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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

Baseline lung function, quantified as forced expiratory volume in the first second of exhalation (FEV(1)), 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 f...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337089/
https://www.ncbi.nlm.nih.gov/pubmed/32327564
http://dx.doi.org/10.1534/genetics.120.303231
Descripción
Sumario:Baseline lung function, quantified as forced expiratory volume in the first second of exhalation (FEV(1)), 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 FEV(1) on chromosome 12 in 867 African American children with asthma (P = 1.26 × 10(−8), β = 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 FEV(1). 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, β = 0.32). This study identified a novel protective genetic association with FEV(1), 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.