4.2 Article

Gene-based association identifies SPATA13-AS1 as a pharmacogenomic predictor of inhaled short-acting beta-agonist response in multiple population groups

期刊

PHARMACOGENOMICS JOURNAL
卷 14, 期 4, 页码 365-371

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/tpj.2013.49

关键词

adrenergic beta agonists; asthma; bronchodilator agents; genome-wide association study; lung function tests; pharmacogenomics

资金

  1. American Asthma Foundation
  2. Flight Attendant Medical Research Institute
  3. Fund for Henry Ford Hospital
  4. Robert Wood Johnson Foundation Amos Medical Faculty Development Program
  5. Sandler Foundation
  6. National Institutes of Health: National Institute of Allergy and Infectious Diseases [AI077439, AI079139, AI061774]
  7. National Heart Lung and Blood Institute [K23HL093023, HL078885, HL088133, HL079055, 5RC2HL101651]
  8. National Institute of Environmental Health Sciences [ES015794]
  9. National Institute of Diabetes and Digestive and Kidney diseases [DK064695]

向作者/读者索取更多资源

Inhaled short-acting beta-agonist (SABA) medication is commonly used in asthma patients to rapidly reverse airway obstruction and improve acute symptoms. We performed a genome-wide association study of SABA medication response using gene-based association tests. A linear mixed model approach was first used for single-nucleotide polymorphism associations, and the results were later combined using GATES to generate gene-based associations. Our results identified SPATA13-AS1 as being significantly associated with SABA bronchodilator response in 328 healthy African Americans. In replication, this gene was associated with SABA response among the two separate groups of African Americans with asthma (n=1073, P=0.011 and n=1968, P=0.014), 149 healthy African Americans (P=0.003) and 556 European Americans with asthma (P=0.041). SPATA13-AS1 was also associated with longitudinal SABA medication usage in the two separate groups of African Americans with asthma (n = 658, P=0.047 and n = 1968, P=0.025). Future studies are needed to delineate the precise mechanism by which SPATA13-AS1 may influence SABA response.

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