Published December 14, 2021 | Version v1
Dataset Open

Multi-Omic Approach Associates Blood Methylome with Bronchodilator Drug Response in Pediatric Asthma: Summary statistics

Creators

  • 1. Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, La Laguna, Spain
  • 2. Department of Medicine, University of California San Francisco, San Francisco, California, USA.
  • 3. University of Minnesota (UMN) Genomics Center, Minneapolis, MN, USA.
  • 4. Bay Area Pediatrics, Oakland, California, United States of America.
  • 5. Centro de Neumología Pediátrica, San Juan, Puerto Rico.
  • 6. Department of Neurology, University of California, Los Angeles, California; Department of Computational Medicine, University of California, Los Angeles
  • 7. Multidisciplinary Organ Dysfunction Evaluation Research Network (MODERN), Research Unit, Hospital Universitario Dr. Negrín, Las Palmas de Gran Canaria, Spain; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
  • 8. Department of Epidemiology & Biostatistics, Graduate School of Public Health & Health Policy, City University of New York, New York, NY, United States of America.
  • 9. Department of Medicine, University of California San Francisco, San Francisco, California, USA; Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA
  • 10. Genomics and Health Group, Department of Biochemistry, Microbiology, Cell Biology and Genetics, Universidad de La Laguna, La Laguna, Spain; CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain; Instituto de Tecnologías Biomédicas (ITB), Universidad de La Laguna, La Laguna, Spain

Description

We conducted an epigenome-wide association study of bronchodilator drug response (BDR) in a discovery and validation design. The discovery phase was focused on 221 African American children with asthma. The association between DNA methylation and BDR was conducted using the limma package correcting for age, sex, ancestry, and tissue heterogeneity. Summary statistics include the output from toptable limma function and CpG annotation (based on Illumina EPIC Manifest file v 1.0 B4) organized in the following columns:

  • Probe: Probe ID
  • Chr: chromosome
  • Pos: genomic position based on GRCh37/hg19
  • Gene: Gene annotation based on Illumina EPIC Manifest file v 1.0 B4
  • logFC: estimate of the log2-fold-change corresponding to the effect or contrast
  • SE: standard error
  • AveExpr: average log2-expression for the probe over all arrays and channels
  • t: moderated t-statistic
  • P.value: raw p-value
  • FDR: adjusted p-value by false discovery rate
  • B: log-odds that the gene is differentially expressed
  • Problem: Flagged potentially problematic probes

Files

Summary_statistics_EWAS_BDR_SAGE_Zenodo.txt

Files (139.6 MB)

Name Size Download all
md5:f8e667330b1ed9a31091a1633775d3f6
139.6 MB Preview Download

Additional details

Related works

Is published in
Journal article: 10.1016/j.jaci.2023.01.026 (DOI)