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Author Correction: Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease

Author

Listed:
  • Chen Yao

    (Framingham Heart Study
    National Institutes of Health)

  • George Chen

    (Framingham Heart Study
    National Institutes of Health)

  • Ci Song

    (Framingham Heart Study
    National Institutes of Health
    Uppsala University
    Uppsala University)

  • Joshua Keefe

    (Framingham Heart Study
    National Institutes of Health)

  • Michael Mendelson

    (Framingham Heart Study
    National Institutes of Health
    Boston Children’s Hospital)

  • Tianxiao Huan

    (Framingham Heart Study
    National Institutes of Health)

  • Benjamin B. Sun

    (University of Cambridge)

  • Annika Laser

    (German Research Center for Environmental Health
    German Research Center for Environmental Health)

  • Joseph C. Maranville

    (MRL, Merck & Co., Inc)

  • Hongsheng Wu

    (Wentworth Institute of Technology)

  • Jennifer E. Ho

    (Massachusetts General Hospital)

  • Paul Courchesne

    (Framingham Heart Study
    National Institutes of Health)

  • Asya Lyass

    (Framingham Heart Study
    Boston University)

  • Martin G. Larson

    (Framingham Heart Study
    Boston University School of Public Health)

  • Christian Gieger

    (German Research Center for Environmental Health
    German Research Center for Environmental Health
    German Center for Diabetes Research (DZD))

  • Johannes Graumann

    (W.G. Kerckhoff Institute)

  • Andrew D. Johnson

    (Framingham Heart Study
    National Institutes of Health)

  • John Danesh

    (University of Cambridge
    Addenbrooke’s Hospital
    Wellcome Trust Genome Campus)

  • Heiko Runz

    (MRL, Merck & Co., Inc)

  • Shih-Jen Hwang

    (Framingham Heart Study
    National Institutes of Health)

  • Chunyu Liu

    (Framingham Heart Study
    National Institutes of Health)

  • Adam S. Butterworth

    (University of Cambridge
    University of Cambridge)

  • Karsten Suhre

    (Weill Cornell Medicine-Qatar, Education City)

  • Daniel Levy

    (Framingham Heart Study
    National Institutes of Health)

Abstract

In the originally published version of this Article, financial support was not fully acknowledged. The sentence “KS was supported by the ‘Biomedical Research Program’ funds at Weill Cornell Medicine in Qatar, a program funded by the Qatar Foundation” has been added to the acknowledgement section in both the PDF and HTML versions of the Article.

Suggested Citation

  • Chen Yao & George Chen & Ci Song & Joshua Keefe & Michael Mendelson & Tianxiao Huan & Benjamin B. Sun & Annika Laser & Joseph C. Maranville & Hongsheng Wu & Jennifer E. Ho & Paul Courchesne & Asya Lya, 2018. "Author Correction: Genome‐wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06231-z
    DOI: 10.1038/s41467-018-06231-z
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    Cited by:

    1. Yihao Lu & Meritxell Oliva & Brandon L. Pierce & Jin Liu & Lin S. Chen, 2024. "Integrative cross-omics and cross-context analysis elucidates molecular links underlying genetic effects on complex traits," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Grace Png & Andrei Barysenka & Linda Repetto & Pau Navarro & Xia Shen & Maik Pietzner & Eleanor Wheeler & Nicholas J. Wareham & Claudia Langenberg & Emmanouil Tsafantakis & Maria Karaleftheri & George, 2021. "Mapping the serum proteome to neurological diseases using whole genome sequencing," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    3. Jia You & Yu Guo & Yi Zhang & Ju-Jiao Kang & Lin-Bo Wang & Jian-Feng Feng & Wei Cheng & Jin-Tai Yu, 2023. "Plasma proteomic profiles predict individual future health risk," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Richard Howey & So-Youn Shin & Caroline Relton & George Davey Smith & Heather J Cordell, 2020. "Bayesian network analysis incorporating genetic anchors complements conventional Mendelian randomization approaches for exploratory analysis of causal relationships in complex data," PLOS Genetics, Public Library of Science, vol. 16(3), pages 1-35, March.
    5. Andrew A. Brown & Juan J. Fernandez-Tajes & Mun-gwan Hong & Caroline A. Brorsson & Robert W. Koivula & David Davtian & Théo Dupuis & Ambra Sartori & Theodora-Dafni Michalettou & Ian M. Forgie & Jonath, 2023. "Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
    6. Maik Pietzner & Eleanor Wheeler & Julia Carrasco-Zanini & Nicola D. Kerrison & Erin Oerton & Mine Koprulu & Jian’an Luan & Aroon D. Hingorani & Steve A. Williams & Nicholas J. Wareham & Claudia Langen, 2021. "Synergistic insights into human health from aptamer- and antibody-based proteomic profiling," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    7. Lingyan Chen & James E. Peters & Bram Prins & Elodie Persyn & Matthew Traylor & Praveen Surendran & Savita Karthikeyan & Ekaterina Yonova-Doing & Emanuele Angelantonio & David J. Roberts & Nicholas A., 2022. "Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    8. Andrew D Bretherick & Oriol Canela-Xandri & Peter K Joshi & David W Clark & Konrad Rawlik & Thibaud S Boutin & Yanni Zeng & Carmen Amador & Pau Navarro & Igor Rudan & Alan F Wright & Harry Campbell & , 2020. "Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in human diseases and traits," PLOS Genetics, Public Library of Science, vol. 16(7), pages 1-24, July.
    9. Erik Duijvelaar & Jack Gisby & James E. Peters & Harm Jan Bogaard & Jurjan Aman, 2024. "Longitudinal plasma proteomics reveals biomarkers of alveolar-capillary barrier disruption in critically ill COVID-19 patients," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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