title: Finding vulnerable subpopulations in the Seychelles Child Development Study: effect modification with latent groups.
abstract: The Seychelles Child Development Study is a research project with the objective of examining associations between prenatal exposure to low doses of methylmercury from maternal fish consumption and children's developmental outcomes. Whether methylmercury has neurotoxic effects at low doses remains unclear and recommendations for pregnant women and children to reduce fish intake may prevent a substantial number of people from receiving sufficient nutrients that are abundant in fish. The primary findings of the Seychelles Child Development Study are inconsistent with adverse associations between methylmercury from fish consumption and neurodevelopmental outcomes. However, whether there are subpopulations of children who are particularly sensitive to this diet is an open question. Secondary analysis from this study found significant interactions between prenatal methylmercury levels and both caregiver IQ and income on 19-month IQ. These results are sensitive to the categories chosen for these covariates and are difficult to interpret collectively. In this paper, we estimate effect modification of the association between prenatal methylmercury exposure and 19-month IQ using a general formulation of mixture regression. Our mixture regression model creates a latent categorical group membership variable which interacts with methylmercury in predicting the outcome. We also fit the same outcome model when in addition the latent variable is assumed to be a parametric function of three distinct socioeconomic measures. Bayesian methods allow group membership and the regression coefficients to be estimated simultaneously and our approach yields a principled choice of the number of distinct subpopulations. The results show three groups with different response patterns between prenatal methylmercury exposure and 19-month IQ in this population.
authors.affiliation: 1 Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.
authors.forename: Tanzy Mt
authors.initials: TM
authors.lastname: Love
authors.affiliation: 1 Department of Biostatistics and Computational Biology, University of Rochester, Rochester, NY, USA.
authors.forename: Sally W
authors.initials: SW
authors.lastname: Thurston
authors.affiliation: 2 Departments of Pediatrics, University of Rochester, Rochester, NY, USA.
authors.forename: Philip W
authors.initials: PW
authors.lastname: Davidson
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D056808:Biostatistics / Q000379:methods; D002657:Child Development / Q000187:drug effects*; D003198:Computer Simulation; D005260:Female; D005399:Fishes; D005506:Food Contamination; D006801:Humans; D007223:Infant; D007360:Intelligence / Q000187:drug effects; D008767:Methylmercury Compounds / Q000506:poisoning*; D015233:Models, Statistical; D011247:Pregnancy; D011297:Prenatal Exposure Delayed Effects / Q000523:psychology*; D012044:Regression Analysis; D012750:Seychelles
chemical_list: D008767:Methylmercury Compounds
keywords: Bayesian analysis; Mixture regression; methylmercury; proportial odds regression; subpopulation analysis