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Genome-wide association analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people

14Citations signalées, ce qui n’est pas une note de qualité
78Institutions déclarées
14Pays d’affiliation déclarés

Rattachement africain : nl, de, au, us, gb, ca, it, dk, fr, ch, at, fi, es, hk. Niveau de preuve : code pays fourni par la source.

Le résumé fourni par la source

Abstract The use of spoken and written language is a capacity that is unique to humans. Individual differences in reading- and language-related skills are influenced by genetic variation, with twin-based heritability estimates of 30-80%, depending on the trait. The relevant genetic architecture is complex, heterogeneous, and multifactorial, and yet to be investigated with well-powered studies. Here, we present a multicohort genome-wide association study (GWAS) of five traits assessed individually using psychometric measures: word reading, nonword reading, spelling, phoneme awareness, and nonword repetition, with total sample sizes ranging from 13,633 to 33,959 participants aged 5-26 years (12,411 to 27,180 for those with European ancestry, defined by principal component analyses). We identified a genome-wide significant association with word reading (rs11208009, p=1.098 × 10 −8 ) independent of known loci associated with intelligence or educational attainment. All five reading-/language-related traits had robust SNP-heritability estimates (0.13–0.26), and genetic correlations between them were modest to high. Using genomic structural equation modelling, we found evidence for a shared genetic factor explaining the majority of variation in word and nonword reading, spelling, and phoneme awareness, which only partially overlapped with genetic variation contributing to nonword repetition, intelligence and educational attainment. A multivariate GWAS was performed to jointly analyse word and nonword reading, spelling, and phoneme awareness, maximizing power for follow-up investigation. Genetic correlation analysis of multivariate GWAS results with neuroimaging traits identified association with cortical surface area of the banks of the left superior temporal sulcus, a brain region with known links to processing of spoken and written language. Analysis of evolutionary annotations on the lineage that led to modern humans showed enriched heritability in regions depleted of Neanderthal variants. Together, these results provide new avenues for deciphering the biological underpinnings of these uniquely human traits.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Genome-wide association analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people
Date Crossref
04/11/2021
Éditeur
openRxiv
Type
posted-content

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Max Planck Institute for PsycholinguisticsHelmholtz MunichVrije Universiteit AmsterdamHunter Medical Research InstituteUniversity of Newcastle AustraliaPediatrics and GeneticsKing's College LondonUniversity of BristolMRC Epidemiology UnitQIMR Berghofer Medical Research InstituteUniversity Health NetworkKrembil Research InstituteIstituto Neurologico MediterraneoMax Planck Institute of PsychiatryUniversity of St AndrewsUniversity of TorontoErasmus MCAmsterdam NeuroscienceAmsterdam UMC Location Vrije Universiteit AmsterdamTUM KlinikumTechnical University of MunichUniversity of EdinburghHospital for Sick ChildrenAarhus UniversityLundbeck FoundationCentre National de la Recherche ScientifiqueInstitut PasteurUniversité Paris CitéGènes, synapses et cognitionUniversity of ZurichHeidelberg UniversityUniversity Hospital HeidelbergETH ZurichCentral Institute of Mental HealthSwiss Integrative Center for Human HealthOxford Brookes UniversityUniversity of BolognaUniversity of New MexicoUniversity of GrazBioTechMed-GrazUniversity of JyväskyläUniversity of AmsterdamUniversity of Colorado BoulderUniversity of YorkUniversidad de La LagunaUniversity of OxfordUniversity of IowaChinese University of Hong KongLMU KlinikumLudwig-Maximilians-Universität MünchenTufts UniversityRoyal Children's HospitalThe University of MelbourneMurdoch Children's Research InstituteUniversity Hospital BonnJohn Hunter HospitalUniversity of DenverUniversité Paris Sciences et LettresÉcole Normale Supérieure - PSLLaboratoire de Sciences Cognitives et PsycholinguistiqueÉcole des hautes études en sciences socialesUniversité du Québec à ChicoutimiUniversity of Nebraska Medical CenterAston UniversityHarvard UniversityErasmus University RotterdamThe University of QueenslandAmsterdam University Medical CentersIkerbasqueUniversity of the Basque CountryBasque Center on Cognition, Brain and LanguageUniversity of LiverpoolCentre Hospitalier Universitaire Sainte-JustineUniversité de MontréalGriffith UniversityThe Kids Research Institute AustraliaThe University of Western AustraliaRadboud University Nijmegen

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Genetic Associations and EpidemiologyGenetics and Neurodevelopmental DisordersLanguage Development and Disorders

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