Abstract
Dyslexia is a severe disorder in the acquisition of reading and writing. Several studies investigated the role of genetics for reading, writing and spelling ability in the general population. However, many of the identified SNPs were not analysed in case-control cohorts. Here, we investigated SNPs previously linked to reading or spelling ability in the general population in a German case-control cohort. Furthermore, we characterised these SNPs for functional relevance with in silico methods and meta-analysed them with previous studies. A total of 16 SNPs within five genes were included. The total number of risk alleles was higher in cases than in controls. Three SNPs were nominally associated with dyslexia: rs7765678 within DCDC2, and rs2038137 and rs6935076 within KIAA0319. The relevance of rs2038137 and rs6935076 was further supported by the meta-analysis. Functional profiling included analysis of tissue-specific expression, annotations for regulatory elements and effects on gene expression levels (eQTLs). Thereby, we found molecular mechanistical implications for 13 of all 16 included SNPs. SNPs associated in our cohort showed stronger gene-specific eQTL effects than non-associated SNPs. In summary, our results validate SNPs previously linked to reading and spelling in the general population in dyslexics and provide insights into their putative molecular pathomechanisms.
| Original language | English |
|---|---|
| Article number | 27901 |
| Journal | Scientific Reports |
| Volume | 6 |
| ISSN | 2045-2322 |
| DOIs | |
| Publication status | Published - 17.06.2016 |
Funding
We would like to thank all members of the Legascreen consortium for their support during this study. Legascreen is funded by the Fraunhofer Society and the Max-Planck-Society as a project within the framework of the "Pakt f?r Forschung und Innovation". Dr. Arndt Wilcke and Dr. Holger Kirsten received funding from the Federal Ministry of Education and Research (grant PtJ-Bio 0315883). The authors thank Elfi Quente for expert technical assistance.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Areas and Centers
- Academic Focus: Biomedical Engineering
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