Evidence map›Paper›PMID 25611800›Full record

ArticlePLoS genetics2015

Evolutionary constraint and disease associations of post-translational modification sites in human genomes.

Jüri Reimand, Omar Wagih, Gary D Bader

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

36 citing papers in PubMed, 73 citations in OpenAlex.

  1. An interpretable molecular framework for predicting cancer driver missense mutations.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Post-translational Modifications in Brain Diseases: A Future for Biomarkers.Advances in experimental medicine and biology · 2022
    Article
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  15. Comprehensive characterization of amino acid positions in protein structures reveals molecular effect of missense variants.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
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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

3 authors at 1 institution in 1 country.

Jüri ReimandThe Donnelly Centre, University of Toronto, Canada.
Omar WagihThe Donnelly Centre, University of Toronto, Canada.
Gary D BaderThe Donnelly Centre, University of Toronto, Canada.
University of Toronto · CA

Funding

TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BADER, GARY D. · 2012 to 2024
$17.3M
Canadian Institutes of Health Research MOP-84324NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

Interpreting the impact of human genome variation on phenotype is challenging. The functional effect of protein-coding variants is often predicted using sequence conservation and population frequency data, however other factors are likely relevant. We hypothesized that variants in protein post-translational modification (PTM) sites contribute to phenotype variation and disease. We analyzed fraction of rare variants and non-synonymous to synonymous variant ratio (Ka/Ks) in 7,500 human genomes and found a significant negative selection signal in PTM regions independent of six factors, including conservation, codon usage, and GC-content, that is widely distributed across tissue-specific genes and function classes. PTM regions are also enriched in known disease mutations, suggesting that PTM variation is more likely deleterious. PTM constraint also affects flanking sequence around modified residues and increases around clustered sites, indicating presence of functionally important short linear motifs. Using target site motifs of 124 kinases, we predict that at least ∼180,000 motif-breaker amino acid residues that disrupt PTM sites when substituted, and highlight kinase motifs that show specific negative selection and enrichment of disease mutations. We provide this dataset with corresponding hypothesized mechanisms as a community resource. As an example of our integrative approach, we propose that PTPN11 variants in Noonan syndrome aberrantly activate the protein by disrupting an uncharacterized cluster of phosphorylation sites. Further, as PTMs are molecular switches that are modulated by drugs, we study mutated binding sites of PTM enzymes in disease genes and define a drug-disease network containing 413 novel predicted disease-gene links.

Indexed as

Genome, HumanBase CompositionBinding SitesCodonConserved SequenceHumansNoonan SyndromeProtein Processing, Post-TranslationalProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 11Selection, GeneticCodonProteinsProtein Tyrosine Phosphatase, Non-Receptor Type 11PTPN11 protein, human

Identifiers

PMID25611800
PMCPMC4303425
OpenAlexW2083308064

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.