Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia.
Genome-wide association study reveals new insights into the heritability and genetic correlates of developmental dyslexia.
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DOI:
10.1038/s41380-020-00898-x
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发表时间:
2021-07
影响因子:
11
通讯作者:
Schulte-Körne G
中科院分区:
文献类型:
--
作者:
Gialluisi A;Andlauer TFM;Mirza-Schreiber N;Moll K;Becker J;Hoffmann P;Ludwig KU;Czamara D;Pourcain BS;Honbolygó F;Tóth D;Csépe V;Huguet G;Chaix Y;Iannuzzi S;Demonet JF;Morris AP;Hulslander J;Willcutt EG;DeFries JC;Olson RK;Smith SD;Pennington BF;Vaessen A;Maurer U;Lyytinen H;Peyrard-Janvid M;Leppänen PHT;Brandeis D;Bonte M;Stein JF;Talcott JB;Fauchereau F;Wilcke A;Kirsten H;Müller B;Francks C;Bourgeron T;Monaco AP;Ramus F;Landerl K;Kere J;Scerri TS;Paracchini S;Fisher SE;Schumacher J;Nöthen MM;Müller-Myhsok B;Schulte-Körne G
Developmental dyslexia (DD) is a learning disorder affecting the ability to read, with a heritability of 40–60%. A notable part of this heritability remains unexplained, and large genetic studies are warranted to identify new susceptibility genes and clarify the genetic bases of dyslexia. We carried out a genome-wide association study (GWAS) on 2274 dyslexia cases and 6272 controls, testing associations at the single variant, gene, and pathway level, and estimating heritability using single-nucleotide polymorphism (SNP) data. We also calculated polygenic scores (PGSs) based on large-scale GWAS data for different neuropsychiatric disorders and cortical brain measures, educational attainment, and fluid intelligence, testing them for association with dyslexia status in our sample. We observed statistically significant (p < 2.8 × 10−6) enrichment of associations at the gene level, for LOC388780 (20p13; uncharacterized gene), and for VEPH1 (3q25), a gene implicated in brain development. We estimated an SNP-based heritability of 20–25% for DD, and observed significant associations of dyslexia risk with PGSs for attention deficit hyperactivity disorder (at pT = 0.05 in the training GWAS: OR = 1.23[1.16; 1.30] per standard deviation increase; p = 8 × 10−13), bipolar disorder (1.53[1.44; 1.63]; p = 1 × 10−43), schizophrenia (1.36[1.28; 1.45]; p = 4 × 10−22), psychiatric cross-disorder susceptibility (1.23[1.16; 1.30]; p = 3 × 10−12), cortical thickness of the transverse temporal gyrus (0.90[0.86; 0.96]; p = 5 × 10−4), educational attainment (0.86[0.82; 0.91]; p = 2 × 10−7), and intelligence (0.72[0.68; 0.76]; p = 9 × 10−29). This study suggests an important contribution of common genetic variants to dyslexia risk, and novel genomic overlaps with psychiatric conditions like bipolar disorder, schizophrenia, and cross-disorder susceptibility. Moreover, it revealed the presence of shared genetic foundations with a neural correlate previously implicated in dyslexia by neuroimaging evidence.
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影响因子:
4.8
作者:
Cederlof, Martin;Maughan, Barbara;Plomin, Robert
通讯作者:
Plomin, Robert
影响因子:
30.8
作者:
Bulik-Sullivan, Brendan K.;Loh, Po-Ru;Finucane, Hilary K.;Ripke, Stephan;Yang, Jian;Patterson, Nick;Daly, Mark J.;Price, Alkes L.;Neale, Benjamin M.
通讯作者:
Neale, Benjamin M.
影响因子:
30.8
作者:
Finucane HK;Bulik-Sullivan B;Gusev A;Trynka G;Reshef Y;Loh PR;Anttila V;Xu H;Zang C;Farh K;Ripke S;Day FR;ReproGen Consortium;Schizophrenia Working Group of the Psychiatric Genomics Consortium;RACI Consortium;Purcell S;Stahl E;Lindstrom S;Perry JR;Okada Y;Raychaudhuri S;Daly MJ;Patterson N;Neale BM;Price AL
通讯作者:
Price AL
影响因子:
30.8
作者:
Finucane HK;Reshef YA;Anttila V;Slowikowski K;Gusev A;Byrnes A;Gazal S;Loh PR;Lareau C;Shoresh N;Genovese G;Saunders A;Macosko E;Pollack S;Brainstorm Consortium;Perry JRB;Buenrostro JD;Bernstein BE;Raychaudhuri S;McCarroll S;Neale BM;Price AL
通讯作者:
Price AL
影响因子:
9.2
作者:
Chang CC;Chow CC;Tellier LC;Vattikuti S;Purcell SM;Lee JJ
通讯作者:
Lee JJ