Integrative genomics identifies new genes associated with severe COPD and emphysema

Abstract Background Genome-wide association studies have identified several genetic risk loci for severe chronic obstructive pulmonary disease (COPD) and emphysema. However, these studies do not fully explain disease heritability and in most cases, fail to implicate specific genes. Integrative metho...

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Main Authors: Phuwanat Sakornsakolpat, Jarrett D. Morrow, Peter J. Castaldi, Craig P. Hersh, Yohan Bossé, Edwin K. Silverman, Ani Manichaikul, Michael H. Cho
Format: Article
Language:English
Published: BMC 2018-03-01
Series:Respiratory Research
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12931-018-0744-9
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spelling doaj-0c57857f88124eaa992bf00a579382142020-11-25T01:09:32ZengBMCRespiratory Research1465-993X2018-03-0119111310.1186/s12931-018-0744-9Integrative genomics identifies new genes associated with severe COPD and emphysemaPhuwanat Sakornsakolpat0Jarrett D. Morrow1Peter J. Castaldi2Craig P. Hersh3Yohan Bossé4Edwin K. Silverman5Ani Manichaikul6Michael H. Cho7Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s HospitalChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s HospitalChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s HospitalChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s HospitalDepartment of Molecular Medicine, Institut universitaire de cardiologie et de pneumologie de Québec, Laval UniversityChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s HospitalDepartment of Public Health Sciences, Center for Public Health Genomics and Biostatistics Section, University of VirginiaChanning Division of Network Medicine, Department of Medicine, Brigham and Women’s HospitalAbstract Background Genome-wide association studies have identified several genetic risk loci for severe chronic obstructive pulmonary disease (COPD) and emphysema. However, these studies do not fully explain disease heritability and in most cases, fail to implicate specific genes. Integrative methods that combine gene expression data with GWAS can provide more power in discovering disease-associated genes and give mechanistic insight into regulated genes. Methods We applied a recently described method that imputes gene expression using reference transcriptome data to genome-wide association studies for two phenotypes (severe COPD and quantitative emphysema) and blood and lung tissue gene expression datasets. We further tested the potential causality of individual genes using multi-variant colocalization. Results We identified seven genes significantly associated with severe COPD, and five genes significantly associated with quantitative emphysema in whole blood or lung. We validated results in independent transcriptome databases and confirmed colocalization signals for PSMA4, EGLN2, WNT3, DCBLD1, and LILRA3. Three of these genes were not located within previously reported GWAS loci for either phenotype. We also identified genetically driven pathways, including those related to immune regulation. Conclusions An integrative analysis of GWAS and gene expression identified novel associations with severe COPD and quantitative emphysema, and also suggested disease-associated genes in known COPD susceptibility loci. Trial registration NCT00608764, Registry: ClinicalTrials.gov, Date of Enrollment of First Participant: November 2007, Date Registered: January 28, 2008 (retrospectively registered); NCT00292552, Registry: ClinicalTrials.gov, Date of Enrollment of First Participant: December 2005, Date Registered: February 14, 2006 (retrospectively registered).http://link.springer.com/article/10.1186/s12931-018-0744-9Chronic obstructive pulmonary diseaseEmphysemaGenome-wide association studiesGene expression
collection DOAJ
language English
format Article
sources DOAJ
author Phuwanat Sakornsakolpat
Jarrett D. Morrow
Peter J. Castaldi
Craig P. Hersh
Yohan Bossé
Edwin K. Silverman
Ani Manichaikul
Michael H. Cho
spellingShingle Phuwanat Sakornsakolpat
Jarrett D. Morrow
Peter J. Castaldi
Craig P. Hersh
Yohan Bossé
Edwin K. Silverman
Ani Manichaikul
Michael H. Cho
Integrative genomics identifies new genes associated with severe COPD and emphysema
Respiratory Research
Chronic obstructive pulmonary disease
Emphysema
Genome-wide association studies
Gene expression
author_facet Phuwanat Sakornsakolpat
Jarrett D. Morrow
Peter J. Castaldi
Craig P. Hersh
Yohan Bossé
Edwin K. Silverman
Ani Manichaikul
Michael H. Cho
author_sort Phuwanat Sakornsakolpat
title Integrative genomics identifies new genes associated with severe COPD and emphysema
title_short Integrative genomics identifies new genes associated with severe COPD and emphysema
title_full Integrative genomics identifies new genes associated with severe COPD and emphysema
title_fullStr Integrative genomics identifies new genes associated with severe COPD and emphysema
title_full_unstemmed Integrative genomics identifies new genes associated with severe COPD and emphysema
title_sort integrative genomics identifies new genes associated with severe copd and emphysema
publisher BMC
series Respiratory Research
issn 1465-993X
publishDate 2018-03-01
description Abstract Background Genome-wide association studies have identified several genetic risk loci for severe chronic obstructive pulmonary disease (COPD) and emphysema. However, these studies do not fully explain disease heritability and in most cases, fail to implicate specific genes. Integrative methods that combine gene expression data with GWAS can provide more power in discovering disease-associated genes and give mechanistic insight into regulated genes. Methods We applied a recently described method that imputes gene expression using reference transcriptome data to genome-wide association studies for two phenotypes (severe COPD and quantitative emphysema) and blood and lung tissue gene expression datasets. We further tested the potential causality of individual genes using multi-variant colocalization. Results We identified seven genes significantly associated with severe COPD, and five genes significantly associated with quantitative emphysema in whole blood or lung. We validated results in independent transcriptome databases and confirmed colocalization signals for PSMA4, EGLN2, WNT3, DCBLD1, and LILRA3. Three of these genes were not located within previously reported GWAS loci for either phenotype. We also identified genetically driven pathways, including those related to immune regulation. Conclusions An integrative analysis of GWAS and gene expression identified novel associations with severe COPD and quantitative emphysema, and also suggested disease-associated genes in known COPD susceptibility loci. Trial registration NCT00608764, Registry: ClinicalTrials.gov, Date of Enrollment of First Participant: November 2007, Date Registered: January 28, 2008 (retrospectively registered); NCT00292552, Registry: ClinicalTrials.gov, Date of Enrollment of First Participant: December 2005, Date Registered: February 14, 2006 (retrospectively registered).
topic Chronic obstructive pulmonary disease
Emphysema
Genome-wide association studies
Gene expression
url http://link.springer.com/article/10.1186/s12931-018-0744-9
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