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Meta-Analysis
. 2025 Oct;57(10):2427-2435.
doi: 10.1038/s41588-025-02295-y. Epub 2025 Sep 17.

Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes

Camiel M van der Laan  1   2   3 Hill F Ip  4 Marijn Schipper  5 Jouke-Jan Hottenga  4 Beate St Pourcain  6   7   8 Tetyana Zayats  9   10   11 René Pool  4 Eva M L Krapohl  12 Isabell Brikell  13 María Soler Artigas  14   15   16   17 Judit Cabana-Domínguez  14   15   16   17 Natalia Llonga  14   15   16   17 Ilja M Nolte  18 Koen Bolhuis  19 Teemu Palviainen  20 Hadi Zafarmand  21   22 Scott Gordon  23 Fazil Aliev  24 S Alexandra Burt  25 Carol A Wang  26   27 Gretchen Saunders  28 Ville Karhunen  29   30 Daniel E Adkins  31   32 Richard Border  33 Roseann E Peterson  34   35 Joseph A Prinz  36 Elisabeth Thiering  37   38 Natàlia Vilor-Tejedor  39   40   41   42 Tarunveer S Ahluwalia  43   44   45 Andrea Allegrini  12 Kaili Rimfeld  12   46 Qi Chen  13 Yi Lu  13 Joanna Martin  13 Rosa Bosch  14   47 Josep Antoni Ramos-Quiroga  14   15   16   48 Alexander Neumann  19 Judith Ensink  49   50 Katrina L Grasby  23 José J Morosoli  51   52   53 Xiaoran Tong  54 Shelby Marrington  55 James G Scott  56   57   58 Andrey A Shabalin  32 Robin Corley  59 Luke M Evans  59   60 Karen Sugden  36   61 Silvia Alemany  14   15   16 Lærke Sass  43 Rebecca Vinding  43   62 Erik A Ehli  63 Fiona A Hagenbeek  4   20   64 Eske M Derks  65 Henrik Larsson  13   66 Harold Snieder  18 Charlotte Cecil  19   67   68 Alyce M Whipp  20 Tellervo Korhonen  20 Eero Vuoksimaa  20 Richard J Rose  69 André G Uitterlinden  68   70   71 Jan Haavik  9 Jennifer R Harris  72 Øyvind Helgeland  73 Stefan Johansson  74 Gun Peggy S Knudsen  72 Pal Rasmus Njolstad  74 Qing Lu  75 Alina Rodriguez  29   76   77   78 Anjali K Henders  79 Abdullah Mamun  80 Jackob M Najman  55 Sandy Brown  81 Christian Hopfer  82 Kenneth Krauter  83 Chandra A Reynolds  59   84   85 Andrew Smolen  59 Michael Stallings  59   85 Sally Wadsworth  59 Tamara L Wall  81 Lindon Eaves  35   86 Judy L Silberg  35   86 Allison Miller  87 Alexandra Havdahl  88   89 Sabrina Llop  90   91 Maria-Jose Lopez-Espinosa  90   91   92 Klaus Bønnelykke  43   62 Jordi Sunyer  93   94   95 Louise Arseneault  96 Marie Standl  37 Joachim Heinrich  37   97   98 Joseph Boden  99 John Pearson  100 John Horwood  99 Martin Kennedy  87 Richie Poulton  101 Hermine H Maes  35   86   102 John Hewitt  59   85 William E Copeland  103 Christel M Middeldorp  49   50   56   57   64   104   105 Gail M Williams  55 Naomi Wray  79   106 Marjo-Riitta Järvelin  29   30   107 Matt McGue  28 William Iacono  28 Avshalom Caspi  36   85   96   108 Terrie E Moffitt  85   96   108 Andrew J O Whitehouse  109 Craig E Pennell  26   27 Kelly L Klump  25 Chang Jiang  75 Danielle M Dick  24   86   110   111 Ted Reichborn-Kjennerud  85   112 Nicholas G Martin  23 Sarah E Medland  23   53   113 Tanja Vrijkotte  64   104   114 Jaakko Kaprio  20   115 Henning Tiemeier  19   116 George Davey Smith  6   117 Catharina A Hartman  118 Albertine J Oldehinkel  118 Miquel Casas  47   48   119   120 Marta Ribasés  14   15   16   17 Paul Lichtenstein  13 Sebastian Lundström  121   122 Robert Plomin  12 Meike Bartels  4   64 Michel G Nivard  4   6 Dorret I Boomsma  4   5   64   104
Affiliations
Meta-Analysis

Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes

Camiel M van der Laan et al. Nat Genet. 2025 Oct.

Erratum in

  • Publisher Correction: Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes.
    van der Laan CM, Ip HF, Schipper M, Hottenga JJ, St Pourcain B, Zayats T, Pool R, Krapohl EML, Brikell I, Soler Artigas M, Cabana-Domínguez J, Llonga N, Nolte IM, Bolhuis K, Palviainen T, Zafarmand H, Gordon S, Aliev F, Burt SA, Wang CA, Saunders G, Karhunen V, Adkins DE, Border R, Peterson RE, Prinz JA, Thiering E, Vilor-Tejedor N, Ahluwalia TS, Allegrini A, Rimfeld K, Chen Q, Lu Y, Martin J, Bosch R, Ramos-Quiroga JA, Neumann A, Ensink J, Grasby KL, Morosoli JJ, Tong X, Marrington S, Scott JG, Shabalin AA, Corley R, Evans LM, Sugden K, Alemany S, Sass L, Vinding R, Ehli EA, Hagenbeek FA, Derks EM, Larsson H, Snieder H, Cecil C, Whipp AM, Korhonen T, Vuoksimaa E, Rose RJ, Uitterlinden AG, Haavik J, Harris JR, Helgeland Ø, Johansson S, Knudsen GPS, Njolstad PR, Lu Q, Rodriguez A, Henders AK, Mamun A, Najman JM, Brown S, Hopfer C, Krauter K, Reynolds CA, Smolen A, Stallings M, Wadsworth S, Wall TL, Eaves L, Silberg JL, Miller A, Havdahl A, Llop S, Lopez-Espinosa MJ, Bønnelykke K, Sunyer J, Arseneault L, Standl M, Heinrich J, Boden J, Pearson J, Horwood J, Kennedy M, Poulton R, Maes HH, Hewitt J, Copeland WE, Middeldorp CM, Williams GM, Wray N, Järvelin MR, McGue M, Iacono W, Caspi … See abstract for full author list ➔ van der Laan CM, et al. Nat Genet. 2025 Oct;57(10):2604. doi: 10.1038/s41588-025-02383-z. Nat Genet. 2025. PMID: 41023451 No abstract available.

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.

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Conflict of interest statement

Competing interests: J.A.R.-Q. was on the speakers’ bureau and/or acted as a consultant for Biogen, Idorsia, Casen-Recordati, Janssen-Cilag, Novartis, Takeda, Bial, Sincrolab, Neuraxpharm, BMS, Medice, Rubió, Uriach, Technofarma and Raffo in the last 3 years. He also received travel awards (air tickets and hotel) for taking part in psychiatric meetings from Idorsia, Janssen-Cilag, Rubió, Takeda, Bial and Medice. The Department of Psychiatry, chaired by him, received unrestricted educational and research support from the following companies in the last 3 years: Exeltis, Idorsia, Janssen-Cilag, Neuraxpharm, Oryzon, Roche, Probitas and Rubió. M.C. has received fees to give talks for TAKEDA and Laboratorios RUBIO. The other authors declare no competing interests.

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