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Record W2805234304 · doi:10.1016/j.ajhg.2018.04.014

De Novo and Inherited Loss-of-Function Variants in TLK2: Clinical and Genotype-Phenotype Evaluation of a Distinct Neurodevelopmental Disorder

2018· article· en· W2805234304 on OpenAlexaff
Margot R.F. Reijnders, Kerry A. Miller, Mohsan Alvi, Jacqueline A.C. Goos, Melissa Lees, Anna de Burca, Alex Henderson, Alison Kraus, Barbara Mikat, Bert B.A. de Vries, Bertrand Isidor, Bronwyn Kerr, Carlo Marcelis, Caroline Schluth‐Bolard, Charu Deshpande, Claudia Ruivenkamp, Dagmar Wieczorek, Diana Baralle, Edward Blair, Hartmut Engels, Hermann‐Josef Lüdecke, Jacqueline Eason, Gijs W.E. Santen, Jill Clayton‐Smith, Kate Chandler, Katrina Tatton‐Brown, Katelyn Payne, Katherine L. Helbig, Kelly Radtke, Kimberly Nugent, Kirsten Cremer, Tim M. Strom, Lynne M. Bird, Margje Sinnema, Maria Bitner‐Glindzicz, Marieke F. van Dooren, Mariëlle Alders, Lauren Brick, Mariya Kozenko, Megan L. Harline, Merel Klaassens, Michelle Steinraths, Nicola Cooper, Patrick Edery, Patrick Yap, Paulien A. Terhal, Peter J. van der Spek, Phillis Lakeman, Rachel L. Taylor, Rebecca O. Littlejohn, Rolph Pfundt, Saadet Mercimek‐Andrews, Alexander P.A. Stegmann, Sarina G. Kant, Scott McLean, Shelagh Joss, Sigrid M. A. Swagemakers, Sofia Douzgou, Steven A. Wall, Sébastien Küry, Eduardo Calpena, Nils Koelling, Simon J. McGowan, Stephen R.F. Twigg, Irene M.J. Mathijssen, Christoffer Nellåker, Han G. Brunner, Andrew O.M. Wilkie

Bibliographic record

VenueThe American Journal of Human Genetics · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsHospital for Sick ChildrenUniversity of British ColumbiaUniversity of TorontoMcMaster UniversityMcMaster Children's Hospital
FundersCHIST-ERADirection Générale de l’offre de SoinsMinistère des Affaires Sociales et de la SantéAgence Nationale de la RechercheEngineering and Physical Sciences Research CouncilNational Institute for Health and Care ResearchInnovationsfondenWellcome TrustMedical Research CouncilDepartment of Health and Aged Care, Australian GovernmentWellcome
KeywordsPhenotypeGenotypeGeneticsGenotype-phenotype distinctionLoss functionNeurodevelopmental disorderBiologyFunction (biology)Gene

Abstract

fetched live from OpenAlex

Next-generation sequencing is a powerful tool for the discovery of genes related to neurodevelopmental disorders (NDDs). Here, we report the identification of a distinct syndrome due to de novo or inherited heterozygous mutations in Tousled-like kinase 2 (TLK2) in 38 unrelated individuals and two affected mothers, using whole-exome and whole-genome sequencing technologies, matchmaker databases, and international collaborations. Affected individuals had a consistent phenotype, characterized by mild-borderline neurodevelopmental delay (86%), behavioral disorders (68%), severe gastro-intestinal problems (63%), and facial dysmorphism including blepharophimosis (82%), telecanthus (74%), prominent nasal bridge (68%), broad nasal tip (66%), thin vermilion of the upper lip (62%), and upslanting palpebral fissures (55%). Analysis of cell lines from three affected individuals showed that mutations act through a loss-of-function mechanism in at least two case subjects. Genotype-phenotype analysis and comparison of computationally modeled faces showed that phenotypes of these and other individuals with loss-of-function variants significantly overlapped with phenotypes of individuals with other variant types (missense and C-terminal truncating). This suggests that haploinsufficiency of TLK2 is the most likely underlying disease mechanism, leading to a consistent neurodevelopmental phenotype. This work illustrates the power of international data sharing, by the identification of 40 individuals from 26 different centers in 7 different countries, allowing the identification, clinical delineation, and genotype-phenotype evaluation of a distinct NDD caused by mutations in TLK2.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.324
Teacher spread0.298 · 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 teacher head, 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

Citations50
Published2018
Admission routes1
Has abstractyes

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