HLA-DRB1*12:02:01 plays a protective role against coronary artery disease in women of southern Han Chinese descent

Liu, Benrong; Xiong, Lize; Tian, Chaowei; Zhou, Qiang; Zhong, Yun; Li, Aiqun; Liu, Shiming

doi:10.1016/j.humimm.2011.11.003

Cited by 9 publications

(3 citation statements)

References 28 publications

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“…We did not identify any protective haplotypes, not even the (DR7)-DQA1*02:01-DQB1*02 haplotype identified by Palikhe et al in the Finnish population [8] for CVD or CVD death, or haplotypes identified in a Chinese population [24]. Possibly, the protective haplotypes or genotypes were not detectable in our study setting, due to their low frequencies or insufficient statistical power to detect their effect.…”

Section: Discussioncontrasting

confidence: 69%

HLA class II is a factor in cardiovascular morbidity and mortality rates in patients with type 1 diabetes

et al. 2012

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Section: Discussioncontrasting

confidence: 69%

HLA class II is a factor in cardiovascular morbidity and mortality rates in patients with type 1 diabetes

et al. 2012

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“…A genome-wide meta-analysis showed HLA-DRB1 was associated with human longevity [18]. Other studies showed various HLA-DRB1 alleles could contribute differently to susceptibility of cardiovascular disease [19,20]. The LDL receptor-related protein 1, which is encoded by LRP1, is a large endocytic and signaling receptor [21].…”

Section: Discussionmentioning

confidence: 99%

Identification of Susceptibility Modules and Genes for Cardiovascular Disease in Diabetic Patients Using WGCNA Analysis

Liang

Sun

Zhao

et al. 2020

Journal of Diabetes Research

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Objective. To identify susceptibility modules and genes for cardiovascular disease in diabetic patients using weighted gene coexpression network analysis (WGCNA). Methods. The raw data of GSE13760 were downloaded from the Gene Expression Omnibus (GEO) website. Genes with a false discovery rate<0.05 and a log2 fold change≥0.5 were included in the analysis. WGCNA was used to build a gene coexpression network, screen important modules, and filter the hub genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed for the genes in modules with clinical interest. Genes with a significance over 0.2 and a module membership over 0.8 were used as hub genes. Subsequently, we screened these hub genes in the published genome-wide SNP data of cardiovascular disease. The overlapped genes were defined as key genes. Results. Fourteen gene coexpression modules were constructed via WGCNA analysis. Module greenyellow was mostly significantly correlated with diabetes. The GO analysis showed that genes in the module greenyellow were mainly enriched in extracellular matrix organization, extracellular exosome, and calcium ion binding. The KEGG analysis showed that the genes in the module greenyellow were mainly enriched in antigen processing and presentation, phagosome. Fifteen genes were identified as hub genes. Finally, HLA-DRB1, LRP1, and MMP2 were identified as key genes. Conclusion. This was the first study that used the WGCNA method to construct a coexpression network to explore diabetes-associated susceptibility modules and genes for cardiovascular disease. Our study identified a module and several key genes that acted as essential components in the etiology of diabetes-associated cardiovascular disease, which may enhance our fundamental knowledge of the molecular mechanisms underlying this disease.

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“…30 Among the most frequent DRB1 alleles (DRB1*09:01, DRB1*15:01, DRB1*15:02, and DRB1*12:02), none is reported to be associated with NPC. The disease associated with those most frequent DRB1 alleles are systemic lupus erythematosus and rhematoid arthritis in Japanese Population, 31 grave disease in Chinese Han population in Taiwan, 32 coronary artery disease in shouthern Han Chinese 33 and systemic sclerosis, which is autoantibody disease, in Chinese. 34 In the principle component analysis, two clusters were observed.…”

Section: Discussionmentioning

confidence: 99%

Nasopharyngeal Carcinoma (NPC) Related Human Leukocyte Antigen (HLA) Haplotype Sharing among Southern East Asian Population

Yuliwulandari

Tokunaga

2017

GMHC

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The human leukocyte antigens (HLAs) play important roles in the immune systems to response to various pathogens and disease among individuals. The aim of this study was analyze the HLA allele and haplotype frequencies of Southern East Asian population that show high incidence of nasopharyngeal carcinoma (NPC) to evaluate the shared HLA haplotype contribution to NPC susceptibility among the population and analyses the genetic affinities between the population. We collect information of HLA haplotype from our previous study, other published paper, and HLA database in 19 population during 2005 to 2015. Haplotype frequencies were estimated using the maximum likelihood method based on an expectation maximization algorithm with ARLEQUIN v.2.0 software. We also calculated the genetic distance among 19 Southern East Asians based on HLA allele frequency using modified Cavalli-Sforza (DA) distance method. Then, a phylogenetic tree was constructed using DISPAN software and principal component analysis (PCA) was performed using XLSTAT-PRO software. A33-B58-DR3 haplotype, tightly linked to NPC, was commonly observed in all populations, supporting the high incidence of NPC in the populations. In addition, A2-B46 haplotype also associated with NPC, was also commonly found in several population that may also have a role in the disease development. The conclusion is the HLA haplotype sharing has an important role than the HLA allele sharing. The A33-B58-DR3 haplotype and A2-B46-DR9 haplotype in this study could be related to NPC in the Southern East Asian populations. The observed haplotype needs to be tested in the real patients to confirm the assumption.

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HLA-DRB1*12:02:01 plays a protective role against coronary artery disease in women of southern Han Chinese descent

Cited by 9 publications

References 28 publications

HLA class II is a factor in cardiovascular morbidity and mortality rates in patients with type 1 diabetes

HLA class II is a factor in cardiovascular morbidity and mortality rates in patients with type 1 diabetes

Identification of Susceptibility Modules and Genes for Cardiovascular Disease in Diabetic Patients Using WGCNA Analysis

Nasopharyngeal Carcinoma (NPC) Related Human Leukocyte Antigen (HLA) Haplotype Sharing among Southern East Asian Population

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