Siyang Liu, Jilong Yao, Liang Lin, Xianmei Lan, Linlin Wu, Xuelian He, Nannan Kong, Yan Li, Yuqing Deng, Jiansheng Xie, Huanhuan Zhu, Xiaoxia Wu, Zilong Li, Likuan Xiong, Yuan Wang, Jinghui Ren, Xuemei Qiu, Weihua Zhao, Ya Gao, Yuanqing Chen, Fengxia Su, Yun Zhou, Weiqiao Rao, Jing Zhang, Guixue Hou, Liping Huang, Linxuan Li, Xinhong Liu, Chao Nie, Liqiong Luo, Mei Zhao, Zengyou Liu, Fang Chen, Shengmou Lin, Lijian Zhao, Qingmei Fu, Dan Jiang, Ye Yin, Xun Xu, Jian Wang, Huanming Yang, Rong Wang, Jianmin Niu, Fengxiang Wei, Xin Jin, Siqi Liu
{"title":"孕期母体血浆代谢物的全基因组关联研究。","authors":"Siyang Liu, Jilong Yao, Liang Lin, Xianmei Lan, Linlin Wu, Xuelian He, Nannan Kong, Yan Li, Yuqing Deng, Jiansheng Xie, Huanhuan Zhu, Xiaoxia Wu, Zilong Li, Likuan Xiong, Yuan Wang, Jinghui Ren, Xuemei Qiu, Weihua Zhao, Ya Gao, Yuanqing Chen, Fengxia Su, Yun Zhou, Weiqiao Rao, Jing Zhang, Guixue Hou, Liping Huang, Linxuan Li, Xinhong Liu, Chao Nie, Liqiong Luo, Mei Zhao, Zengyou Liu, Fang Chen, Shengmou Lin, Lijian Zhao, Qingmei Fu, Dan Jiang, Ye Yin, Xun Xu, Jian Wang, Huanming Yang, Rong Wang, Jianmin Niu, Fengxiang Wei, Xin Jin, Siqi Liu","doi":"10.1016/j.xgen.2024.100657","DOIUrl":null,"url":null,"abstract":"<p><p>Metabolites are key indicators of health and therapeutic targets, but their genetic underpinnings during pregnancy-a critical period for human reproduction-are largely unexplored. Using genetic data from non-invasive prenatal testing, we performed a genome-wide association study on 84 metabolites, including 37 amino acids, 24 elements, 13 hormones, and 10 vitamins, involving 34,394 pregnant Chinese women, with sample sizes ranging from 6,394 to 13,392 for specific metabolites. We identified 53 metabolite-gene associations, 23 of which are novel. Significant differences in genetic effects between pregnant and non-pregnant women were observed for 16.7%-100% of these associations, indicating gene-environment interactions. Additionally, 50.94% of genetic associations exhibited pleiotropy among metabolites and between six metabolites and eight pregnancy phenotypes. Mendelian randomization revealed potential causal relationships between seven maternal metabolites and 15 human traits and diseases. These findings provide new insights into the genetic basis of maternal plasma metabolites during pregnancy.</p>","PeriodicalId":72539,"journal":{"name":"Cell genomics","volume":"4 10","pages":"100657"},"PeriodicalIF":11.1000,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genome-wide association study of maternal plasma metabolites during pregnancy.\",\"authors\":\"Siyang Liu, Jilong Yao, Liang Lin, Xianmei Lan, Linlin Wu, Xuelian He, Nannan Kong, Yan Li, Yuqing Deng, Jiansheng Xie, Huanhuan Zhu, Xiaoxia Wu, Zilong Li, Likuan Xiong, Yuan Wang, Jinghui Ren, Xuemei Qiu, Weihua Zhao, Ya Gao, Yuanqing Chen, Fengxia Su, Yun Zhou, Weiqiao Rao, Jing Zhang, Guixue Hou, Liping Huang, Linxuan Li, Xinhong Liu, Chao Nie, Liqiong Luo, Mei Zhao, Zengyou Liu, Fang Chen, Shengmou Lin, Lijian Zhao, Qingmei Fu, Dan Jiang, Ye Yin, Xun Xu, Jian Wang, Huanming Yang, Rong Wang, Jianmin Niu, Fengxiang Wei, Xin Jin, Siqi Liu\",\"doi\":\"10.1016/j.xgen.2024.100657\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Metabolites are key indicators of health and therapeutic targets, but their genetic underpinnings during pregnancy-a critical period for human reproduction-are largely unexplored. Using genetic data from non-invasive prenatal testing, we performed a genome-wide association study on 84 metabolites, including 37 amino acids, 24 elements, 13 hormones, and 10 vitamins, involving 34,394 pregnant Chinese women, with sample sizes ranging from 6,394 to 13,392 for specific metabolites. We identified 53 metabolite-gene associations, 23 of which are novel. Significant differences in genetic effects between pregnant and non-pregnant women were observed for 16.7%-100% of these associations, indicating gene-environment interactions. Additionally, 50.94% of genetic associations exhibited pleiotropy among metabolites and between six metabolites and eight pregnancy phenotypes. Mendelian randomization revealed potential causal relationships between seven maternal metabolites and 15 human traits and diseases. These findings provide new insights into the genetic basis of maternal plasma metabolites during pregnancy.</p>\",\"PeriodicalId\":72539,\"journal\":{\"name\":\"Cell genomics\",\"volume\":\"4 10\",\"pages\":\"100657\"},\"PeriodicalIF\":11.1000,\"publicationDate\":\"2024-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell genomics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.xgen.2024.100657\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CELL BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell genomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.xgen.2024.100657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
Genome-wide association study of maternal plasma metabolites during pregnancy.
Metabolites are key indicators of health and therapeutic targets, but their genetic underpinnings during pregnancy-a critical period for human reproduction-are largely unexplored. Using genetic data from non-invasive prenatal testing, we performed a genome-wide association study on 84 metabolites, including 37 amino acids, 24 elements, 13 hormones, and 10 vitamins, involving 34,394 pregnant Chinese women, with sample sizes ranging from 6,394 to 13,392 for specific metabolites. We identified 53 metabolite-gene associations, 23 of which are novel. Significant differences in genetic effects between pregnant and non-pregnant women were observed for 16.7%-100% of these associations, indicating gene-environment interactions. Additionally, 50.94% of genetic associations exhibited pleiotropy among metabolites and between six metabolites and eight pregnancy phenotypes. Mendelian randomization revealed potential causal relationships between seven maternal metabolites and 15 human traits and diseases. These findings provide new insights into the genetic basis of maternal plasma metabolites during pregnancy.