Evidence map›Paper›PMID 39418585›Full record

ArticleJournal of speech, language, and hearing research : JSLHR2024

Language Profiles of School-Age Children With 16p11.2 Copy Number Variants in a Clinically Ascertained Cohort.

Jente Verbesselt, Jeroen Breckpot, Inge Zink, Ann Swillen

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In one paragraph

Article in Journal of speech, language, and hearing research : JSLHR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jente VerbesseltDepartment of Human Genetics, Catholic University Leuven, Belgium.ORCID 0000-0002-3024-8520
Jeroen BreckpotDepartment of Human Genetics, Catholic University Leuven, Belgium.ORCID 0000-0002-0734-5154
Inge ZinkResearch Group Experimental Oto-Rhino-Laryngology, Department of Neurosciences, Leuven Brain Institute, Catholic University Leuven, Belgium.ORCID 0000-0001-7954-1720
Ann SwillenDepartment of Human Genetics, Catholic University Leuven, Belgium.ORCID 0000-0003-4258-4537

Funding

Dissecting the effects of genomic variants on neurobehavioral dimensions in CNVs enriched for neuropsychiatric disordersU01MH119759 · NIMH · KATHOLIEKE UNIVERSITEIT LEUVEN · PI SWILLEN, ANN · 2019 to 2023
$513k
NIMH NIH HHS U01 MH119759
6 · The paper itself

Abstract

purposeIndividuals with proximal 16p11.2 copy number variants (CNVs), either deletions (16p11.2DS) or duplications (16p11.2Dup), are predisposed to neurodevelopmental difficulties and disorders, such as language disorders, intellectual disability, and autism spectrum disorder. The purpose of the current study was to characterize language profiles of school-age children with proximal 16p11.2 CNVs, in relation to the normative sample and unaffected siblings of children with 16p11.2DS.

methodStandardized language tests were conducted in 33 school-age children with BP4-BP5 16p11.2 CNVs and eight unaffected siblings of children with 16p11.2DS to evaluate language production and comprehension skills across various language domains. A standardized intelligence test was also administered, and parents completed a standardized questionnaire to assess autistic traits. Language profiles were compared across 16p11.2 CNVs and intrafamilial pairs. The influence of nonverbal intelligence and autistic traits on language outcomes was investigated.

resultsNo significant differences were found between children with 16p11.2DS and those with 16p11.2Dup, although both groups exhibited significantly poorer language skills compared to the normative sample and unaffected siblings of children with 16p11.2DS. Severe language deficits were identified in 70% of individuals with 16p11.2 CNVs across all language subdomains, with significantly better receptive vocabulary skills than overall receptive language abilities. In children with 16p11.2DS, expressive language deficits were more pronounced than receptive deficits. In contrast, only in children with 16p11.2Dup did nonverbal intelligence influence their language outcomes.

conclusionsThe current study contributes to the deeper understanding of language profiles in 16p11.2 CNVs in a clinically ascertained cohort, indicating generalized deficits across multiple language domains, rather than a syndrome-specific pattern targeting specific subdomains. The findings underscore the importance of early diagnosis, targeted therapy, and monitoring of language skills in children with 16p11.2 CNVs. SUPPLEMENTAL MATERIAL: https://doi.org/10.23641/asha.27228702.

Indexed as

Chromosomes, Human, Pair 16DNA Copy Number VariationsAdolescentAutism Spectrum DisorderAutistic DisorderChildChromosome DeletionChromosome DisordersCohort StudiesFemaleHumansIntellectual DisabilityIntelligenceLanguage DisordersLanguage TestsMale

Identifiers

PMID39418585
PMCPMC11567083

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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.