Evidence map›Paper›PMID 36735720›Full record

ArticlePloS one2023

Genetic scores for predicting longevity in the Croatian oldest-old population.

Maja Šetinc, Željka Celinšćak, Luka Bočkor, Tanja Ćorić, Branko Kolarić, Anita Stojanović Marković, Matea Zajc Petranović, Marijana Peričić Salihović, Nina Smolej Narančić, Tatjana Škarić-Jurić

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Maja ŠetincInstitute for Anthropological Research, Zagreb, Croatia.ORCID 0000-0002-8641-5391
Željka CelinšćakInstitute for Anthropological Research, Zagreb, Croatia.
Luka BočkorInstitute for Anthropological Research, Zagreb, Croatia.
Tanja ĆorićAndrija Štampar Teaching Institute of Public Health, Zagreb, Croatia.
Branko KolarićAndrija Štampar Teaching Institute of Public Health, Zagreb, Croatia.
Anita Stojanović MarkovićInstitute for Anthropological Research, Zagreb, Croatia.
Matea Zajc PetranovićInstitute for Anthropological Research, Zagreb, Croatia.
Marijana Peričić SalihovićInstitute for Anthropological Research, Zagreb, Croatia.
Nina Smolej NarančićInstitute for Anthropological Research, Zagreb, Croatia.
Tatjana Škarić-JurićInstitute for Anthropological Research, Zagreb, Croatia.
Institute for Anthropological Research · HRAndrija Stampar Teaching Institute of Public Health · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Longevity is a hallmark of successful ageing and a complex trait with a significant genetic component. In this study, 43 single nucleotide polymorphisms (SNPs) were chosen from the literature and genotyped in a Croatian oldest-old sample (85+ years, sample size (N) = 314), in order to determine whether any of these SNPs have a significant effect on reaching the age thresholds for longevity (90+ years, N = 212) and extreme longevity (95+ years, N = 84). The best models were selected for both survival ages using multivariate logistic regression. In the model for reaching age 90, nine SNPs explained 20% of variance for survival to that age, while the 95-year model included five SNPs accounting for 9.3% of variance. The two SNPs that showed the most significant association (p ≤ 0.01) with longevity were TERC rs16847897 and GHRHR rs2267723. Unweighted and weighted Genetic Longevity Scores (uGLS and wGLS) were calculated and their predictive power was tested. All four scores showed significant correlation with age at death (p ≤ 0.01). They also passed the ROC curve test with at least 50% predictive ability, but wGLS90 stood out as the most accurate score, with a 69% chance of accurately predicting survival to the age of 90.

Indexed as

LongevityPolymorphism, Single NucleotideAged, 80 and overCroatiaGenotypeHumans

Identifiers

PMID36735720
PMCPMC9897585
OpenAlexW4319058174

What Socratic 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 Socratic graph.