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Cited by 363

The DOI matches its Crossref record; 193 of the 193 references it cites were found in a registry or an index.

The genetics of human ageing

Open access
Melzer, David, Pilling, Luke C., Ferrucci, Luigi·2020·Nature Reviews Genetics

Abstract

The past two centuries have witnessed an unprecedented rise in human life expectancy. Sustaining longer lives with reduced periods of disability will require an understanding of the underlying mechanisms of ageing, and genetics is a powerful tool for identifying these mechanisms. Large-scale genome-wide association studies have recently identified many loci that influence key human ageing traits, including lifespan. Multi-trait loci have been linked with several age-related diseases, suggesting shared ageing influences. Mutations that drive accelerated ageing in prototypical progeria syndromes in humans point to an important role for genome maintenance and stability. Together, these different strands of genetic research are highlighting pathways for the discovery of anti-ageing interventions that may be applicable in humans. Bringing together different strands of genetic research, including results from recent large-scale genome-wide association studies relevant to human ageing, the authors highlight how genetics can further our understanding of the underlying mechanisms of ageing.

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Metadata

Authors
Melzer, D., Pilling, L. C., & Ferrucci, L.
Venue
Nature Reviews Genetics
Published
2019-11-05
Volume
21
Issue
2
Pages
88-101
ISSN
  • 1471-0056 (ISSN-L)
  • 1471-0064
OpenAlex
W2988912149
Cited by
363
References
193
FWCI
1.39
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: The genetics of human ageing. https://app.cochat.ai/papers/10.1038/s41576-019-0183-6
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Melzer, D., Pilling, L. C., & Ferrucci, L. (2020). The genetics of human ageing. Nature Reviews Genetics. https://doi.org/10.1038/s41576-019-0183-6

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.