Pär Hallberg1, Matilda Persson1, Tomas Axelsson2, Marco Cavalli3, Pia Norling4, Hans-Erik Johansson5, Qun-Ying Yue6, Patrik Ke Magnusson7, Claes Wadelius3, Niclas Eriksson8, Mia Wadelius1. 1. Department of Medical Sciences, Clinical Pharmacology & Science for Life Laboratory, Uppsala University, Uppsala, Sweden. 2. Department of Medical Sciences, Molecular Medicine & Science for Life Laboratory, Uppsala University, Uppsala, Sweden. 3. Department of Immunology, Genetics & Pathology & Science for Life Laboratory, Uppsala University, Sweden. 4. Sickla Health Centre, Nacka, Sweden. 5. Department of Public Health & Caring Sciences/Geriatrics, Uppsala University, Uppsala, Sweden. 6. Medical Products Agency, Uppsala, Sweden. 7. Swedish Twin Registry, Department of Medical Epidemiology & Biostatistics, Karolinska Institutet, Stockholm. 8. Uppsala Clinical Research Center & Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Abstract
AIM: We conducted a genome-wide association study on angiotensin-converting enzyme inhibitor-induced cough and used our dataset to replicate candidate genes identified in previous studies. PATIENTS & METHODS: A total of 124 patients and 1345 treated controls were genotyped using Illumina arrays. The genome-wide significance level was set to p < 5 × 10-8. RESULTS: We identified nearly genome-wide significant associations in CLASP1, PDE11A, KCNMB2, TGFA, SLC38A6 and MMP16. The strongest association was with rs62151109 in CLASP1 (odds ratio: 3.97; p = 9.44 × 10-8). All top hits except two were located in intronic or noncoding DNA regions. None of the candidate genes were significantly associated in our study. CONCLUSION: Angiotensin-converting enzyme inhibitor-induced cough is potentially associated with genes that are independent of bradykinin pathways.
AIM: We conducted a genome-wide association study on angiotensin-converting enzyme inhibitor-induced cough and used our dataset to replicate candidate genes identified in previous studies. PATIENTS & METHODS: A total of 124 patients and 1345 treated controls were genotyped using Illumina arrays. The genome-wide significance level was set to p < 5 × 10-8. RESULTS: We identified nearly genome-wide significant associations in CLASP1, PDE11A, KCNMB2, TGFA, SLC38A6 and MMP16. The strongest association was with rs62151109 in CLASP1 (odds ratio: 3.97; p = 9.44 × 10-8). All top hits except two were located in intronic or noncoding DNA regions. None of the candidate genes were significantly associated in our study. CONCLUSION:Angiotensin-converting enzyme inhibitor-induced cough is potentially associated with genes that are independent of bradykinin pathways.
Entities:
Keywords:
angiotensin converting enzyme inhibitors; bradykinin; cough; drug-related side effects and adverse reactions; enalapril; genome-wide association study; lisinopril; pharmacogenetics; quinapril; ramipril
Authors: Philip W Rouadi; Samar A Idriss; Jean Bousquet; Tanya M Laidlaw; Cecilio R Azar; Mona S Al-Ahmad; Anahi Yañez; Maryam Ali Y Al-Nesf; Talal M Nsouli; Sami L Bahna; Eliane Abou-Jaoude; Fares H Zaitoun; Usamah M Hadi; Peter W Hellings; Glenis K Scadding; Peter K Smith; Mario Morais-Almeida; René Maximiliano Gómez; Sandra N Gonzalez Diaz; Ludger Klimek; Georges S Juvelekian; Moussa A Riachy; Giorgio Walter Canonica; David Peden; Gary W K Wong; James Sublett; Jonathan A Bernstein; Lianglu Wang; Luciana K Tanno; Manana Chikhladze; Michael Levin; Yoon-Seok Chang; Bryan L Martin; Luis Caraballo; Adnan Custovic; Jose Antonio Ortego-Martell; Olivia J Ly Lesslar; Erika Jensen-Jarolim; Motohiro Ebisawa; Alessandro Fiocchi; Ignacio J Ansotegui Journal: World Allergy Organ J Date: 2022-05-14 Impact factor: 5.516
Authors: Eva Rye Rasmussen; Pär Hallberg; Ekaterina V Baranova; Niclas Eriksson; Malgorzata Karawajczyk; Caroline Johansson; Marco Cavalli; Cyrielle Maroteau; Abirami Veluchamy; Gunilla Islander; Svante Hugosson; Ingrid Terreehorst; Folkert W Asselbergs; Pia Norling; Hans-Erik Johansson; Hugo Kohnke; Ann-Christine Syvänen; Moneeza K Siddiqui; Chim C Lang; Patrik K E Magnusson; Qun-Ying Yue; Claes Wadelius; Christian von Buchwald; Anette Bygum; Ana Alfirevic; Anke H Maitland-van der Zee; Colin N A Palmer; Mia Wadelius Journal: Pharmacogenomics J Date: 2020-02-21 Impact factor: 3.550