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GWAS Study

Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia.

Gialluisi A, Andlauer TFM, Mirza-Schreiber N et al.

30741946 PubMed ID
GWAS Study Type
2563 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

GA
Gialluisi A
AT
Andlauer TFM
MN
Mirza-Schreiber N
MK
Moll K
BJ
Becker J
HP
Hoffmann P
LK
Ludwig KU
CD
Czamara D
SP
St Pourcain B
BW
Brandler W
HF
Honbolygó F
TD
Tóth D
CV
Csépe V
HG
Huguet G
MA
Morris AP
HJ
Hulslander J
WE
Willcutt EG
DJ
DeFries JC
OR
Olson RK
SS
Smith SD
PB
Pennington BF
VA
Vaessen A
MU
Maurer U
LH
Lyytinen H
PM
Peyrard-Janvid M
LP
Leppänen PHT
BD
Brandeis D
BM
Bonte M
SJ
Stein JF
TJ
Talcott JB
FF
Fauchereau F
WA
Wilcke A
FC
Francks C
BT
Bourgeron T
MA
Monaco AP
RF
Ramus F
LK
Landerl K
KJ
Kere J
ST
Scerri TS
PS
Paracchini S
FS
Fisher SE
SJ
Schumacher J
NM
Nöthen MM
MB
Müller-Myhsok B
SG
Schulte-Körne G
Chapter II

Abstract

Summary of the research findings

Developmental dyslexia (DD) is one of the most prevalent learning disorders, with high impact on school and psychosocial development and high comorbidity with conditions like attention-deficit hyperactivity disorder (ADHD), depression, and anxiety. DD is characterized by deficits in different cognitive skills, including word reading, spelling, rapid naming, and phonology. To investigate the genetic basis of DD, we conducted a genome-wide association study (GWAS) of these skills within one of the largest studies available, including nine cohorts of reading-impaired and typically developing children of European ancestry (N = 2562-3468). We observed a genome-wide significant effect (p < 1 × 10-8) on rapid automatized naming of letters (RANlet) for variants on 18q12.2, within MIR924HG (micro-RNA 924 host gene; rs17663182 p = 4.73 × 10-9), and a suggestive association on 8q12.3 within NKAIN3 (encoding a cation transporter; rs16928927, p = 2.25 × 10-8). rs17663182 (18q12.2) also showed genome-wide significant multivariate associations with RAN measures (p = 1.15 × 10-8) and with all the cognitive traits tested (p = 3.07 × 10-8), suggesting (relational) pleiotropic effects of this variant. A polygenic risk score (PRS) analysis revealed significant genetic overlaps of some of the DD-related traits with educational attainment (EDUyears) and ADHD. Reading and spelling abilities were positively associated with EDUyears (p ~ [10-5-10-7]) and negatively associated with ADHD PRS (p ~ [10-8-10-17]). This corroborates a long-standing hypothesis on the partly shared genetic etiology of DD and ADHD, at the genome-wide level. Our findings suggest new candidate DD susceptibility genes and provide new insights into the genetics of dyslexia and its comorbities.

2,563 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

2563
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.S., Austria, France, Germany, Netherlands, Switzerland, Hungary, Finland, U.K.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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