Evidence map›Paper›PMID 21104256›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2011

Tuberculosis as a complex trait: impact of genetic epidemiological study design.

Catherine M Stein, Allison R Baker

Abstract readReview
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Review
  2. Genetics and evolution of tuberculosis pathogenesis: New perspectives and approaches.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  3. Article
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  5. Article
  6. Article
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  11. Article
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  13. Review
  14. Article
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

2 authors.

Catherine M SteinDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Wolstein Research Building, Room 1316, 2103 Cornell Rd., Cleveland, OH, 44106, USA, catherine.stein@case.edu.
Allison R Baker

Funding

Pathway analysis of tuberculosis pathogenesisR01HL096811 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI STEIN, CATHERINE MARIE · 2009 to 2013
$2.2M
NHLBI NIH HHS R01 HL096811NIAID NIH HHS N01 AI070022
6 · The paper itself

Abstract

Several studies have suggested a role for human genetic risk factors in the susceptibility to developing tuberculosis (TB). However, results of these studies have been inconsistent, and one potential reason for these inconsistencies is variation in aspects of study design. Specifically, phenotype definitions and population genetic factors have varied dramatically. Since TB is a complex trait, there are many challenges in designing studies to assess appropriately human genetic risk factors for the development of TB as opposed to the acquisition of latent M. tuberculosis infection. In this review we summarize these important study design differences, with illustrations from the TB genetics literature. We cite specific examples of studies of the NRAMP1 (SLC11A1) gene and present Fisher's combined p values for different stratifications of these studies to further illustrate the impact of study design differences. Finally, we provide suggestions for the design of future genetic epidemiological studies of TB.

Indexed as

Genetic Predisposition to DiseaseCation Transport ProteinsHumansMycobacterium tuberculosisNatural Resistance-associated Macrophage Protein 1TuberculosisCation Transport ProteinsNatural Resistance-associated Macrophage Protein 1

Identifiers

PMID21104256
PMCPMC3043369

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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.