Evidence map›Paper›PMID 35626763›Full record

ReviewChildren (Basel, Switzerland)2022

The Genetic and Molecular Basis of Developmental Language Disorder: A Review.

Hayley S Mountford, Ruth Braden, Dianne F Newbury, Angela T Morgan

Abstract readReview
In one paragraph

Review in Children (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Translating the Power of Precision Medicine Into the World of Communication Disorders.Journal of speech, language, and hearing research : JSLHR · 2025
    Review
  5. Investigating Sequence Variations inClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Differences in Cortical Surface Area in Developmental Language Disorder.Neurobiology of language (Cambridge, Mass.) · 2024
    Article
  13. Review
  14. Review
  15. Using machine-learning methods to identify early-life predictors of 11-year language outcome.Journal of child psychology and psychiatry, and allied disciplines · 2023
    Article
  16. Abilities and Disabilities Among Children With Developmental Language Disorder.Language, speech, and hearing services in schools · 2023
    Article
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hayley S MountfordDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford OX3 0BP, UK.ORCID 0000-0002-7663-6326
Ruth BradenMurdoch Children's Research Institute, Royal Children's Hospital, Melbourne 3052, Australia.
Dianne F NewburyDepartment of Biological and Medical Sciences, Oxford Brookes University, Oxford OX3 0BP, UK.ORCID 0000-0002-9557-268X
Angela T MorganMurdoch Children's Research Institute, Royal Children's Hospital, Melbourne 3052, Australia.ORCID 0000-0003-1147-7405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Language disorders are highly heritable and are influenced by complex interactions between genetic and environmental factors. Despite more than twenty years of research, we still lack critical understanding of the biological underpinnings of language. This review provides an overview of the genetic landscape of developmental language disorders (DLD), with an emphasis on the importance of defining the specific features (the phenotype) of DLD to inform gene discovery. We review the specific phenotype of DLD in the genetic literature, and the influence of historic variation in diagnostic inclusion criteria on researchers' ability to compare and replicate genotype-phenotype studies. This review provides an overview of the recently identified gene pathways in populations with DLD and explores current state-of-the-art approaches to genetic analysis based on the hypothesised architecture of DLD. We will show how recent global efforts to unify diagnostic criteria have vastly increased sample size and allow for large multi-cohort metanalyses, leading the identification of a growing number of contributory loci. We emphasise the important role of estimating the genetic architecture of DLD to decipher underlying genetic associations. Finally, we explore the potential for epigenetics and environmental interactions to further unravel the biological basis of language disorders.

Indexed as

apraxia of speechCASDLDepigeneticsgeneticsheritabilitylanguage disorderneurodevelopmentSLIspecific language impairment

Identifiers

PMID35626763
PMCPMC9139417

What OpenQuestion holds

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Registered trials

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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.