Evidence map›Paper›PMID 28815929›Full record

ArticleHuman mutation2017

Aggregation of population-based genetic variation over protein domain homologues and its potential use in genetic diagnostics.

Laurens Wiel, Hanka Venselaar, Joris A Veltman, Gert Vriend, Christian Gilissen

Open access · hybridAbstract read
In one paragraph

Article in Human mutation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
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  6. Genetic variants inmedRxiv : the preprint server for health sciences · 2023
    Article
  7. Article
  8. Review
  9. Biomolecules · 2023
    Article
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  11. 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

5 authors at 1 institution in 3 countries.

Laurens WielDepartment of Human Genetics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, GA, 6525, The Netherlands.ORCID 0000-0003-3410-760X
Hanka VenselaarCentre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, GA, 6525, The Netherlands.ORCID 0000-0001-9824-6559
Joris A VeltmanDepartment of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, GA, 6525, The Netherlands.ORCID 0000-0002-3218-8250
Gert VriendCentre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, GA, 6525, The Netherlands.
Christian GilissenDepartment of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, GA, 6525, The Netherlands.ORCID 0000-0003-1693-9699
Radboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole exomes of patients with a genetic disorder are nowadays routinely sequenced but interpretation of the identified genetic variants remains a major challenge. The increased availability of population-based human genetic variation has given rise to measures of genetic tolerance that have been used, for example, to predict disease-causing genes in neurodevelopmental disorders. Here, we investigated whether combining variant information from homologous protein domains can improve variant interpretation. For this purpose, we developed a framework that maps population variation and known pathogenic mutations onto 2,750 "meta-domains." These meta-domains consist of 30,853 homologous Pfam protein domain instances that cover 36% of all human protein coding sequences. We find that genetic tolerance is consistent across protein domain homologues, and that patterns of genetic tolerance faithfully mimic patterns of evolutionary conservation. Furthermore, for a significant fraction (68%) of the meta-domains high-frequency population variation re-occurs at the same positions across domain homologues more often than expected. In addition, we observe that the presence of pathogenic missense variants at an aligned homologous domain position is often paired with the absence of population variation and vice versa. The use of these meta-domains can improve the interpretation of genetic variation.

Indexed as

Genetics, PopulationGenetic TestingGenetic VariationAdaptation, BiologicalChromosome MappingComputational BiologyConserved SequenceEvolution, MolecularExomeExome SequencingGene OntologyGenomicsGenotypeHumansProtein Domainsevolutionary conservationExACfunctional variationgenetic toleranceHGMDmeta-domainspathogenicityPfamprotein domain homologyvariant interpretation

Identifiers

PMID28815929
PMCPMC5656839
OpenAlexW2749031323

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.