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

Authors :
Saw WY
Tantoso E
Begum H
Zhou L
Zou R
He C
Chan SL
Tan LW
Wong LP
Xu W
Moong DKN
Lim Y
Li B
Pillai NE
Peterson TA
Bielawny T
Meikle PJ
Mundra PA
Lim WY
Luo M
Chia KS
Ong RT
Brunham LR
Khor CC
Too HP
Soong R
Wenk MR
Little P
Teo YY
Source :
Nature communications [Nat Commun] 2017 Sep 21; Vol. 8 (1), pp. 653. Date of Electronic Publication: 2017 Sep 21.
Publication Year :
2017

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.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.

Details

Language :
English
ISSN :
2041-1723
Volume :
8
Issue :
1
Database :
MEDLINE
Journal :
Nature communications
Publication Type :
Academic Journal
Accession number :
28935855
Full Text :
https://doi.org/10.1038/s41467-017-00413-x