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Bridges, E.C.* ; Rayner, N.W. ; Mountford, H.S.* ; Bates, T.C.* ; Luciano, M.*

Longitudinal reading measures and genome imputation in the National Child Development Study: Prospects for future reading research.

Twin Res. Hum. Genet. 26, 10-20 (2023)
Verlagsversion DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
Reading difficulties are prevalent worldwide, including in economically developed countries, and are associated with low academic achievement and unemployment. Longitudinal studies have identified several early childhood predictors of reading ability, but studies frequently lack genotype data that would enable testing of predictors with heritable influences. The National Child Development Study (NCDS) is a UK birth cohort study containing direct reading skill variables at every data collection wave from age 7 years through to adulthood with a subsample (final n = 6431) for whom modern genotype data are available. It is one of the longest running UK cohort studies for which genotyped data are currently available and is a rich dataset with excellent potential for future phenotypic and gene-by-environment interaction studies in reading. Here, we carry out imputation of the genotype data to the Haplotype Reference Panel, an updated reference panel that offers greater imputation quality. Guiding phenotype choice, we report a principal components analysis of nine reading variables, yielding a composite measure of reading ability in the genotyped sample. We include recommendations for use of composite scores and the most reliable variables for use during childhood when conducting longitudinal, genetically sensitive analyses of reading ability.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Reading ; Cohort Study ; Genotype Imputation ; Longitudinal Measures ; Principal Components Analysis; Early Literacy Development; Environmental-influences; Stability; Skills; Twin; Comprehension; Kindergarten; Difficulties; Age; Association
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 1832-4274
e-ISSN 1832-4274
Quellenangaben Band: 26, Heft: 1, Seiten: 10-20 Artikelnummer: , Supplement: ,
Verlag Cambridge University Press
Verlagsort 32 Avenue Of The Americas, New York, Ny 10013-2473 Usa
Institut(e) Institute of Translational Genomics (ITG)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-506700-001
Scopus ID 85150363740
PubMed ID 36896826
Erfassungsdatum 2023-10-06