Evidence map›Paper›PMID 21281516›Full record

ArticleBMC research notes2011

Novel human genetic variants associated with extrapulmonary tuberculosis: a pilot genome wide association study.

Noffisat O Oki, Alison A Motsinger-Reif, Paulo Rz Antas, Shawn Levy, Steven M Holland, Timothy R Sterling

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 39 citations in OpenAlex.

  1. Host- and pathogen-related determinants of pulmonaryEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  2. Review
  3. Relationship between patient sex and anatomical sites of extrapulmonary tuberculosis in Mali.Journal of clinical tuberculosis and other mycobacterial diseases · 2023
    Article
  4. Review
  5. Article
  6. Sex and Gender Differences in Tuberculosis Pathogenesis and Treatment Outcomes.Current topics in microbiology and immunology · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetic Resistance toFrontiers in immunology · 2018
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Translational research in infectious disease: current paradigms and challenges ahead.Translational research : the journal of laboratory and clinical medicine · 2012
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Noffisat O OkiBioinformatics Research Center, Department of Statistics, North Carolina State University, Raleigh, NC, USA. alison.motsinger@gmail.com.
Alison A Motsinger-Reif
Paulo Rz Antas
Shawn Levy
Steven M Holland
Timothy R Sterling
Vanderbilt University · USNorth Carolina State University · USNational Institutes of Health · US

Funding

Genes And Gene Products As ImmunoadjuvantsZIAAI000647 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI HOLLAND, STEVEN · 2009 to 2025
$22.6M
Mentoring in HIV and Tuberculosis ResearchK24AI065298 · NIAID · VANDERBILT UNIVERSITY · PI STERLING, TIMOTHY R · 2005 to 2014
$1.6M
NIAID NIH HHS K24 AI065298
6 · The paper itself

Abstract

backgroundApproximately 5-10% of persons infected with M. tuberculosis develop tuberculosis, but the factors associated with disease progression are incompletely understood. Both linkage and association studies have identified human genetic variants associated with susceptibility to pulmonary tuberculosis, but few genetic studies have evaluated extrapulmonary disease. Because extrapulmonary and pulmonary tuberculosis likely have different underlying pathophysiology, identification of genetic mutations associated with extrapulmonary disease is important.

findingsWe performed a pilot genome-wide association study among 24 persons with previous extrapulmonary tuberculosis and well-characterized immune defects; 24 pulmonary tuberculosis patients and 57 patients with M. tuberculosis infection served as controls. The Affymetrix GeneChip Human Mapping Xba Array was used for genotyping; after careful quality control, genotypes at 44,175 single nucleotide polymorphisms (SNPs) were available for analysis. Eigenstrat quantified population stratification within our sample; logistic regression, using results of the Eigenstrat analysis as a covariate, identified significant associations between groups. Permutation testing controlled the family-wise error rate for each comparison between groups. Four SNPs were significantly associated with extrapulmonary tuberculosis compared to controls with M. tuberculosis infection; one (rs4893980) in the gene PDE11A, one (rs10488286) in KCND2, and one (rs2026414) in PCDH15; one was in chromosome 7 but not associated with a known gene. Two additional variants were significantly associated with extrapulmonary tuberculosis compared with pulmonary tuberculosis; one (rs340708) in the gene FAM135B and one in chromosome 13 but not associated with a known gene. The function of all four genes affects cell signaling and activity, including in the brain.

conclusionsIn this pilot study, we identified 6 novel variants not previously known to be associated with extrapulmonary tuberculosis, including two SNPs more common in persons with extrapulmonary than pulmonary tuberculosis. This provides some support for the hypothesis that the pathogenesis and genetic predisposition to extrapulmonary tuberculosis differs from pulmonary tuberculosis. Further study of these novel SNPs, and more well-powered genome-wide studies of extrapulmonary tuberculosis, is warranted.

Identifiers

PMID21281516
PMCPMC3041678
OpenAlexW2130965577

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.