Evidence map›Paper›PMID 41562185›Full record

ArticleGenetic epidemiology2026

Extending the Use of Mendelian Randomisation With Non-Inherited Variants to Assess Socially Transmitted Parental Exposures Under Assortative Mating.

Benjamin Woolf, Amy Mason, Chin Yang Shapland, Hyunseung Kang, Hannah M Sallis, Stephen Burgess, Marcus R Munafò

Abstract read
In one paragraph

Article in Genetic epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Benjamin WoolfSchool of Psychological Science, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-1505-2570
Amy MasonDepartment of Public Health and Primary Care, British Heart Foundation Cardiovascular Epidemiology Unit, Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK.
Chin Yang ShaplandMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-5797-1241
Hyunseung KangDepartment of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Hannah M SallisMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Stephen BurgessMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.ORCID https://orcid.org/0000-0001-5365-8760
Marcus R MunafòSchool of Psychological Science, University of Bristol, Bristol, UK.

Funding

British Heart Foundation CH/12/2/29428British Heart Foundation RE/18/1/34212British Heart Foundation RE/24/130011British Heart Foundation RG/18/13/33946British Heart Foundation RG/F/23/110103Economic and Social Research Council ES/P000630/1Mauritius Research Council MC_UU_00032/2Mauritius Research Council MC_UU_00032/7Mauritius Research Council MC_UU_00040/1NIHR NIHR203312Wellcome Trust 102215/2/13/2Wellcome Trust 217065/Z/19/ZWellcome Trust 225790Wellcome Trust 225790/Z/22/ZWellcome Trust WT088806
6 · The paper itself

Abstract

A longstanding aim of developmental psychology and epidemiology is to understand the causal effects of parental phenotypes on offspring outcomes. Traditional approaches often fail to account for confounding and reverse causation. We evaluate the use of Mendelian randomisation with non-inherited variants (MR-NIV) to address these limitations. MR-NIV leverages non-inherited genetic variants to instrument the parental phenotype independent of the offspring's genotype. We used Directed Acyclic Graphs and simulations to validate MR-NIV and explore robustness to assortative mating. In contrast to an alternative MR method which adjusts the parental genotype for offspring genotype, MR-NIV can be robust to assortative mating when used without trio data. In settings without trio data, MR-NIV outperformed the adjustment method. The adjustment method outperformed MR-NIV in settings with trio data. Applying MR-NIV to the Avon Longitudinal Study of Parents and Children, we assessed the causal effect of parental smoking on offspring smoking initiation at age 16. Results were consistent with observational studies, suggesting a meaningful increase in the risk of offspring smoking due to parental smoking. However, larger sample sizes will be necessary to provide a precise answer. MR-NIV offers a promising extension of Mendelian randomisation for studying the developmental environment.

Indexed as

Mendelian Randomization AnalysisComputer SimulationFemaleGenetic VariationGenotypeHumansLongitudinal StudiesMaleModels, GeneticParentsPhenotypeSmokingAvon Longitudinal Study of Parents and Children (ALSPAC)developmental environmentdynastic effectsgene‐environment correlationMendelian randomisationsmoking initiationsocial/indirect genetic effects

Identifiers

PMID41562185
PMCPMC12820921

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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.