title: Precision medicine in myasthenia graves: begin from the data precision.
abstract: Myasthenia gravis (MG) is a prototypic autoimmune disease with overt clinical and immunological heterogeneity. The data of MG is far from individually precise now, partially due to the rarity and heterogeneity of this disease. In this review, we provide the basic insights of MG data precision, including onset age, presenting symptoms, generalization, thymus status, pathogenic autoantibodies, muscle involvement, severity and response to treatment based on references and our previous studies. Subgroups and quantitative traits of MG are discussed in the sense of data precision. The role of disease registries and scientific bases of precise analysis are also discussed to ensure better collection and analysis of MG data.
authors.affiliation: 1 Department of Neurology, Qilu Hospital of Shandong University, Jinan 250012, China ; 2 Department of Clinical Medicine, University of Bergen, Bergen, Norway ; 3 Department of Neurology, The George Washington University, Washington, DC, USA ; 4 Department of Neurology, Peking University First Hospital, Beijing 100034, China ; 5 College of Information and Engineering, Qingdao University, Qingdao 266071, China.
authors.forename: Hai-Feng
authors.initials: HF
authors.lastname: Li
authors.affiliation: 1 Department of Neurology, Qilu Hospital of Shandong University, Jinan 250012, China ; 2 Department of Clinical Medicine, University of Bergen, Bergen, Norway ; 3 Department of Neurology, The George Washington University, Washington, DC, USA ; 4 Department of Neurology, Peking University First Hospital, Beijing 100034, China ; 5 College of Information and Engineering, Qingdao University, Qingdao 266071, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Hong
authors.affiliation: 1 Department of Neurology, Qilu Hospital of Shandong University, Jinan 250012, China ; 2 Department of Clinical Medicine, University of Bergen, Bergen, Norway ; 3 Department of Neurology, The George Washington University, Washington, DC, USA ; 4 Department of Neurology, Peking University First Hospital, Beijing 100034, China ; 5 College of Information and Engineering, Qingdao University, Qingdao 266071, China.
authors.forename: Yanchen
authors.initials: Y
authors.lastname: Xie
authors.affiliation: 1 Department of Neurology, Qilu Hospital of Shandong University, Jinan 250012, China ; 2 Department of Clinical Medicine, University of Bergen, Bergen, Norway ; 3 Department of Neurology, The George Washington University, Washington, DC, USA ; 4 Department of Neurology, Peking University First Hospital, Beijing 100034, China ; 5 College of Information and Engineering, Qingdao University, Qingdao 266071, China.
authors.forename: Hong-Jun
authors.initials: HJ
authors.lastname: Hao
authors.affiliation: 1 Department of Neurology, Qilu Hospital of Shandong University, Jinan 250012, China ; 2 Department of Clinical Medicine, University of Bergen, Bergen, Norway ; 3 Department of Neurology, The George Washington University, Washington, DC, USA ; 4 Department of Neurology, Peking University First Hospital, Beijing 100034, China ; 5 College of Information and Engineering, Qingdao University, Qingdao 266071, China.
authors.forename: Ren-Cheng
authors.initials: RC
authors.lastname: Sun
keywords: Myasthenia gravis (MG); common element data (CDE); phenotype; precision medicine