Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 Diabetes

ObjectivesN6-methyladenosine (m6A) is essential in the regulation of the immune system, but the role that its single nucleotide polymorphisms (SNPs) play in the pathogenesis of type 1 diabetes (T1D) remains unknown. This study demonstrated the association between genetic variants in m6A regulators a...

Full description

Bibliographic Details
Main Authors: Yang Chen, Min Shen, Chen Ji, Yanqian Huang, Yun Shi, Li Ji, Yao Qin, Yong Gu, Qi Fu, Heng Chen, Kuanfeng Xu, Tao Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.913345/full
_version_ 1828822076866166784
author Yang Chen
Min Shen
Chen Ji
Yanqian Huang
Yun Shi
Li Ji
Yao Qin
Yong Gu
Qi Fu
Heng Chen
Kuanfeng Xu
Tao Yang
author_facet Yang Chen
Min Shen
Chen Ji
Yanqian Huang
Yun Shi
Li Ji
Yao Qin
Yong Gu
Qi Fu
Heng Chen
Kuanfeng Xu
Tao Yang
author_sort Yang Chen
collection DOAJ
description ObjectivesN6-methyladenosine (m6A) is essential in the regulation of the immune system, but the role that its single nucleotide polymorphisms (SNPs) play in the pathogenesis of type 1 diabetes (T1D) remains unknown. This study demonstrated the association between genetic variants in m6A regulators and T1D risk based on a case-control study in a Chinese population.MethodsThe tagging SNPs in m6A regulators were genotyped in 1005 autoantibody-positive patients with T1D and 1257 controls using the Illumina Human OmniZhongHua-8 platform. Islet-specific autoantibodies were examined by radioimmunoprecipitation in all the patients. The mixed-meal glucose tolerance test was performed on 355 newly diagnosed patients to evaluate their residual islet function. The functional annotations for the identified SNPs were performed in silico. Using 102 samples from a whole-genome expression microarray, key signaling pathways associated with m6A regulators in T1D were comprehendingly evaluated.ResultsUnder the additive model, we observed three tag SNPs in the noncoding region of the PRRC2A (rs2260051, rs3130623) and YTHDC2 (rs1862315) gene are associated with T1D risk. Although no association was found between these SNPs and islet function, patients carrying risk variants had a higher positive rate for ZnT8A, GADA, and IA-2A. Further analyses showed that rs2260051[T] was associated with increased expression of PRRC2A mRNA (P = 7.0E-13), and PRRC2A mRNA was significantly higher in peripheral blood mononuclear cell samples from patients with T1D compared to normal samples (P = 0.022). Enrichment analyses indicated that increased PRRC2A expression engages in the most significant hallmarks of cytokine-cytokine receptor interaction, cell adhesion and chemotaxis, and neurotransmitter regulation pathways. The potential role of increased PRRC2A in disrupting immune homeostasis is through the PI3K/AKT pathway and neuro-immune interactions.ConclusionThis study found intronic variants in PRRC2A and YTHDC2 associated with T1D risk in a Chinese Han population. PRRC2A rs2260051[T] may be implicated in unbalanced immune homeostasis by affecting the expression of PRRC2A mRNA. These findings enriched our understanding of m6A regulators and their intronic SNPs that underlie the pathogenesis of T1D.
first_indexed 2024-12-12T13:06:58Z
format Article
id doaj.art-d6f969dbd1ae4cd39d61849325395179
institution Directory Open Access Journal
issn 1664-2392
language English
last_indexed 2024-12-12T13:06:58Z
publishDate 2022-06-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Endocrinology
spelling doaj.art-d6f969dbd1ae4cd39d618493253951792022-12-22T00:23:37ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-06-011310.3389/fendo.2022.913345913345Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 DiabetesYang Chen0Min Shen1Chen Ji2Yanqian Huang3Yun Shi4Li Ji5Yao Qin6Yong Gu7Qi Fu8Heng Chen9Kuanfeng Xu10Tao Yang11Department of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, ChinaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Emergency Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaDepartment of Endocrinology and Metabolism, The First Affiliated Hospital of Nanjing Medical University, Nanjing, ChinaObjectivesN6-methyladenosine (m6A) is essential in the regulation of the immune system, but the role that its single nucleotide polymorphisms (SNPs) play in the pathogenesis of type 1 diabetes (T1D) remains unknown. This study demonstrated the association between genetic variants in m6A regulators and T1D risk based on a case-control study in a Chinese population.MethodsThe tagging SNPs in m6A regulators were genotyped in 1005 autoantibody-positive patients with T1D and 1257 controls using the Illumina Human OmniZhongHua-8 platform. Islet-specific autoantibodies were examined by radioimmunoprecipitation in all the patients. The mixed-meal glucose tolerance test was performed on 355 newly diagnosed patients to evaluate their residual islet function. The functional annotations for the identified SNPs were performed in silico. Using 102 samples from a whole-genome expression microarray, key signaling pathways associated with m6A regulators in T1D were comprehendingly evaluated.ResultsUnder the additive model, we observed three tag SNPs in the noncoding region of the PRRC2A (rs2260051, rs3130623) and YTHDC2 (rs1862315) gene are associated with T1D risk. Although no association was found between these SNPs and islet function, patients carrying risk variants had a higher positive rate for ZnT8A, GADA, and IA-2A. Further analyses showed that rs2260051[T] was associated with increased expression of PRRC2A mRNA (P = 7.0E-13), and PRRC2A mRNA was significantly higher in peripheral blood mononuclear cell samples from patients with T1D compared to normal samples (P = 0.022). Enrichment analyses indicated that increased PRRC2A expression engages in the most significant hallmarks of cytokine-cytokine receptor interaction, cell adhesion and chemotaxis, and neurotransmitter regulation pathways. The potential role of increased PRRC2A in disrupting immune homeostasis is through the PI3K/AKT pathway and neuro-immune interactions.ConclusionThis study found intronic variants in PRRC2A and YTHDC2 associated with T1D risk in a Chinese Han population. PRRC2A rs2260051[T] may be implicated in unbalanced immune homeostasis by affecting the expression of PRRC2A mRNA. These findings enriched our understanding of m6A regulators and their intronic SNPs that underlie the pathogenesis of T1D.https://www.frontiersin.org/articles/10.3389/fendo.2022.913345/fullm6A (N6-methyladenosine)type 1 diabetes (T1D)single nucleotide polymorphismautoimmune diseaseintronic variant
spellingShingle Yang Chen
Min Shen
Chen Ji
Yanqian Huang
Yun Shi
Li Ji
Yao Qin
Yong Gu
Qi Fu
Heng Chen
Kuanfeng Xu
Tao Yang
Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 Diabetes
Frontiers in Endocrinology
m6A (N6-methyladenosine)
type 1 diabetes (T1D)
single nucleotide polymorphism
autoimmune disease
intronic variant
title Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 Diabetes
title_full Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 Diabetes
title_fullStr Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 Diabetes
title_full_unstemmed Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 Diabetes
title_short Genome-Wide Identification of N6-Methyladenosine Associated SNPs as Potential Functional Variants for Type 1 Diabetes
title_sort genome wide identification of n6 methyladenosine associated snps as potential functional variants for type 1 diabetes
topic m6A (N6-methyladenosine)
type 1 diabetes (T1D)
single nucleotide polymorphism
autoimmune disease
intronic variant
url https://www.frontiersin.org/articles/10.3389/fendo.2022.913345/full
work_keys_str_mv AT yangchen genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT minshen genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT chenji genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT yanqianhuang genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT yunshi genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT liji genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT yaoqin genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT yonggu genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT qifu genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT hengchen genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT kuanfengxu genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes
AT taoyang genomewideidentificationofn6methyladenosineassociatedsnpsaspotentialfunctionalvariantsfortype1diabetes