Family-based genetic data from MoBa sharpen insights into health and development
Researchers used the Norwegian Mother, Father and Child Cohort Study to show how trio designs separate direct genetic effects from parental influences on child traits.
The Norwegian Mother, Father and Child Cohort Study provides a large, genotyped family sample with rich phenotyping across more than 100,000 children. Researchers applied a tailored quality-control pipeline to over 230,000 individuals, identifying tens of thousands of parent-offspring relationships and thousands of trios. Comparing conventional GWAS with trio-based models showed reduced SNP-heritability estimates for several traits after accounting for parental genotypes, highlighting the role of indirect genetic effects.
Polygenic score analyses revealed that both maternal and paternal scores can inflate or suppress child-trait associations, emphasizing the need to model parental genotypes. Transmission-disequilibrium testing demonstrated over-inheritance of height and educational polygenic scores in children with extreme phenotypes, whereas sleep and depressive symptoms showed no clear transmission pattern. These findings underscore the value of family-based designs for refining causal genetic inference and for future research on intergenerational health.
Why it matters
Family genetic studies can disentangle inherited risk from environmental influences, improving disease prediction and prevention.
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