Daines , LukeBonnett , LJTibble, HollyBoyd, AndrewThomas, RPrice, DavidTurner, StephenLewis, Steff CSheikh, AzizPinnock, Hilary2023-05-042023-05-042023-09-07Daines , L, Bonnett , LJ, Tibble, H, Boyd, A, Thomas, R, Price, D, Turner, S, Lewis, S C, Sheikh, A & Pinnock, H 2023, 'Deriving and validating an asthma diagnosis prediction model for children and young people in primary care', Wellcome open research, vol. 8, no. 195, 195. https://doi.org/10.12688/wellcomeopenres.19078.22398-502Xhttps://hdl.handle.net/2164/20639Grant information: This work was supported by Wellcome [086118, https://doi.org/10.35802/086118], the UK Medical Research Council and the University of Bristol who provided core support for ALSPAC. LD was supported by a clinical academic fellowship from the Chief Scientist Office, Edinburgh (CAF/17/01). The ALSPAC data linkage programme and authors AB and RT were supported by the Medical Research Council (MR/L012081) and the Wellcome Trust [086118]. A comprehensive list of grants funding is available on the ALSPAC website (www.bristol.ac.uk/alspac/external/documents/grant-acknowledgements.pdf). Neither funder(s) nor sponsor (University of Edinburgh) contributed to the manuscript. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.201829475engAsthmaDiagnosisPrimary CareChildren and Young PeoplePrediction ModelALSPACElectronic Health RecordsR MedicineWellcome Trust086118Chief Scientist Office (CSO)CAF/17/01Medical Research Council (MRC)MR/L012081Supplementary DataB2830https://osf.io/kfz3n/15RDeriving and validating an asthma diagnosis prediction model for children and young people in primary careJournal article10.12688/wellcomeopenres.19078.28195