Endocrine System Diseases - Exposure Details | CTD
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Disease Endocrine System Diseases

These are exposure details associated with the disease and all of its children.



1–50 of 1,536 results.
  Reference Exposure Stressor Number of Receptors Receptors Receptor Notes Medium Exposure Marker Marker Level Measurement Statistic Assay Notes Country Outcome Relationship Disease Phenotype
1. Main KM, et al. (2007). 2,2',4,4'-tetrabromodiphenyl ether 130 Infants or newborns Exposed to polybrominated diphenyl ethers in breast milk milk, human 2,2',4,4'-tetrabromodiphenyl ether Denmark positive correlation Cryptorchidism
2. Main KM, et al. (2007). 2,2',4,4'-tetrabromodiphenyl ether 130 Infants or newborns Exposed to polybrominated diphenyl ethers in breast milk milk, human 2,2',4,4'-tetrabromodiphenyl ether Finland positive correlation Cryptorchidism
3. Turyk M, et al. (2009). 2,3',4,4',5-pentachlorobiphenyl 11 Subjects with disease:Diabetes Mellitus sport fish consumers serum 2,3',4,4',5-pentachlorobiphenyl 0.2 nanograms per gram geometric mean wet weight United States
4. Turyk M, et al. (2009). 2,3',4,4',5-pentachlorobiphenyl 36 Subjects with disease:Diabetes Mellitus sport fish consumers serum 2,3',4,4',5-pentachlorobiphenyl 0.26 nanograms per gram geometric mean wet weight United States
5. Turyk M, et al. (2009). 2,3',4,4',5-pentachlorobiphenyl 181 Controls for disease:Diabetes Mellitus sport fish consumers serum 2,3',4,4',5-pentachlorobiphenyl 0.13 nanograms per gram geometric mean wet weight United States
6. Turyk M, et al. (2009). 2,3',4,4',5-pentachlorobiphenyl 435 Controls for disease:Diabetes Mellitus sport fish consumers serum 2,3',4,4',5-pentachlorobiphenyl 0.15 nanograms per gram geometric mean wet weight United States
7. Turyk M, et al. (2009). 2,3',4,4',5-pentachlorobiphenyl 25 Subjects with disease:Diabetes Mellitus sport fish consumers serum 2,3',4,4',5-pentachlorobiphenyl 0.29 nanograms per gram geometric mean wet weight United States
8. Turyk M, et al. (2009). 2,3',4,4',5-pentachlorobiphenyl 254 Controls for disease:Diabetes Mellitus sport fish consumers serum 2,3',4,4',5-pentachlorobiphenyl 0.18 nanograms per gram geometric mean wet weight United States
9. Philibert A, et al. (2009). 2,4,4',5-tetrachlorobiphenyl 101 Study subjects serum 2,4,4',5-tetrachlorobiphenyl wet weight value Canada positive correlation Diabetes Mellitus
10. Philibert A, et al. (2009). 2,4,4',5-tetrachlorobiphenyl 101 Study subjects serum 2,4,4',5-tetrachlorobiphenyl lipid-standardized values Canada positive correlation Diabetes Mellitus
11. Rignell-Hydbom A, et al. (2010). 2,4,5,2',4',5'-hexachlorobiphenyl 300 Children 2,4,5,2',4',5'-hexachlorobiphenyl Sweden no correlation Diabetes Mellitus, Type 1
12. Philibert A, et al. (2009). 2,4,5,2',4',5'-hexachlorobiphenyl 101 Study subjects serum 2,4,5,2',4',5'-hexachlorobiphenyl wet weight value Canada positive correlation Diabetes Mellitus
13. Philibert A, et al. (2009). 2,4,5,2',4',5'-hexachlorobiphenyl 101 Study subjects serum 2,4,5,2',4',5'-hexachlorobiphenyl lipid-standardized values Canada positive correlation Diabetes Mellitus
14. Goldner WS, et al. (2010). 2,4,5-Trichlorophenoxyacetic Acid 16,529 Study subjects Spouses of Pesticide Applicators United States no correlation Hypothyroidism
15. Goldner WS, et al. (2013). 2,4,5-Trichlorophenoxyacetic Acid 22,246 Workers Pesticide applicators United States positive correlation Hypothyroidism
16. Saldana TM, et al. (2007). 2,4,5-Trichlorophenoxyacetic Acid 11,273 Mothers Spouses of Pesticide Applicators United States positive correlation Diabetes, Gestational
17. Goldner WS, et al. (2010). 2,4,5-Trichlorophenoxyacetic Acid 16,529 Study subjects Spouses of Pesticide Applicators United States no correlation Hyperthyroidism
18. Starling AP, et al. (2014). 2,4,5-Trichlorophenoxyacetic Acid 13,637 Study subjects Farmers' wives United States positive correlation Diabetes Mellitus
19. Goldner WS, et al. (2010). 2,4-Dichlorophenoxyacetic Acid 16,529 Study subjects Spouses of Pesticide Applicators United States no correlation Hypothyroidism
20. Goldner WS, et al. (2013). 2,4-Dichlorophenoxyacetic Acid 22,246 Workers Pesticide applicators United States positive correlation Hypothyroidism
21. Schreinemachers DM. (2010). 2,4-Dichlorophenoxyacetic Acid 727 Study subjects urine 2,4-Dichlorophenoxyacetic Acid United States prediction/hypothesis Diabetes Mellitus, Type 2
22. Goldner WS, et al. (2010). 2,4-Dichlorophenoxyacetic Acid 16,529 Study subjects Spouses of Pesticide Applicators United States no correlation Hyperthyroidism
23. Lerro CC, et al. (2015). acetochlor 33,484 Workers pesticide applicators United States prediction/hypothesis Pancreatic Neoplasms
24. Fujiyoshi PT, et al. (2006). Agent Orange 313 Veterans Vietnam veterans (Operation Ranch Hand) adipose tissue SLC2A4 SLC2A4 to NFKB1 mRNA ratio United States positive correlation Diabetes Mellitus, Type 2
25. Kim JS, et al. (2003). Agent Orange 1,224 Veterans Korean Vietnam veterans Vietnam positive correlation Diabetes Mellitus
26. Fujiyoshi PT, et al. (2006). Agent Orange 313 Veterans Vietnam veterans (Operation Ranch Hand) adipose tissue NFKB1 SLC2A4 to NFKB1 mRNA ratio United States positive correlation Diabetes Mellitus, Type 2
27. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 13.08 micrograms per cubic meter 75th percentile 1-day moving average United States
28. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 8.94 micrograms per cubic meter 25th percentile 28-day moving average United States
29. Hansen AB, et al. (2016). Air Pollutants 24,174 Study subjects nurses (entire cohort) air, ambient Particulate Matter 18.1 micrograms per cubic meter mean PM2.5, estimated annnual at baseline address Denmark positive correlation Diabetes Mellitus
30. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 12.03 micrograms per cubic meter 75th percentile 28-day moving average United States
31. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 13.89 micrograms per cubic meter 90th percentile 28-day moving average United States
32. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 10.06 micrograms per cubic meter 50th percentile 7-day moving average United States
33. Eze IC, et al. (2016). Air Pollutants 70 Subjects with disease:Diabetes Mellitus, Type 2 air, ambient Particulate Matter 23.1 micrograms per cubic meter mean 10-year mean residential exposure to particulate matter PM10 Switzerland
34. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 10.92 micrograms per cubic meter mean 1-day moving average United States
35. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 10.71 micrograms per cubic meter mean 28-day moving average United States
36. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 6.75 micrograms per cubic meter 10th percentile 7-day moving average United States
37. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 8.09 micrograms per cubic meter 25th percentile 7-day moving average United States
38. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 10.59 micrograms per cubic meter mean 7-day moving average United States
39. Eze IC, et al. (2016). Air Pollutants 1,577 Subjects with gene influence:VPS26A air, ambient Particulate Matter Switzerland positive correlation Diabetes Mellitus, Type 2
40. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 7.57 micrograms per cubic meter 10th percentile 28-day moving average United States
41. Eze IC, et al. (2016). Air Pollutants 1,577 Subjects with gene influence:UBE2E2 air, ambient Particulate Matter Switzerland positive correlation Diabetes Mellitus, Type 2
42. Hansen AB, et al. (2016). Air Pollutants 1,137 Subjects with disease:Diabetes Mellitus nurses (subjects with diabetes) air, ambient Nitrogen Dioxide 13.4 micrograms per cubic meter mean estimated annnual at baseline address Denmark
43. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 7.37 micrograms per cubic meter 25th percentile 1-day moving average United States
44. Peng C, et al. (2016). Air Pollutants 551 Controls for disease:Diabetes Mellitus nondiabetics air, ambient Particulate Matter 5.86 micrograms per cubic meter 10th percentile 1-day moving average United States
45. Eze IC, et al. (2016). Air Pollutants 1,454 Controls for disease:Diabetes Mellitus, Type 2 air, ambient Particulate Matter 22 micrograms per cubic meter mean 10-year mean residential exposure to particulate matter PM10 Switzerland
46. Eze IC, et al. (2016). Air Pollutants 1,577 Subjects with gene influence:KCNQ1 air, ambient Particulate Matter Switzerland positive correlation Diabetes Mellitus, Type 2
47. Eze IC, et al. (2016). Air Pollutants 1,577 Subjects with gene influence:PTPRD air, ambient Particulate Matter Switzerland positive correlation Diabetes Mellitus, Type 2
48. Hansen AB, et al. (2016). Air Pollutants 1,137 Subjects with disease:Diabetes Mellitus nurses (subjects with diabetes) air, ambient Particulate Matter 22.3 micrograms per cubic meter mean PM10, estimated annnual at baseline address Denmark
49. Hansen AB, et al. (2016). Air Pollutants 221 Subjects with disease:Obesity nurses (diabetic subjects with obesity) air, ambient Particulate Matter Denmark prediction/hypothesis Diabetes Mellitus
50. Hansen AB, et al. (2016). Air Pollutants 358 Subjects with disease:Diabetes Mellitus nurses (diabetic subjects who are never-smokers) air, ambient Particulate Matter Denmark positive correlation Diabetes Mellitus
1–50 of 1,536 results.