- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02832843
Genome-Wide Association Study in Patients With Nontuberculous Mycobacterial Lung Disease
December 12, 2019 updated by: Jae-Joon Yim, Seoul National University Hospital
Elucidation of Genetic Susceptibility of Patients With Nontuberculous Mycobacterial Lung Disease Using Genome-Wide Association Study
The aim of this study was to elucidate genetic susceptibility of patients with nontuberculous mycobacterial lung disease using genome-wide association study.
Study Overview
Status
Completed
Conditions
Detailed Description
Nontuberculous mycobacteria (NTM) are ubiquitous environmental organisms.
NTM lung disease is increasing, however, genetic susceptibility of patients with the disease have not been identified.
To elucidate the genetic susceptibility of NTM lung disease, the investigators perform a genome-wide association study (GWAS) including patients with NTM lung disease and healthy controls (case : control = 1 : 3).
The age-, sex-matched control group will be recruited from the Korean Healthy Twin Study.
Study Type
Observational
Enrollment (Actual)
2808
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Seoul, Korea, Republic of, 110-744
- Seoul National University Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 75 years (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients with NTM lung diseases and healthy control
Description
Inclusion Criteria:
- Case: Patients with NTM lung disease satisfying diagnostic criteria suggested by American Thoracic Society
- Control: Healthy subjects enrolled in the Korean Healthy Twin Study
Exclusion Criteria:
- Case: none
- Control: 1) Subjects who have respiratory symptoms including cough and sputum 2) Subjects who have abnormalities on chest radiography
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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NTM lung disease
Patients with NTM lung disease satisfying American Thoracic Society guidelines
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Healthy control
The age-, sex-matched control subjects without pulmonary diseases
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Finding of single nucleotide polymorphisms (SNPs) associated with the risk of NTM lung disease compared with controls
Time Frame: Baseline
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To identify SNPs related to NTM lung disease using logistic regression after controlling for confounders (GWAS statistical significance threshold, P < 5.00*E-08)
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Baseline
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Finding of SNPs associated with the risk of severe NTM lung disease compared with controls
Time Frame: Baseline
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To identify SNPs related to severe NTM lung disease compared with controls using logistic regression after controlling for confounders (GWAS statistical significance threshold, P < 5.00*E-08)
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Baseline
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Finding of SNPs associated with the risk of severe NTM lung disease compared with mild NTM lung disease
Time Frame: Baseline
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To identify SNPs related to severe NTM lung disease compared with mild NTM lung disease using logistic regression after controlling for confounders (GWAS statistical significance threshold, P < 5.00*E-08)
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Baseline
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Finding of SNPs associated with the risk of Mycobacterium avium complex lung disease versus M. abscessus lung disease versus controls
Time Frame: Baseline
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To identify SNPs related to Mycobacterium avium complex lung disease versus M. abscessus lung disease versus controls using multinomial logistic regression after controlling for confounders (GWAS statistical significance threshold, P < 5.00*E-08)
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Baseline
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Park YS, Lee CH, Lee SM, Yang SC, Yoo CG, Kim YW, Han SK, Shim YS, Yim JJ. Rapid increase of non-tuberculous mycobacterial lung diseases at a tertiary referral hospital in South Korea. Int J Tuberc Lung Dis. 2010 Aug;14(8):1069-71.
- Yim JJ, Kim HJ, Kwon OJ, Koh WJ. Association between microsatellite polymorphisms in intron II of the human Toll-like receptor 2 gene and nontuberculous mycobacterial lung disease in a Korean population. Hum Immunol. 2008 Sep;69(9):572-6. doi: 10.1016/j.humimm.2008.06.003. Epub 2008 Jul 3.
- Kim RD, Greenberg DE, Ehrmantraut ME, Guide SV, Ding L, Shea Y, Brown MR, Chernick M, Steagall WK, Glasgow CG, Lin J, Jolley C, Sorbara L, Raffeld M, Hill S, Avila N, Sachdev V, Barnhart LA, Anderson VL, Claypool R, Hilligoss DM, Garofalo M, Fitzgerald A, Anaya-O'Brien S, Darnell D, DeCastro R, Menning HM, Ricklefs SM, Porcella SF, Olivier KN, Moss J, Holland SM. Pulmonary nontuberculous mycobacterial disease: prospective study of a distinct preexisting syndrome. Am J Respir Crit Care Med. 2008 Nov 15;178(10):1066-74. doi: 10.1164/rccm.200805-686OC. Epub 2008 Aug 14.
- Lee AR, Lee J, Choi SM, Seong MW, Kim SA, Kim M, Chae KO, Lee JS, Yim JJ. Phenotypic, immunologic, and clinical characteristics of patients with nontuberculous mycobacterial lung disease in Korea. BMC Infect Dis. 2013 Nov 25;13:558. doi: 10.1186/1471-2334-13-558.
- Kim J, Seong MW, Kim EC, Han SK, Yim JJ. Frequency and clinical implications of the isolation of rare nontuberculous mycobacteria. BMC Infect Dis. 2015 Jan 9;15:9. doi: 10.1186/s12879-014-0741-7.
- Kwak N, Lee CH, Lee HJ, Kang YA, Lee JH, Han SK, Yim JJ. Non-tuberculous mycobacterial lung disease: diagnosis based on computed tomography of the chest. Eur Radiol. 2016 Dec;26(12):4449-4456. doi: 10.1007/s00330-016-4286-6. Epub 2016 Mar 5.
- Hill AV. Evolution, revolution and heresy in the genetics of infectious disease susceptibility. Philos Trans R Soc Lond B Biol Sci. 2012 Mar 19;367(1590):840-9. doi: 10.1098/rstb.2011.0275.
- Sung J, Cho SI, Lee K, Ha M, Choi EY, Choi JS, Kim H, Kim J, Hong KS, Kim Y, Yoo KY, Park C, Song YM. Healthy Twin: a twin-family study of Korea--protocols and current status. Twin Res Hum Genet. 2006 Dec;9(6):844-8. doi: 10.1375/183242706779462822.
- Li Y, Willer CJ, Ding J, Scheet P, Abecasis GR. MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol. 2010 Dec;34(8):816-34. doi: 10.1002/gepi.20533.
- Howie BN, Donnelly P, Marchini J. A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet. 2009 Jun;5(6):e1000529. doi: 10.1371/journal.pgen.1000529. Epub 2009 Jun 19.
- 1000 Genomes Project Consortium; Abecasis GR, Altshuler D, Auton A, Brooks LD, Durbin RM, Gibbs RA, Hurles ME, McVean GA. A map of human genome variation from population-scale sequencing. Nature. 2010 Oct 28;467(7319):1061-73. doi: 10.1038/nature09534. Erratum In: Nature. 2011 May 26;473(7348):544. Xue, Yali [added]; Cartwright, Reed A [added]; Altshuler, David L [corrected to Altshuler, David]; Kebbel, Andrew [corrected to Keebler, Jonathan]; Koko-Gonzales, Paula [corrected to Kokko-Gonzales, Paula]; Nickerson, Debbie A [corrected to Nickerson, Debo.
- Ritchie MD, Hahn LW, Roodi N, Bailey LR, Dupont WD, Parl FF, Moore JH. Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer. Am J Hum Genet. 2001 Jul;69(1):138-47. doi: 10.1086/321276. Epub 2001 Jun 11.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
July 11, 2016
Primary Completion (Actual)
November 20, 2017
Study Completion (Actual)
October 3, 2019
Study Registration Dates
First Submitted
July 3, 2016
First Submitted That Met QC Criteria
July 11, 2016
First Posted (Estimate)
July 14, 2016
Study Record Updates
Last Update Posted (Actual)
December 13, 2019
Last Update Submitted That Met QC Criteria
December 12, 2019
Last Verified
December 1, 2019
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- H-1605-111-763
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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