European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation

Accepted/In Press date: 24 August 2023

e-pub ahead of print date: 4 October 2023

Published date: 4 October 2023

Additional Information: Funding Information: For this work, A.B.-A., S.J.B. and L.P. were funded by the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No. 821511 (BIOMAP). The J.U. receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA. This publication reflects only the author’s view and the J.U. is not responsible for any use that may be made of the information it contains. A.B.A., M.K.S., J.L.M., and L.P. and work in a research unit funded by the UK Medical Research Council (MC_UU_00011/1 and MC_UU_00011/4). LP received funding from the British Skin Foundation (8010 Innovative Project) and the Academy of Medical Sciences Springboard Award, which is supported by the Wellcome Trust, The Government Department for Business, Energy and Industrial Strategy, the Global Challenges Research Fund and the British Heart Foundation [SBF003\1094]. S.J.B. holds a Wellcome Trust Senior Research Fellowship in Clinical Science [220875/Z/20/Z]. S.H. is supported by a Vera Davie Study and Research Sabbatical Bursary, NRF Thuthuka Grant (117721), NRF Competitive Support for Unrated Researcher (138072), MRC South Africa under a Self-initiated grant. M.S. has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 949906). Thanks to Sergi Sayols (developer of rrvgo), who provided additional code to alter the scatter plot produced by rrvgo to only display parent terms, and to Gibran Hemani (University of Bristol) who provided valuable guidance on the comparison of effects between ancestries. This publication is the work of the authors and LP will serve as guarantor for the contents of this paper. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol— http://www.bristol.ac.uk/acrc/ . Individual cohort acknowledgements are in the Supplementary Methods. Funding Information: For this work, A.B.-A., S.J.B. and L.P. were funded by the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No. 821511 (BIOMAP). The J.U. receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA. This publication reflects only the author’s view and the J.U. is not responsible for any use that may be made of the information it contains. A.B.A., M.K.S., J.L.M., and L.P. and work in a research unit funded by the UK Medical Research Council (MC_UU_00011/1 and MC_UU_00011/4). LP received funding from the British Skin Foundation (8010 Innovative Project) and the Academy of Medical Sciences Springboard Award, which is supported by the Wellcome Trust, The Government Department for Business, Energy and Industrial Strategy, the Global Challenges Research Fund and the British Heart Foundation [SBF003\1094]. S.J.B. holds a Wellcome Trust Senior Research Fellowship in Clinical Science [220875/Z/20/Z]. S.H. is supported by a Vera Davie Study and Research Sabbatical Bursary, NRF Thuthuka Grant (117721), NRF Competitive Support for Unrated Researcher (138072), MRC South Africa under a Self-initiated grant. M.S. has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 949906). Thanks to Sergi Sayols (developer of rrvgo), who provided additional code to alter the scatter plot produced by rrvgo to only display parent terms, and to Gibran Hemani (University of Bristol) who provided valuable guidance on the comparison of effects between ancestries. This publication is the work of the authors and LP will serve as guarantor for the contents of this paper. This work was carried out using the computational facilities of the Advanced Computing Research Centre, University of Bristol—http://www.bristol.ac.uk/acrc/. Individual cohort acknowledgements are in the Supplementary Methods. Publisher Copyright: © 2023, Springer Nature Limited.

Local EPrints ID: 483325

URI: http://eprints.soton.ac.uk/id/eprint/483325

DOI: doi:10.1038/s41467-023-41180-2

ISSN: 2041-1723

PURE UUID: deafed87-0895-4b7d-a7b8-e7f47113aca9

ORCID for Philip Titcombe: orcid.org/0000-0002-7797-8571

ORCID for Keith Godfrey: orcid.org/0000-0002-4643-0618

ORCID for Sheila Barton: orcid.org/0000-0003-4963-4242

ORCID for John Holloway: orcid.org/0000-0001-9998-0464

Date deposited: 27 Oct 2023 17:09

Last modified: 18 Mar 2024 03:27