A weighted genetic risk score based on 279 signals of association with lung function predicts Chronic Obstructive Pulmonary Disease

L. Wain (Leicester, United Kingdom), N. Shrine (Leicester, United Kingdom), A. Guyatt (Leicester, United Kingdom), V. Jackson (Leicester, United Kingdom), A. Erzurumluoglu (Leicester, United Kingdom), C. Batini (Leicester, United Kingdom), N. Reeve (Leicester, United Kingdom), . Spirometa Consortium (Leicester, United Kingdom), . Lung Eqtl Study (Vancouver, Canada), B. Hobbs (Boston, MA, United States of America), M. Cho (Boston, MA, United States of America), D. Strachan (London, United Kingdom), A. Morris (Liverpool, United Kingdom), I. Hall (Nottingham, United Kingdom), M. Tobin (Leicester, United Kingdom)

Source: International Congress 2018 – Multiomics studies in epidemiology: what can they tell us?
Session: Multiomics studies in epidemiology: what can they tell us?
Session type: Oral Presentation
Number: 2188
Disease area: Airway diseases

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L. Wain (Leicester, United Kingdom), N. Shrine (Leicester, United Kingdom), A. Guyatt (Leicester, United Kingdom), V. Jackson (Leicester, United Kingdom), A. Erzurumluoglu (Leicester, United Kingdom), C. Batini (Leicester, United Kingdom), N. Reeve (Leicester, United Kingdom), . Spirometa Consortium (Leicester, United Kingdom), . Lung Eqtl Study (Vancouver, Canada), B. Hobbs (Boston, MA, United States of America), M. Cho (Boston, MA, United States of America), D. Strachan (London, United Kingdom), A. Morris (Liverpool, United Kingdom), I. Hall (Nottingham, United Kingdom), M. Tobin (Leicester, United Kingdom). A weighted genetic risk score based on 279 signals of association with lung function predicts Chronic Obstructive Pulmonary Disease. 2188

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