Evidence map›Paper›PMID 41096810›Full record

ReviewInternational journal of molecular sciences2025

Genetic Susceptibility to Tuberculosis and the Utility of Polygenic Scores in Population Stratification.

Mariia A Dashian, German A Shipulin, Andrei A Deviatkin

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

3 authors.

Mariia A DashianFederal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical and Biological Agency, 119121 Moscow, Russia.ORCID 0009-0003-2225-3957
German A ShipulinFederal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical and Biological Agency, 119121 Moscow, Russia.ORCID 0000-0002-3668-6601
Andrei A DeviatkinFederal State Budgetary Institution 'Centre for Strategic Planning and Management of Biomedical Health Risks' of the Federal Medical and Biological Agency, 119121 Moscow, Russia.ORCID 0000-0003-0789-4601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is one of the leading infectious causes of mortality worldwide. Although a significant proportion of the population (up to 36%, depending on the region) is infected with the latent form of TB, only about one in ten of these people will develop an active form of the disease in their lifetime. This is due to a complex interaction between the host's genetic predisposition and environment. However, the genetic determinants of TB are not well established and have been insufficiently explored in previous genome-wide association studies (GWAS) with sparse and incongruent results. We reviewed recent evidence on host genetic susceptibility to TB, highlighting population-specific characteristics, host-pathogen coevolution, and the limitations of conventional GWAS approaches in terms of clinical and genetic heterogeneity. While rare variants with high penetrance, such as

Indexed as

Genetic Predisposition to DiseaseMultifactorial InheritanceTuberculosisGenome-Wide Association StudyHost-Pathogen InteractionsHumansPolymorphism, Single Nucleotideinfectionpolygenic scorePRSsusceptibilitytuberculosis

Identifiers

PMID41096810
PMCPMC12524525

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.