TY - JOUR
T1 - Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium
AU - Rahbar, Mohammad H.
AU - Samms-Vaughan, Maureen
AU - Lee, Min Jae
AU - Christian, MacKinsey A.
AU - Bressler, Jan
AU - Hessabi, Manouchehr
AU - Grove, Megan L.
AU - Shakespeare-Pellington, Sydonnie
AU - Coore Desai, Charlene
AU - Reece, Jody Ann
AU - Loveland, Katherine A.
AU - Beecher, Compton
AU - McLaughlin, Wayne
AU - Boerwinkle, Eric
N1 - Funding Information:
This research is co-funded by the National Institute of Environmental Health Sciences (NIEHS) by a grant ( R01ES022165 ), as well as the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) and the National Institutes of Health Fogarty International Center (NIH-FIC) by a grant ( R21HD057808 ) awarded to University of Texas Health Science Center at Houston. We also acknowledge the support provided by the Biostatistics/Epidemiology/Research Design (BERD) component of the Center for Clinical and Translational Sciences (CCTS) for this project. CCTS is mainly funded by the NIH Centers for Translational Science Award (NIH CTSA) grant ( UL1 RR024148 ), awarded to University of Texas Health Science Center at Houston in 2006 by the National Center for Research Resources (NCRR) and its renewal ( UL1 TR000371 ) by the National Center for Advancing Translational Sciences (NCATS) . Furthermore, we acknowledge that the collection and management of survey data were done using REDCap ( Harris et al., 2009 ), which was partly supported by a grant ( UL1 TR000445 ) from NCATS/NIH , awarded to Vanderbilt University. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NICHD, NIH-FIC, NIEHS, NCRR, or NCATS. Finally, we acknowledge contributions by colleagues in the Analytical Chemistry Lab at MDHHS for analyzing and storing the whole blood samples for the assessments of heavy metal concentrations, under a service contract.
Publisher Copyright:
© 2018 Elsevier Ltd
PY - 2018/11
Y1 - 2018/11
N2 - Background: We previously reported a significant interactive association between polymorphisms of GSTP1 and blood manganese concentrations (BMC) with autism spectrum disorder (ASD) in Jamaican children. In this paper, we investigate the same interactive association with ASD while adjusting for the mixture of four metals (lead, mercury, cadmium, and arsenic). Method: We used data from 163 case-control pairs of children 2–8 years of age from our autism project in Jamaica, in which we collected blood for heavy metals analysis at enrollment. To minimize potential multicollinearity between concentrations of the four metals, we generated a mixture index using generalized weighted quantile sum regression, which was used in conditional logistic regression models to control for the four metals while assessing the interactive association between GSTP1 and BMC with ASD. Results: Similar to the findings we reported previously, we found that in co-dominant and dominant models for GSTP1, among children with the Ile/Ile genotype, those with BMC ≥ 12 μg/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC < 12 μg/L (adjusted Matched Odds Ratio (MOR) = 4.6, 95% CI: 1.21–17.42 and adjusted MOR = 4.27, 95% CI: 1.15–15.85, respectively). In the co-dominant model, for children with the Ile/Val and Val/Val genotypes, the adjusted MORs were 1.26 (95% CI: 0.32, 5.01) and 0.26 (95% CI: 0.05, 1.42), respectively. Conclusions: After adjusting for the mixture of four metals, the interactive association of BMC and GSTP1 with ASD remained significant with similar magnitude of associations. Results should be interpreted cautiously.
AB - Background: We previously reported a significant interactive association between polymorphisms of GSTP1 and blood manganese concentrations (BMC) with autism spectrum disorder (ASD) in Jamaican children. In this paper, we investigate the same interactive association with ASD while adjusting for the mixture of four metals (lead, mercury, cadmium, and arsenic). Method: We used data from 163 case-control pairs of children 2–8 years of age from our autism project in Jamaica, in which we collected blood for heavy metals analysis at enrollment. To minimize potential multicollinearity between concentrations of the four metals, we generated a mixture index using generalized weighted quantile sum regression, which was used in conditional logistic regression models to control for the four metals while assessing the interactive association between GSTP1 and BMC with ASD. Results: Similar to the findings we reported previously, we found that in co-dominant and dominant models for GSTP1, among children with the Ile/Ile genotype, those with BMC ≥ 12 μg/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC < 12 μg/L (adjusted Matched Odds Ratio (MOR) = 4.6, 95% CI: 1.21–17.42 and adjusted MOR = 4.27, 95% CI: 1.15–15.85, respectively). In the co-dominant model, for children with the Ile/Val and Val/Val genotypes, the adjusted MORs were 1.26 (95% CI: 0.32, 5.01) and 0.26 (95% CI: 0.05, 1.42), respectively. Conclusions: After adjusting for the mixture of four metals, the interactive association of BMC and GSTP1 with ASD remained significant with similar magnitude of associations. Results should be interpreted cautiously.
KW - Autism spectrum disorder (ASD)
KW - GSTP1
KW - Heavy metals
KW - Interaction
KW - Weighted quantile sum (WQS) regression
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U2 - 10.1016/j.rasd.2018.08.003
DO - 10.1016/j.rasd.2018.08.003
M3 - Article
C2 - 30930959
AN - SCOPUS:85052881309
SN - 1750-9467
VL - 55
SP - 50
EP - 63
JO - Research in Autism Spectrum Disorders
JF - Research in Autism Spectrum Disorders
ER -