Evaluating the relationship between alcohol consumption, tobacco use, and cardiovascular disease: A multivariable Mendelian randomization study

Alcohol consumption and smoking, 2 major risk factors for cardiovascular disease (CVD), often occur together. The objective of this study is to use a wide range of CVD risk factors and outcomes to evaluate potential total and direct causal roles of alcohol and tobacco use on CVD risk factors and eve...

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Veröffentlicht in:PLoS medicine 2020-12, Vol.17 (12), p.e1003410
Hauptverfasser: Rosoff, Daniel B, Davey Smith, George, Mehta, Nehal, Clarke, Toni-Kim, Lohoff, Falk W
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Davey Smith, George
Mehta, Nehal
Clarke, Toni-Kim
Lohoff, Falk W
description Alcohol consumption and smoking, 2 major risk factors for cardiovascular disease (CVD), often occur together. The objective of this study is to use a wide range of CVD risk factors and outcomes to evaluate potential total and direct causal roles of alcohol and tobacco use on CVD risk factors and events. Using large publicly available genome-wide association studies (GWASs) (results from more than 1.2 million combined study participants) of predominantly European ancestry, we conducted 2-sample single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomization (MVMR) to simultaneously assess the independent impact of alcohol consumption and smoking on a wide range of CVD risk factors and outcomes. Multiple sensitivity analyses, including complementary Mendelian randomization (MR) methods, and secondary alcohol consumption and smoking datasets were used. SVMR showed genetic predisposition for alcohol consumption to be associated with CVD risk factors, including high-density lipoprotein cholesterol (HDL-C) (beta 0.40, 95% confidence interval (CI), 0.04-0.47, P value = 1.72 × 10-28), triglycerides (TRG) (beta -0.23, 95% CI, -0.30, -0.15, P value = 4.69 × 10-10), automated systolic blood pressure (BP) measurement (beta 0.11, 95% CI, 0.03-0.18, P value = 4.72 × 10-3), and automated diastolic BP measurement (beta 0.09, 95% CI, 0.03-0.16, P value = 5.24 × 10-3). Conversely, genetically predicted smoking was associated with increased TRG (beta 0.097, 95% CI, 0.014-0.027, P value = 6.59 × 10-12). Alcohol consumption was also associated with increased myocardial infarction (MI) and coronary heart disease (CHD) risks (MI odds ratio (OR) = 1.24, 95% CI, 1.03-1.50, P value = 0.02; CHD OR = 1.21, 95% CI, 1.01-1.45, P value = 0.04); however, its impact was attenuated in MVMR adjusting for smoking. Conversely, alcohol maintained an association with coronary atherosclerosis (OR 1.02, 95% CI, 1.01-1.03, P value = 5.56 × 10-4). In comparison, after adjusting for alcohol consumption, smoking retained its association with several CVD outcomes including MI (OR = 1.84, 95% CI, 1.43, 2.37, P value = 2.0 × 10-6), CHD (OR = 1.64, 95% CI, 1.28-2.09, P value = 8.07 × 10-5), heart failure (HF) (OR = 1.61, 95% CI, 1.32-1.95, P value = 1.9 × 10-6), and large artery atherosclerosis (OR = 2.4, 95% CI, 1.41-4.07, P value = 0.003). Notably, using the FinnGen cohort data, we were able to replicate the association between smoking and several CVD outcomes including MI (OR
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The objective of this study is to use a wide range of CVD risk factors and outcomes to evaluate potential total and direct causal roles of alcohol and tobacco use on CVD risk factors and events. Using large publicly available genome-wide association studies (GWASs) (results from more than 1.2 million combined study participants) of predominantly European ancestry, we conducted 2-sample single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomization (MVMR) to simultaneously assess the independent impact of alcohol consumption and smoking on a wide range of CVD risk factors and outcomes. Multiple sensitivity analyses, including complementary Mendelian randomization (MR) methods, and secondary alcohol consumption and smoking datasets were used. SVMR showed genetic predisposition for alcohol consumption to be associated with CVD risk factors, including high-density lipoprotein cholesterol (HDL-C) (beta 0.40, 95% confidence interval (CI), 0.04-0.47, P value = 1.72 × 10-28), triglycerides (TRG) (beta -0.23, 95% CI, -0.30, -0.15, P value = 4.69 × 10-10), automated systolic blood pressure (BP) measurement (beta 0.11, 95% CI, 0.03-0.18, P value = 4.72 × 10-3), and automated diastolic BP measurement (beta 0.09, 95% CI, 0.03-0.16, P value = 5.24 × 10-3). Conversely, genetically predicted smoking was associated with increased TRG (beta 0.097, 95% CI, 0.014-0.027, P value = 6.59 × 10-12). Alcohol consumption was also associated with increased myocardial infarction (MI) and coronary heart disease (CHD) risks (MI odds ratio (OR) = 1.24, 95% CI, 1.03-1.50, P value = 0.02; CHD OR = 1.21, 95% CI, 1.01-1.45, P value = 0.04); however, its impact was attenuated in MVMR adjusting for smoking. Conversely, alcohol maintained an association with coronary atherosclerosis (OR 1.02, 95% CI, 1.01-1.03, P value = 5.56 × 10-4). In comparison, after adjusting for alcohol consumption, smoking retained its association with several CVD outcomes including MI (OR = 1.84, 95% CI, 1.43, 2.37, P value = 2.0 × 10-6), CHD (OR = 1.64, 95% CI, 1.28-2.09, P value = 8.07 × 10-5), heart failure (HF) (OR = 1.61, 95% CI, 1.32-1.95, P value = 1.9 × 10-6), and large artery atherosclerosis (OR = 2.4, 95% CI, 1.41-4.07, P value = 0.003). Notably, using the FinnGen cohort data, we were able to replicate the association between smoking and several CVD outcomes including MI (OR = 1.77, 95% CI, 1.10-2.84, P value = 0.02), HF (OR = 1.67, 95% CI, 1.14-2.46, P value = 0.008), and peripheral artery disease (PAD) (OR = 2.35, 95% CI, 1.38-4.01, P value = 0.002). The main limitations of this study include possible bias from unmeasured confounders, inability of summary-level MR to investigate a potentially nonlinear relationship between alcohol consumption and CVD risk, and the generalizability of the UK Biobank (UKB) to other populations. Evaluating the widest range of CVD risk factors and outcomes of any alcohol consumption or smoking MR study to date, we failed to find a cardioprotective impact of genetically predicted alcohol consumption on CVD outcomes. However, alcohol was associated with and increased HDL-C, decreased TRG, and increased BP, which may indicate pathways through impact CVD risk, warranting further study. We found smoking to be a risk factor for many CVDs even after adjusting for alcohol. While future studies incorporating alcohol consumption patterns are necessary, our data suggest causal inference between alcohol, smoking, and CVD risk, further supporting that lifestyle modifications might be able to reduce overall CVD risk.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.1003410</identifier><identifier>PMID: 33275596</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Alcohol Drinking - adverse effects ; Alcohol Drinking - epidemiology ; Alcohol Drinking - genetics ; Alcohol use ; Alcoholic beverages ; Apolipoprotein B ; Beer ; Biology and Life Sciences ; Cardiovascular disease ; Cardiovascular diseases ; Cardiovascular Diseases - diagnosis ; Cardiovascular Diseases - epidemiology ; Cardiovascular Diseases - genetics ; Champagne ; Cholesterol ; Cider ; Consortia ; Coronary artery ; Coronary artery disease ; Coronary vessels ; Drinking of alcoholic beverages ; Epidemiology ; Genetic aspects ; Genetic Predisposition to Disease ; Genetics ; Genome-wide association studies ; Genome-Wide Association Study ; Genomes ; Genotype &amp; phenotype ; Health aspects ; Heart Disease Risk Factors ; Heart diseases ; High density lipoprotein ; Humans ; Lipids ; Lipoproteins ; Low density lipoprotein ; Medicine and Health Sciences ; Mendelian Randomization Analysis ; Multivariate Analysis ; Phenotypes ; Polymorphism, Single Nucleotide ; Risk Assessment ; Risk factors ; Single-nucleotide polymorphism ; Smoking ; Social Sciences ; Stroke ; Tobacco ; Tobacco Use - adverse effects ; Tobacco Use - epidemiology ; Tobacco Use - genetics ; Triglycerides ; Wine</subject><ispartof>PLoS medicine, 2020-12, Vol.17 (12), p.e1003410</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c764t-87695d0d68f671735c67e411d4884125b827b07a7324614d053076791332d6fd3</citedby><cites>FETCH-LOGICAL-c764t-87695d0d68f671735c67e411d4884125b827b07a7324614d053076791332d6fd3</cites><orcidid>0000-0002-0480-7755 ; 0000-0002-1407-8314</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717538/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7717538/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33275596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Gill, Dipender</contributor><creatorcontrib>Rosoff, Daniel B</creatorcontrib><creatorcontrib>Davey Smith, George</creatorcontrib><creatorcontrib>Mehta, Nehal</creatorcontrib><creatorcontrib>Clarke, Toni-Kim</creatorcontrib><creatorcontrib>Lohoff, Falk W</creatorcontrib><title>Evaluating the relationship between alcohol consumption, tobacco use, and cardiovascular disease: A multivariable Mendelian randomization study</title><title>PLoS medicine</title><addtitle>PLoS Med</addtitle><description>Alcohol consumption and smoking, 2 major risk factors for cardiovascular disease (CVD), often occur together. The objective of this study is to use a wide range of CVD risk factors and outcomes to evaluate potential total and direct causal roles of alcohol and tobacco use on CVD risk factors and events. Using large publicly available genome-wide association studies (GWASs) (results from more than 1.2 million combined study participants) of predominantly European ancestry, we conducted 2-sample single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomization (MVMR) to simultaneously assess the independent impact of alcohol consumption and smoking on a wide range of CVD risk factors and outcomes. Multiple sensitivity analyses, including complementary Mendelian randomization (MR) methods, and secondary alcohol consumption and smoking datasets were used. SVMR showed genetic predisposition for alcohol consumption to be associated with CVD risk factors, including high-density lipoprotein cholesterol (HDL-C) (beta 0.40, 95% confidence interval (CI), 0.04-0.47, P value = 1.72 × 10-28), triglycerides (TRG) (beta -0.23, 95% CI, -0.30, -0.15, P value = 4.69 × 10-10), automated systolic blood pressure (BP) measurement (beta 0.11, 95% CI, 0.03-0.18, P value = 4.72 × 10-3), and automated diastolic BP measurement (beta 0.09, 95% CI, 0.03-0.16, P value = 5.24 × 10-3). Conversely, genetically predicted smoking was associated with increased TRG (beta 0.097, 95% CI, 0.014-0.027, P value = 6.59 × 10-12). Alcohol consumption was also associated with increased myocardial infarction (MI) and coronary heart disease (CHD) risks (MI odds ratio (OR) = 1.24, 95% CI, 1.03-1.50, P value = 0.02; CHD OR = 1.21, 95% CI, 1.01-1.45, P value = 0.04); however, its impact was attenuated in MVMR adjusting for smoking. Conversely, alcohol maintained an association with coronary atherosclerosis (OR 1.02, 95% CI, 1.01-1.03, P value = 5.56 × 10-4). In comparison, after adjusting for alcohol consumption, smoking retained its association with several CVD outcomes including MI (OR = 1.84, 95% CI, 1.43, 2.37, P value = 2.0 × 10-6), CHD (OR = 1.64, 95% CI, 1.28-2.09, P value = 8.07 × 10-5), heart failure (HF) (OR = 1.61, 95% CI, 1.32-1.95, P value = 1.9 × 10-6), and large artery atherosclerosis (OR = 2.4, 95% CI, 1.41-4.07, P value = 0.003). Notably, using the FinnGen cohort data, we were able to replicate the association between smoking and several CVD outcomes including MI (OR = 1.77, 95% CI, 1.10-2.84, P value = 0.02), HF (OR = 1.67, 95% CI, 1.14-2.46, P value = 0.008), and peripheral artery disease (PAD) (OR = 2.35, 95% CI, 1.38-4.01, P value = 0.002). The main limitations of this study include possible bias from unmeasured confounders, inability of summary-level MR to investigate a potentially nonlinear relationship between alcohol consumption and CVD risk, and the generalizability of the UK Biobank (UKB) to other populations. Evaluating the widest range of CVD risk factors and outcomes of any alcohol consumption or smoking MR study to date, we failed to find a cardioprotective impact of genetically predicted alcohol consumption on CVD outcomes. However, alcohol was associated with and increased HDL-C, decreased TRG, and increased BP, which may indicate pathways through impact CVD risk, warranting further study. We found smoking to be a risk factor for many CVDs even after adjusting for alcohol. While future studies incorporating alcohol consumption patterns are necessary, our data suggest causal inference between alcohol, smoking, and CVD risk, further supporting that lifestyle modifications might be able to reduce overall CVD risk.</description><subject>Alcohol Drinking - adverse effects</subject><subject>Alcohol Drinking - epidemiology</subject><subject>Alcohol Drinking - genetics</subject><subject>Alcohol use</subject><subject>Alcoholic beverages</subject><subject>Apolipoprotein B</subject><subject>Beer</subject><subject>Biology and Life Sciences</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cardiovascular Diseases - diagnosis</subject><subject>Cardiovascular Diseases - epidemiology</subject><subject>Cardiovascular Diseases - genetics</subject><subject>Champagne</subject><subject>Cholesterol</subject><subject>Cider</subject><subject>Consortia</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Coronary vessels</subject><subject>Drinking of alcoholic beverages</subject><subject>Epidemiology</subject><subject>Genetic aspects</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetics</subject><subject>Genome-wide association studies</subject><subject>Genome-Wide Association Study</subject><subject>Genomes</subject><subject>Genotype &amp; phenotype</subject><subject>Health aspects</subject><subject>Heart Disease Risk Factors</subject><subject>Heart diseases</subject><subject>High density lipoprotein</subject><subject>Humans</subject><subject>Lipids</subject><subject>Lipoproteins</subject><subject>Low density lipoprotein</subject><subject>Medicine and Health Sciences</subject><subject>Mendelian Randomization Analysis</subject><subject>Multivariate Analysis</subject><subject>Phenotypes</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Risk Assessment</subject><subject>Risk factors</subject><subject>Single-nucleotide polymorphism</subject><subject>Smoking</subject><subject>Social Sciences</subject><subject>Stroke</subject><subject>Tobacco</subject><subject>Tobacco Use - adverse effects</subject><subject>Tobacco Use - epidemiology</subject><subject>Tobacco Use - genetics</subject><subject>Triglycerides</subject><subject>Wine</subject><issn>1549-1676</issn><issn>1549-1277</issn><issn>1549-1676</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqVk99qFDEUxgdRbK2-gWhAEIXumkxmkokXQilVC9WC_27D2eTMbkp2siYzq_UlfGWz223pyl4ouZjMye_7Tk4OpygeMzpmXLJXF2GIHfjxYo52zCjlFaN3in1WV2rEhBR3b-33igcpXVBaKqro_WKP81LWtRL7xe-TJfgBetdNST9DEtHnn9ClmVuQCfY_EDsC3oRZ8MTk-DBfrM4PSR8mYEwgQ8JDAp0lBqJ1YQnJDB4isS4hJHxNjsh88L1bQnQw8Ug-YGfRO-hIzLIwd7_WGUnqB3v5sLjXgk_4aPM9KL6-Pfly_H50dv7u9PjobGSkqPpRI4WqLbWiaYVkktdGSKwYs1XTVKysJ00pJ1SC5GUlWGVpzakUUrFcuRWt5QfF0yvfhQ9Jb94y6bJSlLOac5mJ0yvCBrjQi-jmEC91AKfXgRCnGmLvjEfNFW0UAEplZMVBKSu4qXhroC1No0T2erPJNkxyuwx2fQS_Zbp90rmZnoallrm4mjfZ4MXGIIbvA6Zez10y6D10GIbVvXOXmSpzgQfFs7_Q3dVtqCnkAlzXhpzXrEz1kahZ1Qgu6kyNdlBT7DBfMnTYuhze4sc7-Lwszp3ZKXi5JchMjz_7KQwp6dPPn_6D_fjv7Pm3bfb5LXaG4PtZCn5Yj8E2WF2BJoaUIrY3DWRUr2by-qX1aib1Ziaz7Mnt5t-IroeQ_wGEojEG</recordid><startdate>20201204</startdate><enddate>20201204</enddate><creator>Rosoff, Daniel B</creator><creator>Davey Smith, George</creator><creator>Mehta, Nehal</creator><creator>Clarke, Toni-Kim</creator><creator>Lohoff, Falk W</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><scope>CZK</scope><orcidid>https://orcid.org/0000-0002-0480-7755</orcidid><orcidid>https://orcid.org/0000-0002-1407-8314</orcidid></search><sort><creationdate>20201204</creationdate><title>Evaluating the relationship between alcohol consumption, tobacco use, and cardiovascular disease: A multivariable Mendelian randomization study</title><author>Rosoff, Daniel B ; 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Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Medicine</collection><jtitle>PLoS medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rosoff, Daniel B</au><au>Davey Smith, George</au><au>Mehta, Nehal</au><au>Clarke, Toni-Kim</au><au>Lohoff, Falk W</au><au>Gill, Dipender</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the relationship between alcohol consumption, tobacco use, and cardiovascular disease: A multivariable Mendelian randomization study</atitle><jtitle>PLoS medicine</jtitle><addtitle>PLoS Med</addtitle><date>2020-12-04</date><risdate>2020</risdate><volume>17</volume><issue>12</issue><spage>e1003410</spage><pages>e1003410-</pages><issn>1549-1676</issn><issn>1549-1277</issn><eissn>1549-1676</eissn><abstract>Alcohol consumption and smoking, 2 major risk factors for cardiovascular disease (CVD), often occur together. The objective of this study is to use a wide range of CVD risk factors and outcomes to evaluate potential total and direct causal roles of alcohol and tobacco use on CVD risk factors and events. Using large publicly available genome-wide association studies (GWASs) (results from more than 1.2 million combined study participants) of predominantly European ancestry, we conducted 2-sample single-variable Mendelian randomization (SVMR) and multivariable Mendelian randomization (MVMR) to simultaneously assess the independent impact of alcohol consumption and smoking on a wide range of CVD risk factors and outcomes. Multiple sensitivity analyses, including complementary Mendelian randomization (MR) methods, and secondary alcohol consumption and smoking datasets were used. SVMR showed genetic predisposition for alcohol consumption to be associated with CVD risk factors, including high-density lipoprotein cholesterol (HDL-C) (beta 0.40, 95% confidence interval (CI), 0.04-0.47, P value = 1.72 × 10-28), triglycerides (TRG) (beta -0.23, 95% CI, -0.30, -0.15, P value = 4.69 × 10-10), automated systolic blood pressure (BP) measurement (beta 0.11, 95% CI, 0.03-0.18, P value = 4.72 × 10-3), and automated diastolic BP measurement (beta 0.09, 95% CI, 0.03-0.16, P value = 5.24 × 10-3). Conversely, genetically predicted smoking was associated with increased TRG (beta 0.097, 95% CI, 0.014-0.027, P value = 6.59 × 10-12). Alcohol consumption was also associated with increased myocardial infarction (MI) and coronary heart disease (CHD) risks (MI odds ratio (OR) = 1.24, 95% CI, 1.03-1.50, P value = 0.02; CHD OR = 1.21, 95% CI, 1.01-1.45, P value = 0.04); however, its impact was attenuated in MVMR adjusting for smoking. Conversely, alcohol maintained an association with coronary atherosclerosis (OR 1.02, 95% CI, 1.01-1.03, P value = 5.56 × 10-4). In comparison, after adjusting for alcohol consumption, smoking retained its association with several CVD outcomes including MI (OR = 1.84, 95% CI, 1.43, 2.37, P value = 2.0 × 10-6), CHD (OR = 1.64, 95% CI, 1.28-2.09, P value = 8.07 × 10-5), heart failure (HF) (OR = 1.61, 95% CI, 1.32-1.95, P value = 1.9 × 10-6), and large artery atherosclerosis (OR = 2.4, 95% CI, 1.41-4.07, P value = 0.003). Notably, using the FinnGen cohort data, we were able to replicate the association between smoking and several CVD outcomes including MI (OR = 1.77, 95% CI, 1.10-2.84, P value = 0.02), HF (OR = 1.67, 95% CI, 1.14-2.46, P value = 0.008), and peripheral artery disease (PAD) (OR = 2.35, 95% CI, 1.38-4.01, P value = 0.002). The main limitations of this study include possible bias from unmeasured confounders, inability of summary-level MR to investigate a potentially nonlinear relationship between alcohol consumption and CVD risk, and the generalizability of the UK Biobank (UKB) to other populations. Evaluating the widest range of CVD risk factors and outcomes of any alcohol consumption or smoking MR study to date, we failed to find a cardioprotective impact of genetically predicted alcohol consumption on CVD outcomes. However, alcohol was associated with and increased HDL-C, decreased TRG, and increased BP, which may indicate pathways through impact CVD risk, warranting further study. We found smoking to be a risk factor for many CVDs even after adjusting for alcohol. While future studies incorporating alcohol consumption patterns are necessary, our data suggest causal inference between alcohol, smoking, and CVD risk, further supporting that lifestyle modifications might be able to reduce overall CVD risk.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33275596</pmid><doi>10.1371/journal.pmed.1003410</doi><orcidid>https://orcid.org/0000-0002-0480-7755</orcidid><orcidid>https://orcid.org/0000-0002-1407-8314</orcidid><oa>free_for_read</oa></addata></record>
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subjects Alcohol Drinking - adverse effects
Alcohol Drinking - epidemiology
Alcohol Drinking - genetics
Alcohol use
Alcoholic beverages
Apolipoprotein B
Beer
Biology and Life Sciences
Cardiovascular disease
Cardiovascular diseases
Cardiovascular Diseases - diagnosis
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - genetics
Champagne
Cholesterol
Cider
Consortia
Coronary artery
Coronary artery disease
Coronary vessels
Drinking of alcoholic beverages
Epidemiology
Genetic aspects
Genetic Predisposition to Disease
Genetics
Genome-wide association studies
Genome-Wide Association Study
Genomes
Genotype & phenotype
Health aspects
Heart Disease Risk Factors
Heart diseases
High density lipoprotein
Humans
Lipids
Lipoproteins
Low density lipoprotein
Medicine and Health Sciences
Mendelian Randomization Analysis
Multivariate Analysis
Phenotypes
Polymorphism, Single Nucleotide
Risk Assessment
Risk factors
Single-nucleotide polymorphism
Smoking
Social Sciences
Stroke
Tobacco
Tobacco Use - adverse effects
Tobacco Use - epidemiology
Tobacco Use - genetics
Triglycerides
Wine
title Evaluating the relationship between alcohol consumption, tobacco use, and cardiovascular disease: A multivariable Mendelian randomization study
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