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Lung Function in African American Children with Asthma Is Associated with Novel Regulatory Variants of the KIT Ligand KITLG/SCF and Gene-By-Air-Pollution Interaction.
Mak, Angel C Y; Sajuthi, Satria; Joo, Jaehyun; Xiao, Shujie; Sleiman, Patrick M; White, Marquitta J; Lee, Eunice Y; Saef, Benjamin; Hu, Donglei; Gui, Hongsheng; Keys, Kevin L; Lurmann, Fred; Jain, Deepti; Abecasis, Gonçalo; Kang, Hyun Min; Nickerson, Deborah A; Germer, Soren; Zody, Michael C; Winterkorn, Lara; Reeves, Catherine; Huntsman, Scott; Eng, Celeste; Salazar, Sandra; Oh, Sam S; Gilliland, Frank D; Chen, Zhanghua; Kumar, Rajesh; Martínez, Fernando D; Wu, Ann Chen; Ziv, Elad; Hakonarson, Hakon; Himes, Blanca E; Williams, L Keoki; Seibold, Max A; Burchard, Esteban G.
Afiliación
  • Mak ACY; Department of Medicine, University of California, San Francisco, California 94143 angelcymak@gmail.com.
  • Sajuthi S; Center for Genes, Environment, and Health, National Jewish Health, Denver, Colorado 80206.
  • Joo J; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Xiao S; Center for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan 48202.
  • Sleiman PM; Center for Applied Genomics, Children's Hospital of Philadelphia, Pennsylvania, 19104.
  • White MJ; Division of Human Genetics, Department of Pediatrics, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Lee EY; Department of Medicine, University of California, San Francisco, California 94143.
  • Saef B; Department of Medicine, University of California, San Francisco, California 94143.
  • Hu D; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Gui H; Department of Medicine, University of California, San Francisco, California 94143.
  • Keys KL; Center for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Health System, Detroit, Michigan 48202.
  • Lurmann F; Department of Medicine, University of California, San Francisco, California 94143.
  • Jain D; Berkeley Institute for Data Science, University of California, Berkeley, California 94720.
  • Abecasis G; Sonoma Technology, Petaluma, California 94954.
  • Kang HM; Department of Biostatistics, University of Washington, Seattle, Washington 98195.
  • Nickerson DA; Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109.
  • Germer S; Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109.
  • Zody MC; Department of Genome Sciences, University of Washington, Seattle, Washington 98195.
  • Winterkorn L; Northwest Genomics Center, Seattle, Washington, 98195.
  • Reeves C; Brotman Baty Institute for Precision Medicine, Seattle, Washington, 98195.
  • Huntsman S; New York Genome Center, New York, 10013.
  • Eng C; New York Genome Center, New York, 10013.
  • Salazar S; New York Genome Center, New York, 10013.
  • Oh SS; New York Genome Center, New York, 10013.
  • Gilliland FD; Department of Medicine, University of California, San Francisco, California 94143.
  • Chen Z; Department of Medicine, University of California, San Francisco, California 94143.
  • Kumar R; Department of Medicine, University of California, San Francisco, California 94143.
  • Martínez FD; Department of Medicine, University of California, San Francisco, California 94143.
  • Wu AC; Department of Preventive Medicine, Division of Environmental Health, Keck School of Medicine, University of Southern California, Los Angeles, California 90033.
  • Ziv E; Department of Preventive Medicine, Division of Environmental Health, Keck School of Medicine, University of Southern California, Los Angeles, California 90033.
  • Hakonarson H; Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois 60611.
  • Himes BE; Asthma and Airway Disease Research Center, University of Arizona, Tucson, Arizona 85721.
  • Williams LK; Precision Medicine Translational Research (PRoMoTeR) Center, Department of Population Medicine, Harvard Medical School and Pilgrim Health Care Institute, Boston, Massachusetts 02215.
  • Seibold MA; Department of Medicine, University of California, San Francisco, California 94143.
  • Burchard EG; Center for Applied Genomics, Children's Hospital of Philadelphia, Pennsylvania, 19104.
Genetics ; 215(3): 869-886, 2020 07.
Article en En | MEDLINE | ID: mdl-32327564
ABSTRACT
Baseline lung function, quantified as forced expiratory volume in the first second of exhalation (FEV1), is a standard diagnostic criterion used by clinicians to identify and classify lung diseases. Using whole-genome sequencing data from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine project, we identified a novel genetic association with FEV1 on chromosome 12 in 867 African American children with asthma (P = 1.26 × 10-8, ß = 0.302). Conditional analysis within 1 Mb of the tag signal (rs73429450) yielded one major and two other weaker independent signals within this peak. We explored statistical and functional evidence for all variants in linkage disequilibrium with the three independent signals and yielded nine variants as the most likely candidates responsible for the association with FEV1 Hi-C data and expression QTL analysis demonstrated that these variants physically interacted with KITLG (KIT ligand, also known as SCF), and their minor alleles were associated with increased expression of the KITLG gene in nasal epithelial cells. Gene-by-air-pollution interaction analysis found that the candidate variant rs58475486 interacted with past-year ambient sulfur dioxide exposure (P = 0.003, ß = 0.32). This study identified a novel protective genetic association with FEV1, possibly mediated through KITLG, in African American children with asthma. This is the first study that has identified a genetic association between lung function and KITLG, which has established a role in orchestrating allergic inflammation in asthma.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Asma / Volumen Espiratorio Forzado / Factor de Células Madre / Polimorfismo de Nucleótido Simple / Sitios de Carácter Cuantitativo / Contaminación del Aire / Interacción Gen-Ambiente Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Genetics Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Asma / Volumen Espiratorio Forzado / Factor de Células Madre / Polimorfismo de Nucleótido Simple / Sitios de Carácter Cuantitativo / Contaminación del Aire / Interacción Gen-Ambiente Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Genetics Año: 2020 Tipo del documento: Article