Graduate Program in Genomics and Computational Biology University of Pennsylvania Philadelphia PA.
Division of Quantitative Sciences, Department of Obstetrics and Gynecology Vanderbilt University Medical Center Nashville TN.
J Am Heart Assoc. 2023 Mar 7;12(5):e026561. doi: 10.1161/JAHA.121.026561. Epub 2023 Feb 27.
Background Cardiometabolic diseases are highly comorbid, but their relationship with female-specific or overwhelmingly female-predominant health conditions (breast cancer, endometriosis, pregnancy complications) is understudied. This study aimed to estimate the cross-trait genetic overlap and influence of genetic burden of cardiometabolic traits on health conditions unique to women. Methods and Results Using electronic health record data from 71 008 ancestrally diverse women, we examined relationships between 23 obstetrical/gynecological conditions and 4 cardiometabolic phenotypes (body mass index, coronary artery disease, type 2 diabetes, and hypertension) by performing 4 analyses: (1) cross-trait genetic correlation analyses to compare genetic architecture, (2) polygenic risk score-based association tests to characterize shared genetic effects on disease risk, (3) Mendelian randomization for significant associations to assess cross-trait causal relationships, and (4) chronology analyses to visualize the timeline of events unique to groups of women with high and low genetic burden for cardiometabolic traits and highlight the disease prevalence in risk groups by age. We observed 27 significant associations between cardiometabolic polygenic scores and obstetrical/gynecological conditions (body mass index and endometrial cancer, body mass index and polycystic ovarian syndrome, type 2 diabetes and gestational diabetes, type 2 diabetes and polycystic ovarian syndrome). Mendelian randomization analysis provided additional evidence of independent causal effects. We also identified an inverse association between coronary artery disease and breast cancer. High cardiometabolic polygenic scores were associated with early development of polycystic ovarian syndrome and gestational hypertension. Conclusions We conclude that polygenic susceptibility to cardiometabolic traits is associated with elevated risk of certain female-specific health conditions.
背景 心血管代谢疾病高度共病,但它们与女性特有的或绝大多数女性为主的健康状况(乳腺癌、子宫内膜异位症、妊娠并发症)的关系研究不足。本研究旨在评估心血管代谢特征的跨特征遗传重叠和遗传负担对女性特有的健康状况的影响。
方法和结果 使用来自 71008 名具有不同祖先的女性的电子健康记录数据,我们通过进行 4 项分析来检查 23 种妇产科疾病与 4 种心血管代谢表型(体重指数、冠心病、2 型糖尿病和高血压)之间的关系:(1)跨特征遗传相关分析以比较遗传结构,(2)基于多基因风险评分的关联测试以描述对疾病风险的共同遗传效应,(3)孟德尔随机化对显著关联进行评估以评估跨特征因果关系,(4)时序分析以可视化具有高和低心血管代谢特征遗传负担的女性群体的独特事件时间线,并突出风险群体的疾病患病率按年龄。我们观察到心血管代谢多基因评分与妇产科疾病(体重指数与子宫内膜癌、体重指数与多囊卵巢综合征、2 型糖尿病与妊娠期糖尿病、2 型糖尿病与多囊卵巢综合征)之间存在 27 个显著关联。孟德尔随机化分析提供了独立因果作用的额外证据。我们还发现冠心病与乳腺癌之间存在负相关。高心血管代谢多基因评分与多囊卵巢综合征和妊娠高血压的早期发展有关。
结论 我们得出结论,心血管代谢特征的多基因易感性与某些女性特有的健康状况的风险增加有关。