Intergrative Multi-Omics of Asian Pregnant Mother. Intergrative Multi-Omics of Asian Pregnant Mother

As Asians are underrepresented across many omics databases limiting the potential of precision medicine of the global population. It is thus important for multi-omics derived quantitative trait loci (QTLs) to fill the knowledge gap of complex traits in the Asian ancestry. Integrating omics data from genomics and epigenomics (including DNA methylation and RNA-seq from blood), we developed iMOMdb, an open-acesss database to enhance disease prediction models and precision medicine outcomes in Asian pregnant women. Overall design: GUSTO (Growing Up In Singapore Towards healthy Outcome) is a prospective pregnancy and birth cohort study with follow up from prenatal stage through infancy up to 10 years of age. Whole transcriptome was used to explore gene expression changes in maternal whole blood during mid pregnancy (26 -28 weeks of gestation) on 238 mothers of Chinese, Malay and Indian ethnicities. RNA-seq was profiled on maternal whole blood samples using Illumina hiSeq 4000 platform. These data are reported in separate series.

由于亚洲人群在众多组学数据库中代表性不足，这限制了全球人群精准医学的应用潜力。因此，针对亚洲祖先人群的复杂性状，获取多组学衍生的数量性状位点（quantitative trait loci, QTLs）相关数据，对于填补该领域的知识空白具有重要价值。本研究整合基因组学与表观基因组学组学数据（包括血液来源的DNA甲基化与RNA测序数据），构建了开放获取的iMOMdb数据库，旨在优化亚洲孕妇的疾病预测模型及精准医学应用效果。

研究整体设计：GUSTO队列（全称Growing Up In Singapore Towards healthy Outcome）是一项前瞻性妊娠与出生队列研究，随访周期覆盖产前阶段至婴儿期，最长随访至10岁。本研究纳入238名汉族、马来族与印度族孕妇，对其妊娠中期（孕26~28周）的产妇全血样本进行全转录组测序，以分析该时期的基因表达变化情况。研究采用Illumina HiSeq 4000测序平台对产妇全血样本进行RNA测序分析，上述数据将以独立数据集系列形式发布。