Evidence map›Paper›PMID 42173846›Full record

ArticleTranslational psychiatry2026

Towards disentangling the polygenic contribution of dyslexia to school performance.

Marta Graell, Rosa Bosch, María Soler Artigas, Silvia Alemany, Natalia Llonga, Pau Carabí-Gassol, Uxue Zubizarreta-Arruti, Valeria Macias-Chimborazo, Marina Mitjans, Mireia Pagerols and 9 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

19 authors.

Marta Graell *Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.
Rosa Bosch *Biomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain.ORCID http://orcid.org/0000-0002-7596-183X
María Soler ArtigasPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.ORCID http://orcid.org/0000-0002-3213-1107
Silvia AlemanyPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.ORCID http://orcid.org/0000-0002-7925-6767
Natalia LlongaPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.ORCID http://orcid.org/0000-0003-4325-6201
Pau Carabí-GassolPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.ORCID http://orcid.org/0000-0001-9105-2946
Uxue Zubizarreta-ArrutiPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.ORCID http://orcid.org/0009-0005-2267-6196
Valeria Macias-ChimborazoPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.
Marina MitjansDepartment of Genetics, Microbiology, and Statistics, Faculty of Biology, Universitat de Barcelona (UB), Barcelona, Spain.ORCID http://orcid.org/0000-0001-5543-7320
Mireia PagerolsBiomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain.
Èlia PagespetitSJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.
Raquel PratBiomedical Network Research Centre on Mental Health (CIBERSAM), Madrid, Spain.
Júlia PuigbóSJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.
Cristina RivasSJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.
Laura MartinezSJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.
Josep Antoni Ramos-QuirogaPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain.ORCID http://orcid.org/0000-0003-1622-0350
Miquel CasasSJD MIND Schools Program, Hospital Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain.ORCID http://orcid.org/0000-0003-3496-8522
Marta RibasésPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain. marta.ribases@vhir.org.ORCID http://orcid.org/0000-0003-1039-1116
Judit Cabana-DomínguezPsychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Instituto de Investigación Sanitaria Acreditado Instituto de Investigación - Hospital Universitario Vall d'Hebron (IR-HUVH), Barcelona, Spain. judit.cabana@vhir.org.ORCID http://orcid.org/0000-0002-4732-7284

Funding

Fundació la Marató de TV3 (TV3 Marathon Foundation) 202228-30Fundació la Marató de TV3 (TV3 Marathon Foundation) 202228-31Government of Catalonia | Agència de Gestió d'Ajuts Universitaris i de Recerca (Agency for Management of University and Research Grants) 2017SGR-1461Government of Catalonia | Agència de Gestió d'Ajuts Universitaris i de Recerca (Agency for Management of University and Research Grants) 2021SGR-00840Ministry of Economy and Competitiveness | Agencia Estatal de Investigación (Spanish Agencia Estatal de Investigación) RYC2021-033573Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) CP22/00026Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) CP22/00128Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) FI23/00152Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI20/00041Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI22/00464Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI23/00026Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI23/00404Ministry of Economy and Competitiveness | Instituto de Salud Carlos III (Institute of Health Carlos III) PI24/00195
6 · The paper itself

Abstract

Dyslexia is a neurodevelopmental disorder typically diagnosed in school-aged children and associated with poor school performance and lower levels of educational attainment (EA). Here, we aimed to test the shared genetic architecture between dyslexia and EA, to dissect the polygenic contribution of dyslexia by its relationship with EA and to assess how these genetic partitions influence school performance, early manifestation of psychopathology and related traits. We first confirmed a negative genetic correlation between dyslexia and EA (rg = -0.186, SE = 0.019, P = 1.75E-22). Then, polygenic scores for EA and dyslexia were tested in a cohort of 4274 school-aged children, revealing opposite direction of the effect in school performance. Next, we dissected the genetic liability for dyslexia into components shared with, and independent of, EA. The results revealed similar patterns of association for performance in primary and foreign languages, but distinct patterns when comparing these language-related subjects with mathematics. The dyslexia-specific genetic component independent of EA was associated with poorer academic outcomes in language-related subjects and increased rates of psychopathology, supporting the existence of dyslexia-specific genetic effects beyond general cognitive or educational pathways. In contrast, the genetic load of dyslexia that overlaps with EA contributes to school performance in both language-related subjects and mathematics and displayed opposite patterns of association dependent on whether concordant and discordant genomic partitions were considered. The discordant partition was associated with poorer school performance and higher rates of behavioral and emotional problems, with these associations being partially mediated by the dyslexia diagnosis (accounting for a reduction in effect size ranging from 10.44-12.91%). Conversely, the concordant partition was only associated with better performance in mathematics. Overall, these findings highlight the polygenic contribution of dyslexia to both academic and psychopathological outcomes, support distinct genetic influences on language skills and mathematics, and underscore the usage of the genetic load for EA to deepen insight into the complex genetic relationship between dyslexia and school performance.

Indexed as

Academic PerformanceDyslexiaMultifactorial InheritanceChildEducational StatusFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansMale

Identifiers

PMID42173846
PMCPMC13369812

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.