Establishing multiple omics baselines for three Southeast Asian populations in the Singapore Integrative Omics Study

Woei Yuh Saw, Erwin Tantoso, Husna Begum, Lihan Zhou, Ruiyang Zou, Cheng He, Sze Ling Chan, Linda Wei Lin Tan, Lai Ping Wong, Wenting Xu, Don Kyin Nwe Moong, Yenly Lim, Bowen Li, Nisha Esakimuthu Pillai, Trevor A. Peterson, Tomasz Bielawny, Peter J. Meikle, Piyushkumar A. Mundra, Wei Yen Lim, Ma LuoKee Seng Chia, Rick Twee Hee Ong, Liam R. Brunham, Chiea Chuen Khor, Heng Phon Too, Richie Soong, Markus R. Wenk, Peter Little, Yik Ying Teo

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Abstract

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.

Original languageEnglish
Article number653
Number of pages11
JournalNature Communications
Volume8
Issue number1
DOIs
Publication statusPublished - 21 Sept 2017
Externally publishedYes

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