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Erratum to: A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies

Genome Biology volume 17, Article number: 73 (2016) Cite this article

The Original Article was published on 15 February 2015

After the publication of this work [1] it was noticed that an author was omitted from the author list and author contributions. Please see below updated author contributions.

References

  1. Lehne B, Drong AW, Loh M, Zhang W, Scott WR, Tan S-T, et al. A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies. Genome Biol. 2015;16:37.

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    Authors and Affiliations

    1. Department of Epidemiology and Biostatistics, Imperial College London, London, W2 1PG, UK

      Benjamin Lehne, Marie Loh, Weihua Zhang, William R. Scott, Uzma Afzal, Marjo-Ritta Jarvelin, Paul Elliott & John C. Chambers

    2. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK

      Alexander W. Drong & Mark I. McCarthy

    3. Institute of Health Sciences, University of Oulu, P.O.Box 5000, Oulu, FI-90014, Finland

      Marie Loh & Marjo-Ritta Jarvelin

    4. Ealing Hospital NHS Trust, Middlesex, UB1 3HW, UK

      Weihua Zhang, Sian-Tsung Tan, Uzma Afzal, Jaspal S. Kooner & John C. Chambers

    5. National Heart and Lung Institute, Imperial College London, London, W12 0NN, UK

      William R. Scott, Sian-Tsung Tan, James Scott & Jaspal S. Kooner

    6. Division of Genetics and Molecular Medicine, King’s College London, London, UK

      Reiner Schulz

    7. Biocenter Oulu, University of Oulu, P.O.Box 5000, Aapistie 5A, Oulu, FI-90014, Finland

      Marjo-Ritta Jarvelin

    8. Unit of Primary Care, Oulu University Hospital, Kajaanintie 50, P.O.Box 20, FI-90220, Oulu, 90029 OYS, Finland

      Marjo-Ritta Jarvelin

    9. Department of Children and Young People and Families, National Institute for Health and Welfare, Aapistie 1, Box 310, FI-90101, Oulu, Finland

      Marjo-Ritta Jarvelin

    10. Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, UK

      Mark I. McCarthy, Jaspal S. Kooner & John C. Chambers

    11. Imperial College Healthcare NHS Trust, London, W12 0HS, UK

      Jaspal S. Kooner & John C. Chambers

    Authors
    1. Benjamin Lehne
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    2. Alexander W. Drong
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    3. Marie Loh
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    4. Weihua Zhang
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    5. William R. Scott
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    6. Sian-Tsung Tan
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    7. Uzma Afzal
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    8. Reiner Schulz
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    9. James Scott
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    10. Marjo-Ritta Jarvelin
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    11. Paul Elliott
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    12. Mark I. McCarthy
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    13. Jaspal S. Kooner
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    14. John C. Chambers
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    Corresponding authors

    Correspondence to Benjamin Lehne or John C. Chambers.

    Additional information

    Authors’ contributions

    Data analysis and implementation of analysis pipeline: BL, AD, ML, RS. Manuscript writing: BL, AD, ML, JCC. Intellectual guidance in data-analysis and interpretation: JCC, ML, WZ, WRS, STT, UA, JS, MRJ, PE, MIM, JSK. Project management: JSK, JCC.

    The online version of the original article can be found under doi:10.1186/s13059-015-0600-x.

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    Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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    Cite this article

    Lehne, B., Drong, A.W., Loh, M. et al. Erratum to: A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies. Genome Biol 17, 73 (2016). https://doi.org/10.1186/s13059-016-0934-z

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    • DOI: https://doi.org/10.1186/s13059-016-0934-z

    Genome Biology

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