Genome-Wide Association Study in Patients With Nontuberculous Mycobacterial Lung Disease
Elucidation of Genetic Susceptibility of Patients With Nontuberculous Mycobacterial Lung Disease Using Genome-Wide Association Study
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Seoul, Korea, Republic of, 110-744
- Seoul National University Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
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
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / 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
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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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
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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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
Sponsor
Sponsor
Publications and helpful links
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
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- H-1605-111-763
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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