Evidence map›Paper›PMID 39994562›Full record

ArticleBMC infectious diseases2025

A comparison of genome-wide association analyses of persistent symptoms after Lyme disease, fibromyalgia, and myalgic encephalomyelitis - chronic fatigue syndrome.

Annemarie G Hirsch, Anne E Justice, Amy Poissant, Cara M Nordberg, Navya S Josyula, John Aucott, Alison W Rebman, Brian S Schwartz

Abstract readComparative Study
In one paragraph

Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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.

Annemarie G HirschDepartment of Population Health Sciences, Geisinger Health System, 100 N. Academy Avenue, Danville, PA, 17822-4400, United States of America. aghirsch@geisinger.edu.
Anne E JusticeDepartment of Population Health Sciences, Geisinger Health System, 100 N. Academy Avenue, Danville, PA, 17822-4400, United States of America.
Amy PoissantDepartment of Population Health Sciences, Geisinger Health System, 100 N. Academy Avenue, Danville, PA, 17822-4400, United States of America.
Cara M NordbergDepartment of Population Health Sciences, Geisinger Health System, 100 N. Academy Avenue, Danville, PA, 17822-4400, United States of America.
Navya S JosyulaDepartment of Population Health Sciences, Geisinger Health System, 100 N. Academy Avenue, Danville, PA, 17822-4400, United States of America.
John AucottDivision of Rheumatology, Department of Medicine, Lyme Disease Research Center, Johns Hopkins University School of Medicine, Baltimore, United States of America.
Alison W RebmanDivision of Rheumatology, Department of Medicine, Lyme Disease Research Center, Johns Hopkins University School of Medicine, Baltimore, United States of America.
Brian S SchwartzDepartment of Population Health Sciences, Geisinger Health System, 100 N. Academy Avenue, Danville, PA, 17822-4400, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUp to 20% of Lyme disease cases experience post-treatment Lyme disease syndrome (PTLDS). The biological basis for PTLDS is poorly understood and no evidence-based treatment has been identified. Genetic studies have the potential to elucidate PTLDS pathophysiology and identify treatment targets.

methodsWe used electronic health record data (EHR) and genetic data from a linked biorepository to conduct a genome-wide association study (GWAS) for PTLDS among patients from a Pennsylvania health system. We evaluated the validity of the GWAS results in two separate conditions that have hypothesized overlapping pathophysiology, fibromyalgia and myalgic encephalomyelitis - chronic fatigue syndrome (ME/CFS). GWAS analyses were performed using logistic regression in SUGEN, assuming an additive genetic model, and adjusting for age, sex, array, and the first 10 principal components calculated from whole genome genotyping to adjust for ancestry, and accounting for relatedness including all 1st degree relationships. The functional mapping and annotation analysis (FUMA) tool was used to explore top findings from our GWAS.

resultsAmong the 161,875 eligible MyCode participants with genotyping, there were 3,585 who met the criteria for treated Lyme disease. A subset of 695 (19.4%) of these patients met the criteria for PTLDS and the remaining 2890 were classified as controls. We identified two PTLDS loci that reached the suggestive significance threshold (P < 5 × 10

conclusionWe identified two PTLDS loci that reached a suggestive significance threshold. Our top index SNP is associated with the MARC2 protein, a protein that has been linked to multiple immune checkpoints. Further study is needed in a larger population to evaluate whether there is genetic evidence of the role of immune response in the occurrence of PTLDS.

Indexed as

Fatigue Syndrome, ChronicFibromyalgiaGenome-Wide Association StudyLyme DiseaseAdultAgedFemaleHumansMaleMiddle AgedPennsylvaniaPolymorphism, Single NucleotideFibromyalgiaGenome-wide association studyLyme diseaseMyalgic encephalomyelitis

Identifiers

PMID39994562
PMCPMC11853495

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LicenceCC BY-NC-ND
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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.