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

• DOI: 10.1038/s41467-017-00413-x
• Publication Date: 2017-09-15T15:45:00Z
• Authors: 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 ...; Trevor A. Peterson; Tomasz Bielawny; Peter J. Meikle; Piyushkumar A. Mu...; 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; Yik-Ying Teo
• Keywords: Omics; Malay

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, 284 clinical, lifestyle, dietary variables. This concept paper introduces the depth of data resource, investigates extent ethnic variation at these omics non-omics biomarkers. It is evident that there are specific biomarkers each platforms to differentiate between ethnicities, intra-population analyses suggest Chinese Indians most biologically homogeneous heterogeneous, respectively, three groups. Consistent patterns correlations also possibility tagging simplify future lipidomics assays. expected allow characterization intra-omic inter-omic within across all groups through a systems biology approach.