Evidence map›Paper›PMID 42631547›Full record

ArticleG3 (Bethesda, Md.)2026

Genomic indicators of gene function: a systematic assessment of the human genome.

Helena B Cooper, Karla E Rojas López, Daniela Schiavinato, Michael A Black, Paul P Gardner

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 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

5 authors.

Helena B CooperDepartment of Biochemistry, Faculty of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.
Karla E Rojas LópezDepartment of Biochemistry, Faculty of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.
Daniela SchiavinatoDepartment of Biochemistry, Faculty of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.ORCID 0009-0008-8115-7494
Michael A BlackDepartment of Biochemistry, Faculty of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.
Paul P GardnerDepartment of Biochemistry, Faculty of Biomedical Sciences, University of Otago, Dunedin 9016, New Zealand.ORCID 0000-0002-7808-1213

Funding

Genomics Aotearoa, and Marsden 19-UOO-040, 20-UOA-282MBIE PROP-61726-ENDSI-PFRMinistry of Business, Innovation and Employment RNA and data science platforms
6 · The paper itself

Abstract

Proteins and non-coding RNAs are functional products of the genome that are central for crucial cellular processes. With recent technological advances, researchers can sequence genomes in the thousands and probe numerous genomic activities of many species and conditions. Such studies have identified thousands of potential proteins, RNAs, and associated activities. However, there are conflicting interpretations of the results and therefore which regions of the genome are "functional." Here we investigate the relative strengths of associations between coding and non-coding gene functionality and genomic features, by comparing reliably annotated functional genes to nongenic regions of the genome. We find that the strongest and most consistent associations between functional genes and genomic features are transcriptional activity and evolutionary conservation. We also evaluated sequence-based statistics, genomic repeats, and epigenetic and population variation data. Other features strongly associated with function include histone marks, chromatin accessibility, genomic copy number, and sequence alignment statistics such as coding potential and covariation. We also identify potential issues with SNP annotations in short non-coding RNAs, as some highly conserved ncRNAs have significantly higher than expected SNP densities. Our results demonstrate the importance of evolutionary conservation and transcription activity for indicating protein-coding and non-coding gene function. Both should be taken into consideration when differentiating between functional sequences and biological or experimental noise.

Indexed as

Genome, HumanGenomicsEpigenesis, GeneticEvolution, MolecularHumansMolecular Sequence AnnotationPolymorphism, Single NucleotideRNA, UntranslatedRNA, Untranslatedcomparative genomicsevolutionary conservationfunctional genomicsgenome annotationhuman genomenon-coding RNARNA biologytranscriptomics

Identifiers

PMID42631547
PMCPMC13643792

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.