Evidence map›Paper›PMID 41215709›Full record

ArticleProteins2026

Proteome-Wide Analysis of Human Deletions.

Haoyang Zhang, Xinning Luan, Mauno Vihinen

Abstract read
In one paragraph

Article in Proteins, 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

3 authors.

Haoyang ZhangDepartment of Experimental Medical Science, BMC B13, Lund University, Lund, Sweden.ORCID 0000-0002-6937-7936
Xinning LuanDepartment of Experimental Medical Science, BMC B13, Lund University, Lund, Sweden.
Mauno VihinenDepartment of Experimental Medical Science, BMC B13, Lund University, Lund, Sweden.ORCID 0000-0002-9614-7976

Funding

Vetenskapsrådet
6 · The paper itself

Abstract

Protein deletions are frequent among both natural and pathogenic variations. Many of them are misclassified in variation databases and the literature. Nonsense-mediated decay prevents the expression of many nucleotide deletions. Many variants classified as protein deletions are not expressed at all. We conducted an exhaustive systematic analysis of three types of deletions: N- and C-terminal deletions, as well as internal deletions within protein sequences. In addition, we compared natural and pathogenic internal deletions. We collected an extensive dataset of reliable deletions in many proteins and then performed extensive statistical analyses to investigate properties of deletions and proteins that contain them. We studied the properties of protein deletions, including deletion length and position, amino acid composition, flanking amino acid sequence context, the functions and properties of deletion-containing proteins, the functional roles of the deleted regions, the positioning within protein domains and protein structure, as well as sequence conservation and involvement in protein-protein interaction networks. We found several statistically significant differences between the deletion types and between benign and pathogenic deletions. The obtained insight can be used, for example, for variation interpretation, prediction method development, and analysis of variation mechanisms and effects.

Indexed as

ProteinsProteomeSequence DeletionAmino Acid SequenceDatabases, ProteinHumansProtein Interaction MapsProteinsProteomeinternal deletionprotein deletionsequence analysisstructural analysisterminal deletionvariation interpretation

Identifiers

PMID41215709
PMCPMC12865260

What OpenQuestion holds

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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 OpenQuestion graph.