对 20900 名中国孕妇的 104 种表型进行基因分析,发现了与妊娠有关的特异性发现。

IF 11.1 Q1 CELL BIOLOGY Cell genomics Pub Date : 2024-10-09 DOI:10.1016/j.xgen.2024.100633
Han Xiao, Linxuan Li, Meng Yang, Xinyi Zhang, Jieqiong Zhou, Jingyu Zeng, Yan Zhou, Xianmei Lan, Jiuying Liu, Ying Lin, Yuanyuan Zhong, Xiaoqian Zhang, Lin Wang, Zhongqiang Cao, Panhong Liu, Hong Mei, Mingzhi Cai, Xiaonan Cai, Ye Tao, Yunqing Zhu, Canqing Yu, Liqin Hu, Yu Wang, Yushan Huang, Fengxia Su, Ya Gao, Rui Zhou, Xun Xu, Huanming Yang, Jian Wang, Huanhuan Zhu, Aifen Zhou, Xin Jin
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引用次数: 0

摘要

监测孕期生化表型对母体和胎儿的健康至关重要,可以及早发现和处理与妊娠相关的疾病,确保母体和胎儿的安全。在此,我们对 20900 名中国女性的 104 种妊娠表型进行了遗传分析。全基因组关联研究(GWAS)共发现了 410 个性状与基因座的关联,其中 71.71% 的关联此前已有报道。在 45 个表型的 116 个新发现中,83 个被成功复制。其中,31 个被定义为潜在的妊娠特异性关联,包括肌酸和 HELLPAR 以及中性粒细胞和 ESR1,随后的分析表明这些关联在雌激素相关途径和女性生殖组织中富集。分区遗传性强调了胎儿血液、胚胎体和女性生殖器官在妊娠血液学和出生结局中的重要作用。通路分析证实了妊娠期激素与免疫调节、新陈代谢和细胞周期之间错综复杂的相互作用。这项研究有助于了解遗传对妊娠表型的影响及其对孕产妇健康的意义。
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Genetic analyses of 104 phenotypes in 20,900 Chinese pregnant women reveal pregnancy-specific discoveries.

Monitoring biochemical phenotypes during pregnancy is vital for maternal and fetal health, allowing early detection and management of pregnancy-related conditions to ensure safety for both. Here, we conducted a genetic analysis of 104 pregnancy phenotypes in 20,900 Chinese women. The genome-wide association study (GWAS) identified a total of 410 trait-locus associations, with 71.71% reported previously. Among the 116 novel hits for 45 phenotypes, 83 were successfully replicated. Among them, 31 were defined as potentially pregnancy-specific associations, including creatine and HELLPAR and neutrophils and ESR1, with subsequent analysis revealing enrichments in estrogen-related pathways and female reproductive tissues. The partitioning heritability underscored the significant roles of fetal blood, embryoid bodies, and female reproductive organs in pregnancy hematology and birth outcomes. Pathway analysis confirmed the intricate interplay of hormone and immune regulation, metabolism, and cell cycle during pregnancy. This study contributes to the understanding of genetic influences on pregnancy phenotypes and their implications for maternal health.

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