Evidence map›Paper›PMID 33564398›Full record

ArticleF1000Research2020

HGNChelper: identification and correction of invalid gene symbols for human and mouse.

Sehyun Oh, Jasmine Abdelnabi, Ragheed Al-Dulaimi, Ayush Aggarwal, Marcel Ramos, Sean Davis, Markus Riester, Levi Waldron

Abstract read
In one paragraph

Article in F1000Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
–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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Promoter Methylation-Expression Coupling of Gliogenesis Genes inInternational journal of molecular sciences · 2026
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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

8 authors.

Sehyun OhEpidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, 10027, USA.
Jasmine AbdelnabiEpidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, 10027, USA.
Ragheed Al-DulaimiEpidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, 10027, USA.
Ayush AggarwalCSIR-Institute of Genomics and Integrative Biology, New Delhi, 110025, India.ORCID https://orcid.org/0000-0002-6587-3393
Marcel RamosEpidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, 10027, USA.
Sean DavisCenter for Cancer Research, National Cancer Institute, Maryland, 20892, USA.ORCID https://orcid.org/0000-0002-8991-6458
Markus RiesterNovartis Institutes for BioMedical Research Incorporation, Massachusetts, 02139, USA.ORCID https://orcid.org/0000-0002-4759-8332
Levi WaldronEpidemiology and Biostatistics, Graduate School of Public Health and Health Policy, City University of New York, New York, 10027, USA.ORCID https://orcid.org/0000-0003-2725-0694

Funding

Cancer Genomics:Integrative and Scalable Solutions in R / BioconductorU24CA180996 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI MORGAN, MARTIN T, WALDRON, LEVI · 2014 to 2023
$6.9M
6 · The paper itself

Abstract

Gene symbols are recognizable identifiers for gene names but are unstable and error-prone due to aliasing, manual entry, and unintentional conversion by spreadsheets to date format. Official gene symbol resources such as HUGO Gene Nomenclature Committee (HGNC) for human genes and the Mouse Genome Informatics project (MGI) for mouse genes provide authoritative sources of valid, aliased, and outdated symbols, but lack a programmatic interface and correction of symbols converted by spreadsheets. We present HGNChelper, an R package that identifies known aliases and outdated gene symbols based on the HGNC human and MGI mouse gene symbol databases, in addition to common mislabeling introduced by spreadsheets, and provides corrections where possible. HGNChelper identified invalid gene symbols in the most recent Molecular Signatures Database (MSigDB 7.0) and in platform annotation files of the Gene Expression Omnibus, with prevalence ranging from ~3% in recent platforms to 30-40% in the earliest platforms from 2002-03. HGNChelper is installable from CRAN.

Indexed as

gene symbolsHGNCMGImolecular biology

Identifiers

PMID33564398
PMCPMC7856679.2

What OpenQuestion holds

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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 OpenQuestion graph.