Evidence map›Paper›PMID 41326661›Full record

ArticleCommunications biology2025

Deciphering genetic susceptibility to clear cell renal cell carcinoma.

Maria Mandelia, Philip J Law, Charlie Mills, Molly Went, Jayaram Vijayakrishnan, Richard S Houlston

Abstract read
In one paragraph

Article in Communications biology, 2025. 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

6 authors.

Maria MandeliaDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK.ORCID http://orcid.org/0000-0001-7571-6669
Philip J LawDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK.ORCID http://orcid.org/0000-0001-9663-4611
Charlie MillsDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK.ORCID http://orcid.org/0000-0002-4755-7549
Molly WentDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK.ORCID http://orcid.org/0000-0003-3271-975X
Jayaram VijayakrishnanDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK.
Richard S HoulstonDivision of Genetics and Epidemiology, The Institute of Cancer Research, Sutton, UK. richard.houlston@icr.ac.uk.ORCID http://orcid.org/0000-0002-5268-0242

Funding

Cancer Research UK (CRUK) C1298/A8362Wellcome TrustWellcome Trust 214388
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have identified over 60 autosomal risk loci associated with clear cell renal cell carcinoma (ccRCC), yet the functional mechanisms underlying these associations remain largely unclear. To establish connections between risk variants and their target genes, we applied the activity-by-contact (ABC) model, which integrates epigenomic data and Micro-C interactions, complemented with renal-specific quantitative trait loci, to predict enhancer-gene relationships. Our analyses implicate variation in hypoxia sensing, cell cycle regulation, and telomerase maintenance pathways as central mediators of ccRCC risk. These findings provide new insights into the molecular basis of ccRCC susceptibility and highlight potential therapeutic avenues for prevention and treatment.

Indexed as

Carcinoma, Renal CellGenetic Predisposition to DiseaseKidney NeoplasmsGenome-Wide Association StudyHumansPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID41326661
PMCPMC12780051

What OpenQuestion holds

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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.