Noise-augmented directional clustering of genetic association data identifies distinct mechanisms underlying obesity

• Andrew J. Grant ,

  Roles Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: andrew.grant@mrc-bsu.cam.ac.uk

  Affiliation MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom

  https://orcid.org/0000-0001-6422-583X

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• Dipender Gill,

  Roles Methodology, Writing – review & editing

  Affiliations Department of Epidemiology and Biostatistics, School of Public Health, St Mary’s Hospital, Imperial College London, London, United Kingdom, Clinical Pharmacology and Therapeutics Section, Institute of Medical and Biomedical Education and Institute for Infection and Immunity, St George’s, University of London, London, United Kingdom, Clinical Pharmacology Group, Pharmacy and Medicines Directorate, St George’s University Hospitals NHS Foundation Trust, London, United Kingdom, Novo Nordisk Research Centre Oxford, Old Road Campus, Oxford, United Kingdom

  https://orcid.org/0000-0001-7312-7078

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• Paul D. W. Kirk,

  Roles Methodology, Writing – review & editing

  Affiliations MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom, Cambridge Institute of Therapeutic Immunology & Infectious Disease (CITIID), University of Cambridge, Cambridge, United Kingdom

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• Stephen Burgess

  Roles Conceptualization, Methodology, Writing – original draft, Writing – review & editing

  Affiliations MRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom, Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom

  https://orcid.org/0000-0001-5365-8760

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