• Combining genetic and behavior...

Treffer: Combining genetic and behavioral predictors of 11-year language outcome.

Title:
Combining genetic and behavioral predictors of 11-year language outcome.
Authors:
Gasparini L; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; Department of Paediatrics, The University of Melbourne, Parkville 3052, VIC, Australia. Electronic address: loretta.gasparini@mcri.edu.au., Shepherd DA; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; Department of Paediatrics, The University of Melbourne, Parkville 3052, VIC, Australia., Lange K; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; Department of Paediatrics, The University of Melbourne, Parkville 3052, VIC, Australia., Wang J; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; Department of Paediatrics, The University of Melbourne, Parkville 3052, VIC, Australia., Verhoef E; Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands., Bavin EL; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; School of Psychology and Public Health, La Trobe University, Bundoora, Australia., Reilly S; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; Department of Paediatrics, The University of Melbourne, Parkville 3052, VIC, Australia; Health Group, Griffith University, Gold Coast, Australia., St Pourcain B; Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands., Wake M; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; Department of Paediatrics, The University of Melbourne, Parkville 3052, VIC, Australia; Liggins Institute, The University of Auckland, Grafton, Auckland 1023, New Zealand., Morgan AT; Murdoch Children's Research Institute, Royal Children's Hospital, 50 Flemington Rd, Parkville 3052, VIC, Australia; Department of Audiology and Speech Pathology, The University of Melbourne, Parkville 3052, VIC, Australia; Royal Children's Hospital Melbourne, 50 Flemington Rd, Parkville 3052, VIC, Australia.
Source:
Psychiatry research [Psychiatry Res] 2025 Dec; Vol. 354, pp. 116826. Date of Electronic Publication: 2025 Nov 07.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Elsevier/North-Holland Biomedical Press Country of Publication: Ireland NLM ID: 7911385 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7123 (Electronic) Linking ISSN: 01651781 NLM ISO Abbreviation: Psychiatry Res Subsets: MEDLINE
Imprint Name(s):
Publication: Limerick : Elsevier/North-Holland Biomedical Press
Original Publication: Amsterdam, Elsevier/North-Holland Biomedical Press.
MeSH Terms:
Language Development Disorders*/genetics , Language Development Disorders*/diagnosis , Vocabulary* , Language Development*, Humans ; Male ; Female ; Longitudinal Studies ; Child, Preschool ; Infant ; Australia ; Multifactorial Inheritance ; Language Tests
Contributed Indexing:
Keywords: Genetics; Language development; Language disorders; Longitudinal studies; Machine learning; Polygenic score; Sensitivity and specificity
Entry Date(s):
Date Created: 20251114 Date Completed: 20251120 Latest Revision: 20251209
Update Code:
20251209
DOI:
10.1016/j.psychres.2025.116826
PMID:
41237490
Database:
MEDLINE

Weitere Informationen

Background: Rapid population-level identification of language disorders could help provide care to young children to improve their outcomes. Two previous studies identified and replicated up to six parent-reported items that predicted 11-year language outcome with ≥71 % sensitivity and specificity. Here, we assess whether including genetic propensity for toddlerhood vocabulary improves predictive accuracy.
Method: The Early Language in Victoria Study (ELVS) recruited 1910 8-month-olds in Melbourne in 2003-2004. The Longitudinal Study of Australian Children (LSAC) recruited 5107 0-1-year-olds across Australia in 2004. Both collected parent-reported items at 2-3 years, a comparable 11-year language outcome: the Clinical Evaluation of Language Fundamentals (CELF-4) Core Language score or Recalling Sentences subtest, and biospecimens for genotyping. We derived polygenic scores capturing participants' genetic propensity for parent-reported 24-38-month vocabulary. We calculated univariate associations with continuous language outcomes. We used ensemble method SuperLearner to estimate how accurately the parent-reported predictors and polygenic scores predict low 11-year language outcome (>1.5 standard deviations below the mean) in each cohort.
Results: Language outcome was available for 839 ELVS and 1441 LSAC participants. Polygenic scores accounted for little variance in continuous language outcomes (R <sup>2</sup> < 1.3 %). Adding polygenic scores to the predictor sets increased accuracy of predicting language outcome by up to 7 %, but inconsistently between analyses.
Conclusions: Polygenic scores derived for toddlerhood vocabulary did not meaningfully improve predictive accuracy of individuals' language outcome when added to the phenotypic predictor set. Presently, parent-reported measures or clinician observation appear best for predicting language outcome at this age.
(Copyright © 2025 The Author(s). Published by Elsevier B.V. All rights reserved.)

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.