rs10810147 - NFIB-AS1

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

• Genetic architecture reconciles linkage and association studies of complex traits. - Nature genetics (2024) · Sidorenko J, Couvy-Duchesne B, Kemper KE, Moen GH, Bhatta L, Åsvold BO, Mägi R, Ani A, Wang R, Nolte IM, Gordon S, Hayward C, Campbell A, Benjamin DJ, Cesarini D, Evans DM, Goddard ME, Haley CS, Porteous D, Medland SE, Martin NG, Snieder H, Metspalu A, Hveem K, Brumpton B, Visscher PM, Yengo L · PubMed 39375568

  Linkage studies have successfully mapped loci underlying monogenic disorders, but mostly failed when applied to common diseases. Conversely, genome-wide association studies (GWASs) have identified replicable associations between thousands of SNPs and complex traits, yet capture less than half of the total heritability. In the present study we reconcile these two approaches by showing that linkage signals of height and body mass index (BMI) from 119,000 sibling pairs colocalize with GWAS-identified loci. Concordant with polygenicity, we observed the following: a genome-wide inflation of linkage test statistics; that GWAS results predict linkage signals; and that adjusting phenotypes for polygenic scores reduces linkage signals. Finally, we developed a method using recombination rate-stratif

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