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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 |
Appears in Collections: | Staff Publications Elements |
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