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

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.

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Publication Details

Journal
Genetic Epidemiology
Published
2026-01-21
DOI
https://doi.org/10.1002/gepi.70031
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Marcus R. Munafò, Benjamin Woolf, Chin Yang Shapland, Amy M. Mason et al.
Genetic Epidemiology
Health, Environment, Cognitive Aging
article

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

Marcus R. Munafò, Benjamin Woolf, Chin Yang Shapland, Amy M. Mason, Hyunseung Kang, Hannah M. Sallis
article en

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.

Genetic EpidemiologyVol. 50(1)
University of Wisconsin–Madison (US), University of Cambridge (GB), British Heart Foundation (GB), University of Bristol (GB), MRC Biostatistics Unit (GB)
Wellcome Trust, National Institute for Health and Care Research, British Heart Foundation, Mauritius Research Council, Economic and Social Research Council
Good health and well-being
Openalex Percentile: Top 84%
Health, Environment, Cognitive Aging
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