Evidence map›Paper›PMID 26937346›Full record

ReviewApplied & translational genomics2015

Genetics, lifestyle and longevity: Lessons from centenarians.

Diddahally Govindaraju, Gil Atzmon, Nir Barzilai

Open access · hybridAbstract readReview
In one paragraph

Review in Applied & translational genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 3 syntheses or guidelines pooled it, 123 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Assessing the causal impact of leisure-time physical activity and screen time on lifespan: a Mendelian randomization study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. The centenarian blueprint: lessons in defying Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Linking Aging to Cancer: The Role of Chromatin Biology.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Review
  17. High-content phenotypic analysis ofbioRxiv : the preprint server for biology · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Diddahally GovindarajuDivision of Gerontology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States; Institute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, The Bronx, New York, NY 10461, United States.
Gil AtzmonInstitute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, The Bronx, New York, NY 10461, United States; Department of Human Biology, Faculty of Natural Sciences, University of Haifa, Haifa 3498838, Israel.
Nir BarzilaiInstitute for Aging Research, Department of Medicine, Albert Einstein College of Medicine, The Bronx, New York, NY 10461, United States.
Albert Einstein College of Medicine · USBeth Israel Deaconess Medical Center · USThe Bronx Defenders · US

Funding

Einstein's Nathan Shock Center of Excellence in Basic Biology of AgingP30AG038072 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VIJG, JAN · 2010 to 2024
$10.8M
LGP/LongenityR01AG046949 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BARZILAI, NIR J · 2013 to 2017
$2.4M
NIA NIH HHS P30 AG038072NIA NIH HHS R01 AG046949
6 · The paper itself

Abstract

Longevity as a complex life-history trait shares an ontogenetic relationship with other quantitative traits and varies among individuals, families and populations. Heritability estimates of longevity suggest that about a third of the phenotypic variation associated with the trait is attributable to genetic factors, and the rest is influenced by epigenetic and environmental factors. Individuals react differently to the environments that they are a part of, as well as to the environments they construct for their survival and reproduction; the latter phenomenon is known as niche construction. Lifestyle influences longevity at all the stages of development and levels of human diversity. Hence, lifestyle may be viewed as a component of niche construction. Here, we: a) interpret longevity using a combination of genotype-epigenetic-phenotype (GEP) map approach and niche-construction theory, and b) discuss the plausible influence of genetic and epigenetic factors in the distribution and maintenance of longevity among individuals with normal life span on the one hand, and centenarians on the other. Although similar genetic and environmental factors appear to be common to both of these groups, exceptional longevity may be influenced by polymorphisms in specific genes, coupled with superior genomic stability and homeostatic mechanisms, maintained by negative frequency-dependent selection. We suggest that a comparative analysis of longevity between individuals with normal life span and centenarians, along with insights from population ecology and evolutionary biology, would not only advance our knowledge of biological mechanisms underlying human longevity, but also provide deeper insights into extending healthy life span.

Indexed as

Composite traitGenomic stabilityGenotype–phenotype (G–P) mapNegative frequency-dependent selectionNiche constructionReaction norms

Identifiers

PMID26937346
PMCPMC4745363
OpenAlexW1965700152

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.