Previous Article | Next Article 
Journal of Clinical Microbiology, February 2007, p. 409-414, Vol. 45, No. 2
0095-1137/07/$08.00+0 doi:10.1128/JCM.01459-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
Association between Mycobacterium tuberculosis Beijing/W Lineage Strain Infection and Extrathoracic Tuberculosis: Insights from Epidemiologic and Clinical Characterization of the Three Principal Genetic Groups of M. tuberculosis Clinical Isolates
Y. Kong,1
M. D. Cave,2,3
L. Zhang,1
B. Foxman,1
C. F. Marrs,1
J. H. Bates,4,5 and
Z. H. Yang*1
Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, Michigan,1
Central Arkansas Veterans Healthcare Center, Little Rock, Arkansas,2
Department of Neurobiology and Developmental Sciences, College of Medicine,3
Department of Epidemiology, College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas,4
Arkansas Department of Health, Little Rock, Arkansas5
Received 14 July 2006/
Returned for modification 1 October 2006/
Accepted 4 December 2006

ABSTRACT
Clinical strains of
Mycobacterium tuberculosis can be divided
into three principal genetic groups based on the single-nucleotide
polymorphisms at the
katG gene codon 463 and the
gyrA gene codon
95. One subgroup of genetic group 1, the Beijing/W lineage,
has been widely studied because of its worldwide distribution
and association with outbreaks. In order to increase our understanding
of the clinical and epidemiological relevance of the genetic
grouping of
M. tuberculosis clinical strains and the Beijing/W
lineage, we investigated the genetic grouping of 679 clinical
isolates of
M. tuberculosis, representing 96.3% of culture-confirmed
tuberculosis cases diagnosed in Arkansas between January 1996
and December 2000 using PCR and DNA sequencing. We assessed
the associations of infections by different genetic groups of
M. tuberculosis strains and infection by the Beijing/W lineage
strains with the clinical and epidemiological characteristics
of the patients using chi-square tests and multivariate logistic
regression analysis. Of the 679 study isolates, 676 fell into
one of the three principal genetic groups, with 63 (9.3%) in
group 1, 438 (64.8%) in group 2, and 175 (25.9%) in group 3.
After adjusting for potential confounding of age, gender, race/ethnicity,
human immunodeficiency virus serostatus, and
plcD genotype in
a multivariate logistic regression model, patients infected
by the Beijing/W lineage isolates were nearly three times as
likely as patients infected with the non-Beijing/W lineage isolates
to have an extrathoracic involvement (odds ratio [95% confidence
interval], 2.85 [1.33, 6.12]). Thus, the Beijing/W lineage strains
may have some special biological features that facilitate the
development of extrathoracic tuberculosis.

INTRODUCTION
The integration of molecular analysis of
Mycobacterium tuberculosis with an epidemiological analysis of clinical information provides
a new tool to assess possible associations between
M. tuberculosis strain type and the clinical and epidemiological characteristics
of the disease (
7,
15,
16,
28). Clinical strains of
M. tuberculosis complex, the causative pathogen of tuberculosis (TB), can be
divided into three principal genetic groups based on the combination
of single-nucleotide polymorphisms (SNPs) that occur at codon
463 of the
katG gene (
katG463) encoding catalase-peroxidase
and codon 95 of the
gyrA gene (
gyrA95) encoding the subunit
A of DNA gyrase (
22). However, our understanding of the clinical
and epidemiological relevance of such genetic grouping is limited.
Three previous studies conducted in two different regions of
the United States and one region in Italy explored the association
between genetic grouping and DNA fingerprint clustering of
M. tuberculosis (
8,
21,
22) that has been commonly used as a measurement
for TB transmission (
1). However, the findings of these studies
were inconsistent. Two studies showed that the clustered cases
were more likely to be caused by isolates in groups 1 and 2
than those in group 3, while the other study failed to demonstrate
an association. These studies have used different definitions
for clusters. Furthermore, not all the studies had access to
a comprehensive patient database that would allow a thorough
assessment of the relationship between the genetic grouping
of the study isolates and the clinical and epidemiological characteristics
of the study patients (
8,
21,
22).
The Beijing/W lineage of M. tuberculosis is a subgroup of the principal genetic group 1 of particular clinical and epidemiologic interest (3, 13, 22). Isolates are defined as Beijing/W lineage strains based on their distinct spoligotyping pattern, i.e., the presence of at least three of the spacers 35 to 43 used for spoligotyping and the absence of spacers 1 to 34 (17). The Beijing/W lineage strains are dominant in Asia (26), and their spread has been documented worldwide (12). The Beijing/W lineage strains were found to be related to outbreaks (3). Patients infected with the Beijing genotype strains were found to be more likely to have a febrile response than patients infected with non-Beijing genotype strains shortly after the start of treatment (25). In addition, the Beijing genotype strains have been found to elicit a nonprotective immune response in mice (19). These findings suggest that the Beijing/W lineage strains may have specific pathogenic features. By contrast, a study using a selected sample in The Netherlands did not find significant differences in chest X-ray presentations between patients infected with the Beijing genotype strains and patients infected with other strains (4). Thus, the clinical relevance of the Beijing/W lineage strain infection remains to be clarified.
Current TB control strategy and transmission models are based on the assumption that all M. tuberculosis clinical strains are equally transmitted and virulent (22). However, if strains belonging to different genetic groups or lineages have different biological attributes producing different epidemiological and clinical phenotypes, public health control strategies might be tailored accordingly. Thus, a better understanding of the clinical and epidemiological relevance of M. tuberculosis genetic grouping in general and the Beijing/W lineage in particular may allow the development of better strategies for TB control. In this study, we explored the epidemiologic and clinical relevance of the principal genetic groups and the Beijing/W lineage of M. tuberculosis, using an integrated approach that combines comparative genomics and epidemiological data analysis and a 5-year population-based, epidemiologically and clinically well-characterized isolate collection.

MATERIALS AND METHODS
Study sample and patient data.
One
M. tuberculosis isolate from each of 679 culture-confirmed
TB patients diagnosed in Arkansas between 1 January 1996 and
31 December 2000 was used in this study. The study sample included
all available isolates, representing 96.3% of all the culture-confirmed
cases (705) diagnosed during the study period. Patient demographics
and social behaviors as well as clinical characteristics of
the diseases were obtained from the surveillance records of
the Arkansas Department of Health. No statistically significant
difference in the distribution of the variables used was found
between the study sample and the excluded 26 cases. Genomic
DNA was extracted from Lowenstein-Jensen slant cultures using
standard procedures (
20). The isolates were defined as clustered
versus unique by a combination of the IS
6110 restriction fragment-length
polymorphism (RFLP) analysis and the pTBN12 secondary fingerprinting
using the definition described previously (
2,
6). Spoligotyping
results were available for 675 isolates. Thirty-seven of these
isolates were classified as the Beijing/W lineage strains based
on the Beijing/W lineage-specific spoligotype S00034. The genotypes
of the four
plc genes of all isolates determined in a previous
study were also available to this study (
16,
28). The study
protocols for human subject protection were approved by the
Health Sciences Institutional Review Boards of the University
of Michigan and the University of Arkansas for Medical Sciences.
PCR and DNA sequencing.
The SNPs at katG463 and gyrA95 were investigated by PCR assay and sequencing described previously (24). Double-stranded sequences were obtained for each PCR product using the PCR primers. Sequence comparison was performed using EditSeq 5.02 and MegAlign 5.01 software (DNAStar Inc., Madison, WI). Isolates were assigned to one of the three principal genetic groups based on the SNPs found in katG463 and gyrA95 as described previously (22).
Statistical analysis.
Two different analytical comparisons for answering two related but different questions were performed. We first analyzed the distribution of patient demographics among the three principal genetic groups to assess whether or not the infection of M. tuberculosis isolates of a given genetic group or a specific genetic lineage is associated with a given demographic or clinical/epidemiological category of the patients using the chi-square (
2) test or Fisher's exact test, as appropriate. A stratified
2 test was used to adjust for confounding factors, as there were only two variables that were considered to be confounders. Second, we analyzed the association between genetic grouping of the infecting isolates and the clinical characteristics using a multivariate logistic regression model to adjust for potential confounders. Potentially confounding variables included age, which was found to be associated with genetic grouping in the first analytic comparison, and several previously identified risk factors for extrathoracic TB, including human immunodeficiency virus (HIV) seropositive status, non-Hispanic black race/ethnicity, being female, and the infection of M. tuberculosis isolates with a mutant plcD gene (16, 28).
The disease sites were classified into thoracic and extrathoracic using the definitions described previously (28). Briefly, thoracic TB was defined as disease sites confined to the lung, pleura, and intrathoracic lymph nodes, while the extrathoracic TB were cases having extrathoracic disease with or without concurrent disease within the thoracic cavity. Considering the likelihood of relatedness among the cases within the same cluster defined by IS6110 RFLP and pTBN12 pattern, we used generalized estimating equations (GEE) (18, 29) to control for potential intracluster dependence when we assessed the associations between the genetic grouping of M. tuberculosis isolates and the clinical characteristics of the disease and the associations between the Beijing/W lineage infection and the clinical characteristics of the disease. GEE takes the within-cluster similarity into account when calculating standard errors of the regression parameters. The magnitude of the associations was estimated using the odds ratio (OR) and 95% confidence intervals (95% CI). Logistic regression models with GEE were used to control for potential confounders. All the statistical analyses were done using SAS version 8.0 (SAS Institute, Cary, NC).

RESULTS
Distribution of three principal genetic groups.
Six hundred seventy-six of the 679 study isolates were classifiable
into one of the three principal genetic groups. Sequencing of
these PCR products showed the presence of the three previously
reported combinations of
katG463 and
gyrA95 polymorphisms. Among
the 676 isolates, 63 (9.3%), 438 (64.8%), and 175 (25.9%) were
classified into principal groups 1, 2, and 3, respectively.
The remaining three isolates failed to generate a PCR product
containing
katG463, and one of the three isolates also failed
to generate a product in PCR targeting
gyrA95. The suitability
of the DNA of this isolate for PCR was affirmed by amplification
of the 16S rRNA gene.
Comparison of genetic diversity among three principal genetic groups.
The frequency distribution of IS6110 copy number determined using 353 unique isolates and 91 isolates randomly selected from each of the 91 clusters differed among the three genetic groups (Fig. 1). Isolates in group 1 had the broadest range of IS6110 copy numbers. There were no isolates having less than five copies of IS6110 in group 3 and no isolates having more than 17 copies of IS6110 in group 2. Single-copy isolates were found almost exclusively in group 1. Group 1 had more genetic variations in the plcA, plcB, plcC, and plcD genes than those in group 2 or 3 (Table 1).
View this table:
[in this window]
[in a new window]
|
TABLE 1. Frequency distribution of low-copy ( 6) and high-copy (>6) IS6110 RFLPs and polymorphisms of the plc genes among the three principal genetic groups of M. tuberculosis strains obtained from Arkansas between 1 January 1996 and 31 December 2000 (n = 444)
|
Distribution of selected patient demographics among the three genetic groups.
We observed statistically significant differences in the distributions
of the patients' race/ethnicity and age among the three principal
genetic groups (Table
2). Compared with patients infected by
groups 2 and 3, patients infected by the group 1 isolates were
more likely to be of Asian origin (for group 1 versus groups
2: OR [95% CI], 64.94 [23.58, 178.81]; for group 1 versus group
3: OR [95% CI], 64.87 [14.76, 285.09]) and were less likely
to be 65 or older (for group 1 versus group 2: OR [95% CI],
0.22 [0.11, 0.41]; for group 1 versus group 3: OR [95% CI],
0.18 [0.09, 0.37]).
View this table:
[in this window]
[in a new window]
|
TABLE 2. Frequency distribution of patient age and race/ethnicity among the three principal genetic groups of clinical isolates of M. tuberculosis (n = 676) obtained from Arkansas between 1 January 1996 and 31 December 2000
|
Further analyses of the age distribution among the three genetic
groups were restricted to non-Asian/Pacific Islanders to examine
if the age distribution among the three genetic groups was confounded
by Asian origin. Significant differences in the age distribution
among the three principal genetic groups were also found in
non-Asian/Pacific Islanders (
P = 0.0095). The proportion of
people older than 65 in non-Asian/Pacific Islanders was 25.0%
in group 1, 52.9% in group 2, and 56.7% in group 3. In addition,
the race/ethnicity distribution among the three genetic groups
was analyzed, stratifying by age, to examine if the different
race/ethnicity distribution among the three genetic groups described
above had been confounded by age. Significant differences in
the race/ethnicity distribution among the three principal genetic
groups were found in both patients aged 65 or older (
P <
0.0001) and in patients younger than 65 (
P < 0.0001). Among
people younger than 65, the proportions of Asian origin in genetic
groups 1, 2, and 3 were 47.1%, 2.4%, and 2.6%, respectively;
among those aged 65 or older, the proportions of Asian origin
were 25.0%, 0.0%, and 0.0% in groups 1, 2, and 3, respectively.
Distribution of clinical characteristics.
Of the 676 isolates classifiable into one of the three principal genetic groups, 78 were related to cases with an extrathoracic involvement and 598 were related to thoracic cases. Of the 630 patients who had thoracic involvement, 579 had chest radiographs available for the study and 581 had sputum smear results. Based on the chest radiographs, 215 cases had cavitation in the lungs. Of the 581 cases with sputum smear results, 250 were smear positive. The distribution of three clinical characteristics, including site of disease, cavitation in the lungs, and sputum smear positivity, among the three genetic groups were analyzed using a
2 test or Fisher's exact test. No significantly different distribution of cavitation in the lungs or positive sputum smear was found among the three genetic groups (data not shown). However, the proportion of extrathoracic involvement in group 1 (17.5%) was larger than those in group 2 (10.0%) and group 3 (13.1%).
Association between genetic grouping and site of disease.
The group 1 isolates occur more frequently in patients with extrathoracic TB than the group 2 isolates (14.1% versus 8.7%) (Table 3). When using group 2 as a referent, a significant association between infection by group 1 isolates and the extrathoracic involvement was found in a multivariate logistic regression analysis adjusting for age and HIV serostatus, race/ethnicity, sex, and plcD genotype (16, 28) (Table 4).
View this table:
[in this window]
[in a new window]
|
TABLE 3. Frequency distribution of genetic groups, Beijing/W lineage, age, gender, race/ethnicity, HIV serostatus, and plcD genotype between the two sites of disease assessed by bivariate 2 test or Fisher's exact test
|
Association between the Beijing/W lineage and site of disease.
We were concerned that the association between genetic group
1 and extrathoracic TB might be driven by the presence of the
Beijing/W lineage, as this lineage is a subgroup of group 1.
To address this concern, we performed a bivariate analysis and
a multivariate logistic regression analysis separating group
1 into the Beijing/W lineage group 1 and the non-Beijing/W lineage
group 1. The Beijing/W lineage in group 1 was found to be significantly
associated with extrathoracic TB using group 2 as a referent
in both bivariate (crude OR [95% CI], 2.46 [1.06, 5.72]) and
multivariate analyses (adjusted OR [95% CI], 3.06 [1.39, 6.73]);
however, the non-Beijing/W lineage group 1 isolate infection
was not (crude OR [95% CI], 1.22 [0.35, 4.23]; adjusted OR [95%
CI], 1.39 [0.29, 6.72]). We further compared the Beijing/W lineage-infected
cases (
n = 37) with all the non-Beijing lineage isolate-infected
cases (
n = 637) (Tables
3 and
4). In the multivariate logistic
regression analysis, the Beijing/W lineage was significantly
associated with extrathoracic TB in comparison with the non-Beijing/W
lineage after controlling for age and other known risk factors
for extrathoracic involvement (Table
4).
Association between genetic grouping and DNA fingerprint clustering.
Cases with isolates belonging to the same cluster, defined by a combination of IS6110 RFLP and pTBN12 secondary fingerprinting, are usually considered to be caused by TB transmissions that have occurred either at present or in the remote past (5, 11). We analyzed the frequency distribution of clustered strains among the three genetic groups with a sample consisting of 353 unique isolates and 91 isolates randomly selected from each of the 91 clusters identified during the study time period. In addition, in order to compare the results with those of a previous study (22), which defined a cluster as having more than five cases, we also conducted a similar analysis by studying only clusters having more than five cases. No statistically significant association was found between clustering and genetic grouping using either definition of clustering.

DISCUSSION
In order to increase our understanding of the clinical and epidemiological
relevance of genetic grouping of
M. tuberculosis clinical strains,
we conducted a population-based study including analysis of
679 isolates from 679 patients diagnosed in Arkansas between
1 January 1996 and 31 December 2000. Patients infected by principal
genetic group 1 isolates were more likely to have extrathoracic
involvement than those infected by group 2 isolates. However,
this association was driven by the association of infection
by the Beijing/W lineage isolates, a subgroup of group 1, with
extrathoracic involvement. In addition, we found that patients
of Asian origin were the largest ethnic subgroup among group
1-infected patients, accounting for 42.9%; patients infected
by the group 1 isolates were younger than those infected by
the groups 2 and 3; and isolates in group 1 tended to have more
genetic variations than those in groups 2 and 3 in terms of
the range of the IS
6110 copy number and the
plc gene genotypes.
Although Beijing/W lineage strains have been hypothesized to be more virulent than non-Beijing/W lineage strains, few population-based studies that integrate molecular data with patient information have been conducted to date. Using a selected sample of 109 clinical isolates representing 33 strains of the Beijing genotype and 76 selected control strains of the non-Beijing genotypes from The Netherlands, Borgdorff et al. found no difference in chest X-ray presentations between infection by strains having the Beijing genotype and the infection by strains having the non-Beijing genotypes (4). Consistent with Borgdorff et al., we found similar pulmonary pathology between Beijing/W lineage isolate-infected individuals and those infected by the non-Beijing/W lineage isolates in terms of cavitation in lungs (44.8% versus 36.7%) and sputum smear positivity (50.0% versus 42.5%). However, we observed a statistically significant association (OR [95% CI], 2.85 [1.33, 6.12]) between the infection of Beijing/W lineage and extrathoracic TB, although the sample size of extrathoracic TB patients infected with Beijing/W lineage is relatively small (n = 8). The association between infection of the Beijing/W lineage isolates and extrathoracic TB remains to be further assessed using a study sample that contains a larger number of the extrathoracic TB patients infected with Beijing/W lineage isolates.
The overrepresentation of patients of Asian origin among patients infected with group 1 isolates is consistent with a previous report by Rhee and colleagues based on information from 419 United States-born TB patients diagnosed in San Francisco during the time period from 1991 through 1997 (21). However, in our study, the proportion of patients of Asian origin among the group 1 isolate-infected individuals was much higher than that found by the previous study (42.9% versus 14.8%). We found that 79% (27/34) of the patients of Asian origin were infected by an isolate belonging to group 1, which is twice as many as that found in San Francisco (9/22; 40.1%). One possible explanation is that the majority (33/34; 97.1%) of the Asian patients in our study were immigrants, whereas the San Francisco study only included the United States-born population. Our data support the previous notion that geographic separation might result in the establishment of a stable relationship between a distinct M. tuberculosis subpopulation and its host population (9, 10, 14).
Patients infected by the genetic group 1 isolates were younger than patients infected by isolates from groups 2 and 3. It was reported previously that the proportion of TB cases attributable to recent transmission is higher for young individuals than for the elderly (27). Thus, infections caused by isolates from group 1 are more likely to have resulted from recent transmissions than infections caused by isolates belonging to the other two groups. However, we did not observe an association between group 1 and genotyping-defined clustering. As clustering based on genotyping result could reflect both current and remote transmission (5, 11), Arkansas is a state with a stable and dispersed population, and the average age of TB patients in Arkansas is above the national average (5), it is possible that we could not differentiate clusters representing current transmission from those resulting from remote transmission. This kind of nondifferential misclassification tends to bias the result towards that of no association (23).
The group 1 isolates showed more genetic variations in the plc genes and a broader range of the IS6110 copy number than groups 2 and 3. This provides an additional support for the hypothesis that group 1 is evolutionarily older than groups 2 and 3 and therefore had more time to accumulate divergence (13, 22).
In conclusion, our results suggest that strains belonging to different genetic groups or lineages may have different potentials for virulence and pathogenicity. Clinical and epidemiological characterization of the major M. tuberculosis subpopulations circulating in different geographic regions is an essential step to developing better diagnostics, therapeutics, and vaccines for future TB control.

ACKNOWLEDGMENTS
This study was supported by a grant from the National Institutes
of Health (grant no. NIH-R01-AI151975).
We are indebted to Annadell H. Fowler, Don Cuningham, Bill Starrett, and Deborah Witonski for their valuable efforts that contributed to patient data and M. tuberculosis isolate collection and DNA fingerprinting of the study isolates. We acknowledge Kashef Ijaz's contribution to the establishment of the Arkansas Department of Health's surveillance database that was used for the study. We thank Dong Yang for her excellent technical assistance in the preparation of the genomic DNA of the study isolates and both Sarah Talarico and Dong Yang for their contribution to the collection of part of the genetic grouping data.

FOOTNOTES
* Corresponding author. Mailing address: Epidemiology Department, School of Public Health, University of Michigan, 109 S. Observatory Street, Ann Arbor, MI 48109-2029. Phone: (734) 763-4296. Fax: (734) 764-3192. E-mail:
zhenhua{at}umich.edu.

Published ahead of print on 13 December 2006. 

REFERENCES
1 - Barnes, P. F., and M. D. Cave. 2003. Molecular epidemiology of tuberculosis. N. Engl. J. Med. 349:1149-1156.[Free Full Text]
2 - Barnes, P. F., Z. Yang, S. Preston-Martin, J. M. Pogoda, B. E. Jones, M. Otaya, K. D. Eisenach, L. Knowles, S. Harvey, and M. D. Cave. 1997. Patterns of tuberculosis transmission in central Los Angeles. JAMA 278:1159-1163.[Abstract/Free Full Text]
3 - Bifani, P. J., B. Mathema, N. E. Kurepina, and B. N. Kreiswirth. 2002. Global dissemination of the Mycobacterium tuberculosis W-Beijing family strains. Trends Microbiol. 10:45-52.[CrossRef][Medline]
4 - Borgdorff, M. W., H. Van Deutekom, P. E. De Haas, K. Kremer, and D. Van Soolingen. 2004. Mycobacterium tuberculosis, Beijing genotype strains not associated with radiological presentation of pulmonary tuberculosis. Tuberculosis (Edinburgh) 84:337-340.[CrossRef]
5 - Braden, C. R., G. L. Templeton, M. D. Cave, S. Valway, I. M. Onorato, K. G. Castro, D. Moers, Z. Yang, W. W. Stead, and J. H. Bates. 1997. Interpretation of restriction fragment length polymorphism analysis of Mycobacterium tuberculosis isolates from a state with a large rural population. J. Infect. Dis. 175:1446-1452.[Medline]
6 - Chaves, F., Z. Yang, H. el Hajj, M. Alonso, W. J. Burman, K. D. Eisenach, F. Dronda, J. H. Bates, and M. D. Cave. 1996. Usefulness of the secondary probe pTBN12 in DNA fingerprinting of Mycobacterium tuberculosis. J. Clin. Microbiol. 34:1118-1123.[Abstract]
7 - Dale, J. W., G. H. Bothamley, F. Drobniewski, S. H. Gillespie, T. D. McHugh, and R. Pitman. 2005. Origins and properties of Mycobacterium tuberculosis isolates in London. J. Med. Microbiol. 54:575-582.[Abstract/Free Full Text]
8 - Dolzani, L., M. Rosato, B. Sartori, E. Banfi, C. Lagatolla, M. Predominato, C. Fabris, E. Tonin, F. Gombac, and C. Monti-Bragadin. 2004. Mycobacterium tuberculosis isolates belonging to katG gyrA group 2 are associated with clustered cases of tuberculosis in Italian patients. J. Med. Microbiol. 53:155-159.[Abstract/Free Full Text]
9 - Filliol, I., A. S. Motiwala, M. Cavatore, W. Qi, M. H. Hazbon, M. Bobadilla del Valle, J. Fyfe, L. Garcia-Garcia, N. Rastogi, C. Sola, T. Zozio, M. I. Guerrero, C. I. Leon, J. Crabtree, S. Angiuoli, K. D. Eisenach, R. Durmaz, M. L. Joloba, A. Rendon, J. Sifuentes-Osornio, A. Ponce de Leon, M. D. Cave, R. Fleischmann, T. S. Whittam, and D. Alland. 2006. Global phylogeny of Mycobacterium tuberculosis based on single nucleotide polymorphism (SNP) analysis: insights into tuberculosis evolution, phylogenetic accuracy of other DNA fingerprinting systems, and recommendations for a minimal standard SNP set. J. Bacteriol. 188:759-772.[Abstract/Free Full Text]
10 - Gagneux, S., K. Deriemer, T. Van, M. Kato-Maeda, B. C. de Jong, S. Narayanan, M. Nicol, S. Niemann, K. Kremer, M. C. Gutierrez, M. Hilty, P. C. Hopewell, and P. M. Small. 2006. Variable host-pathogen compatibility in Mycobacterium tuberculosis. Proc. Natl. Acad. Sci. USA 103:2869-2873.[Abstract/Free Full Text]
11 - Glynn, J. R., E. Vynnycky, and P. E. Fine. 1999. Influence of sampling on estimates of clustering and recent transmission of Mycobacterium tuberculosis derived from DNA fingerprinting techniques. Am. J. Epidemiol. 149:366-371.[Abstract/Free Full Text]
12 - Glynn, J. R., J. Whiteley, P. J. Bifani, K. Kremer, and D. van Soolingen. 2002. Worldwide occurrence of Beijing/W strains of Mycobacterium tuberculosis: a systematic review. Emerg. Infect. Dis. 8:843-849.[Medline]
13 - Gutacker, M. M., J. C. Smoot, C. A. Migliaccio, S. M. Ricklefs, S. Hua, D. V. Cousins, E. A. Graviss, E. Shashkina, B. N. Kreiswirth, and J. M. Musser. 2002. Genome-wide analysis of synonymous single nucleotide polymorphisms in Mycobacterium tuberculosis complex organisms: resolution of genetic relationships among closely related microbial strains. Genetics 162:1533-1543.[Abstract/Free Full Text]
14 - Hirsh, A. E., A. G. Tsolaki, K. DeRiemer, M. W. Feldman, and P. M. Small. 2004. Stable association between strains of Mycobacterium tuberculosis and their human host populations. Proc. Natl. Acad. Sci. USA 101:4871-4876.[Abstract/Free Full Text]
15 - Kato-Maeda, M., J. T. Rhee, T. R. Gingeras, H. Salamon, J. Drenkow, N. Smittipat, and P. M. Small. 2001. Comparing genomes within the species Mycobacterium tuberculosis. Genome Res. 11:547-554.[Abstract/Free Full Text]
16 - Kong, Y., M. D. Cave, D. Yang, L. Zhang, C. F. Marrs, B. Foxman, J. H. Bates, F. Wilson, L. N. Mukasa, and Z. H. Yang. 2005. Distribution of insertion- and deletion-associated genetic polymorphisms among four Mycobacterium tuberculosis phospholipase C genes and associations with extrathoracic tuberculosis: a population-based study. J. Clin. Microbiol. 43:6048-6053.[Abstract/Free Full Text]
17 - Kremer, K., J. R. Glynn, T. Lillebaek, S. Niemann, N. E. Kurepina, B. N. Kreiswirth, P. J. Bifani, and D. van Soolingen. 2004. Definition of the Beijing/W lineage of Mycobacterium tuberculosis on the basis of genetic markers. J. Clin. Microbiol. 42:4040-4049.[Abstract/Free Full Text]
18 - Liang, K., and S. Zeger. 1986. Longitudinal data analysis using generalized linear models. Biometrika 73:13-22.[Abstract/Free Full Text]
19 - Lopez, B., D. Aguilar, H. Orozco, M. Burger, C. Espitia, V. Ritacco, L. Barrera, K. Kremer, R. Hernandez-Pando, K. Huygen, and D. van Soolingen. 2003. A marked difference in pathogenesis and immune response induced by different Mycobacterium tuberculosis genotypes. Clin. Exp. Immunol. 133: 30-37.[CrossRef][Medline]
20 - Murray, M. G., and W. F. Thompson. 1980. Rapid isolation of high molecular-weight plant DNA. Nucleic Acids Res. 8:4321-4325.[Abstract/Free Full Text]
21 - Rhee, J. T., A. S. Piatek, P. M. Small, L. M. Harris, S. V. Chaparro, F. R. Kramer, and D. Alland. 1999. Molecular epidemiologic evaluation of transmissibility and virulence of Mycobacterium tuberculosis. J. Clin. Microbiol. 37:1764-1770.[Abstract/Free Full Text]
22 - Sreevatsan, S., X. Pan, K. E. Stockbauer, N. D. Connell, B. N. Kreiswirth, T. S. Whittam, and J. M. Musser. 1997. Restricted structural gene polymorphism in the Mycobacterium tuberculosis complex indicates evolutionarily recent global dissemination. Proc. Natl. Acad. Sci. USA 94:9869-9874.[Abstract/Free Full Text]
23 - Szklo, M., and F. J. Nieto. 2000. Part III. Threats to validity and issues of interpretation. Chapter 4. Understanding lack of validity: bias, p. 125-176. In M. a. N. Szklo and F. Javier (ed.), Epidemiology: beyond the basics. Aspen Publications, Gaitherburg, MD.
24 - Talarico, S., R. Durmaz, and Z. Yang. 2005. Insertion- and deletion-associated genetic diversity of Mycobacterium tuberculosis phospholipase C-encoding genes among 106 clinical isolates from Turkey. J. Clin. Microbiol. 43:533-538.[Abstract/Free Full Text]
25 - van Crevel, R., R. H. Nelwan, W. de Lenne, Y. Veeraragu, A. G. van der Zanden, Z. Amin, J. W. van der Meer, and D. van Soolingen. 2001. Mycobacterium tuberculosis Beijing genotype strains associated with febrile response to treatment. Emerg. Infect. Dis. 7:880-883.[Medline]
26 - van Soolingen, D., L. Qian, P. E. de Haas, J. T. Douglas, H. Traore, F. Portaels, H. Z. Qing, D. Enkhsaikan, P. Nymadawa, and J. D. van Embden. 1995. Predominance of a single genotype of Mycobacterium tuberculosis in countries of east Asia. J. Clin. Microbiol. 33:3234-3238.[Abstract]
27 - Vynnycky, E., N. Nagelkerke, M. W. Borgdorff, D. van Soolingen, J. D. van Embden, and P. E. Fine. 2001. The effect of age and study duration on the relationship between clustering of DNA fingerprint patterns and the proportion of tuberculosis disease attributable to recent transmission. Epidemiol. Infect. 126:43-62.[Medline]
28 - Yang, Z., D. Yang, Y. Kong, L. Zhang, C. F. Marrs, B. Foxman, J. H. Bates, F. Wilson, and M. D. Cave. 2005. Clinical relevance of Mycobacterium tuberculosis plcD gene mutations. Am. J. Respir. Crit. Care Med. 171:1436-1442.[Abstract/Free Full Text]
29 - Zeger, S. L., and K. Y. Liang. 1986. Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42:121-130.[CrossRef][Medline]
Journal of Clinical Microbiology, February 2007, p. 409-414, Vol. 45, No. 2
0095-1137/07/$08.00+0 doi:10.1128/JCM.01459-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
This article has been cited by other articles:
-
Reed, M. B., Pichler, V. K., McIntosh, F., Mattia, A., Fallow, A., Masala, S., Domenech, P., Zwerling, A., Thibert, L., Menzies, D., Schwartzman, K., Behr, M. A.
(2009). Major Mycobacterium tuberculosis Lineages Associate with Patient Country of Origin. J. Clin. Microbiol.
47: 1119-1128
[Abstract]
[Full Text]
-
Hazbon, M. H., Motiwala, A. S., Cavatore, M., Brimacombe, M., Whittam, T. S., Alland, D.
(2008). Convergent Evolutionary Analysis Identifies Significant Mutations in Drug Resistance Targets of Mycobacterium tuberculosis. Antimicrob. Agents Chemother.
52: 3369-3376
[Abstract]
[Full Text]
-
Feng, J.-Y., Su, W.-J., Tsai, C.-C., Chang, S.-C.
(2008). Clinical Impact of Mycobacterium tuberculosis W-Beijing Genotype Strain Infection on Aged Patients in Taiwan. J. Clin. Microbiol.
46: 3127-3129
[Abstract]
[Full Text]
-
Thwaites, G., Caws, M., Chau, T. T. H., D'Sa, A., Lan, N. T. N., Huyen, M. N. T., Gagneux, S., Anh, P. T. H., Tho, D. Q., Torok, E., Nhu, N. T. Q., Duyen, N. T. H., Duy, P. M., Richenberg, J., Simmons, C., Hien, T. T., Farrar, J.
(2008). Relationship between Mycobacterium tuberculosis Genotype and the Clinical Phenotype of Pulmonary and Meningeal Tuberculosis. J. Clin. Microbiol.
46: 1363-1368
[Abstract]
[Full Text]
-
Hebert, A. M., Talarico, S., Yang, D., Durmaz, R., Marrs, C. F., Zhang, L., Foxman, B., Yang, Z.
(2007). DNA Polymorphisms in the pepA and PPE18 Genes among Clinical Strains of Mycobacterium tuberculosis: Implications for Vaccine Efficacy. Infect. Immun.
75: 5798-5805
[Abstract]
[Full Text]