Evidence map›Paper›PMID 23804578›Full record

ArticleAging2013

Centenarians as super-controls to assess the biological relevance of genetic risk factors for common age-related diseases: a proof of principle on type 2 diabetes.

Paolo Garagnani, Cristina Giuliani, Chiara Pirazzini, Fabiola Olivieri, Maria Giulia Bacalini, Rita Ostan, Daniela Mari, Giuseppe Passarino, Daniela Monti, Anna Rita Bonfigli and 13 more

Abstract read
In one paragraph

Article in Aging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Protective Effects of Familial Longevity Decrease With Age and Become Negligible for Centenarians.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Polygenic Risk Score of Longevity Predicts Longer Survival Across an Age Continuum.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  13. Article
  14. Co-shared genetics and possible risk gene pathway partially explain the comorbidity of schizophrenia, major depressive disorder, type 2 diabetes, and metabolic syndrome.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2019
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

23 authors.

Paolo GaragnaniDIMES - Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, 40126 Italy. paolo.garagnani2@unibo.it
Cristina Giuliani
Chiara Pirazzini
Fabiola Olivieri
Maria Giulia Bacalini
Rita Ostan
Daniela Mari
Giuseppe Passarino
Daniela Monti
Anna Rita Bonfigli
Massimo Boemi
Antonio Ceriello
Stefano Genovese
Federica Sevini
Donata Luiselli
Paolo Tieri
Miriam Capri
Stefano Salvioli
Jan Vijg
Yousin Suh
Massimo Delledonne
Roberto Testa
Claudio Franceschi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic association studies of age-related, chronic human diseases often suffer from a lack of power to detect modest effects. Here we propose an alternative approach of including healthy centenarians as a more homogeneous and extreme control group. As a proof of principle we focused on type 2 diabetes (T2D) and assessed /genotypic associations of 31 SNPs associated with T2D, diabetes complications and metabolic diseases and SNPs of genes relevant for telomere stability and age-related diseases. We hypothesized that the frequencies of risk variants are inversely correlated with decreasing health and longevity. We performed association analyses comparing diabetic patients and non-diabetic controls followed by association analyses with extreme phenotypic groups (T2D patients with complications and centenarians). Results drew attention to rs7903146 (TCF7L2 gene) that showed a constant increase in the frequencies of risk genotype (TT) from centenarians to diabetic patients who developed macro-complications and the strongest genotypic association was detected when diabetic patients were compared to centenarians (p_value = 9.066*10⁻⁷). We conclude that robust and biologically relevant associations can be obtained when extreme phenotypes, even with a small sample size, are compared.

Indexed as

Aged, 80 and overAgingDiabetes Mellitus, Type 2Gene Expression RegulationGene FrequencyGenetic MarkersGenotypeHumansPolymorphism, Single NucleotideRisk FactorsGenetic Markers

Identifiers

PMID23804578
PMCPMC3701112

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.