| 1. |
- Maitre, Léa, et al.
(författare)
-
State-of-the-art methods for exposure-health studies: Results from the exposome data challenge event
- 2022
-
Ingår i: Environment International. - : Elsevier BV. - 0160-4120 .- 1873-6750. ; 168
-
Tidskriftsartikel (refereegranskat)abstract
- The exposome recognizes that individuals are exposed simultaneously to a multitude of different environmental factors and takes a holistic approach to the discovery of etiological factors for disease. However, challenges arise when trying to quantify the health effects of complex exposure mixtures. Analytical challenges include dealing with high dimensionality, studying the combined effects of these exposures and their interactions, integrating causal pathways, and integrating high-throughput omics layers. To tackle these challenges, the Barcelona Institute for Global Health (ISGlobal) held a data challenge event open to researchers from all over the world and from all expertises. Analysts had a chance to compete and apply state-of-the-art methods on a common partially simulated exposome dataset (based on real case data from the HELIX project) with multiple correlated exposure variables (P > 100 exposure variables) arising from general and personal environments at different time points, biological molecular data (multi-omics: DNA methylation, gene expression, proteins, metabolomics) and multiple clinical phenotypes in 1301 mother–child pairs. Most of the methods presented included feature selection or feature reduction to deal with the high dimensionality of the exposome dataset. Several approaches explicitly searched for combined effects of exposures and/or their interactions using linear index models or response surface methods, including Bayesian methods. Other methods dealt with the multi-omics dataset in mediation analyses using multiple-step approaches. Here we discuss features of the statistical models used and provide the data and codes used, so that analysts have examples of implementation and can learn how to use these methods. Overall, the exposome data challenge presented a unique opportunity for researchers from different disciplines to create and share state-of-the-art analytical methods, setting a new standard for open science in the exposome and environmental health field.
|
|
| 2. |
- Papadopoulou, Eleni, et al.
(författare)
-
Maternal seafood intake during pregnancy, prenatal mercury exposure and child body mass index trajectories up to 8 years.
- 2021
-
Ingår i: International journal of epidemiology. - : Oxford University Press (OUP). - 1464-3685 .- 0300-5771. ; 50:4, s. 1134-1146
-
Tidskriftsartikel (refereegranskat)abstract
- Maternal seafood intake during pregnancy and prenatal mercury exposure may influence children's growth trajectories.This study, based on the Norwegian Mother, Father and Child Cohort Study (MoBa), includes 51 952 mother-child pairs recruited in pregnancy during 2002-08 and a subsample (n=2277) with maternal mercury concentrations in whole blood. Individual growth trajectories were computed by modelling based on child's reported weight and length/height from 1month to 8years. We used linear mixed-effects regression analysis and also conducted discordant-sibling analysis.Maternal lean fish was the main contributor to total seafood intake in pregnancy and was positively but weakly associated with child body mass index (BMI) growth trajectory. Higher prenatal mercury exposure (top decile) was associated with a reduction in child's weight growth trajectory, with the estimates ranging from -130g [95% Confidence Intervals (CI) = -247, -12g] at 18months to -608g (95% CI = -1.102, -113g) at 8years. Maternal fatty fish consumption was positively associated with child weight and BMI growth trajectory, but only in the higher mercury-exposed children (P-interaction = 0.045). Other seafood consumption during pregnancy was negatively associated with child weight growth compared with no intake, and this association was stronger for higher mercury-exposed children (P-interaction=0.004). No association was observed between discordant maternal seafood intake and child growth in the sibling analysis.Within a population with moderate seafood consumption and low mercury exposure, we found that maternal seafood consumption in pregnancy was associated with child growth trajectories, and the direction of the association varied by seafood type and level of prenatal mercury exposure. Prenatal mercury exposure was negatively associated with child growth. Our findings on maternal seafood intake are likely non-causal.
|
|
