Bridging population and cell: modelling complex diseases with human induced pluripotent stem cells

Induced pluripotent stem cells (iPSCs) have emerged as a powerful tool in biomedical research, enabling the study of cellular function and early disease mechanisms within patient-specific genetic contexts. Traditionally, iPSCs have been used to model monogenic diseases, where highly penetrant variants produce robust cellular phenotypes detectable in few cell lines. Recent advances in scalability and standardisation now enable systematic comparisons across many donors. This development is particularly relevant for complex diseases, which are driven by numerous genetic variants with small individual effects and therefore require population-scale designs to resolve genotype-phenotype relationships. However, several limitations of iPSC technology continue to challenge the reliability and reproducibility of such studies, constraining their translational relevance. Here, we review the challenges and opportunities of using iPSCs to model complex diseases, structured around three key themes: detecting subtle effects, modelling environmental context, and expanding genetic diversity.

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Publication Details

Journal
European Journal of Human Genetics
Published
2026-03-31
DOI
https://doi.org/10.1038/s41431-026-02071-4
Primary Topic
Pluripotent Stem Cells Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Bridging population and cell: modelling complex diseases with human induced pluripotent stem cells

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European Journal of Human Genetics
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Bridging population and cell: modelling complex diseases with human induced pluripotent stem cells

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article en

Abstract

Induced pluripotent stem cells (iPSCs) have emerged as a powerful tool in biomedical research, enabling the study of cellular function and early disease mechanisms within patient-specific genetic contexts. Traditionally, iPSCs have been used to model monogenic diseases, where highly penetrant variants produce robust cellular phenotypes detectable in few cell lines. Recent advances in scalability and standardisation now enable systematic comparisons across many donors. This development is particularly relevant for complex diseases, which are driven by numerous genetic variants with small individual effects and therefore require population-scale designs to resolve genotype-phenotype relationships. However, several limitations of iPSC technology continue to challenge the reliability and reproducibility of such studies, constraining their translational relevance. Here, we review the challenges and opportunities of using iPSCs to model complex diseases, structured around three key themes: detecting subtle effects, modelling environmental context, and expanding genetic diversity.

European Journal of Human Genetics
Radboud University Nijmegen (NL), Adolfo Ibáñez University (CL), Erasmus MC (NL), Radboud University Medical Center (NL), Radboud Institute for Molecular Life Sciences (NL), Erasmus University Rotterdam (NL)
ZonMw, Radboud Universitair Medisch Centrum
Openalex Percentile: Top 29%
Pluripotent Stem Cells Research
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