MétaCan
Menu
Back to cohort
Record W2612348400 · doi:10.14288/1.0340922

Detailed phenotyping and next-generation sequencing for characterization of rare overgrowth syndromes

2017· article· en· W2612348400 on OpenAlexaff
Ana Sequerra Amram Cohen

Bibliographic record

VenueOpen Collections · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDNA sequencingComputer scienceComputational biologyMedicineBiologyGeneticsGene

Abstract

fetched live from OpenAlex

Weaver syndrome (WS) is a rare overgrowth disorder characterized by tall stature, macrocephaly, advanced bone age, facial dysmorphism, intellectual disability and cancer susceptibility, and it is caused by constitutional mutations in the enhancer of zeste homolog 2 gene (EZH2). To expand our understanding of WS pathogenesis, we assembled a cohort of 66 individuals with Weaver-like features, and collected DNA together with detailed clinical information. Sanger sequencing identified eleven individuals with pathogenic mutations in EZH2 (equivalent to a 17% diagnostic rate). A further seven individuals carried mutations in the nuclear receptor-binding SET domain-containing protein 1 gene (NSD1), which cause a similar overgrowth disorder called Sotos syndrome (11% diagnostic rate). Furthermore, we expanded the phenotypic spectrum of WS to include neuronal migration disorders. EZH2 is a histone methyltransferase that acts as the catalytic agent of the Polycomb Repressive Complex 2 (PRC2) to maintain gene repression via methylation of lysine 27 on histone H3 (H3K27). Functional studies investigating the activity of mutant EZH2 from various cancers showed that both gain- and loss-of-function mechanisms exist, thus it was important to determine which mechanism is causing WS. Using a standard histone methyltransferase assay, we observed that WS-associated EZH2 mutations impair PRC2’s histone methyltransferase activity in vitro, suggesting a loss-of-function mechanism of disease. In addition, no correlation between degree of functional impairment and phenotypic severity was noted. Recognizing a clear role for chromatin modifications in the molecular pathophysiology of overgrowth syndromes, we hypothesized that mutations in other chromatin regulators might explain the phenotype observed in the remaining undiagnosed individuals. Using next-generation sequencing in combination with detailed phenotyping, we identified EED as a novel overgrowth gene. EED happens to be the main partner of EZH2 within PRC2, and is necessary for proper H3K27 methylation to occur. Altogether, we have expanded the phenotypic and mutational spectrums of WS, and begun to uncover the underlying mechanism of disease. We also discovered a novel overgrowth gene, EED, reinforcing a role for PRC2 in the regulation of human growth and development.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.277
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueOpen CollectionsSame topicGenetic Syndromes and ImprintingFrench-language works237,207