Utilizing offspring genotype-by-proxy Mendelian randomization to investigate the causal effect of offspring perinatal traits on maternal health

Given the increasing availability of datasets such as the UK Biobank that (incidentally) include tens of thousands of genome-wide genotyped spousal pairs and large population biobanks with linked health record data for first-degree relatives, the offspring genotype-by-proxy MR approach could augment causal analyses of offspring perinatal exposures on their mother's outcomes as implementation is not restricted to datasets with mother-offspring genotype information.

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Publication Details

Journal
International Journal of Epidemiology
Published
2026-02-18
DOI
https://doi.org/10.1093/ije/dyag030
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Utilizing offspring genotype-by-proxy Mendelian randomization to investigate the causal effect of offspring perinatal traits on maternal health

Caroline Brito Nunes, David M Evans, Deborah A Lawlor, Alesha A Hatton
International Journal of Epidemiology
Genetic Associations and Epidemiology
article

Utilizing offspring genotype-by-proxy Mendelian randomization to investigate the causal effect of offspring perinatal traits on maternal health

Caroline Brito Nunes, David M Evans, Deborah A Lawlor, Alesha A Hatton
article en

Abstract

Given the increasing availability of datasets such as the UK Biobank that (incidentally) include tens of thousands of genome-wide genotyped spousal pairs and large population biobanks with linked health record data for first-degree relatives, the offspring genotype-by-proxy MR approach could augment causal analyses of offspring perinatal exposures on their mother's outcomes as implementation is not restricted to datasets with mother-offspring genotype information.

International Journal of EpidemiologyVol. 55(2)
Translational Research Institute (AU), The University of Queensland (AU), University of Bristol (GB), MRC Epidemiology Unit (GB)
Openalex Percentile: Top 28%
Genetic Associations and Epidemiology
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