Glotov Andrey S, Kazakov Sergey V, Vashukova Elena S, Pakin Vladimir S, Danilova Maria M, Nasykhova Yulia A, Masharsky Aleksey E, Mozgovaya Elena V, Eremeeva Dina R, Zainullina Marina S, Baranov Vladislav S
a Laboratory of Prenatal Diagnostics of Hereditary Diseases , FSBSI "The Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott" , St. Petersburg , Russia.
b Biobank of the Research Park, Saint Petersburg State University , St. Petersburg , Russia.
J Matern Fetal Neonatal Med. 2019 Sep;32(17):2790-2796. doi: 10.1080/14767058.2018.1449204. Epub 2018 Mar 21.
Preeclampsia (PE) is the most common complication of pregnancy that remains to be a major cause of maternal and fetal mortality. Prediction and early diagnosis of PE would allow for timely initiation of preventive therapy. According to recent studies of gene polymorphism is associated with PE, but it is still unclear whether these findings reflect specific pathogenetic mechanisms of this disease. We performed targeted next-generation sequencing (NGS) sequencing of gene by means of Ion Torrent Personal Genome machine (PGM) Sequencer. A genetic analysis of patients with PE and control group was performed. Bioinformatics analysis using Polyphen2 (Boston, MA), SIFT (La Jolla, CA), and SnpSift software were used. To select genetic markers in PE patients two additive models and score analysis were applied. Based on the score analysis, we detected two substitutions (rs145399059 and rs17692648) and one insertion insAA at position 148642724 that were associated with PE in our cohorts. We also detected a variant rs17742573 that can be considered as protective against preeclampsia. Our data suggest that some variants in gene are associated with PE. But more studies are required to reveal the role of gene in the pathogenesis of this disease during pregnancy.
子痫前期(PE)是妊娠最常见的并发症,仍然是孕产妇和胎儿死亡的主要原因。子痫前期的预测和早期诊断有助于及时启动预防性治疗。根据最近的研究,基因多态性与子痫前期有关,但这些发现是否反映了该疾病的特定发病机制仍不清楚。我们通过Ion Torrent个人基因组测序仪(PGM)对基因进行了靶向二代测序(NGS)。对子痫前期患者和对照组进行了基因分析。使用Polyphen2(马萨诸塞州波士顿)、SIFT(加利福尼亚州拉霍亚)和SnpSift软件进行生物信息学分析。为了选择子痫前期患者的基因标记,应用了两种加性模型和评分分析。基于评分分析,我们在研究队列中检测到两个与子痫前期相关的替换(rs145399059和rs17692648)以及一个位于148642724位置的插入insAA。我们还检测到一个可被视为预防子痫前期的变异rs17742573。我们的数据表明,基因中的一些变异与子痫前期有关。但需要更多研究来揭示该基因在妊娠期该疾病发病机制中的作用。