A predictive signature gene set for discriminating active from latent tuberculosis in Warao Amerindian children

Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagn...

Full description

Saved in:
Bibliographic Details
Published inBMC genomics Vol. 14; no. 1; p. 74
Main Authors Verhagen, Lilly M, Zomer, Aldert, Maes, Mailis, Villalba, Julian A, del Nogal, Berenice, Eleveld, Marc, van Hijum, Sacha AFT, de Waard, Jacobus H, Hermans, Peter WM
Format Journal Article
LanguageEnglish
Published England BioMed Central Ltd 01.02.2013
BioMed Central
Subjects
Adolescent
Adult
Analysis
Bacterial pneumonia
Biomarkers
Blood
Calcium
Calcium metabolism
Calcium signalling
Calcium, Dietary
Care and treatment
Case-Control Studies
Child
Child, Preschool
Children
Children & youth
Classification
Cluster analysis
Data processing
Female
Gene expression
Gene Expression Profiling
Genes
Genetic aspects
Genetic research
Genomics
Health aspects
Hospitals
Humans
Indians, North American - genetics
Infant
Infection
Infections
Life sciences
Male
Medical research
Medicine, Experimental
Mycobacterium
Native American children
Pediatrics
Pneumonia
Polymerase chain reaction
Population genetics
Reproducibility of Results
Statistics
Studies
Transcription
Tuberculosis
Tuberculosis - ethnology
Tuberculosis - genetics
Venezuela
United States
South Africa
Online AccessGet full text
ISSN1471-2164
1471-2164
DOI10.1186/1471-2164-14-74

Cover

Abstract Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far. We identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity). Our data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.
AbstractList Doc number: 74 Abstract Background: Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far. Results: We identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity). Conclusions: Our data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.
Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far.BACKGROUNDTuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far.We identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity).RESULTSWe identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity).Our data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.CONCLUSIONSOur data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.
Background Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far. Results We identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity). Conclusions Our data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts. Keywords: Biomarker, Children, Mycobacterium tuberculosis, Transcriptomics
BACKGROUND: Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far. RESULTS: We identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity). CONCLUSIONS: Our data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.
Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far. We identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity). Our data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.
Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the paucibacillary nature of the disease and the difficulties in obtaining specimens. Whereas scientific and clinical research efforts to develop novel diagnostic tools have focused on TB in adults, childhood TB has been relatively neglected. Blood transcriptional profiling has improved our understanding of disease pathogenesis of adult TB and may offer future leads for diagnosis and treatment. No studies applying gene expression profiling of children with TB have been published so far. We identified a 116-gene signature set that showed an average prediction error of 11% for TB vs. latent TB infection (LTBI) and for TB vs. LTBI vs. healthy controls (HC) in our dataset. A minimal gene set of only 9 genes showed the same prediction error of 11% for TB vs. LTBI in our dataset. Furthermore, this minimal set showed a significant discriminatory value for TB vs. LTBI for all previously published adult studies using whole blood gene expression, with average prediction errors between 17% and 23%. In order to identify a robust representative gene set that would perform well in populations of different genetic backgrounds, we selected ten genes that were highly discriminative between TB, LTBI and HC in all literature datasets as well as in our dataset. Functional annotation of these genes highlights a possible role for genes involved in calcium signaling and calcium metabolism as biomarkers for active TB. These ten genes were validated by quantitative real-time polymerase chain reaction in an additional cohort of 54 Warao Amerindian children with LTBI, HC and non-TB pneumonia. Decision tree analysis indicated that five of the ten genes were sufficient to classify 78% of the TB cases correctly with no LTBI subjects wrongly classified as TB (100% specificity). Our data justify the further exploration of our signature set as biomarkers for potential childhood TB diagnosis. We show that, as the identification of different biomarkers in ethnically distinct cohorts is apparent, it is important to cross-validate newly identified markers in all available cohorts.
ArticleNumber 74
Audience Academic
Author Maes, Mailis
Zomer, Aldert
del Nogal, Berenice
Villalba, Julian A
Hermans, Peter WM
Verhagen, Lilly M
van Hijum, Sacha AFT
de Waard, Jacobus H
Eleveld, Marc
AuthorAffiliation 3 Centre for Molecular and Biomolecular Informatics, Nijmegen Centre for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
7 NIZO food research, Kluyver Centre for Genomics of Industrial Fermentation, Ede, The Netherlands
6 Facultad de Medicina, Universidad Central de Venezuela, Caracas, Venezuela
2 Laboratorio de Tuberculosis, Instituto de Biomedicina, Caracas, Venezuela
4 Lovelace Respiratory Research Institute, Albuquerque, USA
5 Departamento de Pediatría, Hospital de Niños J.M. de los Ríos, Caracas, Venezuela
1 Laboratory of Pediatric Infectious Diseases, Radboud University Medical Centre, PO Box 9101 (internal post 224), Nijmegen, 6500 HB, The Netherlands
AuthorAffiliation_xml – name: 1 Laboratory of Pediatric Infectious Diseases, Radboud University Medical Centre, PO Box 9101 (internal post 224), Nijmegen, 6500 HB, The Netherlands
– name: 3 Centre for Molecular and Biomolecular Informatics, Nijmegen Centre for Molecular Life Sciences, Radboud University Medical Centre, Nijmegen, The Netherlands
– name: 5 Departamento de Pediatría, Hospital de Niños J.M. de los Ríos, Caracas, Venezuela
– name: 6 Facultad de Medicina, Universidad Central de Venezuela, Caracas, Venezuela
– name: 2 Laboratorio de Tuberculosis, Instituto de Biomedicina, Caracas, Venezuela
– name: 7 NIZO food research, Kluyver Centre for Genomics of Industrial Fermentation, Ede, The Netherlands
– name: 4 Lovelace Respiratory Research Institute, Albuquerque, USA
Author_xml – sequence: 1
  givenname: Lilly M
  surname: Verhagen
  fullname: Verhagen, Lilly M
– sequence: 2
  givenname: Aldert
  surname: Zomer
  fullname: Zomer, Aldert
– sequence: 3
  givenname: Mailis
  surname: Maes
  fullname: Maes, Mailis
– sequence: 4
  givenname: Julian A
  surname: Villalba
  fullname: Villalba, Julian A
– sequence: 5
  givenname: Berenice
  surname: del Nogal
  fullname: del Nogal, Berenice
– sequence: 6
  givenname: Marc
  surname: Eleveld
  fullname: Eleveld, Marc
– sequence: 7
  givenname: Sacha AFT
  surname: van Hijum
  fullname: van Hijum, Sacha AFT
– sequence: 8
  givenname: Jacobus H
  surname: de Waard
  fullname: de Waard, Jacobus H
– sequence: 9
  givenname: Peter WM
  surname: Hermans
  fullname: Hermans, Peter WM
BackLink https://www.ncbi.nlm.nih.gov/pubmed/23375113$$D View this record in MEDLINE/PubMed
BookMark eNqNkstv1DAQxiNURB9w5oYscYFDWjt2HntBWqoClSoh8RBHy7EnqavEXmyngv--E7YsTdVKxIfYnt98Gn8zh9me8w6y7CWjx4w11QkTNcsLVomcibwWT7KD3c3enf1-dhjjFaWsboryWbZfcF6XjPGDzK_JJoCxOtlrINH2TqUpAOnB4RES6XwgxkYd7GgxZl1P1Bbugh_JoBK4RNLUQtDT4KONxDryQwXlyXqEYJ2xyhF9aQcTwD3PnnZqiPDi9n-Uff9w9u30U37x-eP56foib6uGpnzV6rYVQEv86m6lVsoUtWCm7EytOGWVoU3VNhqEYkK3qqMth4oWRhRMrSrgR9m7re5makcwGosMapAbfIYKv6VXVi4jzl7K3l9LXlH0SaDA-61Aa_0jAsuI9qOcDZez4biT9Szy5raK4H9OEJMc0UoYBuXAT1EyXvCG1qKk_4Fi80RTrjiir--hV34KDu38QzHRNLz5R_VqAGld57FMPYvKdclFKSqEkDp-gMJlYLQah62zeL9IeLtIQCbBr9SrKUZ5_vXLkn11twk78_6OHwInW0AHH2OAbocwKucBf8DR8l6GtgnH0s9NsMOjeTc6hP2c
CitedBy_id crossref_primary_10_3389_fimmu_2024_1401647
crossref_primary_10_1183_09059180_00005314
crossref_primary_10_3389_fmicb_2023_1187390
crossref_primary_10_1016_j_pepo_2013_09_008
crossref_primary_10_1186_s12879_020_05116_1
crossref_primary_10_1093_cid_ciad268
crossref_primary_10_1038_s41598_020_78793_2
crossref_primary_10_1016_j_coi_2013_08_003
crossref_primary_10_1371_journal_pcbi_1010260
crossref_primary_10_1111_imr_13116
crossref_primary_10_1371_journal_pcbi_1010770
crossref_primary_10_1016_j_xcrm_2022_100842
crossref_primary_10_1186_s12879_024_09457_z
crossref_primary_10_1016_j_jinf_2017_09_012
crossref_primary_10_3390_ijms24119701
crossref_primary_10_1016_j_jinf_2014_08_006
crossref_primary_10_3390_ijms21196979
crossref_primary_10_1016_j_pbiomolbio_2023_02_002
crossref_primary_10_1007_s00112_014_3250_2
crossref_primary_10_3389_fcimb_2017_00314
crossref_primary_10_1186_s13040_020_00217_8
crossref_primary_10_3389_fimmu_2019_00221
crossref_primary_10_2217_bmm_13_53
crossref_primary_10_1016_S2213_2600_16_00048_5
crossref_primary_10_1016_S0163_4453_17_30195_0
crossref_primary_10_1172_jci_insight_137131
crossref_primary_10_1186_s12887_021_02576_5
crossref_primary_10_3389_fgene_2018_00457
crossref_primary_10_1007_s00608_014_0144_4
crossref_primary_10_3389_fgene_2018_00575
crossref_primary_10_1111_resp_13346
crossref_primary_10_1038_s41598_017_05057_x
crossref_primary_10_1155_2014_895179
crossref_primary_10_1186_s12859_015_0848_x
crossref_primary_10_4049_jimmunol_1901133
crossref_primary_10_1371_journal_pntd_0004045
crossref_primary_10_1016_j_jinf_2022_08_017
crossref_primary_10_1016_j_ebiom_2022_104110
crossref_primary_10_1016_j_ijmyco_2015_12_001
crossref_primary_10_1038_s41586_018_0439_x
crossref_primary_10_1186_s12916_016_0583_9
crossref_primary_10_3389_fimmu_2021_694680
crossref_primary_10_1586_14787210_2015_1040764
crossref_primary_10_1038_srep18520
crossref_primary_10_1093_cid_ciad270
crossref_primary_10_3389_fimmu_2020_612564
crossref_primary_10_3389_fmed_2021_709793
crossref_primary_10_3389_fimmu_2019_00527
crossref_primary_10_1590_0037_8682_0516_2018
crossref_primary_10_1056_NEJMoa1303657
crossref_primary_10_1038_s41598_024_66946_6
crossref_primary_10_1371_journal_pone_0204029
crossref_primary_10_1371_journal_pmed_1002786
Cites_doi 10.1371/journal.pgen.1002886
10.1186/1471-2164-13-170
10.1126/science.1125676
10.1038/nprot.2008.211
10.1038/nm.2237
10.1007/s00109-007-0157-6
10.1128/mBio.00016-11
10.1073/pnas.0700974104
10.1016/S0140-6736(05)17702-2
10.1016/S0163-7258(03)00004-4
10.1074/jbc.M806145200
10.1091/mbc.E07-04-0296
10.1016/S1473-3099(08)70182-8
10.1371/journal.pone.0024290
10.1128/IAI.01549-07
10.1186/1471-2105-8-328
10.1093/bioinformatics/17.6.509
10.4049/jimmunol.180.2.870
10.1073/pnas.0903341106
10.1128/JVI.00260-10
10.1146/annurev.cellbio.20.010403.114015
10.1016/j.cell.2011.11.050
10.1126/science.1173869
10.1016/S0022-3476(97)70120-3
10.1016/j.lab.2003.08.002
10.1371/journal.pone.0026938
10.1046/j.1440-1843.2003.00471.x
10.1038/nature06742
10.1038/nature09247
10.1073/pnas.1121072109
10.1038/gene.2010.51
10.1016/j.cellimm.2011.12.007
10.1007/s00247-004-1238-0
10.1093/emboj/17.4.877
10.1007/s11427-009-0061-0
10.1006/bbrc.2001.4467
10.1155/2006/407609
10.1183/09059180.00006910
10.1073/pnas.1530509100
10.1177/0968051907079101
10.1183/09031936.94.07061103
ContentType Journal Article
Copyright COPYRIGHT 2013 BioMed Central Ltd.
2013 Verhagen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright ©2013 Verhagen et al; licensee BioMed Central Ltd. 2013 Verhagen et al; licensee BioMed Central Ltd.
Copyright_xml – notice: COPYRIGHT 2013 BioMed Central Ltd.
– notice: 2013 Verhagen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
– notice: Copyright ©2013 Verhagen et al; licensee BioMed Central Ltd. 2013 Verhagen et al; licensee BioMed Central Ltd.
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
ISR
3V.
7QP
7QR
7SS
7TK
7U7
7X7
7XB
88E
8AO
8FD
8FE
8FH
8FI
8FJ
8FK
ABUWG
AEUYN
AFKRA
AZQEC
BBNVY
BENPR
BHPHI
C1K
CCPQU
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
HCIFZ
K9.
LK8
M0S
M1P
M7P
P64
PHGZM
PHGZT
PIMPY
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
RC3
7X8
7QL
5PM
DOI 10.1186/1471-2164-14-74
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: Science
ProQuest Central (Corporate)
Calcium & Calcified Tissue Abstracts
Chemoreception Abstracts
Entomology Abstracts (Full archive)
Neurosciences Abstracts
Toxicology Abstracts
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Medical Database (Alumni Edition)
ProQuest Pharma Collection
Technology Research Database
ProQuest SciTech Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest One Sustainability
ProQuest Central UK/Ireland
ProQuest Central Essentials
Biological Science Collection
ProQuest Central
Natural Science Collection
Environmental Sciences and Pollution Management
ProQuest One
ProQuest Central Korea
Engineering Research Database
Proquest Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
ProQuest Biological Science Collection
Health & Medical Collection (Alumni)
Medical Database
Biological Science Database (ProQuest)
Biotechnology and BioEngineering Abstracts
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
Genetics Abstracts
MEDLINE - Academic
Bacteriology Abstracts (Microbiology B)
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest Central Student
Technology Research Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
SciTech Premium Collection
ProQuest One Community College
ProQuest One Health & Nursing
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest Central
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
ProQuest Health & Medical Research Collection
Genetics Abstracts
Health Research Premium Collection
Health and Medicine Complete (Alumni Edition)
Natural Science Collection
ProQuest Central Korea
Health & Medical Research Collection
Biological Science Collection
Chemoreception Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
ProQuest Biological Science Collection
Toxicology Abstracts
ProQuest One Academic Eastern Edition
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
Biological Science Database
ProQuest SciTech Collection
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
Entomology Abstracts
ProQuest Health & Medical Complete
ProQuest Medical Library
ProQuest One Academic UKI Edition
Engineering Research Database
ProQuest One Academic
Calcium & Calcified Tissue Abstracts
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
Bacteriology Abstracts (Microbiology B)
DatabaseTitleList Publicly Available Content Database
MEDLINE - Academic



Genetics Abstracts
MEDLINE
Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Biology
Statistics
EISSN 1471-2164
EndPage 74
ExternalDocumentID PMC3600014
oai_biomedcentral_com_1471_2164_14_74
2918396421
A534546383
23375113
10_1186_1471_2164_14_74
Genre Research Support, Non-U.S. Gov't
Journal Article
GeographicLocations Venezuela
United States
South Africa
GeographicLocations_xml – name: South Africa
– name: United States
– name: Venezuela
GroupedDBID ---
0R~
23N
2WC
2XV
4.4
53G
5VS
6J9
7X7
88E
8AO
8FE
8FH
8FI
8FJ
AAFWJ
AAHBH
AAJSJ
AASML
AAYXX
ABDBF
ABUWG
ACGFO
ACGFS
ACIHN
ACIWK
ACPRK
ACUHS
ADBBV
ADRAZ
ADUKV
AEAQA
AENEX
AEUYN
AFKRA
AFPKN
AFRAH
AHBYD
AHMBA
AHSBF
AHYZX
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMKLP
AMTXH
AOIJS
BAPOH
BAWUL
BBNVY
BCNDV
BENPR
BFQNJ
BHPHI
BMC
BPHCQ
BVXVI
C6C
CCPQU
CITATION
CS3
DIK
DU5
E3Z
EAD
EAP
EAS
EBD
EBLON
EBS
EJD
EMB
EMK
EMOBN
ESX
F5P
FYUFA
GROUPED_DOAJ
GX1
H13
HCIFZ
HMCUK
HYE
IAO
IGS
IHR
INH
INR
ISR
ITC
KQ8
LK8
M1P
M48
M7P
M~E
O5R
O5S
OK1
OVT
P2P
PGMZT
PHGZM
PHGZT
PIMPY
PQQKQ
PROAC
PSQYO
RBZ
RNS
ROL
RPM
RSV
SBL
SOJ
SV3
TR2
TUS
U2A
UKHRP
W2D
WOQ
WOW
XSB
CGR
CUY
CVF
ECM
EIF
NPM
PMFND
3V.
7QP
7QR
7SS
7TK
7U7
7XB
8FD
8FK
AZQEC
C1K
DWQXO
FR3
GNUQQ
K9.
P64
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQUKI
PRINS
RC3
7X8
7QL
-A0
ABVAZ
ACRMQ
ADINQ
AFGXO
AFNRJ
AIXEN
C24
5PM
ID FETCH-LOGICAL-b680t-9bcbb4e055557f9a9ad2741d5fd7a3016d086b8ce4a14cbaf0b3e602d421a96e3
IEDL.DBID RBZ
ISSN 1471-2164
IngestDate Thu Aug 21 18:23:27 EDT 2025
Wed May 22 07:14:35 EDT 2024
Fri Jul 11 08:48:05 EDT 2025
Fri Jul 11 01:13:28 EDT 2025
Fri Jul 25 10:39:23 EDT 2025
Tue Jun 17 22:05:13 EDT 2025
Tue Jun 10 21:00:46 EDT 2025
Fri Jun 27 05:57:44 EDT 2025
Thu Apr 03 07:02:20 EDT 2025
Thu Apr 24 23:10:14 EDT 2025
Tue Jul 01 02:22:02 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 1
Language English
License This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-b680t-9bcbb4e055557f9a9ad2741d5fd7a3016d086b8ce4a14cbaf0b3e602d421a96e3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
OpenAccessLink http://dx.doi.org/10.1186/1471-2164-14-74
PMID 23375113
PQID 1317148838
PQPubID 44682
PageCount 1
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_3600014
biomedcentral_primary_oai_biomedcentral_com_1471_2164_14_74
proquest_miscellaneous_1323807450
proquest_miscellaneous_1317848593
proquest_journals_1317148838
gale_infotracmisc_A534546383
gale_infotracacademiconefile_A534546383
gale_incontextgauss_ISR_A534546383
pubmed_primary_23375113
crossref_primary_10_1186_1471_2164_14_74
crossref_citationtrail_10_1186_1471_2164_14_74
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2013-02-01
PublicationDateYYYYMMDD 2013-02-01
PublicationDate_xml – month: 02
  year: 2013
  text: 2013-02-01
  day: 01
PublicationDecade 2010
PublicationPlace England
PublicationPlace_xml – name: England
– name: London
PublicationTitle BMC genomics
PublicationTitleAlternate BMC Genomics
PublicationYear 2013
Publisher BioMed Central Ltd
BioMed Central
Publisher_xml – name: BioMed Central Ltd
– name: BioMed Central
References W Da Huang (4808_CR10) 2009; 4
M DeGiorgio (4808_CR43) 2009; 106
I Vergne (4808_CR22) 2004; 20
C Lu (4808_CR32) 2011; 6
C Wang (4808_CR45) 2012; 8
J Maertzdorf (4808_CR7) 2012; 109
O Deniz (4808_CR34) 2005; 9
JL Cadranel (4808_CR37) 1994; 7
C Lau (4808_CR14) 2008; 180
JR Bayjanov (4808_CR9) 2012; 13
WC Zhang (4808_CR26) 2012; 148
ME Lindquist (4808_CR25) 2010; 84
M Jakobsson (4808_CR44) 2008; 451
R Watanabe (4808_CR19) 1998; 17
HA Payne (4808_CR36) 2011; 20
HJ Zar (4808_CR3) 2005; 365
H Wang (4808_CR15) 2009; 52
R Diaz-Uriarte (4808_CR11) 2007; 8
TY Chan (4808_CR33) 1992; 23
P Baldi (4808_CR47) 2001; 17
H Yamada (4808_CR13) 2007; 18
World Health Organization (WHO) (4808_CR1) 2006
World Health Organization (WHO) Pneumonia Vaccine Trial Investigators Group (4808_CR50) 2001
MP Berry (4808_CR4) 2010; 466
World Health Organization (WHO) (4808_CR42) 2012
FR Coulson (4808_CR12) 2003; 98
J Maertzdorf (4808_CR5) 2011; 6
D Parker (4808_CR30) 2011; 2
J Maertzdorf (4808_CR6) 2011; 12
C Carlberg (4808_CR39) 2012
JD Storey (4808_CR48) 2003; 100
JM Chang (4808_CR38) 2004; 143
S Smith (4808_CR41) 1997; 131
DA Deshpande (4808_CR24) 2010; 16
AS Shah (4808_CR23) 2009; 325
B Efron (4808_CR49) 1997; 92
SM Newton (4808_CR2) 2008; 8
A Garcia-Sastre (4808_CR29) 2006; 312
Y Wang (4808_CR16) 2012; 274
JK Forwood (4808_CR27) 2007; 104
EA Dosumu (4808_CR35) 2006; 13
H Mukae (4808_CR18) 2003; 8
J Austermann (4808_CR21) 2008; 283
W van der Meer (4808_CR28) 2007; 13
A Welin (4808_CR20) 2008; 76
BJ Marais (4808_CR46) 2004; 34
DA Lewinsohn (4808_CR40) 2004; 8
C Fernández De Larrea (4808_CR8) 2002; 43
M Jacobsen (4808_CR31) 2007; 85
V Florian (4808_CR17) 2001; 281
References_xml – volume: 8
  start-page: e1002886
  year: 2012
  ident: 4808_CR45
  publication-title: PLoS Genet
  doi: 10.1371/journal.pgen.1002886
– volume: 13
  start-page: 170
  year: 2012
  ident: 4808_CR9
  publication-title: BMC Genomics
  doi: 10.1186/1471-2164-13-170
– volume: 43
  start-page: 35
  year: 2002
  ident: 4808_CR8
  publication-title: Invest Clin
– volume: 312
  start-page: 879
  year: 2006
  ident: 4808_CR29
  publication-title: Science
  doi: 10.1126/science.1125676
– volume-title: Standardization of interpretation of chest radiographs for the diagnosis of pneumonia in children
  year: 2001
  ident: 4808_CR50
– volume: 4
  start-page: 44
  year: 2009
  ident: 4808_CR10
  publication-title: Nat Protoc
  doi: 10.1038/nprot.2008.211
– volume: 16
  start-page: 1299
  year: 2010
  ident: 4808_CR24
  publication-title: Nat Med
  doi: 10.1038/nm.2237
– volume: 85
  start-page: 613
  year: 2007
  ident: 4808_CR31
  publication-title: J Mol Med (Berl)
  doi: 10.1007/s00109-007-0157-6
– volume: 8
  start-page: 658
  year: 2004
  ident: 4808_CR40
  publication-title: Int J Tuberc Lung Dis
– volume: 2
  start-page: e00016
  year: 2011
  ident: 4808_CR30
  publication-title: MBio
  doi: 10.1128/mBio.00016-11
– volume: 23
  start-page: 702
  year: 1992
  ident: 4808_CR33
  publication-title: Southeast Asian J Trop Med Public Health
– volume: 104
  start-page: 10382
  year: 2007
  ident: 4808_CR27
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.0700974104
– volume: 365
  start-page: 130
  year: 2005
  ident: 4808_CR3
  publication-title: Lancet
  doi: 10.1016/S0140-6736(05)17702-2
– volume-title: Global Tuberculosis Report 2012
  year: 2012
  ident: 4808_CR42
– volume: 98
  start-page: 59
  year: 2003
  ident: 4808_CR12
  publication-title: Pharmacol Ther
  doi: 10.1016/S0163-7258(03)00004-4
– volume: 283
  start-page: 29331
  year: 2008
  ident: 4808_CR21
  publication-title: J Biol Chem
  doi: 10.1074/jbc.M806145200
– volume: 18
  start-page: 4669
  year: 2007
  ident: 4808_CR13
  publication-title: Mol Biol Cell
  doi: 10.1091/mbc.E07-04-0296
– volume: 8
  start-page: 498
  year: 2008
  ident: 4808_CR2
  publication-title: Lancet Infect Dis
  doi: 10.1016/S1473-3099(08)70182-8
– volume: 6
  start-page: e24290
  year: 2011
  ident: 4808_CR32
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0024290
– volume: 76
  start-page: 2882
  year: 2008
  ident: 4808_CR20
  publication-title: Infect Immun
  doi: 10.1128/IAI.01549-07
– volume: 92
  start-page: 548
  year: 1997
  ident: 4808_CR49
  publication-title: J American Statistical Association
– volume: 8
  start-page: 328
  year: 2007
  ident: 4808_CR11
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-8-328
– volume: 17
  start-page: 509
  year: 2001
  ident: 4808_CR47
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/17.6.509
– volume: 180
  start-page: 870
  year: 2008
  ident: 4808_CR14
  publication-title: J Immunol
  doi: 10.4049/jimmunol.180.2.870
– volume: 106
  start-page: 16057
  year: 2009
  ident: 4808_CR43
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.0903341106
– volume: 84
  start-page: 12274
  year: 2010
  ident: 4808_CR25
  publication-title: J Virol
  doi: 10.1128/JVI.00260-10
– volume: 20
  start-page: 367
  year: 2004
  ident: 4808_CR22
  publication-title: Annu Rev Cell Dev Biol
  doi: 10.1146/annurev.cellbio.20.010403.114015
– volume: 148
  start-page: 259
  year: 2012
  ident: 4808_CR26
  publication-title: Cell
  doi: 10.1016/j.cell.2011.11.050
– volume: 325
  start-page: 1131
  year: 2009
  ident: 4808_CR23
  publication-title: Science
  doi: 10.1126/science.1173869
– volume: 9
  start-page: 317
  year: 2005
  ident: 4808_CR34
  publication-title: Int J Tuberc Lung Dis
– volume: 131
  start-page: 16
  year: 1997
  ident: 4808_CR41
  publication-title: J Pediatr
  doi: 10.1016/S0022-3476(97)70120-3
– volume: 143
  start-page: 14
  year: 2004
  ident: 4808_CR38
  publication-title: J Lab Clin Med
  doi: 10.1016/j.lab.2003.08.002
– volume: 6
  start-page: e26938
  year: 2011
  ident: 4808_CR5
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0026938
– volume: 8
  start-page: 326
  year: 2003
  ident: 4808_CR18
  publication-title: Respirology
  doi: 10.1046/j.1440-1843.2003.00471.x
– volume: 451
  start-page: 998
  year: 2008
  ident: 4808_CR44
  publication-title: Nature
  doi: 10.1038/nature06742
– volume: 466
  start-page: 973
  year: 2010
  ident: 4808_CR4
  publication-title: Nature
  doi: 10.1038/nature09247
– volume: 109
  start-page: 7853
  year: 2012
  ident: 4808_CR7
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.1121072109
– volume: 12
  start-page: 15
  year: 2011
  ident: 4808_CR6
  publication-title: Genes Immun
  doi: 10.1038/gene.2010.51
– volume: 274
  start-page: 121
  year: 2012
  ident: 4808_CR16
  publication-title: Cell Immunol
  doi: 10.1016/j.cellimm.2011.12.007
– volume: 34
  start-page: 886
  year: 2004
  ident: 4808_CR46
  publication-title: Pediatr Radiol
  doi: 10.1007/s00247-004-1238-0
– volume-title: Guidance for national tuberculosis programmes on the management of tuberculosis in children
  year: 2006
  ident: 4808_CR1
– volume: 17
  start-page: 877
  year: 1998
  ident: 4808_CR19
  publication-title: EMBO J
  doi: 10.1093/emboj/17.4.877
– volume: 52
  start-page: 464
  year: 2009
  ident: 4808_CR15
  publication-title: Sci China C Life Sci
  doi: 10.1007/s11427-009-0061-0
– volume: 281
  start-page: 1045
  year: 2001
  ident: 4808_CR17
  publication-title: Biochem Biophys Res Commun
  doi: 10.1006/bbrc.2001.4467
– volume: 13
  start-page: 83
  year: 2006
  ident: 4808_CR35
  publication-title: Nigeria. Can Respir J
  doi: 10.1155/2006/407609
– volume-title: Steroids
  year: 2012
  ident: 4808_CR39
– volume: 20
  start-page: 53
  year: 2011
  ident: 4808_CR36
  publication-title: Eur Respir Rev
  doi: 10.1183/09059180.00006910
– volume: 100
  start-page: 9440
  year: 2003
  ident: 4808_CR48
  publication-title: Proc Natl Acad Sci USA
  doi: 10.1073/pnas.1530509100
– volume: 13
  start-page: 94
  year: 2007
  ident: 4808_CR28
  publication-title: J Endotoxin Res
  doi: 10.1177/0968051907079101
– volume: 7
  start-page: 1103
  year: 1994
  ident: 4808_CR37
  publication-title: Eur Respir J
  doi: 10.1183/09031936.94.07061103
SSID ssj0017825
Score 2.292786
Snippet Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the...
Background Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the...
Doc number: 74 Abstract Background: Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood...
Background: Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the...
BACKGROUND: Tuberculosis (TB) continues to cause a high toll of disease and death among children worldwide. The diagnosis of childhood TB is challenged by the...
SourceID pubmedcentral
biomedcentral
proquest
gale
pubmed
crossref
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage 74
SubjectTerms Adolescent
Adult
Analysis
Bacterial pneumonia
Biomarkers
Blood
Calcium
Calcium metabolism
Calcium signalling
Calcium, Dietary
Care and treatment
Case-Control Studies
Child
Child, Preschool
Children
Children & youth
Classification
Cluster analysis
Data processing
Female
Gene expression
Gene Expression Profiling
Genes
Genetic aspects
Genetic research
Genomics
Health aspects
Hospitals
Humans
Indians, North American - genetics
Infant
Infection
Infections
Life sciences
Male
Medical research
Medicine, Experimental
Mycobacterium
Native American children
Pediatrics
Pneumonia
Polymerase chain reaction
Population genetics
Reproducibility of Results
Statistics
Studies
Transcription
Tuberculosis
Tuberculosis - ethnology
Tuberculosis - genetics
SummonAdditionalLinks – databaseName: Health & Medical Collection
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1Lb9QwELagCIkL4k2gIIOQ4GIaP5I44oBWiKogwQGo2JtlO15YaZUsm-TQf9-ZPJa6iN6y8lhJdsbjmXjm-wh5ZUvhlQgVk3aVMlX6wLQMntlM8Up6zcNQVfnla35yqj4vs-X0wa2dyipnnzg46qrx-I38iEuk6tZa6vfbPwxZo_B0daLQuE5uIHQZlnQVy33CxWH3yyY4H67zIw6OmAnIDxhXrLjc4r6JdqbL_vnCBhUXT17YjY7vkNtTGEkXo97vkmuhvkdujsSSZ_dJs6DbHR7BoDOjWKMx4HdSsBb4GToKoSrFhtyR1AtLn6kdhbHfhG4gAq072vUu7Hy_adp1S9c1_Wl3tqHDIU-NdkXnVvAH5PT4448PJ2yiVmAu12nHSuedUwHRvrJiVdrSVohjU2WrqrCw5vMKUh2nfVCWK-9Aj06GPBWVEtyWeZAPyUHd1OExoV55hZxXmXMQ3UiI2AtprVBOpLqsBE_Iu-hvNtsRRsMgsHU8Avo2qCSDSoIrU6iEvJ2VYvyEWo7kGRszZC86_3fCm_2E-U7_FX2JWjYIg1Fjnc0v27et-fT9m1lkUiFRgJYJeT0JrRq4sbdT2wK8PCJnRZKHkSSsUx8Pz8ZkJj_Rmr9WnZAX-2GcibVvdWj6UUYrxKW7SkYgc4DK0oQ8Gu1z__ZCygLCaphdRJYbKSIeqde_B6RxmQ859JOrH_0puSUGkhAs8jkkB92uD88gVOvc82E9ngOXWj8s
  priority: 102
  providerName: ProQuest
– databaseName: Scholars Portal Journals: Open Access
  dbid: M48
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3di9QwEA96Ivgifls9JYqgLznbJG1TRGQRj1M4H9TFewtJmj0XSnv2A7z_3pm2u3c5T_FtSyZbmpnJTMjM70fIC1NwJ7kvmTCrmMnCeaaEd8ykMimFU4kfqyoPP2cHS_npKD06owOaF7C79GiHfFLLttr79fP0HTj829HhVfY6gQ2Wccj7WSJZLq-SaxCWcvTSQ3l2pQChMB1bjWbhGefnkj-40PteBSHr4sZ9LnKFVZXnwtT-LXJzzi_pYjKI2-SKr--Q6xPj5Old0izoSYt3M7jLUSzeGIE9KZgRPPqeQg5LsVN3YvvCmmhqJmFsRKEVpKZ1T_vB-tYNVdOtO7qu6XfTmoaOtz81Ghzd9IjfI8v9D9_eH7CZc4HZTMU9K6yzVnqEAUvzVWEKUyLATZmuytzAZpCVcAayynlpEuksKNgKn8W8lDwxRebFfbJTN7V_SKiTTiIZVmotpD0CUvlcGMOl5bEqSp5E5E2wzPpkwtfQiHgdjoDzaVSSRiXBL53LiOxtlKLdDGeOrBqVHo81KvtzwqvthM2b_ir6HLWsER-jxgKcYzN0nf749YtepEIig4ASEXk5C60aeLEzcz8DfDxCagWSu4EkOLALhzfGpDf2rxOBzPRKCRWRZ9thnIlFcbVvhklGSQSs-5cMR0oBmcYReTDZ5_bruRA55NswOw8sN1BEOFKvf4wQ5CIbD9eP_n9NH5MbfGQSwUqgXbLTt4N_Avlcb5-Ofvob5EdGPg
  priority: 102
  providerName: Scholars Portal
Title A predictive signature gene set for discriminating active from latent tuberculosis in Warao Amerindian children
URI https://www.ncbi.nlm.nih.gov/pubmed/23375113
https://www.proquest.com/docview/1317148838
https://www.proquest.com/docview/1317848593
https://www.proquest.com/docview/1323807450
http://dx.doi.org/10.1186/1471-2164-14-74
https://pubmed.ncbi.nlm.nih.gov/PMC3600014
Volume 14
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZoKyQuiHdDy8ogJLgEEttJHHHaolYFqRUqVKy4WLbjhZVWSbVJDv33zDjZpV4eFy5RIo8TJTP2jOOZ7yPkpS6ZFcxVMdfzJBaldbHkzsY6E2nFrUydz6o8O89PL8XHWTb7BRa9tYOfyvxtCtNnzCCqj1MRF2KH7DEBbhAX5kffNhsG4OgyX0g0Co8oPn-4wVZl-zJwSNvT8g2_FOZM3nBCJ_fI3TF6pNNB3ffJLVc_ILcHPsnrh6SZ0qsV7rzgHEYxNcPDdlIwErh0HYUIlWId7sDlhRnPVA_CWGZClxB41h3teuNWtl827aKli5p-1SvdUL-3U6M50XUF-CNyeXL85f1pPDIqxCaXSReXxhojHIJ8ZcW81KWuEL6myuZVoWGo5xWscIy0TuhUWAPqM9zlCasES3WZO_6Y7NZN7fYJtcIKpLrKjIGghkOgXnCtmTAskWXF0oi8Cz6zuhrQMxTiWYctMLQUKkmhkuBMFSIib9ZKUXYEK0fOjKXyixaZ_97h9abD-kl_FX2BWlaIflFjes133bet-vD5Qk0zLpAfQPKIvBqF5g082OqxWgFeHgGzAsnDQBKGpw2b18akxumhVSlH3nkpuYzI800z9sSUt9o1_SAjBcLR_UuGIWGAyJKIPBnsc_P2jPMComnoXQSWGygibKkXPzzAOM_90vnpf6nwgNxhnjoEU38OyW636t0zCOA6MyE7xayYkL2j4_NPFxP_GwSOZ0JO_KD-CWMSRgU
linkProvider BioMedCentral
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELdGJwQviG8KAwwCwYtZYzuJI4RQgU0t-xAam7Y3YzsuVKqS0qRC-6f4G7nLR1mG2NveWvncxLnL-a6--_0IeWES7iT3KRNmMmAycZ4p4R0zoQxS4VTgq6rKvf1odCQ_n4Qna-R32wuDZZWtT6wcdZo7_I98MxBI1a2UUO_nPxmyRuHpakuhUZvFjj_9BSlb8W78CfT7kvPtrcOPI9awCjAbqUHJEuuslR6BrsJ4kpjEpAjhkoaTNDZg7lEKUb5VzksTSGdhCVb4aMBTyQOTRF7A714h61JAKtMj6x-29r8crM4tYL8NGwChQEWbAbh-xiEjYYFk8fmm-llnLzy_I5zZErvlmmf2v-2b5EYTuNJhbWm3yJrPbpOrNZXl6R2SD-l8gYc-6D4pVoVUiKEU7BO--pJCcEyxBbimEcNia2pqYexwoTOIebOSlkvrF245y4tpQacZPTYLk9PqWClDS6Zt8_ldcnQpj_0e6WV55h8Q6qSTyLIVWgvxlIAcIRbGcGn5QCUpD_rkbecx63kN3KERSrs7AhamUUkalQSfdCz75E2rFO0anHSk65jpKl9S0b8TXq8mtFf6r-hz1LJG4I0MK3u-m2VR6PHXAz0MhURqAiX65FUjNMnhws40jRKweMTq6khudCTBM7jucGtMuvFMhf77HvXJs9UwzsRqu8zny1pGSUTCu0iGI1eBDAd9cr-2z9XquRAxBPIwO-5YbkcR3ZFs-qPCNoe3CrP2hxff-lNybXS4t6t3x_s7j8h1XlGUYInRBumVi6V_DIFiaZ80bycl3y7bIfwBEGJ-Lw
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZKEYgL4k2ggEFIcEmb-JE44rQ8lpZHhQpVKy6W7TiwIk1Wm-TAv8fjJKtNeVy4JfI4kT3j8Vie-T6EnqqMGEZsHlJVRCHLjA0FtSZUnMU5NSK2Pqvy42Gyf8zenfLTLfR2rIXRZwbASc8WptndLEAvvdd2D-bH3jIv-sUukr3YOdeQuJg_jFmYsgvoYsp5Civ06OXX9XWC2wa5LzMahAeMnz984FzdeznZrs477Y1da5pRubFFza-hq0NsiWe9MVxHW7a6gS71bJM_b6J6hpcruJcBD4chccODemI3E-7VttjFrxiqdHumL8iHxqoXhiIUXLqwtGpx22m7Ml1ZN4sGLyp8olaqxv7mpwJjw2N9-C10PH_z5dV-OPAthDoRURtm2mjNLECA8bTIVKZyALfJeZGnyjmCJHfnHy2MZSpmRjvlamqTiOSMxCpLLL2Ntqu6sncRNswwIMLiWruQh7owPqVKEaZJJLKcxAF6MZlmueyxNSSgXU9bnN4lKEmCktyTTFmAdkelSDNAmQOjRin9kUYkv3d4vu4w_umvok9AyxKwMSpIvvmmuqaRB5-P5IxTBuwBggbo2SBU1GCTaqhlcIMHOK2J5M5E0i1eM20ejUkOzqORMQVWeiGoCNDjdTP0hIS4ytZdLyMYgNX9S4YAnQDjUYDu9Pa5Hj2hNHWxtuudTix3oohpS7X47uHHaeIP1vf-S4WP0OVPr-fyw8Hh-_voCvEcI5AjtIO221VnH7hIr9UP_Sr-BZHiUEc
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+predictive+signature+gene+set+for+discriminating+active+from+latent+tuberculosis+in+Warao+Amerindian+children&rft.jtitle=BMC+genomics&rft.au=Verhagen%2C+Lilly+M&rft.au=Zomer%2C+Aldert&rft.au=Maes%2C+Mailis&rft.au=Villalba%2C+Julian+A&rft.date=2013-02-01&rft.issn=1471-2164&rft.eissn=1471-2164&rft.volume=14&rft.issue=1&rft_id=info:doi/10.1186%2F1471-2164-14-74&rft.externalDBID=n%2Fa&rft.externalDocID=10_1186_1471_2164_14_74
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2164&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2164&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2164&client=summon