Blood multiomics reveal insights into population clusters with low prevalence of diabetes, dyslipidemia and hypertension

• Ming-Wei Su ,

  Contributed equally to this work with: Ming-Wei Su, Chung-ke Chang

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

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• Chung-ke Chang ,

  Contributed equally to this work with: Ming-Wei Su, Chung-ke Chang

  Roles Data curation, Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing

  Affiliation Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

  http://orcid.org/0000-0002-3864-1896

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• Chien-Wei Lin,

  Roles Data curation, Formal analysis, Methodology

  Affiliation Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

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• Shiu-Jie Ling,

  Roles Formal analysis, Investigation

  Affiliation Wego Private Bilingual Senior High School, Taipei, Taiwan

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• Chia-Ni Hsiung,

  Roles Data curation, Supervision

  Affiliations Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, Institute of Bioinformatics and Structural Biology, National Tsing Hua University, Hsinchu, Taiwan

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• Hou-Wei Chu,

  Roles Project administration

  Affiliation Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

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• Pei-Ei Wu,

  Roles Project administration

  Affiliation Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan

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• Chen-Yang Shen

  Roles Conceptualization, Funding acquisition, Resources, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: bmcys@ibms.sinica.edu.tw

  Affiliations Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, College of Public Health, China Medical University, Taichung, Taiwan

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