Evidence map›Paper›PMID 41943802›Full record

ArticleBioinformatics advances2026

Deciphering

Simone G Riva, Edward Sanders, Emily Georgiades, Samvida S Venkatesh, Martin Sergeant, Emine Ravza Gür, Jennifer C Herrmann, Matthew Baxter, Jim R Hughes

Abstract read
In one paragraph

Article in Bioinformatics advances, 2026. 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. 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

9 authors.

Simone G RivaMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0002-4400-9328
Edward SandersMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0003-2025-7324
Emily GeorgiadesMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0001-6356-0003
Samvida S VenkateshMRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.
Martin SergeantMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0001-7264-2668
Emine Ravza GürMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0003-4738-6716
Jennifer C HerrmannMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0001-9353-0657
Matthew BaxterMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0002-3393-0824
Jim R HughesMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, OX3 9DS, United Kingdom.ORCID https://orcid.org/0000-0002-8955-7256

Funding

Wellcome Trust
6 · The paper itself

Abstract

Summary: Genome-wide association studies have revealed that many disease-associated genetic variants lie in non-coding regions of the genome. To prioritize these variants and clarify their functional roles, accurate classification of Availability and implementation: REgulamentary is implemented in Python with a Snakemake-based workflow for reproducible analysis, integrating standard bioinformatics tools. The software is available at: https://github.com/Genome-Function-Initiative-Oxford/REgulamentary.

Identifiers

PMID41943802
PMCPMC13050536

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.