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Phenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumption
Two genetic loci, one in the cytochrome P450 1A1 (CYP1A1) and 1A2 (CYP1A2) gene region (rs2472297) and one near the aryl-hydrocarbon receptor (AHR) gene (rs6968865), have been associated with habitual caffeine consumption. We sought to establish whether a more refined and comprehensive assessment of...
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Published in: | PloS one 2014-07, Vol.9 (7), p.e103448-e103448 |
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description | Two genetic loci, one in the cytochrome P450 1A1 (CYP1A1) and 1A2 (CYP1A2) gene region (rs2472297) and one near the aryl-hydrocarbon receptor (AHR) gene (rs6968865), have been associated with habitual caffeine consumption. We sought to establish whether a more refined and comprehensive assessment of caffeine consumption would provide stronger evidence of association, and whether a combined allelic score comprising these two variants would further strengthen the association. We used data from between 4,460 and 7,520 women in the Avon Longitudinal Study of Parents and Children, a longitudinal birth cohort based in the United Kingdom. Self-report data on coffee, tea and cola consumption (including consumption of decaffeinated drinks) were available at multiple time points. Both genotypes were individually associated with total caffeine consumption, and with coffee and tea consumption. There was no association with cola consumption, possibly due to low levels of consumption in this sample. There was also no association with measures of decaffeinated drink consumption, indicating that the observed association is most likely mediated via caffeine. The association was strengthened when a combined allelic score was used, accounting for up to 1.28% of phenotypic variance. This was not associated with potential confounders of observational association. A combined allelic score accounts for sufficient phenotypic variance in caffeine consumption that this may be useful in Mendelian randomization studies. Future studies may therefore be able to use this combined allelic score to explore causal effects of habitual caffeine consumption on health outcomes. |
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We sought to establish whether a more refined and comprehensive assessment of caffeine consumption would provide stronger evidence of association, and whether a combined allelic score comprising these two variants would further strengthen the association. We used data from between 4,460 and 7,520 women in the Avon Longitudinal Study of Parents and Children, a longitudinal birth cohort based in the United Kingdom. Self-report data on coffee, tea and cola consumption (including consumption of decaffeinated drinks) were available at multiple time points. Both genotypes were individually associated with total caffeine consumption, and with coffee and tea consumption. There was no association with cola consumption, possibly due to low levels of consumption in this sample. There was also no association with measures of decaffeinated drink consumption, indicating that the observed association is most likely mediated via caffeine. The association was strengthened when a combined allelic score was used, accounting for up to 1.28% of phenotypic variance. This was not associated with potential confounders of observational association. A combined allelic score accounts for sufficient phenotypic variance in caffeine consumption that this may be useful in Mendelian randomization studies. Future studies may therefore be able to use this combined allelic score to explore causal effects of habitual caffeine consumption on health outcomes.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0103448</identifier><identifier>PMID: 25075865</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Alcohol ; Alcohol use ; Alzheimer's disease ; Alzheimers disease ; Aromatic compounds ; Associations ; Basic Helix-Loop-Helix Transcription Factors - genetics ; Beverages ; Body mass index ; Caffeine ; Caffeine - metabolism ; Cancer ; Children ; Coffee ; Coffee (Beverage) ; Consumption ; Correlation analysis ; Councils ; CYP1A2 protein ; Cytochrome ; Cytochrome P-450 ; Cytochrome P-450 CYP1A1 - genetics ; Cytochrome P450 ; Data dictionaries ; Drinking Behavior ; Epidemiology ; Ethics ; Experimental psychology ; Female ; Genes ; Genetic aspects ; Genetic Variation ; Genotype ; Genotypes ; Health risk assessment ; Humans ; Hypertension ; Life Style ; Longitudinal Studies ; Medical research ; Medicine and Health Sciences ; Parents ; Phenotype ; Phenotypes ; Polymorphism, Single Nucleotide ; Pregnancy ; Prostate ; Receptors, Aryl Hydrocarbon - genetics ; Self Report ; Smoking ; Studies ; Surveys and Questionnaires ; Tea</subject><ispartof>PloS one, 2014-07, Vol.9 (7), p.e103448-e103448</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 McMahon et al. 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We sought to establish whether a more refined and comprehensive assessment of caffeine consumption would provide stronger evidence of association, and whether a combined allelic score comprising these two variants would further strengthen the association. We used data from between 4,460 and 7,520 women in the Avon Longitudinal Study of Parents and Children, a longitudinal birth cohort based in the United Kingdom. Self-report data on coffee, tea and cola consumption (including consumption of decaffeinated drinks) were available at multiple time points. Both genotypes were individually associated with total caffeine consumption, and with coffee and tea consumption. There was no association with cola consumption, possibly due to low levels of consumption in this sample. There was also no association with measures of decaffeinated drink consumption, indicating that the observed association is most likely mediated via caffeine. The association was strengthened when a combined allelic score was used, accounting for up to 1.28% of phenotypic variance. This was not associated with potential confounders of observational association. A combined allelic score accounts for sufficient phenotypic variance in caffeine consumption that this may be useful in Mendelian randomization studies. Future studies may therefore be able to use this combined allelic score to explore causal effects of habitual caffeine consumption on health outcomes.</description><subject>Adult</subject><subject>Alcohol</subject><subject>Alcohol use</subject><subject>Alzheimer's disease</subject><subject>Alzheimers disease</subject><subject>Aromatic compounds</subject><subject>Associations</subject><subject>Basic Helix-Loop-Helix Transcription Factors - genetics</subject><subject>Beverages</subject><subject>Body mass index</subject><subject>Caffeine</subject><subject>Caffeine - metabolism</subject><subject>Cancer</subject><subject>Children</subject><subject>Coffee</subject><subject>Coffee (Beverage)</subject><subject>Consumption</subject><subject>Correlation analysis</subject><subject>Councils</subject><subject>CYP1A2 protein</subject><subject>Cytochrome</subject><subject>Cytochrome P-450</subject><subject>Cytochrome P-450 CYP1A1 - genetics</subject><subject>Cytochrome P450</subject><subject>Data dictionaries</subject><subject>Drinking Behavior</subject><subject>Epidemiology</subject><subject>Ethics</subject><subject>Experimental psychology</subject><subject>Female</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genetic Variation</subject><subject>Genotype</subject><subject>Genotypes</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Life Style</subject><subject>Longitudinal Studies</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Parents</subject><subject>Phenotype</subject><subject>Phenotypes</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Pregnancy</subject><subject>Prostate</subject><subject>Receptors, Aryl Hydrocarbon - genetics</subject><subject>Self Report</subject><subject>Smoking</subject><subject>Studies</subject><subject>Surveys and Questionnaires</subject><subject>Tea</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QDgujFjEmTtumNMAzqDizssn6AVyFNTjpd2mRsUnX_vanTWaayF1JIQ87zvklOzkmS5wQvCS3Iuxs39Fa2y52zsMQEU8b4g-SUlDRd5CmmD4_mJ8kT728wzijP88fJSZrhIuN5dprA1RasC7c7QD2YxkIHNiAferB1iCGP4oik9041MjTOImfQ6vwaSavR-vsVWRFUHxx-NWGLlDQGohFSzvqh242ip8kjI1sPz6b_WfL144cv6_PFxeWnzXp1sVB5mYYFkynQytBKg9QlKXQGRnKTkVKlTFVMc6N4qYErojHDmGuac5lxXmDDFQd6lrzc--5a58WUIS9IxsoyZTkuI7HZE9rJG7Hrm072t8LJRvxdcH0tZB8a1YKoqCasZJWsaMZ4XlQFVhXWqozJMzEYvd5Puw1VB1rFzPWynZnOI7bZitr9FIyQPCUkGryZDHr3YwAfRNd4BW0rLbhhPHdGcJoVPI3oq3_Q-283UbWMF2iscXFfNZqKFSMFYZxRHKnlPVT8NHRNfLVYB3F9Jng7E0QmwO9Qy8F7sfl8_f_s5bc5-_qI3YJsw9a7dhhLxs9BtgdV77yPhXqXZILF2A2HbIixG8TUDVH24viB7kSH8qd_AOivBZs</recordid><startdate>20140730</startdate><enddate>20140730</enddate><creator>McMahon, George</creator><creator>Taylor, Amy E</creator><creator>Davey Smith, George</creator><creator>Munafò, Marcus R</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>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140730</creationdate><title>Phenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumption</title><author>McMahon, George ; Taylor, Amy E ; Davey Smith, George ; Munafò, Marcus R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-4a2e3bf3bdead917d5efa8f519c24cb4d8fc89de8c1d04008d368a58870f8c8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Alcohol</topic><topic>Alcohol use</topic><topic>Alzheimer's disease</topic><topic>Alzheimers disease</topic><topic>Aromatic compounds</topic><topic>Associations</topic><topic>Basic Helix-Loop-Helix Transcription Factors - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McMahon, George</au><au>Taylor, Amy E</au><au>Davey Smith, George</au><au>Munafò, Marcus R</au><au>Nebert, Dan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Phenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumption</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-07-30</date><risdate>2014</risdate><volume>9</volume><issue>7</issue><spage>e103448</spage><epage>e103448</epage><pages>e103448-e103448</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Two genetic loci, one in the cytochrome P450 1A1 (CYP1A1) and 1A2 (CYP1A2) gene region (rs2472297) and one near the aryl-hydrocarbon receptor (AHR) gene (rs6968865), have been associated with habitual caffeine consumption. We sought to establish whether a more refined and comprehensive assessment of caffeine consumption would provide stronger evidence of association, and whether a combined allelic score comprising these two variants would further strengthen the association. We used data from between 4,460 and 7,520 women in the Avon Longitudinal Study of Parents and Children, a longitudinal birth cohort based in the United Kingdom. Self-report data on coffee, tea and cola consumption (including consumption of decaffeinated drinks) were available at multiple time points. Both genotypes were individually associated with total caffeine consumption, and with coffee and tea consumption. There was no association with cola consumption, possibly due to low levels of consumption in this sample. There was also no association with measures of decaffeinated drink consumption, indicating that the observed association is most likely mediated via caffeine. The association was strengthened when a combined allelic score was used, accounting for up to 1.28% of phenotypic variance. This was not associated with potential confounders of observational association. A combined allelic score accounts for sufficient phenotypic variance in caffeine consumption that this may be useful in Mendelian randomization studies. Future studies may therefore be able to use this combined allelic score to explore causal effects of habitual caffeine consumption on health outcomes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25075865</pmid><doi>10.1371/journal.pone.0103448</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Alcohol Alcohol use Alzheimer's disease Alzheimers disease Aromatic compounds Associations Basic Helix-Loop-Helix Transcription Factors - genetics Beverages Body mass index Caffeine Caffeine - metabolism Cancer Children Coffee Coffee (Beverage) Consumption Correlation analysis Councils CYP1A2 protein Cytochrome Cytochrome P-450 Cytochrome P-450 CYP1A1 - genetics Cytochrome P450 Data dictionaries Drinking Behavior Epidemiology Ethics Experimental psychology Female Genes Genetic aspects Genetic Variation Genotype Genotypes Health risk assessment Humans Hypertension Life Style Longitudinal Studies Medical research Medicine and Health Sciences Parents Phenotype Phenotypes Polymorphism, Single Nucleotide Pregnancy Prostate Receptors, Aryl Hydrocarbon - genetics Self Report Smoking Studies Surveys and Questionnaires Tea |
title | Phenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumption |
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