rs1022172 - HMG20A - LINGO1

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

• Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome - Unknown journal (n.d.) · Unknown authors · PubMed 39349817

  ABSTRACT: Metabolic syndrome (MetS) is a complex hereditary condition comprising various metabolic traits as risk factors. Although the genetics of individual MetS components have been investigated actively through large-scale genome-wide association studies, the conjoint genetic architecture has not been fully elucidated. Here, we performed the largest multivariate genome-wide association study of MetS in Europe (nobserved = 4,947,860) by leveraging genetic correlation between MetS components. We identified 1,307 genetic loci associated with MetS that were enriched primarily in brain tissues. Using transcriptomic data, we identified 11 genes associated strongly with MetS. Our phenome-wide association and Mendelian randomization analyses highlighted associations of MetS with diverse di

Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.