Expression Quantitative Trait Locus Analysis in Systemic Sclerosis Identifies New Candidate Genes Associated With Multiple Aspects of Disease Pathology.

To identify the genetic variants that affect gene expression (expression quantitative trait loci [eQTLs]) in systemic sclerosis (SSc) and to investigate their role in the pathogenesis of the disease.We performed an eQTL analysis using whole-blood sequencing data from 333 SSc patients and 524 control...

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Elmentve itt :
Bibliográfiai részletek
Szerzők: Kerick Martin
González-Serna David
Carnero-Montoro Elena
Teruel Maria
Acosta- Herrera Marialbert
Makowska Zuzanna
Buttgereit Anne
Babaei Sepideh
Barturen Guillermo
López- Isac Elena
Kollaborációs szervezet: PRECISESADS Clinical Consortium
Kovács László
Balog Attila
Deák Magdolna
Bocskai Márta
Dulic Sonja
Kádár Gabriella
Lesche Ralf
Beretta Lorenzo
Alarcon- Riquelme Marta E.
Martin Javier
Dokumentumtípus: Cikk
Megjelent: 2021
Sorozat:ARTHRITIS & RHEUMATOLOGY 73 No. 7
doi:10.1002/art.41657

mtmt:32050518
Online Access:http://publicatio.bibl.u-szeged.hu/21898
Leíró adatok
Tartalmi kivonat:To identify the genetic variants that affect gene expression (expression quantitative trait loci [eQTLs]) in systemic sclerosis (SSc) and to investigate their role in the pathogenesis of the disease.We performed an eQTL analysis using whole-blood sequencing data from 333 SSc patients and 524 controls and integrated them with SSc genome-wide association study (GWAS) data. We integrated our findings from expression modeling, differential expression analysis, and transcription factor binding site enrichment with key clinical features of SSc.We detected 49,123 validated cis-eQTLs from 4,539 SSc-associated single-nucleotide polymorphisms (SNPs) (PGWAS < 10-5 ). A total of 1,436 genes were within 1 Mb of the 4,539 SSc-associated SNPs. Of those 1,436 genes, 565 were detected as having ≥1 eQTL with an SSc-associated SNP. We developed a strategy to prioritize disease-associated genes based on their expression variance explained by SSc eQTLs (r2 > 0.05). As a result, 233 candidates were identified, 134 (58%) of them associated with hallmarks of SSc and 105 (45%) of them differentially expressed in the blood cells, skin, or lung tissue of SSc patients. Transcription factor binding site analysis revealed enriched motifs of 24 transcription factors (5%) among SSc eQTLs, 5 of which were found to be differentially regulated in the blood cells (ELF1 and MGA), skin (KLF4 and ID4), and lungs (TBX4) of SSc patients. Ten candidate genes (4%) can be targeted by approved medications for immune-mediated diseases, of which only 3 have been tested in clinical trials in patients with SSc.The findings of the present study indicate a new layer to the molecular complexity of SSc, contributing to a better understanding of the pathogenesis of the disease.
Terjedelem/Fizikai jellemzők:1288-1300
ISSN:2326-5191