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Air pollution and diabetes association: Modification by type 2 diabetes genetic risk score


Eze, Ikenna C; Imboden, Medea; Kumar, Ashish; von Eckardstein, Arnold; Stolz, Daiana; Gerbase, Margaret W; Künzli, Nino; Pons, Marco; Kronenberg, Florian; Schindler, Christian; Probst-Hensch, Nicole (2016). Air pollution and diabetes association: Modification by type 2 diabetes genetic risk score. Environment international, 94:263-271.

Abstract

Exposure to ambient air pollution (AP) exposure has been linked to type 2 diabetes (T2D) risk. Evidence on the impact of T2D genetic variants on AP susceptibility is lacking. Compared to single variants, joint genetic variants contribute substantially to disease risk. We investigated the modification of AP and diabetes association by a genetic risk score (GRS) covering 63 T2D genes in 1524 first follow-up participants of the Swiss cohort study on air pollution and lung and heart diseases in adults. Genome-wide data and covariates were available from a nested asthma case-control study design. AP was estimated as 10-year mean residential particulate matter <10μm (PM10). We computed count-GRS and weighted-GRS, and applied PM10 interaction terms in mixed logistic regressions, on odds of diabetes. Analyses were stratified by pathways of diabetes pathology and by asthma status. Diabetes prevalence was 4.6% and mean exposure to PM10 was 22μg/m(3). Odds of diabetes increased by 8% (95% confidence interval: 2, 14%) per T2D risk allele and by 35% (-8, 97%) per 10μg/m(3) exposure to PM10. We observed a positive interaction between PM10 and count-GRS on diabetes [ORinteraction=1.10 (1.01, 1.20)], associations being strongest among participants at the highest quartile of count-GRS [OR: 1.97 (1.00, 3.87)]. Stronger interactions were observed with variants of the GRS involved in insulin resistance [(ORinteraction=1.22 (1.00, 1.50)] than with variants related to beta-cell function. Interactions with count-GRS were stronger among asthma cases. We observed similar results with weighted-GRS. Five single variants near GRB14, UBE2E2, PTPRD, VPS26A and KCNQ1 showed nominally significant interactions with PM10 (P<0.05). Our results suggest that genetic risk for T2D may modify susceptibility to air pollution through alterations in insulin sensitivity. These results need confirmation in diabetes cohort consortia.

Abstract

Exposure to ambient air pollution (AP) exposure has been linked to type 2 diabetes (T2D) risk. Evidence on the impact of T2D genetic variants on AP susceptibility is lacking. Compared to single variants, joint genetic variants contribute substantially to disease risk. We investigated the modification of AP and diabetes association by a genetic risk score (GRS) covering 63 T2D genes in 1524 first follow-up participants of the Swiss cohort study on air pollution and lung and heart diseases in adults. Genome-wide data and covariates were available from a nested asthma case-control study design. AP was estimated as 10-year mean residential particulate matter <10μm (PM10). We computed count-GRS and weighted-GRS, and applied PM10 interaction terms in mixed logistic regressions, on odds of diabetes. Analyses were stratified by pathways of diabetes pathology and by asthma status. Diabetes prevalence was 4.6% and mean exposure to PM10 was 22μg/m(3). Odds of diabetes increased by 8% (95% confidence interval: 2, 14%) per T2D risk allele and by 35% (-8, 97%) per 10μg/m(3) exposure to PM10. We observed a positive interaction between PM10 and count-GRS on diabetes [ORinteraction=1.10 (1.01, 1.20)], associations being strongest among participants at the highest quartile of count-GRS [OR: 1.97 (1.00, 3.87)]. Stronger interactions were observed with variants of the GRS involved in insulin resistance [(ORinteraction=1.22 (1.00, 1.50)] than with variants related to beta-cell function. Interactions with count-GRS were stronger among asthma cases. We observed similar results with weighted-GRS. Five single variants near GRB14, UBE2E2, PTPRD, VPS26A and KCNQ1 showed nominally significant interactions with PM10 (P<0.05). Our results suggest that genetic risk for T2D may modify susceptibility to air pollution through alterations in insulin sensitivity. These results need confirmation in diabetes cohort consortia.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Institute of Clinical Chemistry
Dewey Decimal Classification:610 Medicine & health
540 Chemistry
Scopus Subject Areas:Physical Sciences > General Environmental Science
Language:English
Date:6 June 2016
Deposited On:05 Jul 2016 14:50
Last Modified:07 Sep 2021 15:27
Publisher:Elsevier
ISSN:0160-4120
OA Status:Hybrid
Publisher DOI:https://doi.org/10.1016/j.envint.2016.04.032
PubMed ID:27281273
Project Information:
  • : FunderSNSF
  • : Grant ID4026-028099
  • : Project TitleSwiss study on air pollution and lung diseases in adults (SAPALDIA study)
  • : FunderSNSF
  • : Grant ID324730_135673
  • : Project TitleAir Pollution Exposure Assessment in Eight Swiss Areas
  • : FunderSNSF
  • : Grant ID3200-042532
  • : Project TitleSwiss Study on Air Pollution and Lung Diseases in Adults: Participants'Follow-up and Further Analysis.
  • : FunderSNSF
  • : Grant ID3247-065896
  • : Project TitleThe SAPALDIA II Cohort Study:Impact of environmental and personalrisk factors on the occurrence, course, remission and progressionof respiratory diseases in the Swiss population.
  • : FunderSNSF
  • : Grant ID3100-059302
  • : Project TitleThe SAPALDIA II Cohort Study:Impact of environmental and personalrisk factors on the occurrence, course, remission and progressionof respiratory diseases in the Swiss population.
  • : FunderSNSF
  • : Grant ID3200-052720
  • : Project TitleSwiss Study on Air Pollution and Lung Diseases in Adults: Mortality follow-up extension.

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