Evidence map›Paper›PMID 38308491›Full record

ArticleMolecular oncology2024

Links between melanoma germline risk loci, driver genes and comorbidities: insight from a tissue-specific multi-omic analysis.

Michael Pudjihartono, Evgeniia Golovina, Tayaza Fadason, Justin M O'Sullivan, William Schierding

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2024. 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
1.9field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 4 countries.

Michael PudjihartonoLiggins Institute, The University of Auckland, New Zealand.
Evgeniia GolovinaLiggins Institute, The University of Auckland, New Zealand.
Tayaza FadasonLiggins Institute, The University of Auckland, New Zealand.
Justin M O'SullivanLiggins Institute, The University of Auckland, New Zealand.ORCID 0000-0003-2927-450X
William SchierdingLiggins Institute, The University of Auckland, New Zealand.ORCID 0000-0001-5659-2701
University of Auckland · NZAgency for Science, Technology and Research · SG

Funding

Auckland Medical Research Foundation 1320002Dines Family TrustMarsden Fund 20-UOA-002
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have associated 76 loci with the risk of developing melanoma. However, understanding the molecular basis of such associations has remained a challenge because most of these loci are in non-coding regions of the genome. Here, we integrated data on epigenomic markers, three-dimensional (3D) genome organization, and expression quantitative trait loci (eQTL) from melanoma-relevant tissues and cell types to gain novel insights into the mechanisms underlying melanoma risk. This integrative approach revealed a total of 151 target genes, both near and far away from the risk loci in linear sequence, with known and novel roles in the etiology of melanoma. Using protein-protein interaction networks, we identified proteins that interact-directly or indirectly-with the products of the target genes. The interacting proteins were enriched for known melanoma driver genes. Further integration of these target genes into tissue-specific gene regulatory networks revealed patterns of gene regulation that connect melanoma to its comorbidities. Our study provides novel insights into the biological implications of genetic variants associated with melanoma risk.

Indexed as

Genome-Wide Association StudyMelanomaGenetic Predisposition to DiseaseHumansMultiomicsPolymorphism, Single NucleotideQuantitative Trait Locicomorbidityepigeneticsgene regulationgeneticsmelanoma

Identifiers

PMID38308491
PMCPMC10994230
OpenAlexW4391511752

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.