Pleiotropy of systemic lupus erythematosus risk alleles and cardiometabolic disorders: A phenome-wide association study and inverse-variance weighted meta-analysis. (July 2021)

• Record Type: Journal Article
• Authors: Kawai, Vivian K; Shi, Mingjian; Liu, Ge; Feng, QiPing; Wei, WeiQi; Chung, Cecilia P; Walunas, Theresa L; Gordon, Adam S; Linneman, James G; Hebbring, Scott J; Harley, John B; Cox, Nancy J; Roden, Dan M; Stein, C Michael; Mosley, Jonathan D
• Is Part Of: Lupus. Volume 30:Number 8(2021)
• Page Start: 1264
• Page End: 1272
• Publication Date: 2021-07
• Subjects: Systemic lupus erythematosus -- genetic risk score -- pleiotropy; Systemic lupus erythematosus -- Periodicals; 616.772005
• DOI: 10.1177/09612033211014952
• Languages: English
• ISSNs: 0961-2033

Abstract

Objectives: To test the hypothesis that genetic predisposition to systemic lupus erythematosus (SLE) increases the risk of cardiometabolic disorders. Methods: Using 41 single nucleotide polymorphisms (SNPs) associated with SLE, we calculated a weighted genetic risk score (wGRS) for SLE. In a large biobank we tested the association between this wGRS and 9 cardiometabolic phenotypes previously associated with SLE: atrial fibrillation, ischemic stroke, coronary artery disease, type 1 and type 2 diabetes, obesity, chronic kidney disease, hypertension, and hypercholesterolemia. Additionally, we performed a phenome-wide association analysis (pheWAS) to discover novel clinical associations with a genetic predisposition to SLE. Findings were replicated in the Electronic Medical Records and Genomics (eMERGE) Network. To further define the association between SLE-related risk alleles and the selected cardiometabolic phenotypes, we performed an inverse variance weighted regression (IVWR) meta-analysis. Results: The wGRS for SLE was calculated in 74, 759 individuals of European ancestry. Among the pre-selected phenotypes, the wGRS was significantly associated with type 1 diabetes (OR [95%CI] =1.11 [1.06, 1.17], P-value = 1.05x10 −5 ). In the PheWAS, the wGRS was associated with several autoimmune phenotypes, kidney disorders, and skin neoplasm; but only the associations with autoimmune phenotypes were replicated. In the IVWR meta-analysis, SLE-related risk alleles were nominally associated with type 1 diabetes (P = 0.048) but the associations were heterogeneous and did not meet the adjusted significance threshold. Conclusion: A weighted GRS for SLE was associated with an increased risk of several autoimmune-related phenotypes including type I diabetes but not with cardiometabolic disorders.