Evidence map›Paper›PMID 41462053›Full record

ArticleScientific reports2025

Synteny - a high throughput web tool to streamline causal gene prioritisation and provide insight into protein function.

Harry B Cutler, Jacqueline Stöckli, Søren Madsen, Stewart W C Masson, Oliver K Fuller, Tom Buckingham Shum, David E James

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Sex-specific phosphoproteome responses to calorie restriction and insulin in skeletal muscle from older rats.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  2. 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

7 authors.

Harry B CutlerSchool of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, Australia.
Jacqueline StöckliSchool of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, Australia.
Søren MadsenSchool of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, Australia.
Stewart W C MassonSchool of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, Australia.
Oliver K FullerSchool of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, Australia.
Tom Buckingham ShumCharles Perkins Centre, University of Sydney, Camperdown, NSW, Australia.
David E JamesSchool of Life and Environmental Sciences, University of Sydney, Camperdown, NSW, Australia. david.james@sydney.edu.au.

Funding

Australian Research Council FL200100096
6 · The paper itself

Abstract

Accounting for human genetic evidence can improve the outcomes and impact of basic medical research studies. However, current approaches are incompatible with the high volume of disease-associated genes that require mechanistic interrogation and risk overlooking important phenotypic associations. Synteny responds to an urgent need in systems biology, scaling human genetic analysis to match the throughput of modern omics technologies. This approach prioritises candidates with the strongest human disease relevance and unearths functionally important proteins ( https://bigproteomics.shinyapps.io/Synteny/ ).

Indexed as

Computational BiologyProteinsSoftwareSyntenyGenetic Predisposition to DiseaseHumansInternetProteinsCandidate prioritisationCausal genesDisease-associated genesHuman genetic dataProteomicsSystems biologyTranscriptomics

Identifiers

PMID41462053
PMCPMC12749926

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.