孟德尔随机化
多囊卵巢
性激素结合球蛋白
生物
胰岛素抵抗
内科学
内分泌学
生物信息学
肿瘤科
糖尿病
激素
遗传学
医学
雄激素
基因型
遗传变异
基因
作者
Congying Wang,Wei Wu,Haisong Yang,Zhenhong Ye,Yue Zhao,Jun Liu,Liangshan Mu
标识
DOI:10.1016/j.tig.2022.01.005
摘要
Identifying etiological risk factors is significant for preventing and treating patients with polycystic ovary syndrome (PCOS). Through genetic variation, Mendelian randomization (MR) assesses causal associations between PCOS risk and related exposure factors. This emerging technology has provided evidence of causal associations of anti-Müllerian hormone (AMH) levels, sex hormone-binding globulin (SHBG) levels, menopause age, adiposity, insulin resistance (IR), depression, breast cancer, ovarian cancer, obsessive-compulsive disorder (OCD), and forced vital capacity (FVC) with PCOS, while lacking associations of type 2 diabetes mellitus (T2DM), coronary heart disease (CHD), stroke, anxiety disorder (AD), schizophrenia (SCZ), bipolar disorder (BIP), and offspring birth weight with PCOS. In this review, we briefly introduce the concept and methodology of MR in terms of the opportunities and challenges in this field based on recent results obtained from MR analyses involving PCOS.
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