Loading…
An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus
Type 2 Diabetes (T2D) and other chronic diseases are caused by a complex combination of many genetic and environmental factors. Few methods are available to comprehensively associate specific physical environmental factors with disease. We conducted a pilot Environmental-Wide Association Study (EWAS...
Saved in:
| Published in: | PloS one 2010-05, Vol.5 (5), p.e10746 |
|---|---|
| Main Authors: | , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c592t-277626a0a719f6f5e3c328958cdd697ed1d7bce125ebafc07e957fa6c0d850f83 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c592t-277626a0a719f6f5e3c328958cdd697ed1d7bce125ebafc07e957fa6c0d850f83 |
| container_end_page | |
| container_issue | 5 |
| container_start_page | e10746 |
| container_title | PloS one |
| container_volume | 5 |
| creator | Patel, Chirag J Bhattacharya, Jayanta Butte, Atul J |
| description | Type 2 Diabetes (T2D) and other chronic diseases are caused by a complex combination of many genetic and environmental factors. Few methods are available to comprehensively associate specific physical environmental factors with disease. We conducted a pilot Environmental-Wide Association Study (EWAS), in which epidemiological data are comprehensively and systematically interpreted in a manner analogous to a Genome Wide Association Study (GWAS).
We performed multiple cross-sectional analyses associating 266 unique environmental factors with clinical status for T2D defined by fasting blood sugar (FBG) concentration > or =126 mg/dL. We utilized available Centers for Disease Control (CDC) National Health and Nutrition Examination Survey (NHANES) cohorts from years 1999 to 2006. Within cohort sample numbers ranged from 503 to 3,318. Logistic regression models were adjusted for age, sex, body mass index (BMI), ethnicity, and an estimate of socioeconomic status (SES). As in GWAS, multiple comparisons were controlled and significant findings were validated with other cohorts. We discovered significant associations for the pesticide-derivative heptachlor epoxide (adjusted OR in three combined cohorts of 1.7 for a 1 SD change in exposure amount; p |
| doi_str_mv | 10.1371/journal.pone.0010746 |
| format | article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1292615842</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A473895797</galeid><doaj_id>oai_doaj_org_article_523d23b1a7f944cfbb120b1ed048ff55</doaj_id><sourcerecordid>A473895797</sourcerecordid><originalsourceid>FETCH-LOGICAL-c592t-277626a0a719f6f5e3c328958cdd697ed1d7bce125ebafc07e957fa6c0d850f83</originalsourceid><addsrcrecordid>eNp1Uk1v1DAUjBCIlsI_QBCJCxyy-CO24wtSVC20UiUOBfVoOfbz4lUSL3ZSaf89XjatuhLIB_s9z4zHT1MUbzFaYSrw522Y46j71S6MsEIII1HzZ8U5lpRUnCD6_Mn5rHiV0hYhRhvOXxZnBDHEBOfnxVU7luvx3scwDjBO1Z23ULYpBeP15MNY3k6z3Zcf13ft7acy19N-ByUprdcdTJDKAfreT3N6Xbxwuk_wZtkvip9f1z8ur6qb79-uL9ubyjBJpooIwQnXSAssHXcMqKGkkawx1nIpwGIrOgOYMOi0M0iAZMJpbpBtGHINvSjeH3V3fUhqGUJSmEjCMWtqkhHXR4QNeqt20Q867lXQXv1thLhROk7e9KAYoZbQDmvhZF0b13WYoA6DRXXjHGNZ68vy2twNYE0eUdT9iejpzeh_qU24V6QRVIqD3Q-LQAy_Z0jTfywvqI3OrvzoQhYzg09GtbWgeT5Cioxa_QOVl4XBmxwD53P_hFAfCSaGlCK4R-MYqUOIHsyoQ4jUEqJMe_f004-kh9TQPy-7w1Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1292615842</pqid></control><display><type>article</type><title>An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus</title><source>NCBI_PubMed Central（免费）</source><source>Publicly Available Content Database</source><creator>Patel, Chirag J ; Bhattacharya, Jayanta ; Butte, Atul J</creator><contributor>Zhang, Baohong</contributor><creatorcontrib>Patel, Chirag J ; Bhattacharya, Jayanta ; Butte, Atul J ; Zhang, Baohong</creatorcontrib><description>Type 2 Diabetes (T2D) and other chronic diseases are caused by a complex combination of many genetic and environmental factors. Few methods are available to comprehensively associate specific physical environmental factors with disease. We conducted a pilot Environmental-Wide Association Study (EWAS), in which epidemiological data are comprehensively and systematically interpreted in a manner analogous to a Genome Wide Association Study (GWAS).
We performed multiple cross-sectional analyses associating 266 unique environmental factors with clinical status for T2D defined by fasting blood sugar (FBG) concentration > or =126 mg/dL. We utilized available Centers for Disease Control (CDC) National Health and Nutrition Examination Survey (NHANES) cohorts from years 1999 to 2006. Within cohort sample numbers ranged from 503 to 3,318. Logistic regression models were adjusted for age, sex, body mass index (BMI), ethnicity, and an estimate of socioeconomic status (SES). As in GWAS, multiple comparisons were controlled and significant findings were validated with other cohorts. We discovered significant associations for the pesticide-derivative heptachlor epoxide (adjusted OR in three combined cohorts of 1.7 for a 1 SD change in exposure amount; p<0.001), and the vitamin gamma-tocopherol (adjusted OR 1.5; p<0.001). Higher concentrations of polychlorinated biphenyls (PCBs) such as PCB170 (adjusted OR 2.2; p<0.001) were also found. Protective factors associated with T2D included beta-carotenes (adjusted OR 0.6; p<0.001).
Despite difficulty in ascertaining causality, the potential for novel factors of large effect associated with T2D justify the use of EWAS to create hypotheses regarding the broad contribution of the environment to disease. Even in this study based on prior collected epidemiological measures, environmental factors can be found with effect sizes comparable to the best loci yet found by GWAS.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0010746</identifier><identifier>PMID: 20505766</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Blood glucose ; Blood levels ; Body mass ; Body mass index ; Body size ; Carotenoids ; Carotenoids - blood ; Chlorinated solvents ; Chronic diseases ; Chronic illnesses ; Cohort Studies ; Consortia ; Diabetes ; Diabetes and Endocrinology/Type 2 Diabetes ; Diabetes mellitus ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - blood ; Disease control ; Environment ; Environmental factors ; Environmental health ; Epidemiology ; gamma-Tocopherol - blood ; Genetics ; Genetics and Genomics/Bioinformatics ; Genetics, Population ; Genome-wide association studies ; Genomes ; Genomics ; Health Surveys ; Heptachlor ; Heptachlor epoxide ; Humans ; Hypotheses ; Informatics ; Medical laboratories ; Medical research ; Medicine ; Minority & ethnic groups ; Nutrition ; Obesity ; PCB ; PCB compounds ; Pediatrics ; Pesticides ; Pesticides - blood ; Pollutants ; Polychlorinated biphenyls ; Polychlorinated Biphenyls - blood ; Public Health and Epidemiology/Environmental Health ; Regression analysis ; Regression models ; Reproducibility of Results ; Socioeconomics ; Studies ; Sugar ; Tocopherol ; Tocopherols ; Type 2 diabetes ; Working groups</subject><ispartof>PloS one, 2010-05, Vol.5 (5), p.e10746</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010 Patel et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Patel et al. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c592t-277626a0a719f6f5e3c328958cdd697ed1d7bce125ebafc07e957fa6c0d850f83</citedby><cites>FETCH-LOGICAL-c592t-277626a0a719f6f5e3c328958cdd697ed1d7bce125ebafc07e957fa6c0d850f83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1292615842/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1292615842?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20505766$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zhang, Baohong</contributor><creatorcontrib>Patel, Chirag J</creatorcontrib><creatorcontrib>Bhattacharya, Jayanta</creatorcontrib><creatorcontrib>Butte, Atul J</creatorcontrib><title>An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Type 2 Diabetes (T2D) and other chronic diseases are caused by a complex combination of many genetic and environmental factors. Few methods are available to comprehensively associate specific physical environmental factors with disease. We conducted a pilot Environmental-Wide Association Study (EWAS), in which epidemiological data are comprehensively and systematically interpreted in a manner analogous to a Genome Wide Association Study (GWAS).
We performed multiple cross-sectional analyses associating 266 unique environmental factors with clinical status for T2D defined by fasting blood sugar (FBG) concentration > or =126 mg/dL. We utilized available Centers for Disease Control (CDC) National Health and Nutrition Examination Survey (NHANES) cohorts from years 1999 to 2006. Within cohort sample numbers ranged from 503 to 3,318. Logistic regression models were adjusted for age, sex, body mass index (BMI), ethnicity, and an estimate of socioeconomic status (SES). As in GWAS, multiple comparisons were controlled and significant findings were validated with other cohorts. We discovered significant associations for the pesticide-derivative heptachlor epoxide (adjusted OR in three combined cohorts of 1.7 for a 1 SD change in exposure amount; p<0.001), and the vitamin gamma-tocopherol (adjusted OR 1.5; p<0.001). Higher concentrations of polychlorinated biphenyls (PCBs) such as PCB170 (adjusted OR 2.2; p<0.001) were also found. Protective factors associated with T2D included beta-carotenes (adjusted OR 0.6; p<0.001).
Despite difficulty in ascertaining causality, the potential for novel factors of large effect associated with T2D justify the use of EWAS to create hypotheses regarding the broad contribution of the environment to disease. Even in this study based on prior collected epidemiological measures, environmental factors can be found with effect sizes comparable to the best loci yet found by GWAS.</description><subject>Analysis</subject><subject>Blood glucose</subject><subject>Blood levels</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Carotenoids</subject><subject>Carotenoids - blood</subject><subject>Chlorinated solvents</subject><subject>Chronic diseases</subject><subject>Chronic illnesses</subject><subject>Cohort Studies</subject><subject>Consortia</subject><subject>Diabetes</subject><subject>Diabetes and Endocrinology/Type 2 Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - blood</subject><subject>Disease control</subject><subject>Environment</subject><subject>Environmental factors</subject><subject>Environmental health</subject><subject>Epidemiology</subject><subject>gamma-Tocopherol - blood</subject><subject>Genetics</subject><subject>Genetics and Genomics/Bioinformatics</subject><subject>Genetics, Population</subject><subject>Genome-wide association studies</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Health Surveys</subject><subject>Heptachlor</subject><subject>Heptachlor epoxide</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Informatics</subject><subject>Medical laboratories</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Minority & ethnic groups</subject><subject>Nutrition</subject><subject>Obesity</subject><subject>PCB</subject><subject>PCB compounds</subject><subject>Pediatrics</subject><subject>Pesticides</subject><subject>Pesticides - blood</subject><subject>Pollutants</subject><subject>Polychlorinated biphenyls</subject><subject>Polychlorinated Biphenyls - blood</subject><subject>Public Health and Epidemiology/Environmental Health</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Reproducibility of Results</subject><subject>Socioeconomics</subject><subject>Studies</subject><subject>Sugar</subject><subject>Tocopherol</subject><subject>Tocopherols</subject><subject>Type 2 diabetes</subject><subject>Working groups</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp1Uk1v1DAUjBCIlsI_QBCJCxyy-CO24wtSVC20UiUOBfVoOfbz4lUSL3ZSaf89XjatuhLIB_s9z4zHT1MUbzFaYSrw522Y46j71S6MsEIII1HzZ8U5lpRUnCD6_Mn5rHiV0hYhRhvOXxZnBDHEBOfnxVU7luvx3scwDjBO1Z23ULYpBeP15MNY3k6z3Zcf13ft7acy19N-ByUprdcdTJDKAfreT3N6Xbxwuk_wZtkvip9f1z8ur6qb79-uL9ubyjBJpooIwQnXSAssHXcMqKGkkawx1nIpwGIrOgOYMOi0M0iAZMJpbpBtGHINvSjeH3V3fUhqGUJSmEjCMWtqkhHXR4QNeqt20Q867lXQXv1thLhROk7e9KAYoZbQDmvhZF0b13WYoA6DRXXjHGNZ68vy2twNYE0eUdT9iejpzeh_qU24V6QRVIqD3Q-LQAy_Z0jTfywvqI3OrvzoQhYzg09GtbWgeT5Cioxa_QOVl4XBmxwD53P_hFAfCSaGlCK4R-MYqUOIHsyoQ4jUEqJMe_f004-kh9TQPy-7w1Q</recordid><startdate>20100520</startdate><enddate>20100520</enddate><creator>Patel, Chirag J</creator><creator>Bhattacharya, Jayanta</creator><creator>Butte, Atul J</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>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>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>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20100520</creationdate><title>An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus</title><author>Patel, Chirag J ; Bhattacharya, Jayanta ; Butte, Atul J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c592t-277626a0a719f6f5e3c328958cdd697ed1d7bce125ebafc07e957fa6c0d850f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Analysis</topic><topic>Blood glucose</topic><topic>Blood levels</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Carotenoids</topic><topic>Carotenoids - blood</topic><topic>Chlorinated solvents</topic><topic>Chronic diseases</topic><topic>Chronic illnesses</topic><topic>Cohort Studies</topic><topic>Consortia</topic><topic>Diabetes</topic><topic>Diabetes and Endocrinology/Type 2 Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - blood</topic><topic>Disease control</topic><topic>Environment</topic><topic>Environmental factors</topic><topic>Environmental health</topic><topic>Epidemiology</topic><topic>gamma-Tocopherol - blood</topic><topic>Genetics</topic><topic>Genetics and Genomics/Bioinformatics</topic><topic>Genetics, Population</topic><topic>Genome-wide association studies</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Health Surveys</topic><topic>Heptachlor</topic><topic>Heptachlor epoxide</topic><topic>Humans</topic><topic>Hypotheses</topic><topic>Informatics</topic><topic>Medical laboratories</topic><topic>Medical research</topic><topic>Medicine</topic><topic>Minority & ethnic groups</topic><topic>Nutrition</topic><topic>Obesity</topic><topic>PCB</topic><topic>PCB compounds</topic><topic>Pediatrics</topic><topic>Pesticides</topic><topic>Pesticides - blood</topic><topic>Pollutants</topic><topic>Polychlorinated biphenyls</topic><topic>Polychlorinated Biphenyls - blood</topic><topic>Public Health and Epidemiology/Environmental Health</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Reproducibility of Results</topic><topic>Socioeconomics</topic><topic>Studies</topic><topic>Sugar</topic><topic>Tocopherol</topic><topic>Tocopherols</topic><topic>Type 2 diabetes</topic><topic>Working groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Patel, Chirag J</creatorcontrib><creatorcontrib>Bhattacharya, Jayanta</creatorcontrib><creatorcontrib>Butte, Atul J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Database (1962 - current)</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</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>Patel, Chirag J</au><au>Bhattacharya, Jayanta</au><au>Butte, Atul J</au><au>Zhang, Baohong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2010-05-20</date><risdate>2010</risdate><volume>5</volume><issue>5</issue><spage>e10746</spage><pages>e10746-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Type 2 Diabetes (T2D) and other chronic diseases are caused by a complex combination of many genetic and environmental factors. Few methods are available to comprehensively associate specific physical environmental factors with disease. We conducted a pilot Environmental-Wide Association Study (EWAS), in which epidemiological data are comprehensively and systematically interpreted in a manner analogous to a Genome Wide Association Study (GWAS).
We performed multiple cross-sectional analyses associating 266 unique environmental factors with clinical status for T2D defined by fasting blood sugar (FBG) concentration > or =126 mg/dL. We utilized available Centers for Disease Control (CDC) National Health and Nutrition Examination Survey (NHANES) cohorts from years 1999 to 2006. Within cohort sample numbers ranged from 503 to 3,318. Logistic regression models were adjusted for age, sex, body mass index (BMI), ethnicity, and an estimate of socioeconomic status (SES). As in GWAS, multiple comparisons were controlled and significant findings were validated with other cohorts. We discovered significant associations for the pesticide-derivative heptachlor epoxide (adjusted OR in three combined cohorts of 1.7 for a 1 SD change in exposure amount; p<0.001), and the vitamin gamma-tocopherol (adjusted OR 1.5; p<0.001). Higher concentrations of polychlorinated biphenyls (PCBs) such as PCB170 (adjusted OR 2.2; p<0.001) were also found. Protective factors associated with T2D included beta-carotenes (adjusted OR 0.6; p<0.001).
Despite difficulty in ascertaining causality, the potential for novel factors of large effect associated with T2D justify the use of EWAS to create hypotheses regarding the broad contribution of the environment to disease. Even in this study based on prior collected epidemiological measures, environmental factors can be found with effect sizes comparable to the best loci yet found by GWAS.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>20505766</pmid><doi>10.1371/journal.pone.0010746</doi><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2010-05, Vol.5 (5), p.e10746 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1292615842 |
| source | NCBI_PubMed Central（免费）; Publicly Available Content Database |
| subjects | Analysis Blood glucose Blood levels Body mass Body mass index Body size Carotenoids Carotenoids - blood Chlorinated solvents Chronic diseases Chronic illnesses Cohort Studies Consortia Diabetes Diabetes and Endocrinology/Type 2 Diabetes Diabetes mellitus Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - blood Disease control Environment Environmental factors Environmental health Epidemiology gamma-Tocopherol - blood Genetics Genetics and Genomics/Bioinformatics Genetics, Population Genome-wide association studies Genomes Genomics Health Surveys Heptachlor Heptachlor epoxide Humans Hypotheses Informatics Medical laboratories Medical research Medicine Minority & ethnic groups Nutrition Obesity PCB PCB compounds Pediatrics Pesticides Pesticides - blood Pollutants Polychlorinated biphenyls Polychlorinated Biphenyls - blood Public Health and Epidemiology/Environmental Health Regression analysis Regression models Reproducibility of Results Socioeconomics Studies Sugar Tocopherol Tocopherols Type 2 diabetes Working groups |
| title | An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T06%3A31%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20Environment-Wide%20Association%20Study%20(EWAS)%20on%20type%202%20diabetes%20mellitus&rft.jtitle=PloS%20one&rft.au=Patel,%20Chirag%20J&rft.date=2010-05-20&rft.volume=5&rft.issue=5&rft.spage=e10746&rft.pages=e10746-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0010746&rft_dat=%3Cgale_plos_%3EA473895797%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c592t-277626a0a719f6f5e3c328958cdd697ed1d7bce125ebafc07e957fa6c0d850f83%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1292615842&rft_id=info:pmid/20505766&rft_galeid=A473895797&rfr_iscdi=true |