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Zhang W, Ding R, Hu Y, Wei W, Tian D, Qin N, Yu H, Wang X. Unraveling susceptibility genes: A contemporary overview of autoimmune thyroid diseases. Int Immunopharmacol 2024; 136:112313. [PMID: 38810306 DOI: 10.1016/j.intimp.2024.112313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 05/17/2024] [Accepted: 05/19/2024] [Indexed: 05/31/2024]
Abstract
Autoimmune thyroid diseases (AITDs), including Graves' disease and Hashimoto's thyroiditis, are organ-specific autoimmune disorders characterized by conditions including goiter, autoimmune thyroiditis, hyperthyroidism, and hypothyroidism, which represent the most severe clinical manifestations of AITDs. The prevalence of autoimmune thyroid disorders is on the rise, influenced by increased environmental factors and changes in modern lifestyles. Understanding the pathophysiology of AITDs is crucial for identifying key factors that affect the disease's onset, progression, and recurrence, thereby laying a solid foundation for precise diagnosis and treatment. The development of AITDs involves a complex interplay of environmental influences, immune dysfunctions, and genetic predispositions. Genetic predispositions, in particular, are significant, with numerous genes identified as being linked to AITDs. This article focuses on examining the genes vulnerable to AITDs to deepen our understanding of the relevant genetic contributors, ultimately facilitating the development of effective prevention and treatment methods.
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Affiliation(s)
- Wenxin Zhang
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Rong Ding
- School of Basic Medical Sciences, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Yuelin Hu
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Wenwen Wei
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Dan Tian
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Nalin Qin
- School of Basic Medical Sciences, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China
| | - Hongsong Yu
- Department of Immunology, Special Key Laboratory of Gene Detection and Therapy of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China.
| | - Xin Wang
- School of Basic Medical Sciences, Special Key Laboratory of Ocular Diseases of Guizhou Province, Zunyi Medical University, Zunyi, Guizhou, China.
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Wang S, Liu H, Yang P, Wang Z, Ye P, Xia J, Chen S. A role of inflammaging in aortic aneurysm: new insights from bioinformatics analysis. Front Immunol 2023; 14:1260688. [PMID: 37744379 PMCID: PMC10511768 DOI: 10.3389/fimmu.2023.1260688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 08/23/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction Aortic aneurysms (AA) are prevalent worldwide with a notable absence of drug therapies. Thus, identifying potential drug targets is of utmost importance. AA often presents in the elderly, coupled with consistently raised serum inflammatory markers. Given that ageing and inflammation are pivotal processes linked to the evolution of AA, we have identified key genes involved in the inflammaging process of AA development through various bioinformatics methods, thereby providing potential molecular targets for further investigation. Methods The transcriptome data of AA was procured from the datasets GSE140947, GSE7084, and GSE47472, sourced from the NCBI GEO database, whilst gene data of ageing and inflammation were obtained from the GeneCards Database. To identify key genes, differentially expressed analysis using the "Limma" package and WGCNA were implemented. Protein-protein intersection (PPI) analysis and machine learning (ML) algorithms were employed for the screening of potential biomarkers, followed by an assessment of the diagnostic value. Following the acquisition of the hub inflammaging and AA-related differentially expressed genes (IADEGs), the TFs-mRNAs-miRNAs regulatory network was established. The CIBERSORT algorithm was utilized to investigate immune cell infiltration in AA. The correlation of hub IADEGs with infiltrating immunocytes was also evaluated. Lastly, wet laboratory experiments were carried out to confirm the expression of hub IADEGs. Results 342 and 715 AA-related DEGs (ADEGs) recognized from GSE140947 and GSE7084 datasets were procured by intersecting the results of "Limma" and WGCNA analyses. After 83 IADEGs were obtained, PPI analysis and ML algorithms pinpointed 7 and 5 hub IADEGs candidates respectively, and 6 of them demonstrated a high diagnostic value. Immune cell infiltration outcomes unveiled immune dysregulation in AA. In the wet laboratory experiments, 3 hub IADEGs, including BLNK, HLA-DRA, and HLA-DQB1, finally exhibited an expression trend in line with the bioinformatics analysis result. Discussion Our research identified three genes - BLNK, HLA-DRA, and HLA-DQB1- that play a significant role in promoting the development of AA through inflammaging, providing novel insights into the future understanding and therapeutic intervention of AA.
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Affiliation(s)
- Shilin Wang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Liu
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Peiwen Yang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiwen Wang
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ping Ye
- Department of Cardiology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiahong Xia
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shu Chen
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Xiao W, Li J, Huang X, Zhu Q, Liu T, Xie H, Deng Z, Tang Y. Mediation roles of neutrophils and high-density lipoprotein (HDL) on the relationship between HLA-DQB1 and rosacea. Ann Med 2022; 54:1530-1537. [PMID: 35622385 PMCID: PMC9891224 DOI: 10.1080/07853890.2022.2077427] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Though the previous genome-wide association studies found the association between HLA alleles and rosacea in the European populations, the data is lacking among the Asians. Moreover, neutrophils are important in the immune-related mechanism of rosacea, and dyslipidemia is closely related to rosacea. We aimed to explore the association between HLA genes and rosacea in Chinese rosacea patients, as well as the mediation effect of neutrophils, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) on the relationship between HLA genes and rosacea. METHODS A total of 249 rosacea and 150 controls were ranked by the international investigator global rosacea severity scores. HLA genes, neutrophils, HDL, and LDL were detected. And their mediation effects on the relationship between HLA and rosacea risk or severity were analysed. RESULTS HLA-DQB1*03:03 allele (OR = 41.89, 95% CI: 9.80 ∼ 179.09, p = 4.7*10-7), HLA-DQB1*04:02 allele (OR = 0.16, 95% CI: 0.03 ∼ 0.81, p = 0.026) and HLA-DQB1*03:03/05:02 genotype (OR = 5.57, 95% CI: 1.13 ∼ 27.52, p = 0.0351) were significantly associated with rosacea. Moreover, HLA-DQB1*03:03 allele (b = 1.434, SE = 0.217, p = 2.0*10-10), HLA-DQB1*05:01 allele (b = 0.894, SE = 0.33520, p = 0.008) and HLA-DQB1*03:03/06:01 genotype (b = 0.998, SE = 0.472, p = 0.040) were positively associated with rosacea severity. Furthermore, we found both neutrophils and HDL, instead of LDL, have mediation effects on the relationship between HLA-DQB1*03:03 and risk or severity of rosacea. CONCLUSIONS We discovered novel susceptible HLA alleles for rosacea in the Chinese population, and disclosed the mediation effect of neutrophils and HDL on the relationship between HLA-DQB1 and rosacea, implying a possible correlation between rosacea and inflammatory or metabolic factors, providing hints for future studies in the mechanism of rosacea. Key messagesHLA-DQB1*03:03 allele, HLA-DQB1*04:02 allele and HLA-DQB1*03:03/05:02 genotype were significantly associated with rosacea.HLA-DQB1*03:03 allele, HLA-DQB1*05:01 allele and HLA-DQB1*03:03/06:01 genotype were positively associated with rosacea severity.Neutrophils and HDL have mediation effects on the relationship between HLA-DQB1*03:03 and risk or severity of rosacea.
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Affiliation(s)
- Wenqin Xiao
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratary of Aging Biology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Central South Univerisity, Changsha, China
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratary of Aging Biology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Central South Univerisity, Changsha, China
| | - Xin Huang
- Department of Epidemiology and Biostatistics, School of Medicine, Hunan Normal University, Changsha, China
| | - Quan Zhu
- Department of Immunology, Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Tangxiele Liu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratary of Aging Biology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Central South Univerisity, Changsha, China
| | - Hongfu Xie
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratary of Aging Biology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Central South Univerisity, Changsha, China
| | - Zhili Deng
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratary of Aging Biology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Central South Univerisity, Changsha, China
| | - Yan Tang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China.,Hunan Key Laboratary of Aging Biology, Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Central South Univerisity, Changsha, China
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HLA-DRA Gene Polymorphisms Are Associated with Graves’ Disease as an Autoimmune Thyroid Disease. BIOMED RESEARCH INTERNATIONAL 2022; 2022:6839634. [PMID: 36132072 PMCID: PMC9484895 DOI: 10.1155/2022/6839634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 08/04/2022] [Indexed: 11/17/2022]
Abstract
Background Autoimmune thyroid disease (AITD), one of the most prevalent organ-specific autoimmune diseases, mainly includes Graves' disease (GD) and Hashimoto's thyroiditis (HT). This study was aimed at researching the association between AITD and single nucleotide polymorphisms (SNPs) of the HLA-DRA gene. Methods Using Hi-SNP high-throughput sequencing technology, we detected the distribution of three SNPs (rs3177928, rs7197, and rs3129878) of HLA-DRA genotypes in 1033 AITD patients (634 GD and 399 HT ones) and 791 healthy volunteers in Chinese Han Population. Chi-square test, multivariate logistic regression, and haplotype analysis were performed by SPSS and Haploview software to analyze the relationship between HLA-DRA gene polymorphisms and AITD. Results The results show that allele frequency and genotype distribution of rs3177928 and rs7197 were correlated with AITD and GD compared with the healthy control group, but not with HT. Rs3177928 and rs7197 were correlated with AITD and HT in the allele model, dominant model, and overdominant model before and after gender and age adjustment, but not with HT. In addition, we found that two loci (rs3177928 and rs7197) constituted a linkage disequilibrium (LD) region, and haplotype AA was associated with AITD and GD. However, we found no association between rs3129878 and AITD. Conclusion Our study is the first to find that rs3177928 and rs7197 of HLA-DRA are significantly correlated with AITD and GD in the Chinese Han population. This will help further reveal the pathogenesis of AITD and provide new candidate genes for the prediction or treatment of AITD.
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Association of IL-1 β, NLRP3, and COX-2 Gene Polymorphisms with Autoimmune Thyroid Disease Risk and Clinical Features in the Iranian Population. BIOMED RESEARCH INTERNATIONAL 2021; 2021:7729238. [PMID: 34790822 PMCID: PMC8592725 DOI: 10.1155/2021/7729238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 09/11/2021] [Accepted: 10/20/2021] [Indexed: 11/17/2022]
Abstract
Background Grave's disease (GD) and Hashimoto's thyroiditis (HT) are autoimmune diseases of the thyroid gland in which genetic predisposition plays a major role in their development. Currently, the role of NLRP3 inflammasome and COX-2 has been documented in many autoimmune diseases. The purpose of the study is to delineate the impact of IL-1β (rs1143634), NLRP3 (rs3806265), and COX-2 (rs2745557) gene polymorphisms in the development of GD and HT. Methods A total of 256 newly diagnosed patients with autoimmune thyroid disease (135 patients with HT and 121 GD patients) as case groups and 145 controls were included in the study. Results Recessive and overdominant models showed a significant association between IL-1β rs1143634 SNP and HT development risk. The frequency of TT genotype and T allele of IL-1β rs1143634 SNP in the control group was significantly higher than the GD group. There was no significant association between NLRP3 rs3806265 polymorphism and HT and GD development. The frequency of GA genotype of COX-2 (rs2745557) in the control group was significantly higher than that in the HT group. There was no significant association between COX-2 rs2745557 genotypic and allelic distribution and GD development risk. The results revealed a significant relationship between some clinical features of HT and GD groups and SNPs studied. Conclusion The results manifest the significant impact of IL-1β rs1143634 and COX-2 (rs2745557) SNPs and HT development and IL-1β rs1143634 SNP on GD occurrence risk. Furthermore, a significant relationship was observed between some clinical features of HT and GD groups and studied SNPs.
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Rajaei E, Jalali MT, Shahrabi S, Asnafi AA, Pezeshki SMS. HLAs in Autoimmune Diseases: Dependable Diagnostic Biomarkers? Curr Rheumatol Rev 2020; 15:269-276. [PMID: 30644346 DOI: 10.2174/1573397115666190115143226] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Revised: 09/08/2018] [Accepted: 04/05/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND The process of antigen presentation to immune cells is an undeniable contributor to the pathogenesis of autoimmune diseases. Different studies have indicated several factors that are related to autoimmunity. Human Leukocyte Antigens (HLAs) are among such factors, which have a key role in autoimmunity because of their involvement in antigen presentation process. METHODS Relevant English language literature was searched and retrieved from Google Scholar search engine and PubMed database (1996-2018). The following keywords were used: "Human leukocyte antigen", "Behcet's syndrome", "Rheumatoid arthritis", "Systemic lupus erythematosus", "Type 1 diabetes", "Celiac Disease" and "Autoimmunity". RESULTS There is a strong association between HLA alleles and autoimmune diseases. For instance, HLA-B alleles and Behcet's syndrome are strongly correlated, and systemic lupus erythematosus and Type 1 diabetes are related to HLA-DQA1 and HLA-DQB1, respectively. CONCLUSION Association between numerous HLA alleles and autoimmune diseases may justify and rationalize their use as biomarkers as well as possible diagnostic laboratory parameters.
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Affiliation(s)
- Elham Rajaei
- Golestan Hospital Clinical Research Development Unit, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mohammad Taha Jalali
- Hyperlipidemia Research Center, Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Saeid Shahrabi
- Department of Biochemistry and Hematology, Faculty of Medicine, Semnan University of Medical Sciences, Semnan, Iran
| | - Ali Amin Asnafi
- Thalassemia & Hemoglobinopathy Research center, Health research institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Seyed Mohammad Sadegh Pezeshki
- Thalassemia & Hemoglobinopathy Research center, Health research institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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Chinniah R, Rajendran MS, Sivanadham R, Adaikalam ML, Ravi PM, Vijayan M, Boopathy S, Pandi S, Sevak V, Karuppiah B. Association of HLA class II alleles/haplotypes and amino acid variations in the peptide binding pockets with rheumatoid arthritis. Int J Rheum Dis 2019; 22:1553-1562. [DOI: 10.1111/1756-185x.13612] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2018] [Revised: 03/28/2019] [Accepted: 04/30/2019] [Indexed: 11/29/2022]
Affiliation(s)
- Rathika Chinniah
- Department of Immunology Madurai Kamaraj University Madurai India
| | | | | | | | | | - Murali Vijayan
- Texas Tech University Health Sciences Center Lubbock Texas
| | | | - Sasiharan Pandi
- Department of Immunology Madurai Kamaraj University Madurai India
| | - Vandit Sevak
- Department of Immunology Madurai Kamaraj University Madurai India
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Shin DH, Baek IC, Kim HJ, Choi EJ, Ahn M, Jung MH, Suh BK, Cho WK, Kim TG. HLA alleles, especially amino-acid signatures of HLA-DPB1, might contribute to the molecular pathogenesis of early-onset autoimmune thyroid disease. PLoS One 2019; 14:e0216941. [PMID: 31091281 PMCID: PMC6519818 DOI: 10.1371/journal.pone.0216941] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 05/01/2019] [Indexed: 11/17/2022] Open
Abstract
The major histocompatibility complex region has been suggested to play an important role in the development of autoimmune thyroid disease (AITD). In this study, we investigated the associations of human leukocyte antigen (HLA) alleles and amino acid variants of HLA with early-onset AITD. HLA class I and class II genes were analyzed in 116 Korean children with AITDs (Graves’ disease [GD]: 71, Hashimoto’s disease [HD]: 45) and 142 healthy controls. HLA-B*46:01 (OR = 3.96, Pc = 0.008), -C*01:02 (OR = 2.51 Pc = 0.04), -DPB1*02:02 (OR = 3.99, Pc = 0.04), and -DPB1*05:01 (OR = 4.6, Pc = 0.003) were significantly associated with GD, and HLA-A*02:07 (OR = 4.68, Pc = 0.045) and -DPB1*02:02 (OR = 6.57, Pc = 0.0001) with HD. The frequency of HLA-DPB1*05:01 was significantly higher in GD patients than in HD patients (Pc = 0.0005). Furthermore, differences were found between patients with Thyroid associated ophthalmopathy (TAO) and those without TAO in the distribution of HLA-B*54:01 (8.6% vs. 30.6%, P = 0.04) and -C*03:03 (37.1% vs. 11.1%, P = 0.02). In the analysis of amino acid variants of HLA molecules, both Leu35 (OR = 23.38, P = 0.0002) and Glu55 (OR = 23.38, P = 0.0002) of HLA-DPB1 were strongly associated with GD and showed different distributions between GD and HD (P = 0.001). Our results suggest that HLA alleles, especially amino-acid signatures of the HLA-DP β chain, might contribute to the molecular pathogenesis of early-onset AITD.
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Affiliation(s)
- Dong-Hwan Shin
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - In-Cheol Baek
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hyung Jae Kim
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Eun-Jeong Choi
- Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Moonbae Ahn
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Min Ho Jung
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Byung-Kyu Suh
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Won Kyoung Cho
- Department of Pediatrics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Tai-Gyu Kim
- Department of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Korea.,Hematopoietic Stem Cell Bank, College of Medicine, The Catholic University of Korea, Seoul, Korea
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James G, Reisberg S, Lepik K, Galwey N, Avillach P, Kolberg L, Mägi R, Esko T, Alexander M, Waterworth D, Loomis AK, Vilo J. An exploratory phenome wide association study linking asthma and liver disease genetic variants to electronic health records from the Estonian Biobank. PLoS One 2019; 14:e0215026. [PMID: 30978214 PMCID: PMC6461350 DOI: 10.1371/journal.pone.0215026] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Accepted: 03/25/2019] [Indexed: 12/22/2022] Open
Abstract
The Estonian Biobank, governed by the Institute of Genomics at the University of Tartu (Biobank), has stored genetic material/DNA and continuously collected data since 2002 on a total of 52,274 individuals representing ~5% of the Estonian adult population and is increasing. To explore the utility of data available in the Biobank, we conducted a phenome-wide association study (PheWAS) in two areas of interest to healthcare researchers; asthma and liver disease. We used 11 asthma and 13 liver disease-associated single nucleotide polymorphisms (SNPs), identified from published genome-wide association studies, to test our ability to detect established associations. We confirmed 2 asthma and 5 liver disease associated variants at nominal significance and directionally consistent with published results. We found 2 associations that were opposite to what was published before (rs4374383:AA increases risk of NASH/NAFLD, rs11597086 increases ALT level). Three SNP-diagnosis pairs passed the phenome-wide significance threshold: rs9273349 and E06 (thyroiditis, p = 5.50x10-8); rs9273349 and E10 (type-1 diabetes, p = 2.60x10-7); and rs2281135 and K76 (non-alcoholic liver diseases, including NAFLD, p = 4.10x10-7). We have validated our approach and confirmed the quality of the data for these conditions. Importantly, we demonstrate that the extensive amount of genetic and medical information from the Estonian Biobank can be successfully utilized for scientific research.
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Affiliation(s)
- Glen James
- AstraZeneca, Global Medical Affairs, Cambridge, United Kingdom
| | - Sulev Reisberg
- Institute of Computer Science, University of Tartu, Tartu, Estonia
- STACC, Tartu, Estonia
- Quretec, Tartu, Estonia
| | - Kaido Lepik
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Nicholas Galwey
- GlaxoSmithKline, Research and Development, Stevenage, United Kingdom
| | - Paul Avillach
- Department of Biomedical Informatics, Harvard Medical School, Boston, United States of America
- Department of Medical Informatics, Erasmus University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Liis Kolberg
- Institute of Computer Science, University of Tartu, Tartu, Estonia
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Myriam Alexander
- GlaxoSmithKline, Research and Development, Stevenage, United Kingdom
| | - Dawn Waterworth
- GlaxoSmithKline, Genetics, Collegeville, PA, United States of America
| | - A. Katrina Loomis
- Pfizer Worldwide Research and Development, Groton, CT, United States of America
| | - Jaak Vilo
- Institute of Computer Science, University of Tartu, Tartu, Estonia
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Sun W, Zhang X, Wu J, Zhao W, Zhao S, Li M. Correlation of TSHR and CTLA-4 Single Nucleotide Polymorphisms with Graves Disease. Int J Genomics 2019; 2019:6982623. [PMID: 31565653 PMCID: PMC6745126 DOI: 10.1155/2019/6982623] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2019] [Revised: 05/16/2019] [Accepted: 06/17/2019] [Indexed: 02/06/2023] Open
Abstract
This study was designed to explore the association between Graves disease (GD) and thyroid-stimulating hormone receptor (TSHR) and cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) single nucleotide polymorphisms (SNPs). We studied a total of 1217 subjects from a Han population in northern Anhui province in China. Six SNPs within TSHR (rs179247, rs12101261, rs2284722, rs4903964, rs2300525, and rs17111394) and four SNPs within CTLA-4 (rs10197319, rs231726, rs231804, and rs1024161) were genotyped via a Taqman probe technique using a Fluidigm EP1 platform. The TSHR alleles rs179247-G, rs12101261-C, and rs4903964-G were negatively correlated with GD, whereas the rs2284722-A and rs17111394-C alleles were positively correlated with GD. Analyzing TSHR SNPs at rs179247, rs2284722, rs12101261, and rs4903964 yielded 8 different haplotypes. There were positive correlations between GD risk and the haplotypes AGTA and AATA (OR = 1.27, 95%CI = 1.07-1.50, P = 0.005; OR = 1.45, 95%CI = 1.21-1.75, P < 0.001, respectively). There were negative correlations between GD risk and the haplotype GGCG (OR = 0.56, 95%CI = 0.46-0.67, P < 0.001). With respect to haplotypes based on SNPs at the TSHR rs2300525 and rs17111394 loci, the CC haplotype was positively correlated with GD risk (OR = 1.32, 95%CI = 1.08-1.60, P = 0.006). Analyzing CTLA-4 SNPs at rs231804, rs1024161, and rs231726 yielded four haplotypes, of which AAA was positively correlated with GD risk (OR = 1.21, 95%CI = 1.02-1.43, P = 0.029). Polymorphisms at rs179247, rs12101261, rs2284722, rs4903964, and rs17111394 were associated with GD susceptibility. Haplotypes of both TSHR and CTLA-4 were additionally related to GD risk.
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Affiliation(s)
- Weihua Sun
- 1Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250000 Shandong Province, China
- 2Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233000 Anhui Province, China
| | - Xiaomei Zhang
- 2Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233000 Anhui Province, China
| | - Jing Wu
- 2Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233000 Anhui Province, China
| | - Wendi Zhao
- 2Department of Endocrinology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233000 Anhui Province, China
| | - Shuangxia Zhao
- 3The Core Laboratory in Medical Center of Clinical Research, Department of Endocrinology, Shanghai Ninth People's Hospital, Shanghai Jiaotong University (SJTU) School of Medicine, Shanghai 200011, China
| | - Minglong Li
- 1Department of Endocrinology, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, 250000 Shandong Province, China
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Padma-Malini R, Rathika C, Ramgopal S, Murali V, Dharmarajan P, Pushkala S, Balakrishnan K. Associations of CTLA4 +49 A/G Dimorphism and HLA-DRB1*/DQB1* Alleles With Type 1 Diabetes from South India. Biochem Genet 2018; 56:489-505. [DOI: 10.1007/s10528-018-9856-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 03/21/2018] [Indexed: 11/29/2022]
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