henhaobio
Sign in

Life Science AllianceGenomicsPeer-reviewed journal article

De novo discovery of traits co-occurring with chronic obstructive pulmonary disease

Evgeniia GolovinaiD, Tayaza FadasoniD, Rachel K. JarosiD, Haribalan KumariD, Joyce JohniD, Kelly BurrowesiD, Merryn Howatson TawhaiiD, Justin Martin O'SullivaniD

PDFDOIPreprint

Abstract

Epidemiological research indicates that chronic obstructive pulmonary disease (COPD) is a heterogeneous group of chronic lung conditions that are typically accompanied by cardiovascular disease, depression, lung cancer and other conditions. Genome-wide association studies (GWAS) have identified single-nucleotide polymorphisms (SNPs) associated with COPD and the co-occuring conditions, suggesting common biological mechanisms underlying COPD and these co-occuring conditions. To identify them, we have integrated information across different biological levels (i.e. genetic variants, lung-specific 3D genome structure, gene expression and protein-protein interactions) to build lung-specific gene regulatory and protein-protein interaction networks. We have queried these networks using disease-associated SNPs for COPD, unipolar depression and coronary artery disease. Our results show that COPD-associated SNPs can control genes involved in the regulation of lung or pulmonary function, asthma, brain region volumes, cortical surface area, depressed affect, neuroticism, Parkinsons disease, white matter microstructure and smoking behaviour. We describe the regulatory connections, genes and biochemical pathways that underly these co-occuring trait-SNP-gene associations. Collectively, our findings provide new avenues for the investigation of the underlying biology and diverse clinical presentations of COPD. In so doing, we identify a collection of genetic variants and genes that may aid COPD patient stratification and treatment.

Citations
11
FWCI
1.77
Field percentile
top 14%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISSakornsakol '19Shrine '19Konigsberg '24Lamontagne '18Saferali '25Deritei '26
72% semantic matchGenetics
Phuwanat Sakornsakolpat, Dmitry Prokopenko, Maxime Lamontagne+95 more·Nature Genetics·Feb 25, 2019· 382 citations