Evidence map›Paper›PMID 37821946›Full record

ArticleGenome medicine2023

Global analysis of suppressor mutations that rescue human genetic defects.

Betül Ünlü, Carles Pons, Uyen Linh Ho, Amandine Batté, Patrick Aloy, Jolanda van Leeuwen

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Betül Ünlü *Center for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-5587-4176
Carles Pons *Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Uyen Linh HoCenter for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland.
Amandine BattéCenter for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland.
Patrick AloyInstitute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Jolanda van LeeuwenCenter for Integrative Genomics, University of Lausanne, Génopode Building, 1015, Lausanne, Switzerland. jolanda.vanleeuwen@unil.ch.ORCID http://orcid.org/0000-0003-3991-518X
University of Lausanne · CHInstitució Catalana de Recerca i Estudis Avançats · ESInstitute for Research in Biomedicine · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGenetic suppression occurs when the deleterious effects of a primary "query" mutation, such as a disease-causing mutation, are rescued by a suppressor mutation elsewhere in the genome.

methodsTo capture existing knowledge on suppression relationships between human genes, we examined 2,400 published papers for potential interactions identified through either genetic modification of cultured human cells or through association studies in patients.

resultsThe resulting network encompassed 476 unique suppression interactions covering a wide spectrum of diseases and biological functions. The interactions frequently linked genes that operate in the same biological process. Suppressors were strongly enriched for genes with a role in stress response or signaling, suggesting that deleterious mutations can often be buffered by modulating signaling cascades or immune responses. Suppressor mutations tended to be deleterious when they occurred in absence of the query mutation, in apparent contrast with their protective role in the presence of the query. We formulated and quantified mechanisms of genetic suppression that could explain 71% of interactions and provided mechanistic insight into disease pathology. Finally, we used these observations to predict suppressor genes in the human genome.

conclusionsThe global suppression network allowed us to define principles of genetic suppression that were conserved across diseases, model systems, and species. The emerging frequency of suppression interactions among human genes and range of underlying mechanisms, together with the prevalence of suppression in model organisms, suggest that compensatory mutations may exist for most genetic diseases.

Indexed as

Genome, HumanSuppression, GeneticHuman GeneticsHumansModels, BiologicalMutation

Identifiers

PMID37821946
PMCPMC10568808
OpenAlexW4387541628

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.