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Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores

BACKGROUND: Rheumatoid arthritis (RA) shares genetic variants with other autoimmune conditions, but existing studies test the association between RA variants with a pre-defined set of phenotypes. The objective of this study was to perform a large-scale, systemic screen to determine phenotypes that s...

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Autores principales: Zhang, Harrison G., McDermott, Greg, Seyok, Thany, Huang, Sicong, Dahal, Kumar, L’Yi, Sehi, Lea-Bonzel, Clara, Stratton, Jacklyn, Weisenfeld, Dana, Monach, Paul, Raychaudhuri, Soumya, Yu, Kun-Hsing, Cai, Tianrun, Cui, Jing, Hong, Chuan, Cai, Tianxi, Liao, Katherine P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173154/
https://www.ncbi.nlm.nih.gov/pubmed/37121095
http://dx.doi.org/10.1016/j.ebiom.2023.104581
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author Zhang, Harrison G.
McDermott, Greg
Seyok, Thany
Huang, Sicong
Dahal, Kumar
L’Yi, Sehi
Lea-Bonzel, Clara
Stratton, Jacklyn
Weisenfeld, Dana
Monach, Paul
Raychaudhuri, Soumya
Yu, Kun-Hsing
Cai, Tianrun
Cui, Jing
Hong, Chuan
Cai, Tianxi
Liao, Katherine P.
author_facet Zhang, Harrison G.
McDermott, Greg
Seyok, Thany
Huang, Sicong
Dahal, Kumar
L’Yi, Sehi
Lea-Bonzel, Clara
Stratton, Jacklyn
Weisenfeld, Dana
Monach, Paul
Raychaudhuri, Soumya
Yu, Kun-Hsing
Cai, Tianrun
Cui, Jing
Hong, Chuan
Cai, Tianxi
Liao, Katherine P.
author_sort Zhang, Harrison G.
collection PubMed
description BACKGROUND: Rheumatoid arthritis (RA) shares genetic variants with other autoimmune conditions, but existing studies test the association between RA variants with a pre-defined set of phenotypes. The objective of this study was to perform a large-scale, systemic screen to determine phenotypes that share genetic architecture with RA to inform our understanding of shared pathways. METHODS: In the UK Biobank (UKB), we constructed RA genetic risk scores (GRS) incorporating human leukocyte antigen (HLA) and non-HLA risk alleles. Phenotypes were defined using groupings of International Classification of Diseases (ICD) codes. Patients with an RA code were excluded to mitigate the possibility of associations being driven by the diagnosis or management of RA. We performed a phenome-wide association study, testing the association between the RA GRS with phenotypes using multivariate generalized estimating equations that adjusted for age, sex, and first five principal components. Statistical significance was defined using Bonferroni correction. Results were replicated in an independent cohort and replicated phenotypes were validated using medical record review of patients. FINDINGS: We studied n = 316,166 subjects from UKB without evidence of RA and screened for association between the RA GRS and n = 1317 phenotypes. In the UKB, 20 phenotypes were significantly associated with the RA GRS, of which 13 (65%) were immune mediated conditions including polymyalgia rheumatica, granulomatosis with polyangiitis (GPA), type 1 diabetes, and multiple sclerosis. We further identified a novel association in Celiac disease where the HLA and non-HLA alleles had strong associations in opposite directions. Strikingly, we observed that the non-HLA GRS was exclusively associated with greater risk of the validated conditions, suggesting shared underlying pathways outside the HLA region. INTERPRETATION: This study replicated and identified novel autoimmune phenotypes verified by medical record review that share immune pathways with RA and may inform opportunities for shared treatment targets, as well as risk assessment for conditions with a paucity of genomic data, such as GPA. FUNDING: This research was funded by the 10.13039/100000002US National Institutes of Health (P30AR072577, R21AR078339, R35GM142879, T32AR007530) and the Harold and DuVal Bowen Fund.
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spelling pubmed-101731542023-05-12 Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores Zhang, Harrison G. McDermott, Greg Seyok, Thany Huang, Sicong Dahal, Kumar L’Yi, Sehi Lea-Bonzel, Clara Stratton, Jacklyn Weisenfeld, Dana Monach, Paul Raychaudhuri, Soumya Yu, Kun-Hsing Cai, Tianrun Cui, Jing Hong, Chuan Cai, Tianxi Liao, Katherine P. eBioMedicine Articles BACKGROUND: Rheumatoid arthritis (RA) shares genetic variants with other autoimmune conditions, but existing studies test the association between RA variants with a pre-defined set of phenotypes. The objective of this study was to perform a large-scale, systemic screen to determine phenotypes that share genetic architecture with RA to inform our understanding of shared pathways. METHODS: In the UK Biobank (UKB), we constructed RA genetic risk scores (GRS) incorporating human leukocyte antigen (HLA) and non-HLA risk alleles. Phenotypes were defined using groupings of International Classification of Diseases (ICD) codes. Patients with an RA code were excluded to mitigate the possibility of associations being driven by the diagnosis or management of RA. We performed a phenome-wide association study, testing the association between the RA GRS with phenotypes using multivariate generalized estimating equations that adjusted for age, sex, and first five principal components. Statistical significance was defined using Bonferroni correction. Results were replicated in an independent cohort and replicated phenotypes were validated using medical record review of patients. FINDINGS: We studied n = 316,166 subjects from UKB without evidence of RA and screened for association between the RA GRS and n = 1317 phenotypes. In the UKB, 20 phenotypes were significantly associated with the RA GRS, of which 13 (65%) were immune mediated conditions including polymyalgia rheumatica, granulomatosis with polyangiitis (GPA), type 1 diabetes, and multiple sclerosis. We further identified a novel association in Celiac disease where the HLA and non-HLA alleles had strong associations in opposite directions. Strikingly, we observed that the non-HLA GRS was exclusively associated with greater risk of the validated conditions, suggesting shared underlying pathways outside the HLA region. INTERPRETATION: This study replicated and identified novel autoimmune phenotypes verified by medical record review that share immune pathways with RA and may inform opportunities for shared treatment targets, as well as risk assessment for conditions with a paucity of genomic data, such as GPA. FUNDING: This research was funded by the 10.13039/100000002US National Institutes of Health (P30AR072577, R21AR078339, R35GM142879, T32AR007530) and the Harold and DuVal Bowen Fund. Elsevier 2023-04-28 /pmc/articles/PMC10173154/ /pubmed/37121095 http://dx.doi.org/10.1016/j.ebiom.2023.104581 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Zhang, Harrison G.
McDermott, Greg
Seyok, Thany
Huang, Sicong
Dahal, Kumar
L’Yi, Sehi
Lea-Bonzel, Clara
Stratton, Jacklyn
Weisenfeld, Dana
Monach, Paul
Raychaudhuri, Soumya
Yu, Kun-Hsing
Cai, Tianrun
Cui, Jing
Hong, Chuan
Cai, Tianxi
Liao, Katherine P.
Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores
title Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores
title_full Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores
title_fullStr Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores
title_full_unstemmed Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores
title_short Identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores
title_sort identifying shared genetic architecture between rheumatoid arthritis and other conditions: a phenome-wide association study with genetic risk scores
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173154/
https://www.ncbi.nlm.nih.gov/pubmed/37121095
http://dx.doi.org/10.1016/j.ebiom.2023.104581
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