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Auteur Jody-Ann REECE |
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Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium / Mohammad H. RAHBAR in Research in Autism Spectrum Disorders, 55 (November 2018)
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Titre : Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; MacKinsey A. CHRISTIAN, Auteur ; Jan BRESSLER, Auteur ; Manouchehr HESSABI, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Charlene COORE DESAI, Auteur ; Jody-Ann REECE, Auteur ; Katherine A. LOVELAND, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur Article en page(s) : p.50-63 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder (ASD) Heavy metals Interaction Weighted quantile sum (WQS) regression Index. décimale : PER Périodiques Résumé : 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??g/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC?12??g/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. En ligne : https://doi.org/10.1016/j.rasd.2018.08.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369
in Research in Autism Spectrum Disorders > 55 (November 2018) . - p.50-63[article] Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium [Texte imprimé et/ou numérique] / Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; MacKinsey A. CHRISTIAN, Auteur ; Jan BRESSLER, Auteur ; Manouchehr HESSABI, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Charlene COORE DESAI, Auteur ; Jody-Ann REECE, Auteur ; Katherine A. LOVELAND, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur . - p.50-63.
Langues : Anglais (eng)
in Research in Autism Spectrum Disorders > 55 (November 2018) . - p.50-63
Mots-clés : Autism spectrum disorder (ASD) Heavy metals Interaction Weighted quantile sum (WQS) regression Index. décimale : PER Périodiques Résumé : 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??g/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC?12??g/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. En ligne : https://doi.org/10.1016/j.rasd.2018.08.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369