Open AccessA Weighted Genetic Risk Score Using Known Susceptibility Variants to Predict Graves Disease Risk
Author(s) -
Yuru Ma,
ShuangXia Zhao,
Lu Li,
Feng Sun,
Xiaoping Ye,
Feifei Yuan,
Dan Jiang,
Zheng Zhou,
Qian-Yue Zhang,
Yueyue Wan,
Guangya Zhang,
Jing Wu,
Ruijia Zhang,
Ya Fang,
HuaiDong Song
Publication year - 2019
Publication title -
the journal of clinical endocrinology and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.206
H-Index - 353
eISSN - 1945-7197
pISSN - 0021-972X
DOI - 10.1210/jc.2018-01551
Subject(s) - single nucleotide polymorphism , medicine , receiver operating characteristic , population , snp , cohort , oncology , genome wide association study , genotype , genetics , biology , gene , environmental health
Graves disease (GD) is a common thyroid-specific autoimmune disease and one of the most heritable diseases in the population. We present a risk-prediction model, including confirmed, known genetic variants associated with GD.
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