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      The Effect of Chromosome 9p21 Variants on Cardiovascular Disease May Be Modified by Dietary Intake: Evidence from a Case/Control and a Prospective Study

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          Abstract

          Ron Do and colleagues find that a prudent diet high in raw vegetables may modify the increased genetic risk of cardiovascular disease conferred by the chromosome 9p21 SNP.

          Abstract

          Background

          One of the most robust genetic associations for cardiovascular disease (CVD) is the Chromosome 9p21 region. However, the interaction of this locus with environmental factors has not been extensively explored. We investigated the association of 9p21 with myocardial infarction (MI) in individuals of different ethnicities, and tested for an interaction with environmental factors.

          Methods and Findings

          We genotyped four 9p21 SNPs in 8,114 individuals from the global INTERHEART study. All four variants were associated with MI, with odds ratios (ORs) of 1.18 to 1.20 (1.85×10 −8p≤5.21×10 −7). A significant interaction ( p = 4.0×10 −4) was observed between rs2383206 and a factor-analysis-derived “prudent” diet pattern score, for which a major component was raw vegetables. An effect of 9p21 on MI was observed in the group with a low prudent diet score (OR = 1.32, p = 6.82×10 −7), but the effect was diminished in a step-wise fashion in the medium (OR = 1.17, p = 4.9×10 −3) and high prudent diet scoring groups (OR = 1.02, p = 0.68) ( p = 0.014 for difference). We also analyzed data from 19,129 individuals (including 1,014 incident cases of CVD) from the prospective FINRISK study, which used a closely related dietary variable. In this analysis, the 9p21 risk allele demonstrated a larger effect on CVD risk in the groups with diets low or average for fresh vegetables, fruits, and berries (hazard ratio [HR] = 1.22, p = 3.0×10 −4, and HR = 1.35, p = 4.1×10 −3, respectively) compared to the group with high consumption of these foods (HR = 0.96, p = 0.73) ( p = 0.0011 for difference). The combination of the least prudent diet and two copies of the risk allele was associated with a 2-fold increase in risk for MI (OR = 1.98, p = 2.11×10 −9) in the INTERHEART study and a 1.66-fold increase in risk for CVD in the FINRISK study (HR = 1.66, p = 0.0026).

          Conclusions

          The risk of MI and CVD conferred by Chromosome 9p21 SNPs appears to be modified by a prudent diet high in raw vegetables and fruits.

          Please see later in the article for the Editors' Summary

          Editors' Summary

          Background

          Cardiovascular diseases (CVDs)—diseases that affect the heart and/or the blood vessels—are a leading cause of illness and death worldwide. In the United States, for example, the leading cause of death is coronary heart disease, a CVD in which narrowing of the heart's blood vessels by fatty deposits slows the blood supply to the heart and may eventually cause a heart attack (myocardial infarction, or MI); the third leading cause of death in the US is stroke, a CVD in which the brain's blood supply is interrupted. Environmental factors such as diet, physical activity, and smoking alter a person's risk of developing CVD. In addition, certain genetic variants (alterations in the DNA that forms the body's blueprint; DNA is packed into structures called chromosomes) alter the risk of developing CVD and are passed from parent to child. Thus, in CVD, as in most common diseases, both genetics and the environment play a role.

          Why Was This Study Done?

          Recent studies have identified several genetic variants that are associated with an increased risk of developing CVD. One of the most robust of these genetic associations is a cluster of single nucleotide polymorphisms (SNPs, differences in a single DNA building block) in a chromosomal region (locus) called 9p21. So far, this association has been mainly studied in European populations. Moreover, the interaction of this locus with environmental factors has not been extensively studied. A better understanding of how 9p21 variants affect CVD risk in people of different ethnicities and of the interaction between this locus and environmental factors could allow the development of targeted strategies for the prevention of CVD. In this study, the researchers investigate the association of 9p21 risk variants with CVD in people of different ethnicities and test for an interaction between this locus and environmental factors.

          What Did the Researchers Do and Find?

          The researchers assessed four 9p21 SNPs in people enrolled in the INTERHEART study, a global retrospective case-control study that investigated potential MI risk factors by comparing people who had had an acute non-fatal MI with similar people without heart disease. All four SNP risk variants increased the risk of MI by about a fifth. However, the effect of the SNPs on MI was influenced by the “prudent” diet pattern score of the INTERHEART participants, a score that includes fresh fruit and vegetable intake as recorded in food frequency questionnaires. That is, the risk of MI in people carrying SNP risk variants was influenced by their diet. The strongest interaction was seen with an SNP called rs2383206, but although rs2383206 carriers who ate a diet poor in fruits and vegetables had a higher risk of MI than people with a similar diet who did not carry this SNP, rs2383206 carriers and non-carriers who ate a fruit- and vegetable-rich diet had a comparable MI risk. Overall, the combination of the least “prudent” diet and two copies of the risk variant (human cells contain two complete sets of chromosomes) was associated with a two-fold increase in risk for MI in the INTERHEART study. Additionally, data collected in the FINRISK study, which characterized healthy individuals living in Finland at baseline and then followed them to see whether they developed CVD, revealed a similar interaction between diet and 9p21 SNPs.

          What Do These Findings Mean?

          These findings suggest that the risk of CVD conferred by chromosome 9p21 SNPs may be influenced by diet in multiple ethnic groups. Importantly, they suggest that the deleterious effect of 9p21 SNPs on CVD might be mitigated by consuming a diet rich in fresh fruits and vegetables. The accuracy of these findings may be affected by recall bias in the INTERHEART study (that is, some people may not have remembered their diet accurately) and by the small number of CVD cases in the FINRISK study. Nevertheless, these findings suggest that gene–environment interactions are important drivers of CVD, and they raise the possibility that a sound diet can mediate the effects of 9p21 SNPs.

          Additional Information

          Please access these websites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001106.

          Related collections

          Most cited references23

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          Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study

          The Lancet, 349(9064), 1498-1504
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            Genomewide association analysis of coronary artery disease.

            Modern genotyping platforms permit a systematic search for inherited components of complex diseases. We performed a joint analysis of two genomewide association studies of coronary artery disease. We first identified chromosomal loci that were strongly associated with coronary artery disease in the Wellcome Trust Case Control Consortium (WTCCC) study (which involved 1926 case subjects with coronary artery disease and 2938 controls) and looked for replication in the German MI [Myocardial Infarction] Family Study (which involved 875 case subjects with myocardial infarction and 1644 controls). Data on other single-nucleotide polymorphisms (SNPs) that were significantly associated with coronary artery disease in either study (P 80%) of a true association: chromosomes 1p13.3 (rs599839), 1q41 (rs17465637), 10q11.21 (rs501120), and 15q22.33 (rs17228212). We identified several genetic loci that, individually and in aggregate, substantially affect the risk of development of coronary artery disease. Copyright 2007 Massachusetts Medical Society.
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              A note on exact tests of Hardy-Weinberg equilibrium.

              Deviations from Hardy-Weinberg equilibrium (HWE) can indicate inbreeding, population stratification, and even problems in genotyping. In samples of affected individuals, these deviations can also provide evidence for association. Tests of HWE are commonly performed using a simple chi2 goodness-of-fit test. We show that this chi2 test can have inflated type I error rates, even in relatively large samples (e.g., samples of 1,000 individuals that include approximately 100 copies of the minor allele). On the basis of previous work, we describe exact tests of HWE together with efficient computational methods for their implementation. Our methods adequately control type I error in large and small samples and are computationally efficient. They have been implemented in freely available code that will be useful for quality assessment of genotype data and for the detection of genetic association or population stratification in very large data sets.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, USA )
                1549-1277
                1549-1676
                October 2011
                October 2011
                11 October 2011
                05 December 2011
                : 8
                : 10
                : e1001106
                Affiliations
                [1 ]Department of Human Genetics, McGill University, Montréal, Quebec, Canada
                [2 ]Population Health Research Institute, Hamilton Health Sciences, and McMaster University, Hamilton, Ontario, Canada
                [3 ]Departments of Medicine and Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada
                [4 ]Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
                [5 ]Estudios Cardiologicos Latinoamerica, Rosario, Argentina
                [6 ]Cardiovascular Institute and Fu Wai Hospital, Chinese Hypertension League Institute, Beijing, China
                [7 ]Laboratory of Human Genetics, Beijing Hypertension League Institute, Beijing, China
                [8 ]Human Genomics Unit, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
                [9 ]Department of Medicine, McGill University, Montréal, Quebec, Canada
                [10 ]The Research Institute of the McGill University Health Centre, Montréal, Quebec, Canada
                Kings College London, United Kingdom
                Author notes

                Conceived and designed the experiments: RDo SSA JCE VS. Performed the experiments: RDo. Analyzed the data: RDo CX XZ SM KH KS SI SDB VS SSA JCE. Contributed reagents/materials/analysis tools: SR MJM LP VS RDiaz LL XW SY. Wrote the first draft of the manuscript: RDo. Contributed to the writing of the manuscript: RDo SSA JCE VS SY. ICMJE criteria for authorship read and met: RDo CX XZ SM KH SI SDB SR MJM RDiaz LL XW KS LP SSA JCE VS SY. Agree with manuscript results and conclusions: RDo CX XZ SM KH SI SDB SR MJM RDiaz LL XW KS LP SSA JCE VS SY.

                † Deceased.

                Article
                PMEDICINE-D-11-00074
                10.1371/journal.pmed.1001106
                3191151
                22022235
                5fac25b5-fba7-49f9-9564-8644d91eb76d
                Do et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 11 January 2011
                : 30 August 2011
                Page count
                Pages: 10
                Categories
                Research Article
                Biology
                Medicine

                Medicine
                Medicine

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