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Res Autism Spectr Disord. 2018 Nov;55:50-63. doi: 10.1016/j.rasd.2018.08.003. Epub 2018 Sep 05.

Interaction between manganese and .

Research in autism spectrum disorders

Mohammad H Rahbar, Maureen Samms-Vaughan, MinJae Lee, MacKinsey A Christian, Jan Bressler, Manouchehr Hessabi, Megan L Grove, Sydonnie Shakespeare-Pellington, Charlene Coore Desai, Jody-Ann Reece, Katherine A Loveland, Compton Beecher, Wayne McLaughlin, Eric Boerwinkle

Affiliations

  1. Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.
  2. Division of Clinical and Translational Sciences, Department of Internal Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.
  3. Biostatistics/Epidemiology/Research Design (BERD) core, Center for Clinical and Translational Sciences (CCTS), The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.
  4. Department of Child & Adolescent Health, The University of the West Indies (UWI), Mona Campus, Kingston, Jamaica.
  5. Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas 77030, USA.
  6. Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, Texas 77054, USA.
  7. Department of Basic Medical Sciences, The University of the West Indies, Mona Campus, Kingston, Jamaica.
  8. Caribbean Genetics (CARIGEN),The University of the West Indies, Mona Campus, Kingston, Jamaica.
  9. Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas 77030, USA.

PMID: 30930959 PMCID: PMC6434704 DOI: 10.1016/j.rasd.2018.08.003

Abstract

BACKGROUND: We previously reported a significant interactive association between polymorphisms of

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

RESULTS: Similar to the findings we reported previously, we found that in co-dominant and dominant models for

CONCLUSIONS: After adjusting for the mixture of four metals, the interactive association of BMC and

Keywords: Autism spectrum disorder (ASD); GSTPP; Heavy metals; Interaction; Weighted quantile sum (WQS) regression

Conflict of interest statement

Conflict of interest The authors declare no conflict of interest.

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