In one paragraphArticle 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.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors 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.
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.
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 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 itselfAbstract
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
What OpenQuestion holds
Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390