Evidence map›Paper›PMID 41941604›Full record

ArticleAging2026

A manually curated gene-phenotype catalogue for progeroid syndromes and premature aging.

Nuša Likar, Tanja Kunej

Abstract read
In one paragraph

Article in Aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Nuša LikarUniversity of Ljubljana, Biotechnical Faculty, Department of Animal Science, 1230 Domžale, Slovenia.
Tanja KunejUniversity of Ljubljana, Biotechnical Faculty, Department of Animal Science, 1230 Domžale, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Progeroid syndromes (PS) are a heterogeneous group of rare hereditary disorders with features resembling premature aging, thereby serving as valuable models for studying human aging biology. However, data on these syndromes remain fragmented across literature sources, with inconsistent terminology and classifications hindering systematic analyses. To address these challenges, we developed a curated catalogue integrating information from 84 publications and the Online Mendelian Inheritance in Man (OMIM) database. This resource consolidates data on 144 genes linked to 56 syndromes and their subtypes, comprising 160 distinct clinical entities, and their associated clinical manifestations categorized into 18 clinical feature groups. The compiled data were visualized and analyzed through a genome-phenome association network, offering new insights into the genetic and phenotypic heterogeneity of these disorders. The gene set was further analyzed through a protein-protein interaction (PPI) network and functional enrichment analysis, revealing a highly interconnected protein network with pronounced enrichment of genome maintenance pathways. Ten highly connected hub genes were prioritized in the PPI network based on degree centrality and further examined in the context of aging by cross-referencing with the Open Genes database, a curated resource of human genes associated with aging and longevity. A case study of the

Indexed as

agingDNA repairLMNA genepremature agingprogeroid syndromes

Identifiers

PMID41941604
PMCPMC13285954

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.