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Cited by 186

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Evolution of human longevity and the genetic complexity governing aging rate.

Open access
Cutler, R G·1975·Proceedings of the National Academy of Sciences

Abstract

Genetic complexity of processes governing the aging rate of man was estimated by determining the maximum rate lifespan has evolved along the hominid ancestral-descendant sequence. Maximum lifespan potential was found to have increased approximately 2-fold over the past 3 million years, reaching a maximum rate of increase of 14 years per 100,000 years about 100,000 years ago. It is estimated that about 0.6% of the total functional genes have received substitutions leading to one or more adaptive amino acid changes during this 100,000-year time-period. This suggests that aging is not the result of an expression of a large number of independently acting processes. Instead, primary aging processes appear to exist where only a few genetic changes are necessary to decrease uniformly the aging rate of many different physiological functions.

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Metadata

Authors
Cutler, R. G.
Venue
Proceedings of the National Academy of Sciences
Published
1975-11
Volume
72
Issue
11
Pages
4664-4668
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1868818619
Cited by
186
References
4
FWCI
5.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Evolution of human longevity and the genetic complexity governing aging rate. https://app.cochat.ai/papers/10.1073/pnas.72.11.4664
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Cutler, R. G. (1975). Evolution of human longevity and the genetic complexity governing aging rate. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.72.11.4664

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.