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Updated: Apr 18, 2026

In Vivo Modeling of the Morbid Human Genome using Danio rerio
Published on: August 24, 2013
Genetic Modulators of Disease Penetrance
Yunjun Kang1,2, Theodore G Drivas2,3
1Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Abstract:
In human genetics, penetrance describes the probability that a genotype manifests as a phenotype within a defined clinical window, yet its biological determinants remain poorly understood. Advances in sequencing technologies, statistical frameworks, and biobank-scale resources now enable systematic discovery of penetrance-modifying coding, regulatory, and structural variants spanning the allele frequency-effect size spectrum. Using metabolic dysfunction-associated steatotic liver disease, chronic kidney disease, and Alzheimer's disease as exemplars, we illustrate how rare, high-impact mutations, ancestry-enriched intermediate-frequency alleles, and common polygenic variation act through distinct molecular and cellular mechanisms to shape disease liability. We highlight gaps in integrating different variant types, modeling context-dependent effects, and building frameworks to translate genetic findings into individualized risk assessment. A unified understanding of penetrance promises to improve genotype-to-phenotype inference, refine patient risk stratification, and accelerate genetically informed therapeutic strategies.
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