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Updated: Nov 27, 2025

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
Published on: August 20, 2019
Rare and low-frequency coding variants alter human adult height.
Eirini Marouli1, Mariaelisa Graff2, Carolina Medina-Gomez3,4
1William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK.
Researchers discovered 83 rare genetic variants significantly impacting human height, some increasing height by up to 2 cm per allele. These findings reveal new biological pathways influencing growth and demonstrate the power of large-scale genetic studies.
Area of Science:
- Human Genetics
- Molecular Biology
- Biochemistry
Background:
- Human height is a complex polygenic trait influenced by numerous common genetic variants.
- Previous genome-wide association studies (GWAS) have identified around 700 common variants associated with height.
Purpose of the Study:
- To identify rare and low-frequency genetic variants with substantial effects on human height.
- To investigate the functional mechanisms and biological pathways underlying height variation.
Main Methods:
- Genome-wide association studies (GWAS) were conducted on a large scale to identify height-associated variants.
- Functional follow-up studies, including in vitro experiments, were performed to elucidate the impact of specific variants.
Main Results:
- Eighty-three height-associated coding variants with minor allele frequencies between 0.1-4.8% were identified.
- Several variants, notably in STC2, demonstrated large effects on height (1-2 cm per allele) by influencing insulin-like growth factor bioavailability.
- These variants overlap with genes implicated in monogenic growth disorders, highlighting novel genes (e.g., ADAMTS3, IL11RA, NOX4) and pathways (e.g., proteoglycan synthesis).
Conclusions:
- Large sample sizes enable the discovery of rare and low-frequency variants with moderate-to-large effects on polygenic traits like height.
- These variants provide insights into the genetic architecture of human growth and identify new biological targets for growth-related research.
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