Abstract
Reading and language abilities are heritable traits that are likely to
share some genetic influences with each other. To identify pleiotropic
genetic variants affecting these traits, we first performed a
genome‐wide association scan (GWAS) meta‐analysis using three richly
characterized datasets comprising individuals with histories of reading
or language problems, and their siblings. GWAS was performed in a total
of 1862 participants using the first principal component computed from
several quantitative measures of reading‐ and language‐related
abilities, both before and after adjustment for performance IQ. We
identified novel suggestive associations at the SNPs rs59197085 and
rs5995177 (uncorrected P ≈ 10–7 for each SNP), located respectively at the CCDC136/FLNC and RBFOX2
genes. Each of these SNPs then showed evidence for effects across
multiple reading and language traits in univariate association testing
against the individual traits. FLNC encodes a structural protein involved in cytoskeleton remodelling, while RBFOX2 is an important regulator of alternative splicing in neurons. The CCDC136/FLNC
locus showed association with a comparable reading/language measure in
an independent sample of 6434 participants from the general population,
although involving distinct alleles of the associated SNP. Our datasets
will form an important part of on‐going international efforts to
identify genes contributing to reading and language skills.
Original language | English |
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Pages (from-to) | 686-701 |
Journal | Genes, Brain and Behavior |
Volume | 13 |
Issue number | 7 |
Early online date | 29 Aug 2014 |
DOIs | |
Publication status | Published - 15 Sept 2014 |
Keywords
- Pleiotropic variants
- CLDRC
- Developmental dyslexia
- GWAS
- Language
- Meta-analysis
- Reading
- Reading disability
- SLIC
- Specific language impairment
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Silvia Paracchini
- School of Medicine - Professor of Neurogenetics and Genomics
- Centre for Biophotonics
- Biomedical Sciences Research Complex
- Institute of Behavioural and Neural Sciences
- St Andrews Bioinformatics Unit
- Cellular Medicine Division
Person: Academic