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Genetic susceptibility for autoimmune diseases and white blood cell count

Some autoimmune (AI) conditions affect white blood cell (WBC) counts. Whether a genetic predisposition to AI disease associates with WBC counts in populations expected to have low numbers of AI cases is not known. We developed genetic instruments for 7 AI diseases using genome-wide association study...

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Autores principales: Vaitinadin, Nataraja Sarma, Stein, C. Michael, Mosley, Jonathan D., Kawai, Vivian K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090175/
https://www.ncbi.nlm.nih.gov/pubmed/37041293
http://dx.doi.org/10.1038/s41598-023-32799-8
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author Vaitinadin, Nataraja Sarma
Stein, C. Michael
Mosley, Jonathan D.
Kawai, Vivian K.
author_facet Vaitinadin, Nataraja Sarma
Stein, C. Michael
Mosley, Jonathan D.
Kawai, Vivian K.
author_sort Vaitinadin, Nataraja Sarma
collection PubMed
description Some autoimmune (AI) conditions affect white blood cell (WBC) counts. Whether a genetic predisposition to AI disease associates with WBC counts in populations expected to have low numbers of AI cases is not known. We developed genetic instruments for 7 AI diseases using genome-wide association study summary statistics. Two-sample inverse variance weighted regression (IVWR) was used to determine associations between each instrument and WBC counts. Effect size represents change in transformed WBC counts per change in log odds-ratio of the disease. For AI diseases with significant associations by IVWR, polygenic risk scores (PRS) were used to test for associations with measured WBC counts in individuals of European ancestry in a community-based (ARIC, n = 8926), and a medical-center derived cohort (BioVU, n = 40,461). The IVWR analyses revealed significant associations between 3 AI diseases and WBC counts: systemic lupus erythematous (Beta = − 0.05 [95% CI, − 0.06, − 0.03]), multiple sclerosis (Beta =  − 0.06 [− 0.10, − 0.03]), and rheumatoid arthritis (Beta = 0.02 [0.01, 0.03]). PRS for these diseases showed associations with measured WBC counts in ARIC and BioVU. Effect sizes tended to be larger among females, consistent with the known higher prevalence of these diseases among this group. This study shows that genetic predisposition to systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis was associated with WBC counts, even in populations expected to have very low numbers of disease cases.
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spelling pubmed-100901752023-04-13 Genetic susceptibility for autoimmune diseases and white blood cell count Vaitinadin, Nataraja Sarma Stein, C. Michael Mosley, Jonathan D. Kawai, Vivian K. Sci Rep Article Some autoimmune (AI) conditions affect white blood cell (WBC) counts. Whether a genetic predisposition to AI disease associates with WBC counts in populations expected to have low numbers of AI cases is not known. We developed genetic instruments for 7 AI diseases using genome-wide association study summary statistics. Two-sample inverse variance weighted regression (IVWR) was used to determine associations between each instrument and WBC counts. Effect size represents change in transformed WBC counts per change in log odds-ratio of the disease. For AI diseases with significant associations by IVWR, polygenic risk scores (PRS) were used to test for associations with measured WBC counts in individuals of European ancestry in a community-based (ARIC, n = 8926), and a medical-center derived cohort (BioVU, n = 40,461). The IVWR analyses revealed significant associations between 3 AI diseases and WBC counts: systemic lupus erythematous (Beta = − 0.05 [95% CI, − 0.06, − 0.03]), multiple sclerosis (Beta =  − 0.06 [− 0.10, − 0.03]), and rheumatoid arthritis (Beta = 0.02 [0.01, 0.03]). PRS for these diseases showed associations with measured WBC counts in ARIC and BioVU. Effect sizes tended to be larger among females, consistent with the known higher prevalence of these diseases among this group. This study shows that genetic predisposition to systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis was associated with WBC counts, even in populations expected to have very low numbers of disease cases. Nature Publishing Group UK 2023-04-11 /pmc/articles/PMC10090175/ /pubmed/37041293 http://dx.doi.org/10.1038/s41598-023-32799-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Vaitinadin, Nataraja Sarma
Stein, C. Michael
Mosley, Jonathan D.
Kawai, Vivian K.
Genetic susceptibility for autoimmune diseases and white blood cell count
title Genetic susceptibility for autoimmune diseases and white blood cell count
title_full Genetic susceptibility for autoimmune diseases and white blood cell count
title_fullStr Genetic susceptibility for autoimmune diseases and white blood cell count
title_full_unstemmed Genetic susceptibility for autoimmune diseases and white blood cell count
title_short Genetic susceptibility for autoimmune diseases and white blood cell count
title_sort genetic susceptibility for autoimmune diseases and white blood cell count
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10090175/
https://www.ncbi.nlm.nih.gov/pubmed/37041293
http://dx.doi.org/10.1038/s41598-023-32799-8
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