ReviewBehavior genetics2016
Translational Epidemiologic Approaches to Understanding the Consequences of Early-Life Exposures.
Review in Behavior genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Maternal pre-pregnancy overweight/obesity and the risk of attention-deficit/hyperactivity disorder in offspring: a systematic review, meta-analysis and quasi-experimental family-based study.International journal of epidemiology · 2020Pooled it
- Maternal asthma activity and offspring asthma: a linked-data population study in Australia and Sweden.BMJ open respiratory research · 2026Article
- No evidence of parental mental health influencing children's academic achievement: a within-family study.European child & adolescent psychiatry · 2026Article
- Child Health Research Using linked Multi-domain Canadian Administrative Data: A Scoping Review.International journal of population data science · 2026Article
- Early Childhood Antibiotics and Chronic Pediatric Conditions: A Retrospective Cohort Study.The Journal of infectious diseases · 2025Article
- Prescribed opioid analgesic use in pregnancy and risk of neurodevelopmental disorders in children: A retrospective study in Sweden.PLoS medicine · 2025Article
- Fetal programming of early-onset type 2 diabetes: a Swedish nationwide cohort and sibling analysis.European journal of epidemiology · 2025Article
- Sibling Control Analysis of Perinatal Health and Family Environment Factors Related to Childhood ADHD Symptoms.medRxiv : the preprint server for health sciences · 2025Article
- Childhood household dysfunction and psychiatric, criminal, and social outcomes in emerging adulthood. A cousin comparison study.International journal of epidemiology · 2025Article
- Bidirectional association between inflammatory bowel disease and type 1 diabetes: a nationwide matched cohort and case-control study.The Lancet regional health. Europe · 2024Article
- Article
- Prenatal and adult exposure to smoking and incidence of type 1 diabetes in children and adults-a nationwide cohort study with a family-based design.The Lancet regional health. Europe · 2024Article
- Acid-suppressive medication and incidence of chronic childhood immune-mediated diseases: A scoping review.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2023Article
- Association between cumulative psychosocial adversity in the family and ADHD and autism: a family-based cohort study.Translational psychiatry · 2023Article
- Maternal depression or anxiety during pregnancy and offspring type 1 diabetes: a population-based family-design cohort study.BMJ open diabetes research & care · 2023Article
- Leveraging a genetically-informative study design to explore depression as a risk factor for type 2 diabetes: Rationale and participant characteristics of the Mood and Immune Regulation in Twins Study.Frontiers in clinical diabetes and healthcare · 2023Article
- A systematic review ofFrontiers in pediatrics · 2023Review
- What can siblings and cousins tell us about the role of early life family income in the aetiologies of violent crime, substance misuse and psychiatric morbidity?International journal of epidemiology · 2022Article
- Maternal smoking during pregnancy and type 1 diabetes in the offspring: a nationwide register-based study with family-based designs.BMC medicine · 2022Article
- Associations of parental and perinatal factors with subsequent risk of stress-related disorders: a nationwide cohort study with sibling comparison.Molecular psychiatry · 2022Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Prominent developmental theories posit a causal link between early-life exposures and later functioning. Yet, observed associations with early exposures may not reflect causal effects because of genetic and environmental confounding. The current manuscript describes how a systematic series of epidemiologic analyses that combine several genetically-informative designs and statistical approaches can help distinguish between competing theories. In particular, the manuscript details how combining the use of measured covariates with sibling-comparisons, cousin-comparisons, and additional designs can help elucidate the sources of covariation between early-life exposures and later outcomes, including the roles of (a) factors that are not shared in families, including a potential causal effect of the exposure; (b) carryover effects from the exposure of one child to the next; and (c) familial confounding. We also describe key assumptions and how they can be critically evaluated. Furthermore, we outline how subsequent analyses, including effect decomposition with respect to measured, plausible mediators, and quantitative genetic models can help further specify the underlying processes that account for the associations between early-life exposures and offspring outcomes.
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Registered trials
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.