Evidence map›Paper›PMID 41080568›Full record

ArticleFrontiers in immunology2025

Genome-wide association study of chlamydia reinfection in African American women.

Hemant K Tiwari, Amit Patki, Vinodh Srinivasasainagendra, Sandeep C Vejandla, Archish Sadeesh, Kanupriya Gupta, Mary Appah, William M Geisler

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Hemant K TiwariDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.
Amit PatkiDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.
Vinodh SrinivasasainagendraDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.
Sandeep C VejandlaDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.
Archish SadeeshMcMaster University, Hamilton, ON, Canada.
Kanupriya GuptaDivision of Infectious Diseases, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.
Mary AppahDepartment of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States.
William M GeislerDivision of Infectious Diseases, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Method: We performed GWAS in 300 AA women with versus without chlamydia reinfection based on Results: GWAS identified 17 suggestive genomic regions of interest. Five genomic regions out of 17 were identified as strongly associated with reinfection, using linkage disequilibrium and fine mapping. The positional mapping, eQTL, and chromatin interactions (CIs) analyses further identified 12 gene targets. Among the 12 gene targets, Conclusions: This GWAS study in AA women identified multiple novel genes associated with chlamydia reinfection, including

Indexed as

Black or African AmericanChlamydia InfectionsChlamydia trachomatisReinfectionAdultFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLinkage DisequilibriumPolymorphism, Single NucleotideQuantitative Trait LociYoung Adultbacteriacell-specific expressionChlamydia trachomatischromatin interactionseQTLGWASreinfection

Identifiers

PMID41080568
PMCPMC12508776

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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.