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Discovering metabolite quantitative trait loci in asthma using an isolated population.
Johnson, Randi K; Brunetti, Tonya; Quinn, Kevin; Doenges, Katrina; Campbell, Monica; Arehart, Christopher; Taub, Margaret A; Mathias, Rasika A; Reisdorph, Nichole; Barnes, Kathleen C; Daya, Michelle.
Afiliação
  • Johnson RK; Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo. Electronic address: randi.johnson@cuanschutz.edu.
  • Brunetti T; Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
  • Quinn K; Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo.
  • Doenges K; Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo.
  • Campbell M; Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
  • Arehart C; Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
  • Taub MA; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Md.
  • Mathias RA; Division of Allergy & Clinical Immunology, Department of Medicine, Johns Hopkins University, Baltimore, Md.
  • Reisdorph N; Department of Pharmaceutical Sciences, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colo.
  • Barnes KC; Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
  • Daya M; Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colo.
J Allergy Clin Immunol ; 149(5): 1807-1811.e16, 2022 05.
Article em En | MEDLINE | ID: mdl-34780848
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Asma / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Asma / Locos de Características Quantitativas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article