rs10742340 - SLC1A2

Magnitude 2.2 · 2 studies on file

Reported associations

• FLT3 stop mutation increases FLT3 ligand level and risk of autoimmune thyroid disease. - Nature (2020) · Saevarsdottir S, Olafsdottir TA, Ivarsdottir EV, Halldorsson GH, Gunnarsdottir K, Sigurdsson A, Johannesson A, Sigurdsson JK, Juliusdottir T, Lund SH, Arnthorsson AO, Styrmisdottir EL, Gudmundsson J, Grondal GM, Steinsson K, Alfredsson L, Askling J, Benediktsson R, Bjarnason R, Geirsson AJ, Gudbjornsson B, Gudjonsson H, Hjaltason H, Hreidarsson AB, Klareskog L, Kockum I, Kristjansdottir H, Love TJ, Ludviksson BR, Olsson T, Onundarson PT, Orvar KB, Padyukov L, Sigurgeirsson B, Tragante V, Bjarnadottir K, Rafnar T, Masson G, Sulem P, Gudbjartsson DF, Melsted P, Thorleifsson G, Norddahl GL, Thorsteinsdottir U, Jonsdottir I, Stefansson K · PubMed 32581359

  Autoimmune thyroid disease is the most common autoimmune disease and is highly heritable . Here, by using a genome-wide association study of 30,234 cases and 725,172 controls from Iceland and the UK Biobank, we find 99 sequence variants at 93 loci, of which 84 variants are previously unreported . A low-frequency (1.36%) intronic variant in FLT3 (rs76428106-C) has the largest effect on risk of autoimmune thyroid disease (odds ratio (OR) = 1.46, P = 2.37 × 10 ). rs76428106-C is also associated with systemic lupus erythematosus (OR = 1.90, P = 6.46 × 10 ), rheumatoid factor and/or anti-CCP-positive rheumatoid arthritis (OR = 1.41, P = 4.31 × 10 ) and coeliac disease (OR = 1.62, P = 1.20 × 10 ). FLT3 encodes fms-related tyrosine kinase 3, a receptor that regulat

• A scalable variational inference approach for increased mixed-model association power - Unknown journal (n.d.) · Unknown authors · PubMed 39789286

  ABSTRACT: The rapid growth of modern biobanks is creating new opportunities for large-scale genome-wide association studies (GWASs) and the analysis of complex traits. However, performing GWASs on millions of samples often leads to trade-offs between computational efficiency and statistical power, reducing the benefits of large-scale data collection efforts. We developed Quickdraws, a method that increases association power in quantitative and binary traits without sacrificing computational efficiency, leveraging a spike-and-slab prior on variant effects, stochastic variational inference and graphics processing unit acceleration. We applied Quickdraws to 79 quantitative and 50 binary traits in 405,088 UK Biobank samples, identifying 4.97% and 3.25% more associations than REGENIE and 22.71%

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