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Journal of Asthma Volume 60, 2023 - Issue 10
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Research Articles

Genetic analyses of chr11p15.5 region identify MUC5AC-MUC5B associated with asthma-related phenotypes

Xingnan Lia Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USACorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0002-1208-8658View further author information
, PhDORCID Icon,
Huashi Lia Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USAView further author information
, MS,
Stephanie A. Christensonb Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, CA, USAView further author information
, MD,
Mario Castroc Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USAView further author information
, MD,
Loren C. Denlingerd Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USAView further author information
, MD,
Serpil C. Erzurume Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, OH, USAView further author information
, MD,
John V. Fahyb Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, CA, USAView further author information
, MD,
Benjamin M. Gastonf Wells Center for Pediatric Research and Riley Hospital for Children, Indiana University, Indianapolis, IN, USAView further author information
, MD,
Elliot Israelg Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USAView further author information
, MD,
Nizar N. Jarjourd Department of Medicine, University of Wisconsin School of Medicine & Public Health, Madison, WI, USAView further author information
, MD,
Bruce D. Levyg Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USAORCID Iconhttps://orcid.org/0000-0001-9515-5731View further author information
, MDORCID Icon,
David T Maugerh Department of Public Health Sciences, College of Medicine, Penn State University, Hershey, PA, USAView further author information
, PhD,
Wendy C. Moorei Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USAView further author information
, MD,
Joe Zeine Lerner Research Institute and the Respiratory Institute, Cleveland Clinic, Cleveland, OH, USAView further author information
, MD,
Naftali Kaminskij Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USAView further author information
, MD,
Sally E. Wenzelk Department of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA, USAView further author information
, MD,
Prescott G. Woodruffb Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of California at San Francisco, San Francisco, CA, USAView further author information
, MD,
Eugene R. Bleeckera Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USAView further author information
, MD,
Deborah A. Meyersa Division of Genetics, Genomics and Precision Medicine, Department of Medicine, University of Arizona, Tucson, AZ, USAView further author information
, PhD & for the NHLBI Severe Asthma Research Program (SARP) show all
Pages 1824-1835 | Received 30 Jan 2023, Accepted 16 Mar 2023, Published online: 21 Apr 2023

Citations (2)

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Read on this site (1)

Huashi Li & Xingnan Li. (2023) Genetic relationships between high blood eosinophil count, asthma susceptibility, and asthma severity. Journal of Asthma 0:0, pages 1-13.
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Articles from other publishers (1)

Shaojun Chen, Jiahao Lv, Yiyuan Luo, Hongjiang Chen, Shuwei Ma & Lihua Zhang. (2023) Bioinformatic Analysis of Key Regulatory Genes in Adult Asthma and Prediction of Potential Drug Candidates. Molecules 28:10, pages 4100.
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