现象
联想(心理学)
医学
产妇保健
环境卫生
心理学
生物
遗传学
卫生服务
人口
基因
表型
心理治疗师
作者
Jintao Guo,Qiwei Guo,Taoling Zhong,Chaoqun Xu,Zhongmin Xia,Hongkun Fang,Qinwei Chen,Ying Zhou,Jieqiong Xie,Dandan Jin,You Yang,X. Wu,Huanhuan Zhu,Ailing Hour,Xin Jin,Yulin Zhou,Qiyuan Li
出处
期刊:Cell genomics
[Elsevier]
日期:2024-10-01
卷期号:4 (10): 100632-100632
被引量:2
标识
DOI:10.1016/j.xgen.2024.100632
摘要
Highlights•Large-scale genome-wide PheWAS in Chinese population of pregnant women and neonates•Integrating NIPT and EHR data to enhance the discovery by PheWAS•Revealing the genetic determinants of maternal-newborn comorbiditiesSummaryPhenome-wide association studies (PheWAS) have been less focused on maternal diseases and maternal-newborn comorbidities, especially in the Chinese population. To enhance our understanding of the genetic basis of these related diseases, we conducted a PheWAS on 25,639 pregnant women and 14,151 newborns in the Chinese Han population using ultra-low-coverage whole-genome sequence (ulcWGS). We identified 2,883 maternal trait-associated SNPs associated with 26 phenotypes, among which 99.5% were near established genome-wide association study (GWAS) loci. Further refinement delineated these SNPs to 442 unique trait-associated loci (TALs) predicated on linkage disequilibrium R2 > 0.8, revealing that 75.6% demonstrated pleiotropy and 50.9% were located in genes implicated in analogous phenotypes. Notably, we discovered 21 maternal SNPs associated with 35 neonatal phenotypes, including two SNPs associated with identical complications in both mothers and children. These findings underscore the importance of integrating ulcWGS data to enrich the discoveries derived from traditional PheWAS approaches.Graphical abstract
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