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 Luo, Kee-Seng Chia, Rick Twee-Hee Ong, Liam R. Brunham, Chiea-Chuen Khor, Heng Phon Too, Richie Soong, Markus R. Wenk, Peter Little and Yik-Ying Teo ()
Additional contact information
Woei-Yuh Saw: National University of Singapore
Erwin Tantoso: National University of Singapore
Husna Begum: National University of Singapore
Lihan Zhou: Technology and Research Singapore
Ruiyang Zou: Technology and Research Singapore
Cheng He: Technology and Research Singapore
Sze Ling Chan: Technology and Research Singapore
Linda Wei-Lin Tan: National University of Singapore
Lai-Ping Wong: National University of Singapore
Wenting Xu: National University of Singapore
Don Kyin Nwe Moong: National University of Singapore
Yenly Lim: National University of Singapore
Bowen Li: National University of Singapore
Nisha Esakimuthu Pillai: National University of Singapore
Trevor A. Peterson: University of Manitoba
Tomasz Bielawny: University of Manitoba
Peter J. Meikle: Baker IDI Heart and Diabetes Institute
Piyushkumar A. Mundra: Baker IDI Heart and Diabetes Institute
Wei-Yen Lim: National University of Singapore
Ma Luo: University of Manitoba
Kee-Seng Chia: National University of Singapore
Rick Twee-Hee Ong: National University of Singapore
Liam R. Brunham: Technology and Research Singapore
Chiea-Chuen Khor: Technology and Research Singapore
Heng Phon Too: National University of Singapore
Richie Soong: National University of Singapore
Markus R. Wenk: National University of Singapore
Peter Little: National University of Singapore
Yik-Ying Teo: National University of Singapore

Nature Communications, 2017, vol. 8, issue 1, 1-11

Abstract: 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.

Date: 2017
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DOI: 10.1038/s41467-017-00413-x

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