rs10272006 - SP4

Magnitude 2.2 · 2 studies on file

Reported associations

• Genome-wide association meta-analysis of childhood ADHD symptoms and diagnosis identifies new loci and potential effector genes. - Nature genetics (2025) · 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 A, Moffitt TE, Whitehouse AJO, Pennell CE, Klump KL, Jiang C, Dick DM, Reichborn-Kjennerud T, Martin NG, Medland SE, Vrijkotte T, Kaprio J, Tiemeier H, Davey Smith G, Hartman CA, Oldehinkel AJ, Casas M, Ribasés M, Lichtenstein P, Lundström S, Plomin R, Bartels M, Nivard MG, Boomsma DI · PubMed 40962958

  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 (ADHD ). Next, we meta-analyzed the results with a study of ADHD diagnosis (ADHD ). ADHD returned no genome-wide significant variants. We show that the combined ADHD 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 (r < -0.40) were observed with multiple cognitive traits. In three cohorts, polygenic scores (PGSs) based on ADHD ou

• GWAS and enrichment analyses of non-alcoholic fatty liver disease identify new trait-associated genes and pathways across eMERGE Network - Unknown journal (n.d.) · Unknown authors · PubMed 31311600

  ABSTRACT: Background Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver illness with a genetically heterogeneous background that can be accompanied by considerable morbidity and attendant health care costs. The pathogenesis and progression of NAFLD is complex with many unanswered questions. We conducted genome-wide association studies (GWASs) using both adult and pediatric participants from the Electronic Medical Records and Genomics (eMERGE) Network to identify novel genetic contributors to this condition. Methods First, a natural language processing (NLP) algorithm was developed, tested, and deployed at each site to identify 1106 NAFLD cases and 8571 controls and histological data from liver tissue in 235 available participants. These include 1242 pediatric participants

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