Evidence map›Paper›PMID 32221742›Full record

ReviewEuropean journal of epidemiology2020

Applying the exposome concept in birth cohort research: a review of statistical approaches.

Susana Santos, Léa Maitre, Charline Warembourg, Lydiane Agier, Lorenzo Richiardi, Xavier Basagaña, Martine Vrijheid

Abstract readReview
In one paragraph

Review in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Identifying Key Predictors of Mid-Childhood Obesity in a Population-Based Cohort Study: An Evidence Synthesis and Predictive Modeling Study.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Relevance and challenges of exposome studies for environmental health research.Environmental health : a global access science source · 2026
    Review
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  6. Review
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  10. Global research trends on the human exposome: a bibliometric analysis (2005-2024).Environmental science and pollution research international · 2025
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Susana SantosThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, PO Box 2040, 3000 CA, Rotterdam, The Netherlands. s.dasilvasantos@erasmusmc.nl.
Léa MaitreInstitute for Global Health, ISGlobal, Barcelona, Spain.
Charline WarembourgInstitute for Global Health, ISGlobal, Barcelona, Spain.
Lydiane AgierTeam of Environmental Epidemiology, IAB, Institute for Advanced Biosciences, Inserm, CNRS, CHU-Grenoble-Alpes, University Grenoble-Alpes, Grenoble, France.
Lorenzo RichiardiCancer Epidemiology Unit, Department of Medical Sciences, University of Turin and CPO-Piemonte, Turin, Italy.
Xavier BasagañaInstitute for Global Health, ISGlobal, Barcelona, Spain.
Martine VrijheidInstitute for Global Health, ISGlobal, Barcelona, Spain.

Funding

European Union's Horizon 2020 research and innovation programme 733206 (LifeCycle Project)European Union's Horizon 2020 research and innovation programme 874583 (ATHLETE Project)
6 · The paper itself

Abstract

The exposome represents the totality of life course environmental exposures (including lifestyle and other non-genetic factors), from the prenatal period onwards. This holistic concept of exposure provides a new framework to advance the understanding of complex and multifactorial diseases. Prospective pregnancy and birth cohort studies provide a unique opportunity for exposome research as they are able to capture, from prenatal life onwards, both the external (including lifestyle, chemical, social and wider community-level exposures) and the internal (including inflammation, metabolism, epigenetics, and gut microbiota) domains of the exposome. In this paper, we describe the steps required for applying an exposome approach, describe the main strengths and limitations of different statistical approaches and discuss their challenges, with the aim to provide guidance for methodological choices in the analysis of exposome data in birth cohort studies. An exposome approach implies selecting, pre-processing, describing and analyzing a large set of exposures. Several statistical methods are currently available to assess exposome-health associations, which differ in terms of research question that can be answered, of balance between sensitivity and false discovery proportion, and between computational complexity and simplicity (parsimony). Assessing the association between many exposures and health still raises many exposure assessment issues and statistical challenges. The exposome favors a holistic approach of environmental influences on health, which is likely to allow a more complete understanding of disease etiology.

Indexed as

ExposomeEnvironmental ExposureEnvironmental HealthEnvironmental MonitoringEnvironmental PollutantsEpigenomicsHealth StatusHumansLife StyleEnvironmental PollutantsBirth cohortsEnvironmental epidemiologyExposomeLife-course epidemiologyOmics

Identifiers

PMID32221742
PMCPMC7154018

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.