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121.
Ueda H Howson JM Esposito L Heward J Snook H Chamberlain G Rainbow DB Hunter KM Smith AN Di Genova G Herr MH Dahlman I Payne F Smyth D Lowe C Twells RC Howlett S Healy B Nutland S Rance HE Everett V Smink LJ Lam AC Cordell HJ Walker NM Bordin C Hulme J Motzo C Cucca F Hess JF Metzker ML Rogers J Gregory S Allahabadia A Nithiyananthan R Tuomilehto-Wolf E Tuomilehto J Bingley P Gillespie KM Undlien DE Rønningen KS Guja C Ionescu-Tîrgovişte C Savage DA Maxwell AP Carson DJ Patterson CC Franklyn JA 《Nature》2003,423(6939):506-511
Genes and mechanisms involved in common complex diseases, such as the autoimmune disorders that affect approximately 5% of the population, remain obscure. Here we identify polymorphisms of the cytotoxic T lymphocyte antigen 4 gene (CTLA4)--which encodes a vital negative regulatory molecule of the immune system--as candidates for primary determinants of risk of the common autoimmune disorders Graves' disease, autoimmune hypothyroidism and type 1 diabetes. In humans, disease susceptibility was mapped to a non-coding 6.1 kb 3' region of CTLA4, the common allelic variation of which was correlated with lower messenger RNA levels of the soluble alternative splice form of CTLA4. In the mouse model of type 1 diabetes, susceptibility was also associated with variation in CTLA-4 gene splicing with reduced production of a splice form encoding a molecule lacking the CD80/CD86 ligand-binding domain. Genetic mapping of variants conferring a small disease risk can identify pathways in complex disorders, as exemplified by our discovery of inherited, quantitative alterations of CTLA4 contributing to autoimmune tissue destruction. 相似文献
122.
Luis F. Luna‐Reyes Laura J. Black Weijia Ran Deborah Lines Andersen Holly Jarman George P. Richardson David F. Andersen 《Systems Research and Behavioral Science》2019,36(4):494-513
This paper describes Group Model Building (GMB) as an effective tool to bring together teams of researchers from different disciplines in theory‐building efforts. We propose that the simulation models, as well as other artefacts used during the modelling process, work as boundary objects useful to facilitate conversations among researchers of different disciplines, uncover insights, and build consensus on causal connections and actionable insights. In addition to providing a more robust theoretical basis for participatory system modelling as an approach to theory development in interdisciplinary work, we describe a study using GMB that illustrates its use. The assessment of the case suggests that system models provide interdisciplinary teams with opportunity to combine the strengths of qualitative and quantitative approaches to express theoretical issues, using an analytical meta‐language that permits iteratively building theory and testing its internal consistency. Moreover, the GMB process helps researchers navigate the tension between achieving interdisciplinary consensus (which often involves adding details) and building a parsimonious theory of the phenomenon under study. © 2018 John Wiley & Sons, Ltd. 相似文献