Evidence map›Paper›PMID 28945736›Full record

ArticlePLoS genetics2017

Rapid functional analysis of computationally complex rare human IRF6 gene variants using a novel zebrafish model.

Edward B Li, Dawn Truong, Shawn A Hallett, Kusumika Mukherjee, Brian C Schutte, Eric C Liao

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Genetic variant classification by predicted protein structure: A case study on IRF6.Computational and structural biotechnology journal · 2024
    Article
  7. Article
  8. Functional analysis ofbioRxiv : the preprint server for biology · 2024
    Article
  9. Neural crest and periderm-specific requirements ofbioRxiv : the preprint server for biology · 2024
    Article
  10. A Variant in theJournal of dental research · 2023
    Article
  11. Review
  12. AnDevelopment (Cambridge, England) · 2020
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Exon sequencing reveals that missense mutation ofInternational journal of clinical and experimental pathology · 2019
    Article
  20. Genetic Requirement ofPlastic and reconstructive surgery. Global open · 2018
    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

6 authors at 2 institutions in 1 country.

Edward B LiCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID http://orcid.org/0000-0002-0402-665X
Dawn TruongCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Shawn A HallettCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Kusumika MukherjeeCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Brian C SchutteDepartments of Microbiology and Molecular Genetics, and Pediatrics and Human Development, Michigan State University, East Lansing, Michigan, United States of America.
Eric C LiaoCenter for Regenerative Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America.
Harvard University · USMichigan United · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale sequencing efforts have captured a rapidly growing catalogue of genetic variations. However, the accurate establishment of gene variant pathogenicity remains a central challenge in translating personal genomics information to clinical decisions. Interferon Regulatory Factor 6 (IRF6) gene variants are significant genetic contributors to orofacial clefts. Although approximately three hundred IRF6 gene variants have been documented, their effects on protein functions remain difficult to interpret. Here, we demonstrate the protein functions of human IRF6 missense gene variants could be rapidly assessed in detail by their abilities to rescue the irf6 -/- phenotype in zebrafish through variant mRNA microinjections at the one-cell stage. The results revealed many missense variants previously predicted by traditional statistical and computational tools to be loss-of-function and pathogenic retained partial or full protein function and rescued the zebrafish irf6 -/- periderm rupture phenotype. Through mRNA dosage titration and analysis of the Exome Aggregation Consortium (ExAC) database, IRF6 missense variants were grouped by their abilities to rescue at various dosages into three functional categories: wild type function, reduced function, and complete loss-of-function. This sensitive and specific biological assay was able to address the nuanced functional significances of IRF6 missense gene variants and overcome many limitations faced by current statistical and computational tools in assigning variant protein function and pathogenicity. Furthermore, it unlocked the possibility for characterizing yet undiscovered human IRF6 missense gene variants from orofacial cleft patients, and illustrated a generalizable functional genomics paradigm in personalized medicine.

Indexed as

AnimalsAnimals, Genetically ModifiedCleft PalateDisease Models, AnimalHumansInterferon Regulatory FactorsMutation, MissensePhenotypeRNA, MessengerZebrafish ProteinsInterferon Regulatory FactorsIRF6 protein, humanIRF6 protein, zebrafishRNA, MessengerZebrafish Proteins

Identifiers

PMID28945736
PMCPMC5628943
OpenAlexW2757745198

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.