Separating Genetic Nurture and Epigenetic Imprinting in 30,000 Biobank Trios

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Summary of  Cell Genomics  https://doi.org/10.1016/j.xgen.2026.101277
Dr. Ilse Krätschmer et al.

Points

Investigators developed a novel genetic joint modeling approach called JODIE to partition DNA influences into direct offspring effects, indirect parental effects, and parent-of-origin epigenetic variations.
The research team validated the framework by analyzing genomic data from 30,000 mother-father-child trios obtained from the Estonian Biobank and the Norwegian Mother, Father, and Child Cohort.
Phenotypic modeling focused on childhood height, body mass index, and school test performance scores collected from children at approximately 10 years of age.
Within-family genome-wide association testing identified 276 independently associated DNA regions where combined indirect parental and parent-of-origin effects were nearly as substantial as direct genetic inheritance.
The findings indicate that the same genetic loci shape children through direct biological pathways and the household environments created by parents, helping inform future targets for personalized medicine.

Summary

This study evaluated the efficacy of JODIE, a novel genetic joint modeling approach designed to estimate how DNA loci influence human phenotypic variation. Traditional genome-wide association studies focus on direct genetic effects from an individual’s own alleles, which frequently conflates true biological action with “genetic nurture”—the environmental influence shaped by parental genotypes. Furthermore, standard models fail to isolate parent-of-origin (PofO) effects driven by epigenetic imprinting, where specific alleles are naturally silenced depending on parental transmission. To address these limitations, this framework sought to partition phenotypic variance into four distinct components: direct offspring effects, indirect maternal effects, indirect paternal effects, and PofO effects, while uniquely accounting for the confounding distortions introduced by assortative mating.

The investigators validated this joint modeling architecture by analyzing genomic and phenotypic data from 30,000 child-mother-father trios. These family cohorts were drawn from two large-scale biobanks, the Estonian Biobank and the Norwegian Mother, Father, and Child Cohort, with analysis focusing on height, body mass index (BMI), and childhood educational test scores obtained around age 10. Within-family genome-wide association testing successfully identified 276 independently associated DNA regions exhibiting a complex interplay between the variance components. The data demonstrated that while direct genetic effects represent the single largest contributor to individual trait variance across all three phenotypes, the combined contribution of indirect parental and PofO effects is similarly substantial.

The localized results revealed that identical genetic loci frequently underlie both direct actions and indirect environmental modifications, demonstrating that the same DNA regions shape offspring development across generations through dual pathways. Environmental components accounted for the largest overall proportion of variance in BMI and educational test scores. These findings suggest that human phenotypic architecture is heavily shaped by an intricate cross-generational genetic hand. Furthermore, the investigators noted that only DNA regions exhibiting strong direct genetic effects are likely to serve as viable therapeutic targets in personalized medicine. While longitudinal trials are needed to define specific risk hazard ratios, this study provides a precise mathematical framework to isolate genetic imprinting and complex familial inheritance.

Link to the article: https://www.cell.com/cell-genomics/fulltext/S2666-979X(26)00139-4?_returnURL=https%3A%2F%2Flinkinghub.elsevier.com%2Fretrieve%2Fpii%2FS2666979X26001394%3Fshowall%3Dtrue

References

Krätschmer, I., Hegemann, L., Hofmeister, R. J., Corfield, E. C., Mahmoudi, M., Delaneau, O., Andreassen, O. A., Campbell, A., Hayward, C., Marioni, R. E., Ystrom, E., Havdahl, A., & Robinson, M. R. (2026). Separating direct, indirect, and parent-of-origin genetic effects in the human population. Cell Genomics, 101277. https://doi.org/10.1016/j.xgen.2026.101277