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Record W4410331716 · doi:10.1002/art.43227

Genetics of Childhood‐Onset Systemic Lupus Erythematosus

2025· article· en· W4410331716 on OpenAlexafffund
Raffaella Carlomagno, Nicholas D. Gold, Fangming Liao, Jingjing Cao, Paul D. Arnold, Christie L. Burton, Jennifer Crosbie, Daniela Domínguez, Dafna D. Gladman, Mariko Ishimori, Caroline A. Jefferies, Diane L. Kamen, Sylvia Kamphuis, Marisa S. Klein‐Gitelman, Andrea Knight, Chia-Chi Lee Lee, Deborah M. Levy, Karen Onel, Christine Peschken, Janet Pope, Russell Schachar, Earl D. Silverman, Lisa Strug, Zahi Touma, Murray B. Urowitz, Daniel J. Wallace, Cheng Wang, Declan Webber, Joan Wither, Linda T. Hiraki

Bibliographic record

VenueArthritis & Rheumatology · 2025
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsWestern UniversityManitoba HealthSt Joseph's Health CentreUniversity of ManitobaToronto Western HospitalMental Health Research CanadaUniversity of CalgaryCentre for Addiction and Mental HealthUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersDepartment of Medicine, University of TorontoCanadian Institutes of Health ResearchCentre Hospitalier Universitaire VaudoisArthritis SocietyCanada Research ChairsLupus CanadaLupus Research Alliance
KeywordsGenome-wide association studyMedicineSNPSingle-nucleotide polymorphismAge of onsetAlleleHuman leukocyte antigenGenetic associationLocus (genetics)Internal medicineGeneticsDiseaseGenotypeImmunologyBiologyGeneAntigen

Abstract

fetched live from OpenAlex

Objective Genome‐wide association studies (GWAS) have identified >100 loci for systemic lupus erythematosus (SLE). These loci may also affect age at diagnosis. We aimed to identify genetic variants for age at SLE diagnosis and to complete a GWAS of childhood‐onset SLE (cSLE) in children diagnosed <18 years of age. Methods Patients met American College of Rheumatology and/or Systemic Lupus Erythematosus International Collaborative Clinics classification criteria, had documented age at diagnosis, and were genotyped on multiethnic arrays. Ungenotyped single nucleotide polymorphisms (SNPs) and HLA alleles were imputed to multiethnic referents. Ancestry was genetically inferred. We tested known SLE loci (142 non‐HLA, 166 HLA) with log‐transformed age of SLE diagnosis, adjusted for sex and five principal components (significance threshold P < 1.6 × 10 −4 ). We also completed a GWAS of 346 patients with cSLE and 4,080 children and adolescents without SLE of European and East Asian ancestry (genome‐wide significance P < 5 × 10 −8 ). Results We included 1,489 patients with SLE, 51% of patients had cSLE, 88% of patients were female, 39% of patients were of European ancestry, 19% of patients were of East Asian ancestry, and 17% of patients were of Admixed ancestry. The median age at diagnosis was 17.7 years (interquartile range 14.0–30.9). One SLE‐risk SNP, intronic to coiled‐coil domain containing 113 ( CCDC113 ) (chromosome 16), was associated with younger age at SLE diagnosis (β = −0.12, SE = 0.03, P = 6.3 × 10 −6 ) and with cSLE versus adult‐onset SLE (aSLE). GWAS of cSLE compared to controls without SLE identified significant chromosome 6 SNP rs9268469, intronic to TSBP1‐AS1 (odds ratio 2.04 [95% confidence interval 1.59–2.63], P = 1.79 × 10 −8 ) and HLA‐DQA1 . Conclusion We identified a significant locus for younger age at SLE diagnosis, intronic to CCDC113 , among a large multiancestral cohort of children and adults with SLE. In the first GWAS of cSLE, we identified a TSBP1‐AS1 locus and an HLA‐DQA1 previously identified for aSLE.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.274
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes2
Has abstractyes

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