Evidence mapPaperPMID 41724774Full record

ArticleScientific reports2026

Decoding the dark genome reveals its organisation into modular disease networks.

Doris Kafita, Kevin Dzobo, Panji Nkhoma, Musalula Sinkala

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Doris KafitaSchool of Health Sciences, Department of Biomedical Sciences, University of Zambia, Lusaka, Zambia.
Kevin DzoboMedical Research Council-SA Wound Healing Unit, Hair and Skin Research Laboratory, Division of Dermatology, Department of Medicine, Groote Schuur Hospital, Faculty of Health Sciences, University of Cape Town, Anzio Road, Observatory, Cape Town, 7925, South Africa.
Panji NkhomaSchool of Health Sciences, Department of Biomedical Sciences, University of Zambia, Lusaka, Zambia.
Musalula SinkalaSchool of Health Sciences, Department of Biomedical Sciences, University of Zambia, Lusaka, Zambia. smsinks@icloud.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biological functions and disease relevance of the 'dark genome'-over one-third of all protein-coding genes-remain largely unknown. Here, we use integrative network and functional analyses to construct a systems-level map of dark gene contributions to human genetic diseases. We identify 16 hub dark genes, including R3HDM2 and RPUSD4, that are central to disease networks and are overwhelmingly enriched for roles in mitochondrial protein synthesis. These hubs form modular networks connecting major inflammatory conditions like psoriasis and tuberculosis, driven by specific transcription factors. Furthermore, we demonstrate that the expression of these hubs is controlled in a tissue-specific manner by thousands of genetic variants (eQTLs), providing direct mechanistic links to phenotypes such as myocardial infarction and diabetes. Our results provide a functional landscape for the dark genome, revealing its critical role in mitochondrial pathways and presenting a rich resource of novel therapeutic targets.

Indexed as

Gene Regulatory NetworksGenetic Predisposition to DiseaseGenome, HumanHumansMitochondriaQuantitative Trait LocieQTLsHuman DiseasomeMitochondrial FunctionNetwork AnalysisThe Dark Genome

Identifiers

PMID41724774
PMCPMC13022316

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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.