MétaCan
Menu
Back to cohort
Record W4403731707 · doi:10.1038/s41431-024-01701-z

BCL11A intellectual developmental disorder: defining the clinical spectrum and genotype-phenotype correlations

2024· article· en· W4403731707 on OpenAlexaff
Angela Peron, Felice D’Arco, Kimberly A. Aldinger, Constance Smith‐Hicks, Christiane Zweier, Gyri Aasland Gradek, Kimberley Bradbury, Andrea Accogli, Erica Andersen, Ping Yee Billie Au, Roberta Battini, Daniah Beleford, Lynne M. Bird, Arjan Bouman, Ange‐Line Bruel, Øyvind L. Busk, Philippe M. Campeau, Colleen M. Carlston, Jenny Carmichael, Anna Chassevent, Jill Clayton‐Smith, Michael J. Bamshad, Dawn Earl, Laurence Faivre, Christophe Philippe, Patrick Ferreira, Luitgard Graul‐Neumann, Mary J. Green, Darrah Haffner, Parthiv Haldipur, Suhair Hanna, Gunnar Houge, Wendy D. Jones, Cornelia Kraus, Birgit Elisabeth Kristiansen, James Lespinasse, Karen Low, Sally Ann Lynch, Sofia Maia, Rong Mao, Ruta Kalinauskiene, Catherine Melver, Kimberly S. McDonald, Tara Montgomery, Manuela Morleo, Constance Motter, Amanda Openshaw, Janice C. Palumbos, Aditi Shah Parikh, Yezmin Perilla‐Young, Cynthia M. Powell, Richard Person, Megha Desai, Juliette Piard, Rolph Pfundt, Marcello Scala, Margaux Serey‐Gaut, Deborah Shears, Anne Slavotinek, Mohnish Suri, Claire Turner, Tatiana Tvrdik, Karin Weiss, Ingrid M. Wentzensen, Marcella Zollino, Tzung‐Chien Hsieh, Keri Ramsey, Bert B.A. de Vries, François Guillemot, William B. Dobyns, David Viskochil, Cristina Dias

Bibliographic record

VenueEuropean Journal of Human Genetics · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineAlberta Children's HospitalUniversité de MontréalUniversity of Calgary
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Cancer InstituteNational Center for Advancing Translational SciencesWellcome TrustNational Human Genome Research InstituteNational Institute for Health and Care ResearchMedical Research CouncilChildren’s Hospital of Wisconsin Research InstituteCenter for Mendelian Genomics, University of WashingtonFrancis Crick InstituteSeattle Children's Research InstituteUniversity of WashingtonNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsMicrocephalyHypotoniaIntellectual disabilityFrameshift mutationCohortGeneticsAutism spectrum disorderBiologyNeurodevelopmental disorderPhenotypeMedicineAutismInternal medicineGenePsychiatry

Abstract

fetched live from OpenAlex

An increasing number of individuals with intellectual developmental disorder (IDD) and heterozygous variants in BCL11A are identified, yet our knowledge of manifestations and mutational spectrum is lacking. To address this, we performed detailed analysis of 42 individuals with BCL11A-related IDD (BCL11A-IDD, a.k.a. Dias-Logan syndrome) ascertained through an international collaborative network, and reviewed 35 additional previously reported patients. Analysis of 77 affected individuals identified 60 unique disease-causing variants (30 frameshift, 7 missense, 6 splice-site, 17 stop-gain) and 8 unique BCL11A microdeletions. We define the most prevalent features of BCL11A-IDD: IDD, postnatal-onset microcephaly, hypotonia, behavioral abnormalities, autism spectrum disorder, and persistence of fetal hemoglobin (HbF), and identify autonomic dysregulation as new feature. BCL11A-IDD is distinguished from 2p16 microdeletion syndrome, which has a higher incidence of congenital anomalies. Our results underscore BCL11A as an important transcription factor in human hindbrain development, identifying a previously underrecognized phenotype of a small brainstem with a reduced pons/medulla ratio. Genotype-phenotype correlation revealed an isoform-dependent trend in severity of truncating variants: those affecting all isoforms are associated with higher frequency of hypotonia, and those affecting the long (BCL11A-L) and extra-long (-XL) isoforms, sparing the short (-S), are associated with higher frequency of postnatal microcephaly. With the largest international cohort to date, this study highlights persistence of fetal hemoglobin as a consistent biomarker and hindbrain abnormalities as a common feature. It contributes significantly to our understanding of BCL11A-IDD through an extensive unbiased multi-center assessment, providing valuable insights for diagnosis, management and counselling, and into BCL11A's role in brain 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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.640
Threshold uncertainty score0.327

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 studies0.0000.000
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 head0.018
GPT teacher head0.261
Teacher spread0.243 · 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 designNot applicable
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

Citations16
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of Human GeneticsSame topicGenomic variations and chromosomal abnormalitiesFrench-language works237,207