Evidence map›Paper›PMID 42406132›Full record

ArticleImmunogenetics2026

Genotype-phenotype correlations in autoimmune and autoinflammatory diseases: An NGS-based immunogenetic cohort study.

Esra Çolak Geniş, Fethi Sırrı Çam

Abstract read
PubMed Publisher
In one paragraph

Article in Immunogenetics, 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

2 authors.

Esra Çolak GenişDepartment of Medical Genetics, Manisa Celal Bayar University Faculty of Medicine, Manisa, Turkey.ORCID http://orcid.org/0000-0003-4222-0530
Fethi Sırrı ÇamDepartment of Medical Genetics, Manisa Celal Bayar University Faculty of Medicine, Manisa, Turkey. sirri.cam@cbu.edu.tr.ORCID http://orcid.org/0000-0002-0972-8896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveAutoimmune and autoinflammatory diseases (AIDs) represent a heterogeneous group of immune-mediated disorders characterized by dysregulated innate and adaptive immune responses. This study aimed to investigate the immunogenetic background of AIDS by assessing the distribution of genetic variants identified by a targeted next-generation sequencing (NGS) panel and elucidating genotype-phenotype correlations in the context of systemic immune dysregulation.Materials and methodsA targeted NGS panel encompassing 19 genes involved in immune regulation, inflammatory signaling pathways, and immune tolerance was utilized to evaluate a cohort of 110 patients presenting with clinical manifestations suggestive of autoinflammatory disease. Clinical severity was quantitatively assessed using longitudinal serum C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) measurements across acute and baseline periods. Detected variants were classified according to the American College of Medical Genetics and Genomics (ACMG) guidelines and correlated with patient clinical phenotypes and established immunogenetic literature.ResultsA total of 55 genetic variants were identified across 41 patients. Alterations predominantly clustered in MEFV (38.2%), HFE (29.1%), and SLC29A3 (21.8%), followed by NOD2, MVK, CARD14, IL10RB, and PLCG2 (1.8% each). According to ACMG criteria, 61.8% of the variants were pathogenic, 25.5% were likely pathogenic, and 12.7% were VUS. Genotype-phenotype correlation analyses successfully linked rare variants (including PLCG2, IL10RB, and CARD14) and oligogenic combinations to specific laboratory profiles. These findings revealed unexpected penetrance, variable expressivity, and distinct biomarker disassociations, most notably highlighted by isolated ESR elevations reaching 91 mm/h.ConclusionOur findings underscore the immunogenetic heterogeneity of autoinflammatory diseases and substantiate the diagnostic value of NGS-based profiling in deciphering complex genotype-phenotype associations. The integration of specific quantitative biomarkers and downstream mechanisms highlights how non-HLA regulatory variants reshape the chronic inflammatory immune microenvironment, lowering the threshold for inflammasome activation and systemic autoimmunity.

Indexed as

Autoimmune DiseasesGenetic Association StudiesHereditary Autoinflammatory DiseasesAdolescentAdultChildCohort StudiesFemaleGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansImmunogeneticsMaleMiddle AgedMutationPhenotypeAutoimmune diseasesCohort studyGenetic variantsImmunogeneticsNGS

Identifiers

What OpenQuestion holds

Textmetadata
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.