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

Author

Listed:
  • Woei-Yuh Saw

    (National University of Singapore
    National University of Singapore)

  • Erwin Tantoso

    (National University of Singapore)

  • Husna Begum

    (National University of Singapore
    Baker IDI Heart and Diabetes Institute)

  • 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
    National Microbiology Laboratory)

  • Tomasz Bielawny

    (University of Manitoba
    National Microbiology Laboratory)

  • Peter J. Meikle

    (Baker IDI Heart and Diabetes Institute
    The University of Melbourne)

  • Piyushkumar A. Mundra

    (Baker IDI Heart and Diabetes Institute)

  • Wei-Yen Lim

    (National University of Singapore)

  • Ma Luo

    (University of Manitoba
    National Microbiology Laboratory)

  • 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
    Singapore Eye Research Institute)

  • Heng Phon Too

    (National University of Singapore
    Singapore-Massachusetts Institute of Technology Alliance
    A*STAR (Agency for Science, Technology and Research, Singapore))

  • Richie Soong

    (National University of Singapore)

  • Markus R. Wenk

    (National University of Singapore
    National University of Singapore
    National University of Singapore
    Chinese Academy of Sciences)

  • Peter Little

    (National University of Singapore)

  • Yik-Ying Teo

    (National University of Singapore
    National University of Singapore
    Technology and Research Singapore
    National University of Singapore)

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.

Suggested Citation

  • 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 Es, 2017. "Establishing multiple omics baselines for three Southeast Asian populations in the Singapore Integrative Omics Study," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-00413-x
    DOI: 10.1038/s41467-017-00413-x
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    Cited by:

    1. Jean-Sebastien Gounot & Minghao Chia & Denis Bertrand & Woei-Yuh Saw & Aarthi Ravikrishnan & Adrian Low & Yichen Ding & Amanda Hui Qi Ng & Linda Wei Lin Tan & Yik-Ying Teo & Henning Seedorf & Niranjan, 2022. "Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

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