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(2025):
Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes.
In: Nature Genetics, Bd. 57, Nr. 10: S. 2427-2435
Abstract
We performed a genome-wide association meta-analysis (GWAMA) of 290,134 attention-deficit/hyperactivity disorder (ADHD) symptom measures of 70,953 unique individuals from multiple raters, ages and instruments (ADHDSYMP). Next, we meta-analyzed the results with a study of ADHD diagnosis (ADHDOVERALL). ADHDSYMP returned no genome-wide significant variants. We show that the combined ADHDOVERALL GWAMA identified 39 independent loci, of which 17 were new. Using a recently developed gene-mapping method, Fine-mapped Locus Assessment Model of Effector genes, we identified 22 potential ADHD effector genes implicating several new biological processes and pathways. Moderate negative genetic correlations (rg < −0.40) were observed with multiple cognitive traits. In three cohorts, polygenic scores (PGSs) based on ADHDOVERALL outperformed PGSs based on ADHD symptoms and diagnosis alone. Our findings support the notion that clinical ADHD is at the extreme end of a continuous liability that is indexed by ADHD symptoms. We show that including ADHD symptom counts helps to identify new genes implicated in ADHD.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| EU Funded Grant Agreement Number: | 602768 |
| EU-Projekte: | 7. Forschungsrahmenprogramm (FP7) |
| Fakultät: | Medizin > Institut und Poliklinik für Arbeits-, Sozial- und Umweltmedizin |
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| ISSN: | 1061-4036 |
| Bemerkung: | A Correction to this paper has been published: https://doi.org/10.1038/s41588-025-02383-z In the version of this article initially published, Natalia Llonga’s name was placed in the wrong position in the author list and now appears in the twelfth position in the HTML and PDF versions of the article. |
| Sprache: | Englisch |
| Dokumenten ID: | 131332 |
| Datum der Veröffentlichung auf Open Access LMU: | 22. Jan. 2026 14:33 |
| Letzte Änderungen: | 22. Jan. 2026 14:33 |
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