IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v6y2015i1d10.1038_ncomms10206.html
   My bibliography  Save this article

Exome-wide association analysis reveals novel coding sequence variants associated with lipid traits in Chinese

Author

Listed:
  • Clara S. Tang

    (the University of Hong Kong)

  • He Zhang

    (University of Michigan)

  • Chloe Y. Y. Cheung

    (the University of Hong Kong)

  • Ming Xu

    (Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education)

  • Jenny C. Y. Ho

    (the University of Hong Kong)

  • Wei Zhou

    (University of Michigan
    University of Michigan)

  • Stacey S. Cherny

    (the University of Hong Kong
    Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong
    State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong)

  • Yan Zhang

    (Peking University First Hospital)

  • Oddgeir Holmen

    (HUNT Research Centre, Norwegian University of Science and Technology
    St Olav Hospital, Trondheim University Hospital)

  • Ka-Wing Au

    (the University of Hong Kong)

  • Haiyi Yu

    (Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education)

  • Lin Xu

    (School of Public Health, the University of Hong Kong)

  • Jia Jia

    (Peking University First Hospital)

  • Robert M. Porsch

    (the University of Hong Kong)

  • Lijie Sun

    (Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education)

  • Weixian Xu

    (Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education)

  • Huiping Zheng

    (Institute of Vascular Medicine, Peking University Third Hospital, Key Laboratory of Molecular Cardiovascular Sciences, Ministry of Education)

  • Lai-Yung Wong

    (the University of Hong Kong)

  • Yiming Mu

    (Chinese People's Liberation Army General Hospital)

  • Jingtao Dou

    (Chinese People's Liberation Army General Hospital)

  • Carol H. Y. Fong

    (the University of Hong Kong)

  • Shuyu Wang

    (Beijing Hypertension League Institute)

  • Xueyu Hong

    (the University of Hong Kong)

  • Liguang Dong

    (Peking University Shougang Hospital)

  • Yanhua Liao

    (Peking University Shougang Hospital)

  • Jiansong Wang

    (Peking University Shougang Hospital)

  • Levina S. M. Lam

    (Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong)

  • Xi Su

    (Wuhan Asia Heart Hospital)

  • Hua Yan

    (Wuhan Asia Heart Hospital)

  • Min-Lee Yang

    (University of Michigan)

  • Jin Chen

    (University of Michigan)

  • Chung-Wah Siu

    (the University of Hong Kong
    Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong)

  • Gaoqiang Xie

    (Peking University Clinical Research Institute)

  • Yu-Cho Woo

    (the University of Hong Kong)

  • Yangfeng Wu

    (Peking University Clinical Research Institute, Peking University School of Public Health)

  • Kathryn C. B. Tan

    (the University of Hong Kong
    Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong)

  • Kristian Hveem

    (HUNT Research Centre, Norwegian University of Science and Technology)

  • Bernard M. Y. Cheung

    (the University of Hong Kong
    Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong
    State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong)

  • Sebastian Zöllner

    (Center for Statistical Genetics, University of Michigan School of Public Health)

  • Aimin Xu

    (the University of Hong Kong
    Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong
    State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong
    The University of Hong Kong)

  • Y Eugene Chen

    (University of Michigan)

  • Chao Qiang Jiang

    (Guangzhou No.12 Hospital)

  • Youyi Zhang

    (Institute of Vascular Medicine, Peking University Third Hospital, Beijing Key Laboratory of Cardiovascular Receptors Research)

  • Tai-Hing Lam

    (School of Public Health, the University of Hong Kong)

  • Santhi K. Ganesh

    (University of Michigan
    University of Michigan)

  • Yong Huo

    (Peking University First Hospital)

  • Pak C. Sham

    (the University of Hong Kong
    Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong
    State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong)

  • Karen S. L. Lam

    (the University of Hong Kong
    Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong
    State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong)

  • Cristen J. Willer

    (University of Michigan
    University of Michigan
    University of Michigan)

  • Hung-Fat Tse

    (the University of Hong Kong
    Research Centre of Heart, Brain, Hormone and Healthy Aging, Li Ka Shing Faculty of Medicine, The University of Hong Kong
    Hong Kong-Guangdong Joint Laboratory on Stem Cell and Regenerative Medicine, the University of Hong Kong)

  • Wei Gao

    (Peking University Third Hospital, Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health)

Abstract

Blood lipids are important risk factors for coronary artery disease (CAD). Here we perform an exome-wide association study by genotyping 12,685 Chinese, using a custom Illumina HumanExome BeadChip, to identify additional loci influencing lipid levels. Single-variant association analysis on 65,671 single nucleotide polymorphisms reveals 19 loci associated with lipids at exome-wide significance (P

Suggested Citation

  • Clara S. Tang & He Zhang & Chloe Y. Y. Cheung & Ming Xu & Jenny C. Y. Ho & Wei Zhou & Stacey S. Cherny & Yan Zhang & Oddgeir Holmen & Ka-Wing Au & Haiyi Yu & Lin Xu & Jia Jia & Robert M. Porsch & Liji, 2015. "Exome-wide association analysis reveals novel coding sequence variants associated with lipid traits in Chinese," Nature Communications, Nature, vol. 6(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms10206
    DOI: 10.1038/ncomms10206
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms10206
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms10206?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Young Jin Kim & Sanghoon Moon & Mi Yeong Hwang & Sohee Han & Hye-Mi Jang & Jinhwa Kong & Dong Mun Shin & Kyungheon Yoon & Sung Min Kim & Jong-Eun Lee & Anubha Mahajan & Hyun-Young Park & Mark I. McCar, 2022. "The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:6:y:2015:i:1:d:10.1038_ncomms10206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.