Somatic TET2 Mutations are Associated with Giant Cell Arteritis
Robinette, M. L.; Weeks, L. D.; Kramer, R. J.; Agrawal, M.; Gibson, C. J.; Yu, Z.; Sekar, A.; Mehta, A.; Niroula, A.; Brown, J. T.; McDermott, G. C.; Reshef, E. R.; Lu, J. E.; Liou, V. D.; Chiou, C. A.; Natarajan, P.; Freitag, S. K.; Rao, D. A.; Ebert, B. A.
Show abstract
ObjectiveGiant cell arteritis (GCA) is an age-related vasculitis. Prior studies have identified an association between GCA and hematologic malignancies (HM). How the presence of somatic mutations which drive development of HM, or clonal hematopoiesis (CH), may influence clinical outcomes in GCA is not well understood. MethodsTo examine an association between CH and GCA, we analyzed sequenced exomes of 470960 UK Biobank participants for the presence of CH and used multivariable Cox regression. To examine the clinical phenotype of GCA in patients with and without somatic mutations across the spectrum of CH to HM, we performed targeted sequencing of blood samples and electronic health record review on 114 patients with GCA seen at our institution. We then examined associations between specific clonal mutations and GCA disease manifestations. ResultsUKB participants with CH had a 1.48-fold increased risk of incident GCA compared to UKB participants without CH. GCA risk was highest among individuals with cytopenia (HR 2.98, p =0.00178) and with TET2 mutation (HR 2.02, p =0.00116). Mutations were detected in 27.2% of our institutional GCA cohort, 3 of whom had HM at GCA diagnosis. TET2 mutations were associated with vision loss in patients with GCA (OR 4.33, p = 0.047). ConclusionsCH increases risk for development of GCA in a genotype-specific fashion, with greatest risk being conferred by the presence of mutations in TET2. Somatic TET2 mutations likewise increase the risk of GCA-associated vision loss. Integration of somatic genetic testing in GCA diagnostics may be warranted in the future.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Estimating overdiagnosis in giant cell arteritis diagnostic pathways using genetic data: genetic association study 94%
- COVID-19 Infection, Admission and Death Amongst People with Rare Autoimmune Rheumatic Disease in England. Results from the RECORDER Project 89%
- Characteristics, outcomes, and mortality amongst 133,589 patients with prevalent autoimmune diseases diagnosed with, and 48,418 hospitalised for COVID-19: a multinational distributed network cohort analysis 88%
Similar papers in this journal
- Genetic and Epigenetic Dysregulation of CR1 is Associated with Catastrophic Antiphospholipid Syndrome (CAPS) 92%
- IL-1 and IL-6 inhibitor hypersensitivity link to common HLA-DRB1*15 alleles 92%
- BNT162b2 vaccine-induced humoral and cellular responses against SARS-CoV-2 variants in Systemic Lupus Erythematosus 91%
Similar papers in this journal
- Integrating circulating T follicular memory cells and autoantibody repertoires for characterization of autoimmune disorders 93%
- Systemic and mucosal antibody secretion specific to SARS-CoV-2 during mild versus severe COVID-19 88%
- Type 2 Inflammation Drives an Airway Basal Stem Cell Program Through Insulin Receptor Substrate Signaling 88%
Similar papers in this journal
- Coordinated immune dysregulation in Juvenile Dermatomyositis revealed by single-cell genomics 92%
- Multicenter analysis of neutrophil extracellular trap dysregulation in adult and pediatric COVID-19 92%
- C1q limits cystoid edema by maintaining basal beta-catenin-dependent signaling and blood-retina barrier function 90%
Similar papers in this journal
- Spinocerebellar ataxia type 4 is caused by a GGC expansion in the ZFHX3 gene and is associated with prominent dysautonomia and motor neuron signs 89%
- The construction and validation of sub-phenotype-specific genetic risk scores in systemic lupus erythematosus: a novel approach using large-scale biobank data 89%
- Gut microbiota alterations in patients with persistent respiratory dysfunction three months after severe COVID-19 87%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.