Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive, Singapore, 117549, Singapore.
Life Sciences Institute, National University of Singapore, 28 Medical Drive, Singapore, 117456, Singapore.
Nat Commun. 2017 Sep 21;8(1):653. doi: 10.1038/s41467-017-00413-x.
The Singapore Integrative Omics Study provides valuable insights on establishing population reference measurement in 364 Chinese, Malay, and Indian individuals. These measurements include > 2.5 millions genetic variants, 21,649 transcripts expression, 282 lipid species quantification, and 284 clinical, lifestyle, and dietary variables. This concept paper introduces the depth of the data resource, and investigates the extent of ethnic variation at these omics and non-omics biomarkers. It is evident that there are specific biomarkers in each of these platforms to differentiate between the ethnicities, and intra-population analyses suggest that Chinese and Indians are the most biologically homogeneous and heterogeneous, respectively, of the three groups. Consistent patterns of correlations between lipid species also suggest the possibility of lipid tagging to simplify future lipidomics assays. The Singapore Integrative Omics Study is expected to allow the characterization of intra-omic and inter-omic correlations within and across all three ethnic groups through a systems biology approach.The Singapore Genome Variation projects characterized the genetics of Singapore's Chinese, Malay, and Indian populations. The Singapore Integrative Omics Study introduced here goes further in providing multi-omic measurements in individuals from these populations, including genetic, transcriptome, lipidome, and lifestyle data, and will facilitate the study of common diseases in Asian communities.
新加坡综合组学研究提供了有价值的见解,有助于在 364 名华人、马来人和印度人中建立人群参考测量。这些测量包括 >250 万个遗传变异、21649 个转录本表达、282 种脂质物种定量和 284 种临床、生活方式和饮食变量。本文介绍了数据资源的深度,并研究了这些组学和非组学生物标志物的种族变异程度。很明显,在这些平台中的每一个都有特定的生物标志物来区分种族,而人群内分析表明,中国人和印度人是三个群体中最具生物同质性和异质性的。脂质物种之间一致的相关模式也表明了脂质标记的可能性,以简化未来的脂质组学分析。新加坡综合组学研究有望通过系统生物学方法,对所有三个种族群体内部和跨群体的组内和组间相关性进行特征描述。新加坡基因组变异项目对新加坡华人、马来人和印度人的遗传学进行了描述。本文介绍的新加坡综合组学研究更进一步,为这些人群中的个体提供了多组学测量,包括遗传、转录组、脂质组和生活方式数据,并将促进对亚洲社区常见疾病的研究。