Evidence map›Paper›PMID 25261458›Full record

ArticleMolecular systems biology2014

The role of the interactome in the maintenance of deleterious variability in human populations.

Luz Garcia-Alonso, Jorge Jiménez-Almazán, Jose Carbonell-Caballero, Alicia Vela-Boza, Javier Santoyo-López, Guillermo Antiñolo, Joaquin Dopazo

Open access · goldAbstract read
In one paragraph

Article in Molecular systems biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 32 citations in OpenAlex.

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  6. Integrating molecular networks with genetic variant interpretation for precision medicine.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Luz Garcia-AlonsoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Jorge Jiménez-AlmazánComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain Bioinformatics of Rare Diseases (BIER), CIBER de Enfermedades Raras (CIBERER), Valencia, Spain.
Jose Carbonell-CaballeroComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Alicia Vela-BozaMedical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA), Seville, Spain.
Javier Santoyo-LópezMedical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA), Seville, Spain.
Guillermo AntiñoloMedical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA), Seville, Spain Department of Genetics, Reproduction and Fetal Medicine, Institute of Biomedicine of Seville, University Hospital Virgen del Rocio/Consejo Superior de Investigaciones Científicas/University of Seville, Seville, Spain Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Seville, Spain.
Joaquin DopazoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain Bioinformatics of Rare Diseases (BIER), CIBER de Enfermedades Raras (CIBERER), Valencia, Spain Medical Genome Project, Genomics and Bioinformatics Platform of Andalusia (GBPA), Seville, Spain Functional Genomics Node, (INB) at CIPF, Valencia, Spain jdopazo@cipf.es.ORCID http://orcid.org/0000-0003-3318-120X
Centre for Biomedical Network Research on Rare Diseases · ESCentro de Investigacion Principe Felipe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent genomic projects have revealed the existence of an unexpectedly large amount of deleterious variability in the human genome. Several hypotheses have been proposed to explain such an apparently high mutational load. However, the mechanisms by which deleterious mutations in some genes cause a pathological effect but are apparently innocuous in other genes remain largely unknown. This study searched for deleterious variants in the 1,000 genomes populations, as well as in a newly sequenced population of 252 healthy Spanish individuals. In addition, variants causative of monogenic diseases and somatic variants from 41 chronic lymphocytic leukaemia patients were analysed. The deleterious variants found were analysed in the context of the interactome to understand the role of network topology in the maintenance of the observed mutational load. Our results suggest that one of the mechanisms whereby the effect of these deleterious variants on the phenotype is suppressed could be related to the configuration of the protein interaction network. Most of the deleterious variants observed in healthy individuals are concentrated in peripheral regions of the interactome, in combinations that preserve their connectivity, and have a marginal effect on interactome integrity. On the contrary, likely pathogenic cancer somatic deleterious variants tend to occur in internal regions of the interactome, often with associated structural consequences. Finally, variants causative of monogenic diseases seem to occupy an intermediate position. Our observations suggest that the real pathological potential of a variant might be more a systems property rather than an intrinsic property of individual proteins.

Indexed as

Genetics, PopulationGenetic VariationGenome, HumanProtein Interaction MapsAllelesExomeGene LibraryGenomicsHumansModels, GeneticMutationPhenotypeProtein ConformationSequence Analysis, DNAWhite Peopleexome sequencinginteractomemutational loadnetwork analysisrobustness

Identifiers

PMID25261458
PMCPMC4299661
OpenAlexW2142183730

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.