Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-017-00413-x
Title: Establishing multiple omics baselines for three Southeast Asian populations in the Singapore Integrative Omics Study
Authors: Saw, Woei-Yuh 
Tantoso, Erwin
Begum, Husna 
Zhou, Lihan 
Zou, Ruiyang 
He, Cheng
Chan, Sze Ling 
Tan, Linda Wei-Lin 
Wong, Lai-Ping 
Xu, Wenting
Kyin, Don Moong Nwe 
Lim, Yenly
Li, Bowen
Pillai, Nisha Esakimuthu 
Peterson, Trevor A
Bielawny, Tomasz
Meikle, Peter J
Mundra, Piyushkumar A
Lim, Wei-Yen 
Luo, Ma
Chia, Kee-Seng 
Ong, Rick Twee-Hee 
Brunham, Liam R
Khor, Chiea-Chuen 
Too, Heng Phon 
Soong, Richie
Wenk, Markus R 
Little, Peter 
Teo, Yik-Ying 
Keywords: Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
GENOME-WIDE ASSOCIATION
TYPING IDENTIFIED 2
GENE-EXPRESSION
HYPERSENSITIVITY REACTIONS
POSITIVE SELECTION
MASS-SPECTROMETRY
KENYAN POPULATION
DNA MICROARRAY
HLA ALLELES
DATABASE
Issue Date: 21-Sep-2017
Publisher: NATURE PUBLISHING GROUP
Citation: Saw, Woei-Yuh, Tantoso, Erwin, Begum, Husna, Zhou, Lihan, Zou, Ruiyang, He, Cheng, Chan, Sze Ling, Tan, Linda Wei-Lin, Wong, Lai-Ping, Xu, Wenting, Kyin, Don Moong Nwe, Lim, Yenly, Li, Bowen, Pillai, Nisha Esakimuthu, Peterson, Trevor A, Bielawny, Tomasz, Meikle, Peter J, Mundra, Piyushkumar A, Lim, Wei-Yen, Luo, Ma, Chia, Kee-Seng, Ong, Rick Twee-Hee, Brunham, Liam R, Khor, Chiea-Chuen, Too, Heng Phon, Soong, Richie, Wenk, Markus R, Little, Peter, Teo, Yik-Ying (2017-09-21). Establishing multiple omics baselines for three Southeast Asian populations in the Singapore Integrative Omics Study. NATURE COMMUNICATIONS 8 (1). ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-017-00413-x
Abstract: © 2017 The Author(s). 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.
Source Title: NATURE COMMUNICATIONS
URI: https://scholarbank.nus.edu.sg/handle/10635/170374
ISSN: 20411723
DOI: 10.1038/s41467-017-00413-x
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