Skip Navigation
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Your Environment. Your Health.

Publication Detail

Title: Using methylome data to inform exposome-health association studies: An application to the identification of environmental drivers of child body mass index.

Authors: Cadiou, Solène; Bustamante, Mariona; Agier, Lydiane; Andrusaityte, Sandra; Basagaña, Xavier; Carracedo, Angel; Chatzi, Leda; Grazuleviciene, Regina; Gonzalez, Juan R; Gutzkow, Kristine B; Maitre, Léa; Mason, Dan; Millot, Frédéric; Nieuwenhuijsen, Mark; Papadopoulou, Eleni; Santorelli, Gillian; Saulnier, Pierre-Jean; Vives, Marta; Wright, John; Vrijheid, Martine; Slama, Rémy

Published In Environ Int, (2020 05)

Abstract: BACKGROUND: The exposome is defined as encompassing all environmental exposures one undergoes from conception onwards. Challenges of the application of this concept to environmental-health association studies include a possibly high false-positive rate. OBJECTIVES: We aimed to reduce the dimension of the exposome using information from DNA methylation as a way to more efficiently characterize the relation between exposome and child body mass index (BMI). METHODS: Among 1,173 mother-child pairs from HELIX cohort, 216 exposures ("whole exposome") were characterized. BMI and DNA methylation from immune cells of peripheral blood were assessed in children at age 6-10 years. A priori reduction of the methylome to preselect BMI-relevant CpGs was performed using biological pathways. We then implemented a tailored Meet-in-the-Middle approach to identify from these CpGs candidate mediators in the exposome-BMI association, using univariate linear regression models corrected for multiple testing: this allowed to point out exposures most likely to be associated with BMI ("reduced exposome"). Associations of this reduced exposome with BMI were finally tested. The approach was compared to an agnostic exposome-wide association study (ExWAS) ignoring the methylome. RESULTS: Among the 2284 preselected CpGs (0.6% of the assessed CpGs), 62 were associated with BMI. Four factors (3 postnatal and 1 prenatal) of the exposome were associated with at least one of these CpGs, among which postnatal blood level of copper and PFOS were directly associated with BMI, with respectively positive and negative estimated effects. The agnostic ExWAS identified 18 additional postnatal exposures, including many persistent pollutants, generally unexpectedly associated with decreased BMI. DISCUSSION: Our approach incorporating a priori information identified fewer significant associations than an agnostic approach. We hypothesize that this smaller number corresponds to a higher specificity (and possibly lower sensitivity), compared to the agnostic approach. Indeed, the latter cannot distinguish causal relations from reverse causation, e.g. for persistent compounds stored in fat, whose circulating level is influenced by BMI.

PubMed ID: 32179316 Exiting the NIEHS site

MeSH Terms: Body Mass Index; Child; Environmental Exposure; Environmental Pollutants*/toxicity; Epigenome; Exposome*; Female; Humans; Pregnancy

Back
to Top