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Childhood type 1 diabetes: an environment-wide association study across England
AIMS/HYPOTHESIS: Type 1 diabetes is an autoimmune disease affecting ~400,000 people across the UK. It is likely that environmental factors trigger the disease process in genetically susceptible individuals. We assessed the associations between a wide range of environmental factors and childhood type...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145790/ https://www.ncbi.nlm.nih.gov/pubmed/31980846 http://dx.doi.org/10.1007/s00125-020-05087-7 |
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author | Sheehan, Annalisa Freni Sterrantino, Anna Fecht, Daniela Elliott, Paul Hodgson, Susan |
author_facet | Sheehan, Annalisa Freni Sterrantino, Anna Fecht, Daniela Elliott, Paul Hodgson, Susan |
author_sort | Sheehan, Annalisa |
collection | PubMed |
description | AIMS/HYPOTHESIS: Type 1 diabetes is an autoimmune disease affecting ~400,000 people across the UK. It is likely that environmental factors trigger the disease process in genetically susceptible individuals. We assessed the associations between a wide range of environmental factors and childhood type 1 diabetes incidence in England, using an agnostic, ecological environment-wide association study (EnWAS) approach, to generate hypotheses about environmental triggers. METHODS: We undertook analyses at the local authority district (LAD) level using a national hospital episode statistics-based incident type 1 diabetes dataset comprising 13,948 individuals with diabetes aged 0–9 years over the period April 2000 to March 2011. We compiled LAD level estimates for a range of potential demographic and environmental risk factors including meteorological, land use and environmental pollution variables. The associations between type 1 diabetes incidence and risk factors were assessed via Poisson regression, disease mapping and ecological regression. RESULTS: Case counts by LAD varied from 1 to 236 (median 33, interquartile range 24–46). Overall type 1 diabetes incidence was 21.2 (95% CI 20.9, 21.6) per 100,000 individuals. The EnWAS and disease mapping indicated that 15 out of 53 demographic and environmental risk factors were significantly associated with diabetes incidence, after adjusting for multiple testing. These included air pollutants (particulate matter, nitrogen dioxide, nitrogen oxides, carbon monoxide; all inversely associated), as well as lead in soil, radon, outdoor light at night, overcrowding, population density and ethnicity. Disease mapping revealed spatial heterogeneity in type 1 diabetes risk. The ecological regression found an association between type 1 diabetes and the living environment domain of the Index of Multiple Deprivation (RR 0.995; 95% credible interval [CrI] 0.991, 0.998) and radon potential class (RR 1.044; 95% CrI 1.015, 1.074). CONCLUSIONS/INTERPRETATION: Our analysis identifies a range of demographic and environmental factors associated with type 1 diabetes in children in England. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-020-05087-7) contains peer-reviewed but unedited supplementary material, which is available to authorised users. |
format | Online Article Text |
id | pubmed-7145790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-71457902020-04-15 Childhood type 1 diabetes: an environment-wide association study across England Sheehan, Annalisa Freni Sterrantino, Anna Fecht, Daniela Elliott, Paul Hodgson, Susan Diabetologia Article AIMS/HYPOTHESIS: Type 1 diabetes is an autoimmune disease affecting ~400,000 people across the UK. It is likely that environmental factors trigger the disease process in genetically susceptible individuals. We assessed the associations between a wide range of environmental factors and childhood type 1 diabetes incidence in England, using an agnostic, ecological environment-wide association study (EnWAS) approach, to generate hypotheses about environmental triggers. METHODS: We undertook analyses at the local authority district (LAD) level using a national hospital episode statistics-based incident type 1 diabetes dataset comprising 13,948 individuals with diabetes aged 0–9 years over the period April 2000 to March 2011. We compiled LAD level estimates for a range of potential demographic and environmental risk factors including meteorological, land use and environmental pollution variables. The associations between type 1 diabetes incidence and risk factors were assessed via Poisson regression, disease mapping and ecological regression. RESULTS: Case counts by LAD varied from 1 to 236 (median 33, interquartile range 24–46). Overall type 1 diabetes incidence was 21.2 (95% CI 20.9, 21.6) per 100,000 individuals. The EnWAS and disease mapping indicated that 15 out of 53 demographic and environmental risk factors were significantly associated with diabetes incidence, after adjusting for multiple testing. These included air pollutants (particulate matter, nitrogen dioxide, nitrogen oxides, carbon monoxide; all inversely associated), as well as lead in soil, radon, outdoor light at night, overcrowding, population density and ethnicity. Disease mapping revealed spatial heterogeneity in type 1 diabetes risk. The ecological regression found an association between type 1 diabetes and the living environment domain of the Index of Multiple Deprivation (RR 0.995; 95% credible interval [CrI] 0.991, 0.998) and radon potential class (RR 1.044; 95% CrI 1.015, 1.074). CONCLUSIONS/INTERPRETATION: Our analysis identifies a range of demographic and environmental factors associated with type 1 diabetes in children in England. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-020-05087-7) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2020-01-24 2020 /pmc/articles/PMC7145790/ /pubmed/31980846 http://dx.doi.org/10.1007/s00125-020-05087-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sheehan, Annalisa Freni Sterrantino, Anna Fecht, Daniela Elliott, Paul Hodgson, Susan Childhood type 1 diabetes: an environment-wide association study across England |
title | Childhood type 1 diabetes: an environment-wide association study across England |
title_full | Childhood type 1 diabetes: an environment-wide association study across England |
title_fullStr | Childhood type 1 diabetes: an environment-wide association study across England |
title_full_unstemmed | Childhood type 1 diabetes: an environment-wide association study across England |
title_short | Childhood type 1 diabetes: an environment-wide association study across England |
title_sort | childhood type 1 diabetes: an environment-wide association study across england |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145790/ https://www.ncbi.nlm.nih.gov/pubmed/31980846 http://dx.doi.org/10.1007/s00125-020-05087-7 |
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