Evidence map›Paper›PMID 28143747›Full record

SynthesisMechanisms of ageing and development2017

Limitations and risks of meta-analyses of longevity studies.

Paola Sebastiani, Harold Bae, Anastasia Gurinovich, Mette Soerensen, Annibale Puca, Thomas T Perls

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Mechanisms of ageing and development, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. APOE Alleles and Extreme Human Longevity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2019
    Pooled it
  4. Effects of FOXO3 Polymorphisms on Survival to Extreme Longevity in Four Centenarian Studies.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Pooled it
  5. Evolutionary genetics of ageing.Nature reviews. Genetics · 2026
    Review
  6. Review
  7. Article
  8. How Important Are Genes to Achieve Longevity?International journal of molecular sciences · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Genetic and epigenetic regulation of human aging and longevity.Biochimica et biophysica acta. Molecular basis of disease · 2019
    Review
  15. Review
  16. Article
  17. Analysis of Polymorphisms in 59 Potential Candidate Genes for Association With Human Longevity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2018
    Article
  18. Article
  19. Article
  20. FOXO3 and Exceptional Longevity: Insights From Hydra to Humans.Current topics in developmental biology · 2018
    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

6 authors.

Paola SebastianiDepartment of Biostatistics, Boston University School of Public Health, 801 Massachusetts Avenue, Boston, MA 02118, United States. Electronic address: sebas@bu.edu.
Harold BaeCollege of Public Health and Human Sciences, Oregon State University, 151 Milam Hall, Corvallis, OR, United States. Electronic address: Harold.Bae@oregonstate.edu.
Anastasia GurinovichBioinformatics Program, Boston University, 44 Cummington Mall, Boston, MA 02215, United States. Electronic address: agurinov@bu.edu.
Mette SoerensenThe Danish Aging Research Center, Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, J.B. Winsloews Vej 9 B, St., 5000 Odense C, Denmark. Electronic address: msoerensen@health.sdu.dk.
Annibale PucaIRCCS MultiMedica, 20138 Milan (Mi), Italy; University of Salerno, Department of Medicine and Surgery, 84081 Baronissi, SA, Italy. Electronic address: apuca@unisa.it.
Thomas T PerlsGeriatrics Section, Department of Medicine, Boston University School of Medicine & Boston Medical Center, 88 E Newton St., Boston, MA 02118, United States. Electronic address: thperls@bu.edu.

Funding

Systems BiologyU19AG023122 · NIA · TRANSLATIONAL GENOMICS RESEARCH INST · PI FRED H GAGE · 2004 to 2026
$102.6M
The Long Life Family StudyU01AG023755 · NIA · BOSTON MEDICAL CENTER · PI PERLS, THOMAS T · 2004 to 2018
$13.2M
Plasma beta-amyloid in long lived families: genetics and risk of ADU01AG023749 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSENTINO, STEPHANIE ANN, LEE, JOSEPH HYUNGWOO · 2004 to 2018
$13.0M
NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19 AG023122
6 · The paper itself

Abstract

Searching for genetic determinants of human longevity has been challenged by the rarity of data sets with large numbers of individuals who have reached extreme old age, inconsistent definitions of the phenotype, and the difficulty of defining appropriate controls. Meta-analysis - a statistical method to summarize results from different studies - has become a common tool in genetic epidemiology to accrue large sample sizes for powerful genetic association studies. In conducting a meta-analysis of studies of human longevity however, particular attention must be made to the definition of cases and controls (including their health status) and on the effect of possible confounders such as sex and ethnicity upon the genetic effect to be estimated. We will show examples of how a meta-analysis can inflate the false negative rates of genetic association studies or it can bias estimates of the association between a genetic variant and extreme longevity.

Indexed as

Genetic VariationAged, 80 and overEthnicityFemaleHumansLongevityMaleSex FactorsHuman longevityMeta-analysisOdds-ratios

Identifiers

PMID28143747
PMCPMC5533653

What OpenQuestion holds

Textmetadata
LicenceTDM
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.