Examination of eQTL Polymorphisms Associated with Increased Risk of Progressive Complicated Sarcoidosis in European and African Descent Subjects.

Pubmed ID: 38390497

Pubmed Central ID: PMC10883688

Journal: European journal of respiratory medicine

Publication Date: Dec. 1, 2023

Affiliation: ['National Institute of Allergy and Infectious Diseases. National Institutes of Health, USA.']

Grants: UL1 TR001863, R01 HL113326, U01 HL112696

Authors: Moller DR, Bime C, Garcia JGN, Garman L, Montgomery CG, Camp SM, Casanova NG, Kaminski N, Gonzalez-Garay ML, Batai K, Ellis N, Kittles R, Hsu AP, Holland S, Lussier YA, Karnes J, Sweiss N, Maier LA, Koth L

Cite As: Casanova NG, Camp SM, Gonzalez-Garay ML, Batai K, Garman L, Montgomery CG, Ellis N, Kittles R, Bime C, Hsu AP, Holland S, Lussier YA, Karnes J, Sweiss N, Maier LA, Koth L, Moller DR, Kaminski N, Garcia JGN. Examination of eQTL Polymorphisms Associated with Increased Risk of Progressive Complicated Sarcoidosis in European and African Descent Subjects. Eur J Respir Med 2023 Dec;5(1):359-371.

Studies:

Abstract

BACKGROUND: A limited pool of SNPs are linked to the development and severity of sarcoidosis, a systemic granulomatous inflammatory disease. By integrating genome-wide association studies (GWAS) data and expression quantitative trait loci (eQTL) single nuclear polymorphisms (SNPs), we aimed to identify novel sarcoidosis SNPs potentially influencing the development of complicated sarcoidosis. METHODS: A GWAS (Affymetrix 6.0) involving 209 African-American (AA) and 193 European-American (EA, 75 and 51 complicated cases respectively) and publicly-available GWAS controls (GAIN) was utilized. Annotation of multi-tissue eQTL SNPs present on the GWAS created a pool of ~46,000 eQTL SNPs examined for association with sarcoidosis risk and severity (Logistic Model, Plink). The most significant EA/AA eQTL SNPs were genotyped in a sarcoidosis validation cohort (n=1034) and cross-validated in two independent GWAS cohorts. RESULTS: No single GWAS SNP achieved significance (p<1x10-8), however, analysis of the eQTL/GWAS SNP pool yielded 621 eQTL SNPs (p<10-4) associated with 730 genes that highlighted innate immunity, MHC Class II, and allograft rejection pathways with multiple SNPs validated in an independent sarcoidosis cohort (105 SNPs analyzed) (NOTCH4, IL27RA, BTNL2, ANXA11, HLA-DRB1). These studies confirm significant association of eQTL/GWAS SNPs in EAs and AAs with sarcoidosis risk and severity (complicated sarcoidosis) involving HLA region and innate immunity. CONCLUSION: Despite the challenge of deciphering the genetic basis for sarcoidosis risk/severity, these results suggest that integrated eQTL/GWAS approaches may identify novel variants/genes and support the contribution of dysregulated innate immune responses to sarcoidosis severity.