Imperial College London
Alternate

ProfessorPaulElliott

Faculty of Medicine, School of Public Health

Chair in Epidemiology and Public Health Medicine
 
 
 
//

Contact

 

+44 (0)20 7594 3328p.elliott Website

 
 
//

Assistant

 

Miss Jennifer Wells +44 (0)20 7594 3328

 
//

Location

 

154Norfolk PlaceSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Sheehan:2020:10.1007/s00125-020-05087-7,
author = {Sheehan, A and Freni, Sterrantino A and Fecht, D and Elliott, P and Hodgson, S},
doi = {10.1007/s00125-020-05087-7},
journal = {Diabetologia},
pages = {964--976},
title = {Childhood Type 1 diabetes: an environment wide association study across England},
url = {http://dx.doi.org/10.1007/s00125-020-05087-7},
volume = {63},
year = {2020}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Aims:Type 1 Diabetes is an autoimmune disease affecting ~400,000 people across the UK. Environmental factors likely trigger the disease processin genetically susceptible individuals. We assessed the associations between a wide range of environmental factors and childhood type 1 diabetesincidence 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 (HES) based incident type 1 diabetesdataset, comprising 13,948 cases aged 0-9 years over the period April 2000-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 diabetesincidence and risk factors were assessed via Poisson regression, disease mapping and ecological regression. 8Results:Case counts by LAD varied from 1 to 236(median 33;inter quartile range: 24-46). Overall type 1 diabetesincidence was 21.2 (95% CI 20.9-21.6) per 100,000individuals. The EnWASand disease mapping indicated that 15out 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 diabetesrisk. The ecological regression found anassociationbetween type 1 diabetesand thelivingenvironmentdomainof 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:Our analysis identifiesa range of demographic and environmental facto
AU  - Sheehan,A
AU  - Freni,Sterrantino A
AU  - Fecht,D
AU  - Elliott,P
AU  - Hodgson,S
DO  - 10.1007/s00125-020-05087-7
EP  - 976
PY  - 2020///
SN  - 0012-186X
SP  - 964
TI  - Childhood Type 1 diabetes: an environment wide association study across England
T2  - Diabetologia
UR  - http://dx.doi.org/10.1007/s00125-020-05087-7
UR  - https://link.springer.com/article/10.1007%2Fs00125-020-05087-7
UR  - http://hdl.handle.net/10044/1/75605
VL  - 63
ER  -
Download