RESUMEN
Introduction: Developmental language disorder (DLD) is a common childhood condition negatively influencing communication and psychosocial development. An increasing number of pathogenic variants or chromosomal anomalies possibly related to DLD have been identified. To provide a base for accurate clinical genetic diagnostic work-up for DLD patients, understanding the specific genetic background is crucial. This study aims to give a systematic literature overview of pathogenic variants or chromosomal anomalies causative for DLD in children. Methods: We conducted a systematic search in PubMed and Embase on available literature related to the genetic background of diagnosed DLD in children. Included papers were critically appraised before data extraction. An additional search in OMIM was performed to see if the described DLD genes are associated with a broader clinical spectrum. Results: The search resulted in 15,842 papers. After assessing eligibility, 47 studies remained, of which 25 studies related to sex chromosome aneuploidies and 15 papers concerned other chromosomal anomalies (SCAs) and/or Copy Number Variants (CNVs), including del15q13.1-13.3 and del16p11.2. The remaining 7 studies displayed a variety of gene variants. 45 (candidate) genes related to language development, including FOXP2, GRIN2A, ERC1, and ATP2C2. After an additional search in the OMIM database, 22 of these genes were associated with a genetic disorder with a broader clinical spectrum, including intellectual disability, epilepsy, and/or autism. Conclusion: Our study illustrates that DLD can be related to SCAs and specific CNV's. The reported (candidate) genes (n = 45) in the latter category reflect the genetic heterogeneity and support DLD without any comorbidities and syndromic language disorder have an overlapping genetic etiology.
RESUMEN
Objective: Developmental language delay (DLD) is one of the most common disabilities in childhood and can negatively affect a child's communication skills and academic and/or psychosocial development. To date, an increasing number of causative genes have been identified by diagnostic techniques like next generation sequencing. An early genetic diagnosis is important to properly prepare and counsel children and parents for possible future difficulties. Despite this, genetic assessment is usually not part of a standardized diagnostic set in children with developmental language delay. In this study, we aim to assess the diagnostic outcomes of children primarily assessed for speech and language delay who were subsequently referred for genetic etiological assessment. Methods: Medical records of children referred to the department of Otorhinolaryngology of the Wilhelmina Children's Hospital for diagnostic work-up for a suspected speech and language delay between June 2011 and December 2018 who were additionally referred to a geneticist were evaluated. Study parameters concerning medical history, behavioral problems, language development, intelligence, and hearing were recorded. Outcomes of genetic analysis were evaluated. Results: A total of 127 patients were diagnosed with a developmental language delay. Genetic analysis was conducted in 119 out of 127 patients with a language delay and eligible for this study. The median time between initial speech and language assessment and the first genetic consultation was 10 months (IQR 5.0-23.0). In 34 out of 127 patients a causative genetic diagnosis was found to explain their DLD. Conclusion: In approximately a quarter of the patients (26.8%) diagnosed with developmental language delay, a causative genetic diagnosis was confirmed. This demonstrates the opportunity to identify an underlying genetic etiology in children with developmental language delay. However, in order to optimize the diagnostic process and clinical care for these children, two important research gaps need to be addressed. First, research should focus on assessing the clinical impact and effect on treatment outcomes of a genetic diagnosis. Secondly, it is important to recognize for which children genetic testing is most beneficial.