ArticleBehavior genetics2016
Passive rGE or Developmental Gene-Environment Cascade? An Investigation of the Role of Xenobiotic Metabolism Genes in the Association Between Smoke Exposure During Pregnancy and Child Birth Weight.
Article in Behavior genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 15 citations in OpenAlex.
- Article
- No Evidence for Passive Gene-Environment Correlation or the Influence of Genetic Risk for Psychiatric Disorders on Adult Body Composition via the Adoption Design.Behavior genetics · 2021Article
- Parenting and prenatal risk as moderators of genetic influences on conduct problems during middle childhood.Developmental psychology · 2019Article
- Within-Family Effects of Smoking during Pregnancy on ADHD: the Importance of Phenotype.Journal of abnormal child psychology · 2018Article
- Prenatal Exposure Effects on Early Adolescent Substance Use: Preliminary Evidence From a Genetically Informed Bayesian Approach.Journal of studies on alcohol and drugs · 2017Article
- Prenatal tobacco exposure, birthweight, and offspring psychopathology.Psychiatry research · 2017Article
- Molecular genetic approaches to understanding the comorbidity of psychiatric disorders.Development and psychopathology · 2016Review
- The Importance of the Prenatal Environment in Behavioral Genetics: Introduction to Special Issue.Behavior genetics · 2016Article
- Maternal Smoking During Pregnancy and Offspring Birth Weight: A Genetically-Informed Approach Comparing Multiple Raters.Behavior genetics · 2016Article
- Missouri Mothers and Their Children: A Family Study of the Effects of Genetics and the Prenatal Environment.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2015Article
- Prenatal substance exposure and offspring development: Does DNA methylation play a role?Neurotoxicology and teratologyReview
- Early risk for child externalising symptoms: Examining genetic, prenatal, temperamental and parental influences.Infant and child developmentArticle
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
Abstract
There is considerable evidence that smoke exposure during pregnancy (SDP) environmentally influences birth weight after controlling for genetic influences and maternal characteristics. However, maternal smoking during pregnancy-the behavior that leads to smoke exposure during pregnancy-is also genetically-influenced, indicating the potential role of passive gene-environment correlation. An alternative to passive gene-SDP correlation is a cascading effect whereby maternal and child genetic influences are causally linked to prenatal exposures, which then have an 'environmental' effect on the development of the child's biology and behavior. We describe and demonstrate a conceptual framework for disentangling passive rGE from this cascading GE effect using a systems-based polygenic scoring approach comprised of genes shown to be important in the xenobiotic (substances foreign to the body) metabolism pathway. Data were drawn from 5044 families from the Avon Longitudinal Study of Parents and Children with information on maternal SDP, birth weight, and genetic polymorphisms in the xenobiotic pathway. Within a k-fold cross-validation approach (k = 5), we created weighted maternal and child polygenic scores using 18 polymorphisms from 10 genes that have been implicated in the xenobiotic metabolism pathway. Mothers and children shared variation in xenobiotic metabolism genes. Amongst mothers who smoked during pregnancy, neither maternal nor child xenobiotic metabolism polygenic scores were associated with a higher likelihood of smoke exposure during pregnancy, or the severity of smoke exposure during pregnancy (and therefore, neither proposed mechanism was supported), or with child birth weight. SDP was consistently associated with lower child birth weight controlling for the polygenic scores, maternal educational attainment, social class, psychiatric problems, and age. Limitations of the study design and the potential of the framework using other designs are discussed.
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