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Functional Genetics to Understand the Etiology of Autoimmunity

Common variants strongly influence the risk of human autoimmunity. Two categories of variants contribute substantially to the risk: (i) coding variants of HLA genes and (ii) non-coding variants at the non-HLA loci. We recently developed a novel analytic pipeline of T cell receptor (TCR) repertoire t...

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Detalles Bibliográficos
Autores principales: Hatano, Hiroaki, Ishigaki, Kazuyoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048754/
https://www.ncbi.nlm.nih.gov/pubmed/36980846
http://dx.doi.org/10.3390/genes14030572
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author Hatano, Hiroaki
Ishigaki, Kazuyoshi
author_facet Hatano, Hiroaki
Ishigaki, Kazuyoshi
author_sort Hatano, Hiroaki
collection PubMed
description Common variants strongly influence the risk of human autoimmunity. Two categories of variants contribute substantially to the risk: (i) coding variants of HLA genes and (ii) non-coding variants at the non-HLA loci. We recently developed a novel analytic pipeline of T cell receptor (TCR) repertoire to understand how HLA coding variants influence the risk. We identified that the risk variants increase the frequency of auto-reactive T cells. In addition, to understand how non-coding variants contribute to the risk, the researchers conducted integrative analyses using expression quantitative trait loci (eQTL) and splicing quantitative trait loci (sQTL) and demonstrated that the risk non-coding variants dysregulate specific genes’ expression and splicing. These studies provided novel insight into the immunological consequences of two major genetic risks, and we will introduce these research achievements in detail in this review.
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spelling pubmed-100487542023-03-29 Functional Genetics to Understand the Etiology of Autoimmunity Hatano, Hiroaki Ishigaki, Kazuyoshi Genes (Basel) Review Common variants strongly influence the risk of human autoimmunity. Two categories of variants contribute substantially to the risk: (i) coding variants of HLA genes and (ii) non-coding variants at the non-HLA loci. We recently developed a novel analytic pipeline of T cell receptor (TCR) repertoire to understand how HLA coding variants influence the risk. We identified that the risk variants increase the frequency of auto-reactive T cells. In addition, to understand how non-coding variants contribute to the risk, the researchers conducted integrative analyses using expression quantitative trait loci (eQTL) and splicing quantitative trait loci (sQTL) and demonstrated that the risk non-coding variants dysregulate specific genes’ expression and splicing. These studies provided novel insight into the immunological consequences of two major genetic risks, and we will introduce these research achievements in detail in this review. MDPI 2023-02-24 /pmc/articles/PMC10048754/ /pubmed/36980846 http://dx.doi.org/10.3390/genes14030572 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Hatano, Hiroaki
Ishigaki, Kazuyoshi
Functional Genetics to Understand the Etiology of Autoimmunity
title Functional Genetics to Understand the Etiology of Autoimmunity
title_full Functional Genetics to Understand the Etiology of Autoimmunity
title_fullStr Functional Genetics to Understand the Etiology of Autoimmunity
title_full_unstemmed Functional Genetics to Understand the Etiology of Autoimmunity
title_short Functional Genetics to Understand the Etiology of Autoimmunity
title_sort functional genetics to understand the etiology of autoimmunity
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048754/
https://www.ncbi.nlm.nih.gov/pubmed/36980846
http://dx.doi.org/10.3390/genes14030572
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