The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Reproductive Medicine, Guangzhou, China.
Peking Medriv Academy of Genetics and Reproduction, Peking, China.
Reprod Biomed Online. 2020 Mar;40(3):381-392. doi: 10.1016/j.rbmo.2019.12.013. Epub 2019 Dec 30.
Can single-nucleotide polymorphisms (SNP) of genes related to progesterone synthesis predict the risk of premature serum progesterone elevation in women undergoing gonadotrophin-releasing hormone agonist protocols for ovarian stimulation?
A total of 765 women were divided into high progesterone and normal progesterone groups according to progesterone concentration on the day of human chorionic gonadotrophin (HCG) administration, with the 75th percentile as the threshold between the group. Associations were analysed of genetic information from whole exome sequencing and the clinical characteristics of the two groups to identify the relationship between SNP, haplotypes and serum progesterone elevation.
Among 40 common SNP of eight genes (FSHR, LHCGR, ESR1, ESR2, PGR, HSD3B1, CYP11A1 and CYP17A1), no statistical significance between the high and normal progesterone groups was identified in the distribution of genotypes and allele frequencies after multiple test correction to adjust the false discovery rate (P > 0.05). When compared with the most common haplotypes of each gene, haplotype GAAG in CYP17A1 was associated with a 1.44-fold increased risk of progesterone elevation (95% confidence interval [CI] 1.22-1.69, P < 0.001), while haplotypes of the following genes showed a decreased risk of progesterone elevation: haplotype CC in FSHR and LHCGR (0.66-fold, P = 0.020, and 0.64-fold, P < 0.001, respectively), CA in ESR1 (0.90-fold, P < 0.001), TCTGG in ESR2 (0.92-fold, P = 0.007) and GAACC in HSD3B1 (0.42-fold, P < 0.001).
Polymorphism in genes involved in enzymes or hormone receptors in the progesterone synthesis pathway may have a role in modifying risk of serum progesterone elevation.
与孕激素合成相关的基因单核苷酸多态性(SNP)能否预测接受促性腺激素释放激素激动剂方案进行卵巢刺激的女性中孕激素提前升高的风险?
根据人绒毛膜促性腺激素(hCG)给药日的孕激素浓度,将 765 名女性分为高孕激素组和正常孕激素组,第 75 百分位作为两组之间的阈值。分析全外显子测序的遗传信息和两组的临床特征,以确定 SNP、单倍型与血清孕激素升高之间的关系。
在 FSHR、LHCGR、ESR1、ESR2、PGR、HSD3B1、CYP11A1 和 CYP17A1 这 8 个基因的 40 个常见 SNP 中,在经过多重测试校正以调整假发现率(P > 0.05)后,高孕激素组和正常孕激素组之间的基因型和等位基因频率分布没有统计学意义。与每个基因最常见的单倍型相比,CYP17A1 中的单倍型 GAAG 与孕激素升高的风险增加 1.44 倍相关(95%置信区间 [CI] 1.22-1.69,P < 0.001),而以下基因的单倍型显示孕激素升高的风险降低:FSHR 和 LHCGR 中的单倍型 CC(0.66 倍,P = 0.020 和 0.64 倍,P < 0.001),ESR1 中的单倍型 CA(0.90 倍,P < 0.001),ESR2 中的单倍型 TCTGG(0.92 倍,P = 0.007)和 HSD3B1 中的单倍型 GAACC(0.42 倍,P < 0.001)。
孕激素合成途径中涉及酶或激素受体的基因多态性可能在调节血清孕激素升高的风险方面起作用。