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Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus

Gene expression signatures can stratify patients with heterogeneous diseases, such as systemic lupus erythematosus (SLE), yet understanding the contributions of ancestral background to this heterogeneity is not well understood. We hypothesized that ancestry would significantly influence gene express...

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Autores principales: Catalina, Michelle D., Bachali, Prathyusha, Yeo, Anthony E., Geraci, Nicholas S., Petri, Michelle A., Grammer, Amrie C., Lipsky, Peter E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Clinical Investigation 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455079/
https://www.ncbi.nlm.nih.gov/pubmed/32759501
http://dx.doi.org/10.1172/jci.insight.140380
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author Catalina, Michelle D.
Bachali, Prathyusha
Yeo, Anthony E.
Geraci, Nicholas S.
Petri, Michelle A.
Grammer, Amrie C.
Lipsky, Peter E.
author_facet Catalina, Michelle D.
Bachali, Prathyusha
Yeo, Anthony E.
Geraci, Nicholas S.
Petri, Michelle A.
Grammer, Amrie C.
Lipsky, Peter E.
author_sort Catalina, Michelle D.
collection PubMed
description Gene expression signatures can stratify patients with heterogeneous diseases, such as systemic lupus erythematosus (SLE), yet understanding the contributions of ancestral background to this heterogeneity is not well understood. We hypothesized that ancestry would significantly influence gene expression signatures and measured 34 gene modules in 1566 SLE patients of African ancestry (AA), European ancestry (EA), or Native American ancestry (NAA). Healthy subject ancestry-specific gene expression provided the transcriptomic background upon which the SLE patient signatures were built. Although standard therapy affected every gene signature and significantly increased myeloid cell signatures, logistic regression analysis determined that ancestral background significantly changed 23 of 34 gene signatures. Additionally, the strongest association to gene expression changes was found with autoantibodies, and this also had etiology in ancestry: the AA predisposition to have both RNP and dsDNA autoantibodies compared with EA predisposition to have only anti-dsDNA. A machine learning approach was used to determine a gene signature characteristic to distinguish AA SLE and was most influenced by genes characteristic of the perturbed B cell axis in AA SLE patients.
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spelling pubmed-74550792020-09-01 Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus Catalina, Michelle D. Bachali, Prathyusha Yeo, Anthony E. Geraci, Nicholas S. Petri, Michelle A. Grammer, Amrie C. Lipsky, Peter E. JCI Insight Research Article Gene expression signatures can stratify patients with heterogeneous diseases, such as systemic lupus erythematosus (SLE), yet understanding the contributions of ancestral background to this heterogeneity is not well understood. We hypothesized that ancestry would significantly influence gene expression signatures and measured 34 gene modules in 1566 SLE patients of African ancestry (AA), European ancestry (EA), or Native American ancestry (NAA). Healthy subject ancestry-specific gene expression provided the transcriptomic background upon which the SLE patient signatures were built. Although standard therapy affected every gene signature and significantly increased myeloid cell signatures, logistic regression analysis determined that ancestral background significantly changed 23 of 34 gene signatures. Additionally, the strongest association to gene expression changes was found with autoantibodies, and this also had etiology in ancestry: the AA predisposition to have both RNP and dsDNA autoantibodies compared with EA predisposition to have only anti-dsDNA. A machine learning approach was used to determine a gene signature characteristic to distinguish AA SLE and was most influenced by genes characteristic of the perturbed B cell axis in AA SLE patients. American Society for Clinical Investigation 2020-08-06 /pmc/articles/PMC7455079/ /pubmed/32759501 http://dx.doi.org/10.1172/jci.insight.140380 Text en © 2020 Catalina et al. http://creativecommons.org/licenses/by/4.0/ This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Catalina, Michelle D.
Bachali, Prathyusha
Yeo, Anthony E.
Geraci, Nicholas S.
Petri, Michelle A.
Grammer, Amrie C.
Lipsky, Peter E.
Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
title Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
title_full Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
title_fullStr Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
title_full_unstemmed Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
title_short Patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
title_sort patient ancestry significantly contributes to molecular heterogeneity of systemic lupus erythematosus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455079/
https://www.ncbi.nlm.nih.gov/pubmed/32759501
http://dx.doi.org/10.1172/jci.insight.140380
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