Evidence map›Paper›PMID 42499187›Full record

ArticleHGG advances2026

Identification of genetic variants associated with idiopathic inflammatory myopathies via cross-trait analysis with B cell lymphomas.

Weng Ian Che, James N Jarvis, Anton Öberg Sysojev, Catherine Zhu, Karina Patasova, International Lymphoma Epidemiology Consortium (InterLymph), IMACS Genetics Group (MYOGEN), Karin E Smedby, Ingrid E Lundberg, Helga Westerlind and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in HGG advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Weng Ian CheDepartment of Public Health and Medicinal Administration, Faculty of Health Sciences, University of Macau, Macau, Macau SAR, China.
James N JarvisDepartment of Pediatrics and Center for Indigenous Health, University of Washington School of Medicine, Seattle, WA, USA.
Anton Öberg SysojevClinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
Catherine ZhuInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Karina PatasovaCenter for Molecular Medicine, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK; Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
International Lymphoma Epidemiology Consortium (InterLymph)
IMACS Genetics Group (MYOGEN)
Karin E SmedbyClinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; Hematology Center, Karolinska University Hospital, Stockholm, Sweden.
Ingrid E LundbergDivision of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; ME Gastro, Derm and Rheuma, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden.
Helga WesterlindClinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.
Janine A LambEpidemiology and Public Health Group, School of Health Sciences, The University of Manchester, Manchester, UK.
Marie HolmqvistClinical Epidemiology Division, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden; ME Gastro, Derm and Rheuma, Theme Inflammation and Aging, Karolinska University Hospital, Stockholm, Sweden. Electronic address: marie.holmqvist@ki.se.

Funding

Epigenetic Mechanisms That Drive Genetic Risk in Juvenile ArthritisR01AR078785 · NIAMS · UNIVERSITY OF WASHINGTON · PI JAMES N JARVIS · 2022 to 2026
$3.1M
NIAMS NIH HHS R01 AR078785
6 · The paper itself

Abstract

The genetic architecture of idiopathic inflammatory myopathies (IIMs) remains incompletely defined. When increasing sample size is not feasible, cross-trait analysis of genetically correlated diseases offers an effective strategy for discovering risk loci. Using summary statistics of IIM and B cell lymphoma subtypes, we applied conditional false discovery rate (condFDR) and multi-trait analysis of genome-wide association studies (GWASs) (MTAG) to detect genetic associations with IIM risk. Single-nucleotide polymorphisms (SNPs) outside the human leukocyte antigen (HLA) region meeting significance thresholds (condFDR < 0.01 or p <5 × 10

Indexed as

B cell lymphomasconditional false discovery ratedermatomyositisgeneticsgenome-wide association studyidiopathic inflammatory myopathypolymyositissingle-nucleotide polymorphism

Identifiers

PMID42499187
PMCPMC13495596

What Socratic 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 Socratic graph.