publication . Article . Other literature type . 2010

An Environment-Wide Association Study (EWAS) on Type 2 Diabetes Mellitus

Atul J. Butte; Atul J. Butte; Chirag J. Patel; Chirag J. Patel; Jayanta Bhattacharya;
Open Access
  • Published: 20 May 2010 Journal: PLoS ONE, volume 5, page e10746 (eissn: 1932-6203, Copyright policy)
  • Publisher: Public Library of Science (PLoS)
  • Country: United States
Abstract
Background 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). Methods and Findings We performed multiple cross-sectional analyses associating 266 unique environmental factors with clinical status for T2D defined by fasting blood sugar (FBG) concentration ≥126 mg/dL. We ut...
Subjects
free text keywords: Humans, Type 2, Polychlorinated Biphenyls, Carotenoids, gamma-Tocopherol, Pesticides, Health Surveys, Cohort Studies, Reproducibility of Results, Genetics, Population, Environment, General Science & Technology, Research Article, Genetics and Genomics/Bioinformatics, Diabetes and Endocrinology/Type 2 Diabetes, Public Health and Epidemiology/Environmental Health, R, Science, Q, Epidemiology, medicine.medical_specialty, medicine, Disease, Biotechnology, business.industry, business, Exposome, Type 2 Diabetes Mellitus, Cohort study, Environmental health, Diabetes mellitus, medicine.disease, Type 2 diabetes, Genome-wide association study
Funded by
NIH| Enabling new discoveries in pharmacogenomics through a genomic date-driven nosolo
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM079719-04
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
NIH| Health Insurance Provision for Vulnerable Populations
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5K02AG024237-05
  • Funding stream: NATIONAL INSTITUTE ON AGING
,
NIH| Integrating Microarray and Proteomic Data by Ontology-based Annotation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01LM009719-04
  • Funding stream: NATIONAL LIBRARY OF MEDICINE
,
NIH| POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCES
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5T15LM007033-02
  • Funding stream: NATIONAL LIBRARY OF MEDICINE
59 references, page 1 of 4

Schwartz, D, Collins, F. Medicine. Environmental biology and human disease.. Science. 2007; 316: 695-696 [PubMed]

Hirschhorn, JN, Daly, MJ. Genome-wide association studies for common diseases and complex traits.. Nat Rev Genet. 2005; 6: 95-108 [PubMed]

Hindorff, L, Junkins, H, Mehta, J, Manolio, T. A Catalog of Published Genome-Wide Association Studies.. 2009

Manolio, TA, Brooks, LD, Collins, FS. A HapMap harvest of insights into the genetics of common disease.. J Clin Invest. 2008; 118: 1590-1605 [OpenAIRE] [PubMed]

Goldstein, DB. Common genetic variation and human traits.. N Engl J Med. 2009; 360: 1696-1698 [PubMed]

Kraft, P, Hunter, DJ. Genetic risk prediction–are we there yet?. N Engl J Med. 2009; 360: 1701-1703 [PubMed]

Lyssenko, V, Jonsson, A, Almgren, P, Pulizzi, N, Isomaa, B. Clinical risk factors, DNA variants, and the development of type 2 diabetes.. N Engl J Med. 2008; 359: 2220-2232 [PubMed]

Meigs, JB, Shrader, P, Sullivan, LM, McAteer, JB, Fox, CS. Genotype score in addition to common risk factors for prediction of type 2 diabetes.. N Engl J Med. 2008; 359: 2208-2219 [OpenAIRE] [PubMed]

Klein, BE, Klein, R, Moss, SE, Cruickshanks, KJ. Parental history of diabetes in a population-based study.. Diabetes Care. 1996; 19: 827-830 [PubMed]

Eriksson, J, Franssila-Kallunki, A, Ekstrand, A, Saloranta, C, Widen, E. Early metabolic defects in persons at increased risk for non-insulin-dependent diabetes mellitus.. N Engl J Med. 1989; 321: 337-343 [OpenAIRE] [PubMed]

Schulz, LO, Bennett, PH, Ravussin, E, Kidd, JR, Kidd, KK. Effects of traditional and western environments on prevalence of type 2 diabetes in Pima Indians in Mexico and the U.S.. Diabetes Care. 2006; 29: 1866-1871 [PubMed]

Carpenter, DO. Environmental contaminants as risk factors for developing diabetes.. Rev Environ Health. 2008; 23: 59-74 [PubMed]

Judson, RS, Houck, KA, Kavlock, RJ, Knudsen, TB, Martin, MT. In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization – The ToxCast Project.. Environ Health Perspect. 2009

Gong, KW, Zhao, W, Li, N, Barajas, B, Kleinman, M. Air-pollutant chemicals and oxidized lipids exhibit genome-wide synergistic effects on endothelial cells.. Genome Biol. 2007; 8: R149 [OpenAIRE] [PubMed]

National Health and Nutrition Examination Survey.. 2009

59 references, page 1 of 4
Abstract
Background 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). Methods and Findings We performed multiple cross-sectional analyses associating 266 unique environmental factors with clinical status for T2D defined by fasting blood sugar (FBG) concentration ≥126 mg/dL. We ut...
Subjects
free text keywords: Humans, Type 2, Polychlorinated Biphenyls, Carotenoids, gamma-Tocopherol, Pesticides, Health Surveys, Cohort Studies, Reproducibility of Results, Genetics, Population, Environment, General Science & Technology, Research Article, Genetics and Genomics/Bioinformatics, Diabetes and Endocrinology/Type 2 Diabetes, Public Health and Epidemiology/Environmental Health, R, Science, Q, Epidemiology, medicine.medical_specialty, medicine, Disease, Biotechnology, business.industry, business, Exposome, Type 2 Diabetes Mellitus, Cohort study, Environmental health, Diabetes mellitus, medicine.disease, Type 2 diabetes, Genome-wide association study
Funded by
NIH| Enabling new discoveries in pharmacogenomics through a genomic date-driven nosolo
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01GM079719-04
  • Funding stream: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
,
NIH| Health Insurance Provision for Vulnerable Populations
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5K02AG024237-05
  • Funding stream: NATIONAL INSTITUTE ON AGING
,
NIH| Integrating Microarray and Proteomic Data by Ontology-based Annotation
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5R01LM009719-04
  • Funding stream: NATIONAL LIBRARY OF MEDICINE
,
NIH| POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCES
Project
  • Funder: National Institutes of Health (NIH)
  • Project Code: 5T15LM007033-02
  • Funding stream: NATIONAL LIBRARY OF MEDICINE
59 references, page 1 of 4

Schwartz, D, Collins, F. Medicine. Environmental biology and human disease.. Science. 2007; 316: 695-696 [PubMed]

Hirschhorn, JN, Daly, MJ. Genome-wide association studies for common diseases and complex traits.. Nat Rev Genet. 2005; 6: 95-108 [PubMed]

Hindorff, L, Junkins, H, Mehta, J, Manolio, T. A Catalog of Published Genome-Wide Association Studies.. 2009

Manolio, TA, Brooks, LD, Collins, FS. A HapMap harvest of insights into the genetics of common disease.. J Clin Invest. 2008; 118: 1590-1605 [OpenAIRE] [PubMed]

Goldstein, DB. Common genetic variation and human traits.. N Engl J Med. 2009; 360: 1696-1698 [PubMed]

Kraft, P, Hunter, DJ. Genetic risk prediction–are we there yet?. N Engl J Med. 2009; 360: 1701-1703 [PubMed]

Lyssenko, V, Jonsson, A, Almgren, P, Pulizzi, N, Isomaa, B. Clinical risk factors, DNA variants, and the development of type 2 diabetes.. N Engl J Med. 2008; 359: 2220-2232 [PubMed]

Meigs, JB, Shrader, P, Sullivan, LM, McAteer, JB, Fox, CS. Genotype score in addition to common risk factors for prediction of type 2 diabetes.. N Engl J Med. 2008; 359: 2208-2219 [OpenAIRE] [PubMed]

Klein, BE, Klein, R, Moss, SE, Cruickshanks, KJ. Parental history of diabetes in a population-based study.. Diabetes Care. 1996; 19: 827-830 [PubMed]

Eriksson, J, Franssila-Kallunki, A, Ekstrand, A, Saloranta, C, Widen, E. Early metabolic defects in persons at increased risk for non-insulin-dependent diabetes mellitus.. N Engl J Med. 1989; 321: 337-343 [OpenAIRE] [PubMed]

Schulz, LO, Bennett, PH, Ravussin, E, Kidd, JR, Kidd, KK. Effects of traditional and western environments on prevalence of type 2 diabetes in Pima Indians in Mexico and the U.S.. Diabetes Care. 2006; 29: 1866-1871 [PubMed]

Carpenter, DO. Environmental contaminants as risk factors for developing diabetes.. Rev Environ Health. 2008; 23: 59-74 [PubMed]

Judson, RS, Houck, KA, Kavlock, RJ, Knudsen, TB, Martin, MT. In Vitro Screening of Environmental Chemicals for Targeted Testing Prioritization – The ToxCast Project.. Environ Health Perspect. 2009

Gong, KW, Zhao, W, Li, N, Barajas, B, Kleinman, M. Air-pollutant chemicals and oxidized lipids exhibit genome-wide synergistic effects on endothelial cells.. Genome Biol. 2007; 8: R149 [OpenAIRE] [PubMed]

National Health and Nutrition Examination Survey.. 2009

59 references, page 1 of 4
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