Literature DB >> 29971434

Association of Coffee Drinking With Mortality by Genetic Variation in Caffeine Metabolism: Findings From the UK Biobank.

Erikka Loftfield1, Marilyn C Cornelis2, Neil Caporaso3, Kai Yu4, Rashmi Sinha1, Neal Freedman1.   

Abstract

Importance: Prospective cohorts in North America, Europe, and Asia show consistent inverse associations between coffee drinking and mortality, including deaths from cardiovascular disease and some cancers. However, concerns about coffee, particularly among people with common genetic polymorphisms affecting caffeine metabolism and among those drinking more than 5 cups per day, remain. Objective: To evaluate associations of coffee drinking with mortality by genetic caffeine metabolism score. Design, Setting, and Participants: The UK Biobank is a population-based study that invited approximately 9.2 million individuals from across the United Kingdom to participate. We used baseline demographic, lifestyle, and genetic data form the UK Biobank cohort, with follow-up beginning in 2006 and ending in 2016, to estimate hazard ratios (HRs) for coffee intake and mortality, using multivariable-adjusted Cox proportional hazards models. We investigated potential effect modification by caffeine metabolism, defined by a genetic score of previously identified polymorphisms in AHR, CYP1A2, CYP2A6, and POR that have an effect on caffeine metabolism. Of the 502 641 participants who consented with baseline data, we included those who were not pregnant and had complete data on coffee intake and smoking status (n = 498 134). Exposures: Total, ground, instant, and decaffeinated coffee intake. Main Outcomes and Measures: All-cause and cause-specific mortality.
Results: The mean age of the participants was 57 years (range, 38-73 years); 271 019 (54%) were female, and 387 494 (78%) were coffee drinkers. Over 10 years of follow-up, 14 225 deaths occurred. Coffee drinking was inversely associated with all-cause mortality. Using non-coffee drinkers as the reference group, HRs for drinking less than 1, 1, 2 to 3, 4 to 5, 6 to 7, and 8 or more cups per day were 0.94 (95% CI, 0.88-1.01), 0.92 (95% CI, 0.87-0.97), 0.88 (95% CI, 0.84-0.93), 0.88 (95% CI, 0.83-0.93), 0.84 (95% CI, 0.77-0.92), and 0.86 (95% CI, 0.77-0.95), respectively. Similar associations were observed for instant, ground, and decaffeinated coffee, across common causes of death, and regardless of genetic caffeine metabolism score. For example, the HRs for 6 or more cups per day ranged from 0.70 (95% CI, 0.53-0.94) to 0.92 (95% CI, 0.78-1.10), with no evidence of effect modification across strata of caffeine metabolism score (P = .17 for heterogeneity). Conclusions and Relevance: Coffee drinking was inversely associated with mortality, including among those drinking 8 or more cups per day and those with genetic polymorphisms indicating slower or faster caffeine metabolism. These findings suggest the importance of noncaffeine constituents in the coffee-mortality association and provide further reassurance that coffee drinking can be a part of a healthy diet.

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Year:  2018        PMID: 29971434      PMCID: PMC6143111          DOI: 10.1001/jamainternmed.2018.2425

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  29 in total

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Authors:  Erikka Loftfield; Neal D Freedman; Barry I Graubard; Kristin A Guertin; Amanda Black; Wen-Yi Huang; Fatma M Shebl; Susan T Mayne; Rashmi Sinha
Journal:  Am J Epidemiol       Date:  2015-11-27       Impact factor: 4.897

2.  Associations of Coffee Drinking with Systemic Immune and Inflammatory Markers.

Authors:  Erikka Loftfield; Meredith S Shiels; Barry I Graubard; Hormuzd A Katki; Anil K Chaturvedi; Britton Trabert; Ligia A Pinto; Troy J Kemp; Fatma M Shebl; Susan T Mayne; Nicolas Wentzensen; Mark P Purdue; Allan Hildesheim; Rashmi Sinha; Neal D Freedman
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-05-21       Impact factor: 4.254

3.  Associations of Coffee Drinking and Cancer Mortality in the Cancer Prevention Study-II.

Authors:  Susan M Gapstur; Rebecca L Anderson; Peter T Campbell; Eric J Jacobs; Terryl J Hartman; Janet S Hildebrand; Ying Wang; Marjorie L McCullough
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-07-27       Impact factor: 4.254

4.  Caffeine intake, smoking, and risk of Parkinson disease in men and women.

Authors:  Rui Liu; Xuguang Guo; Yikyung Park; Xuemei Huang; Rashmi Sinha; Neal D Freedman; Albert R Hollenbeck; Aaron Blair; Honglei Chen
Journal:  Am J Epidemiol       Date:  2012-04-13       Impact factor: 4.897

5.  Evaluation of various biomarkers as potential mediators of the association between coffee consumption and incident type 2 diabetes in the EPIC-Potsdam Study.

Authors:  Simone Jacobs; Janine Kröger; Anna Floegel; Heiner Boeing; Dagmar Drogan; Tobias Pischon; Andreas Fritsche; Cornelia Prehn; Jerzy Adamski; Berend Isermann; Cornelia Weikert; Matthias B Schulze
Journal:  Am J Clin Nutr       Date:  2014-07-23       Impact factor: 7.045

6.  Coffee, CYP1A2 genotype, and risk of myocardial infarction.

Authors:  Marilyn C Cornelis; Ahmed El-Sohemy; Edmond K Kabagambe; Hannia Campos
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7.  Coffee Drinking and Mortality in 10 European Countries: A Multinational Cohort Study.

Authors:  Marc J Gunter; Neil Murphy; Amanda J Cross; Laure Dossus; Laureen Dartois; Guy Fagherazzi; Rudolf Kaaks; Tilman Kühn; Heiner Boeing; Krasimira Aleksandrova; Anne Tjønneland; Anja Olsen; Kim Overvad; Sofus Christian Larsen; Maria Luisa Redondo Cornejo; Antonio Agudo; María José Sánchez Pérez; Jone M Altzibar; Carmen Navarro; Eva Ardanaz; Kay-Tee Khaw; Adam Butterworth; Kathryn E Bradbury; Antonia Trichopoulou; Pagona Lagiou; Dimitrios Trichopoulos; Domenico Palli; Sara Grioni; Paolo Vineis; Salvatore Panico; Rosario Tumino; Bas Bueno-de-Mesquita; Peter Siersema; Max Leenders; Joline W J Beulens; Cuno U Uiterwaal; Peter Wallström; Lena Maria Nilsson; Rikard Landberg; Elisabete Weiderpass; Guri Skeie; Tonje Braaten; Paul Brennan; Idlir Licaj; David C Muller; Rashmi Sinha; Nick Wareham; Elio Riboli
Journal:  Ann Intern Med       Date:  2017-07-11       Impact factor: 25.391

8.  Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior.

Authors:  Marilyn C Cornelis; Tim Kacprowski; Cristina Menni; Stefan Gustafsson; Edward Pivin; Jerzy Adamski; Anna Artati; Chin B Eap; Georg Ehret; Nele Friedrich; Andrea Ganna; Idris Guessous; Georg Homuth; Lars Lind; Patrik K Magnusson; Massimo Mangino; Nancy L Pedersen; Maik Pietzner; Karsten Suhre; Henry Völzke; Murielle Bochud; Tim D Spector; Hans J Grabe; Erik Ingelsson
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9.  UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age.

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10.  Associations of coffee genetic risk scores with consumption of coffee, tea and other beverages in the UK Biobank.

Authors:  Amy E Taylor; George Davey Smith; Marcus R Munafò
Journal:  Addiction       Date:  2017-09-29       Impact factor: 6.526

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2.  Coffee and tea consumption and mortality from all causes, cardiovascular disease and cancer: a pooled analysis of prospective studies from the Asia Cohort Consortium.

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Journal:  Int J Epidemiol       Date:  2022-05-09       Impact factor: 9.685

3.  Role of the Aryl Hydrocarbon Receptor (AhR) in Mediating the Effects of Coffee in the Colon.

Authors:  Robert S Chapkin; Laurie A Davidson; Hyejin Park; Un-Ho Jin; Yang-Yi Fan; Yating Cheng; Martha E Hensel; Kerstin K Landrock; Clinton Allred; Rani Menon; Cory Klemashevich; Arul Jayaraman; Stephen Safe
Journal:  Mol Nutr Food Res       Date:  2021-08-31       Impact factor: 6.575

4.  Coffee consumption and all-cause and cause-specific mortality: a meta-analysis by potential modifiers.

Authors:  Youngyo Kim; Youjin Je; Edward Giovannucci
Journal:  Eur J Epidemiol       Date:  2019-05-04       Impact factor: 8.082

5.  One More Reason to Continue Drinking Coffee-It May Be Good for Your Skin.

Authors:  Mackenzie R Wehner; Eleni Linos
Journal:  JAMA Dermatol       Date:  2018-12-01       Impact factor: 10.282

Review 6.  Preventing Lethal Prostate Cancer with Diet, Supplements, and Rx: Heart Healthy Continues to Be Prostate Healthy and "First Do No Harm" Part I.

Authors:  Mark A Moyad
Journal:  Curr Urol Rep       Date:  2018-10-27       Impact factor: 3.092

7.  White Blood Cell Count and Risk of Incident Lung Cancer in the UK Biobank.

Authors:  Jason Y Y Wong; Bryan A Bassig; Erikka Loftfield; Wei Hu; Neal D Freedman; Bu-Tian Ji; Paul Elliott; Debra T Silverman; Stephen J Chanock; Nathaniel Rothman; Qing Lan
Journal:  JNCI Cancer Spectr       Date:  2019-12-12

8.  Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption.

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9.  Commute patterns, residential traffic-related air pollution, and lung cancer risk in the prospective UK Biobank cohort study.

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Review 10.  Causal relationship from coffee consumption to diseases and mortality: a review of observational and Mendelian randomization studies including cardiometabolic diseases, cancer, gallstones and other diseases.

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