Literature DB >> 33031749

Analysis of Trans-Ancestral SLE Risk Loci Identifies Unique Biologic Networks and Drug Targets in African and European Ancestries.

Katherine A Owen1, Andrew Price2, Hannah Ainsworth3, Bryce N Aidukaitis2, Prathyusha Bachali2, Michelle D Catalina2, James M Dittman2, Timothy D Howard3, Kathryn M Kingsmore2, Adam C Labonte2, Miranda C Marion3, Robert D Robl2, Kip D Zimmerman3, Carl D Langefeld3, Amrie C Grammer2, Peter E Lipsky2.   

Abstract

Systemic lupus erythematosus (SLE) is a multi-organ autoimmune disorder with a prominent genetic component. Individuals of African ancestry (AA) experience the disease more severely and with an increased co-morbidity burden compared to European ancestry (EA) populations. We hypothesize that the disparities in disease prevalence, activity, and response to standard medications between AA and EA populations is partially conferred by genomic influences on biological pathways. To address this, we applied a comprehensive approach to identify all genes predicted from SNP-associated risk loci detected with the Immunochip. By combining genes predicted via eQTL analysis, as well as those predicted from base-pair changes in intergenic enhancer sites, coding-region variants, and SNP-gene proximity, we were able to identify 1,731 potential ancestry-specific and trans-ancestry genetic drivers of SLE. Gene associations were linked to upstream and downstream regulators using connectivity mapping, and predicted biological pathways were mined for candidate drug targets. Examination of trans-ancestral pathways reflect the well-defined role for interferons in SLE and revealed pathways associated with tissue repair and remodeling. EA-dominant genetic drivers were more often associated with innate immune and myeloid cell function pathways, whereas AA-dominant pathways mirror clinical findings in AA subjects, suggesting disease progression is driven by aberrant B cell activity accompanied by ER stress and metabolic dysfunction. Finally, potential ancestry-specific and non-specific drug candidates were identified. The integration of all SLE SNP-predicted genes into functional pathways revealed critical molecular pathways representative of each population, underscoring the influence of ancestry on disease mechanism and also providing key insight for therapeutic selection.
Copyright © 2020 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GWAS; Immunochip; SLE; ancesty; drug repurposing; genetics; lupus; pathway analysis

Mesh:

Substances:

Year:  2020        PMID: 33031749      PMCID: PMC7675009          DOI: 10.1016/j.ajhg.2020.09.007

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  62 in total

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Journal:  Nat Genet       Date:  2013-09-08       Impact factor: 38.330

10.  HACER: an atlas of human active enhancers to interpret regulatory variants.

Authors:  Jing Wang; Xizhen Dai; Lynne D Berry; Joy D Cogan; Qi Liu; Yu Shyr
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3.  Single-cell expression quantitative trait loci (eQTL) analysis of SLE-risk loci in lupus patient monocytes.

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4.  Genetically Predicted Circulating Omega-3 Fatty Acids Levels Are Causally Associated With Increased Risk for Systemic Lupus Erythematosus.

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5.  Utility of Baseline Transcriptomic Analysis of Rheumatoid Arthritis Synovium as an Indicator for Long-Term Clinical Outcomes.

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6.  Biological insights into systemic lupus erythematosus through an immune cell-specific transcriptome-wide association study.

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