                [b ]Department of Clinical Pharmacology, University College London, London, UK
                [c ]Centre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London, UK
                [d ]Department of Clinical and Experimental Epilepsy, University College London, London, UK
                [e ]Institute of Neurology, University College London, London, UK
                [f ]Faculty of Epidemiology and Public Health, London School of Hygiene and Tropical Medicine, London, UK
                [g ]Genetics, R&D, GlaxoSmithKline, Stevenage, UK
                [h ]Institute for Clinical and Experimental Medicine and Centre for Cardiovascular Research, Prague, Czech Republic
                [i ]Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
                [j ]Clinical Gerontology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
                [k ]MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
                [l ]Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
                [m ]Genetic Epidemiology Group, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, UK
                [n ]Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, Netherlands
                [o ]German Centre for Neurodegenerative diseases (DZNE), Bonn, Germany
                [p ]Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin at Madison, Madison, WI, USA
                [q ]Imperial College Cerebrovascular Research Unit (ICCRU), Imperial College London, London, UK
                [r ]Centre for Population Health Sciences, University of Edinburgh, Edinburgh, UK
                [s ]Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands
                [t ]Russian Institute of Haematology and Transfusion, St Petersburg, Russia
                [u ]Department of Neurology, Pandy County Hospital, Gyula, Hungary
                [v ]Utrecht Stroke Center, Department of Neurology, and Julius Center, University Medical Center Utrecht, Netherlands
                [w ]Department of Clinical Chemistry and Haematology, University Medical Center Utrecht, Netherlands
                [x ]Department of Neurology, University Hospital Zurich, Zurich, Switzerland
                [y ]Department of Clinical Biochemistry, Herlev University Hospital, Herlev, Denmark
                [z ]Laboratory of Neurogenetics, National Institute on Aging, US National Institute of Health, Bethesda, MD, USA
                [aa ]National Institute on Aging, Baltimore, MD, USA
                [ab ]Department of Neurology, University of Virginia, Charlottesville, VA, USA
                [ac ]Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
                [ad ]School of Surgery, University of Western Australia, Perth, WA, Australia
                [ae ]School of Medicine and Pharmacology, University of Western Australia, Perth, WA, Australia
                [af ]School of Psychiatry and Clinical Neurosciences, University of Western Australia, Perth, WA, Australia
                [ag ]School of Pathology and Laboratory Medicine, University of Western Australia, Perth, WA, Australia
                [ah ]Western Australian Centre for Health and Ageing (WACHA), Western Australia Institute for Medical Research, Perth, WA, Australia
                [ai ]Department of Psychiatry, Royal Perth Hospital, Perth, WA, Australia
                [aj ]Cardiovascular Genetics Laboratory, Division of Laboratory Medicine, Royal Perth Hospital, Perth, WA, Australia
                [ak ]National Center for Geriatrics and Gerontology, Obu City, Japan
                [al ]MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, UK
                [am ]School of Social and Community Medicine, University of Bristol, Bristol, UK
                [an ]Department of Neurology, Mayo Clinic, Jacksonville, FL, USA
                Author notes
                [* ]Correspondence to: Dr Juan P Casas, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK juan.pablo-casas@ 123456lshtm.ac.uk
                [‡]

                These authors contributed equally

                Article
                LANCET60872
                10.1016/S0140-6736(11)60872-6
                3156981
                21803414
                08ec69f9-43f8-42f1-8063-643555dddf0f
                © 2011 Elsevier Ltd. All rights reserved.

                This document may be redistributed and reused, subject to certain conditions.

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