作者
Yanfei Zhang, Kevin Ho, Jacob M Keaton, Dustin N Hartzel, Felix Day, Anne E Justice, Navya S Josyula, Sarah A Pendergrass, Lea K Davis, Digna R Velez Edwards, Brody Holohan, Andrea Ramirez, Ian B Stanaway, David R Crosslin, Gail P Jarvik, Patrick Sleiman, Hakon Hakonarson, Marc S Williams, Ming Ta Michael Lee
发表日期
2020/10/1
期刊
American journal of obstetrics and gynecology
卷号
223
期号
4
页码范围
559. e1-559. e21
出版商
Mosby
简介
Background
Polycystic ovary syndrome is the most common endocrine disorder affecting women of reproductive age. A number of criteria have been developed for clinical diagnosis of polycystic ovary syndrome, with the Rotterdam criteria being the most inclusive. Evidence suggests that polycystic ovary syndrome is significantly heritable, and previous studies have identified genetic variants associated with polycystic ovary syndrome diagnosed using different criteria. The widely adopted electronic health record system provides an opportunity to identify patients with polycystic ovary syndrome using the Rotterdam criteria for genetic studies.
Objective
To identify novel associated genetic variants under the same phenotype definition, we extracted polycystic ovary syndrome cases and unaffected controls based on the Rotterdam criteria from the electronic health records and performed a discovery-validation genome …
引用总数
2020202120222023202439132211
学术搜索中的文章
Y Zhang, K Ho, JM Keaton, DN Hartzel, F Day… - American journal of obstetrics and gynecology, 2020