Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Affymetrix SNP6.0 array data for different clinical outcomes of HBV infection

ABSTRACT: Chronic hepatitis B virus (HBV) infection is a serious global public health problem. To identify susceptibility loci for disease progression of HBV infection, we performed this genome-wide association study using DNA pools of case and control constructed by progressed HBV carriers (acute liver failure, liver cirrhosis, hepatocellular carcinoma) and asymptomatic HBV carriers separately. Performing GWAS on pools of DNA samples is an effective strategy to reduce the costs of studies and pooling DNA has been shown to be an efficient method to select candidate susceptibility loci for follow-up by individual genotyping. Affymetrix Genome-Wide Human Mapping SNP6.0 Arrays were performed for DNA pools, which were constructed by pooling 120 ng DNA from each participant. Four independent pools were created: case A was acute liver failure group (n = 86), case B was liver cirrhosis group (n = 88), case C was hepatocellular carcinoma group (n = 90) and case D was asymptomatic HBV carriers (n = 66) that was considered as control. Twelve chips (each pool was replicated in triplicate) were finished according to the manufacturer's instruction.

ORGANISM(S): Homo sapiens

SUBMITTER: Lin Ju-Sheng

PROVIDER: E-GEOD-26034 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

A genome-wide association study with DNA pooling identifies the variant rs11866328 in the GRIN2A gene that affects disease progression of chronic HBV infection.

Liu Lifeng L Li Jin J Yao Jinjian J Yu Jinling J Zhang Jinliang J Ning Qin Q Wen Zirong Z Yang Daguo D He Yongwen Y Kong Xinjuan X Song Qilong Q Chen Man M Yang Hong H Liu Qing Q Li Senlin S Lin Jusheng J

Viral immunology 20111001 5

Host genetics play a vital role in determining clinical outcomes of hepatitis B virus (HBV) infection. To identify novel susceptibility loci to HBV progression, we carried out a genome-wide association study with DNA pooling. This study assessed the relationship between 8 highly-ranked SNPs selected from our DNA pool and disease progression of HBV infection in two independent case-control studies. The first population included 628 asymptomatic HBV carriers (AsC) and 1729 progressed HBV carriers ...[more]

PMID: 22004137

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Project description:Background: Of Hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC), 85%-90% of cases develop from liver cirrhosis, and circular RNAs (circRNAs) have important roles in this process; however, differences in serum circRNA expression profiles between patients with HBV-related cirrhosis and those with HCC have not been studied. Methods: Serum RNA was extracted from patients with HCC and cirrhosis (n = 5 per group) and used for microarray analysis of circRNA expression profiles. Bioinformatics analyses, including clustering, differential expression, and construction of a ceRNA network, were performed. Quantitative real-time reverse transcription PCR validation analysis was conducted using samples from patients with HBV-related cirrhosis (n = 88) and HCC (n = 73). Further, statistical analyses were used to analyze the potential function and value of selected circRNAs with expression differing between the HBV-related cirrhosis and HCC groups. Results: Cluster analysis revealed 8 up-regulated and 80 down-regulated circRNAs. Further, qRT-PCR analysis showed that circRNA_0000367 expression was consistent with that detected by microarray experiments, with significantly lower levels in patients with HBV-related HCC than those with HBV-related cirrhosis. CircRNA_0000367 expression levels were also significantly lower in patients with drug-resistant HBV and those with HBV-related cirrhosis with Model for End-Stage Liver Disease score < 10. Further, circRNA_00000367 expression levels were lower in patients with HBV-related cirrhosis who progressed to HCC. Analysis of the lncRNA-miRNA-mRNA ceRNA network identified 39 miRNAs and 24 mRNAs involved in circRNA_00000367 networks; these target genes were involved in various biological processes and signaling pathways. Conclusion: Serum cicrRNA_0000367 is a potential HCC biomarker in patients with HBV-related cirrhosis, where down-regulation of cicrRNA_0000367 in HBV-related cirrhosis may be associated with progression to HCC.

Project description:Chromothripsis represents an extreme class of complex chromosome rearrangements (CCRs) with major effects on chromosomal architecture. Although recent studies have associated chromothripsis with congenital abnormalities, the incidence and pathogenic effects of this phenomenon require further investigation. Here, we analyzed the genomes of three families in which chromothripsis rearrangements were transmitted from a female carrier to her child. The chromothripsis in the carriers resulted in completely balanced rearrangements involving 8-23 breakpoint junctions across 3-5 chromosomes. Two carriers did not show any phenotypic malformations, although 3-13 protein coding genes were affected by breakpoints. Unbalanced but stable transmission of a subset of the derivative chromosomes caused apparently de novo complex copy number changes in two children. This resulted in gene dosage changes, which are likely responsible for their severe congenital phenotypes. In contrast, one patient with severe congenital disease, carried all three chromothripsis chromosomes from his healthy mother, but one of the chromosomes acquired de novo rearrangements leading to copy number changes. These results show that the human genome can tolerate extreme reshuffling of chromosomal architecture, including breakage of multiple protein coding genes, without noticeable phenotypic effects. The presence of chromothripsis in healthy carriers strongly affects reproduction and is expected to substantially increase the risk of spontaneous abortions and severe congenital disease. We analyzed one patient-parent-mother's parents quintet (case 1) and a patient-siblings-parent quintet (case 2) with Illumina beadchip arrays and one patient-parent trio (case 3) to test for (de novo) copy number variants and to analyze the parental origin of the complex rearrangements in these patients. For case 2, the mother and patient's SNP array data was previously submitted [GSE37906]. aCGH data for case 3 is submitted seperately.

Project description:Purpose: Aberrantly methylated DNA are hallmarks for many cancers, HCC included. Tumor shed its DNA into circulation stream, and serum DNA methylation analysis is a less-invasive and accessable way to judge the primary tumor status. The goals of this study are to compare DNA methylation profiling in serum cell-free DNA from different stages of HCC progression including healthy control, chronic HBV carrier, HBV-related liver Cirrhosis and HCC, to establish HCC development-related aberrnat DNA methylation patterns. Methods: MBD methylCap/seq was carried out to screen differentially methylated CpG islands in serum cell-free DNA on four different stage of HBV-related HCC development. MSP and multiplex-BSP validation was performed using independent serum DNA or tumor and adjacent tissues. Results: Using a MBD methylCap/seq platform, we produced 33- to 37- million raw reads per sample and mapped them, in about half of the raw reads, to human genome(build h19) in the serum cf DNA of healthy control, HBV carrier, HBV cirrhosis and HCC. The mapped reads formed 180k to 260k peaks per sample, with 160 k common peaks shared by four samples. After subtraction of the common peaks, there left 51k, 107k and 78 k DMRs representing hypermethylations, in HBV carrier, HBV cirrhosis and HCC, respectively. We define those DMRs as early, middle and late when these DMRS occurred and maintained in HBV carrier, HBV cirrhosis and HCC, which including 27k, 24k and 19k DMRs, corresponding to 1,416, 1,337, 1,006 genes. GO analysis of them revealed gene categories and pathways associated with tumorogenenisis related process Conclusions: Our study represents the first detailed analysis of serum cf-DNA methylation profiling in the progression of HBV related HCC development. The processed data analysis here offers a comprehensive evaluation of DNA methylation in serum cf DNA. We conclude that MBD methylCap/seq based methylation profiling would benefit epigenetic research in HCC.

Dataset Information

Affymetrix SNP6.0 array data for different clinical outcomes of HBV infection

Publications

A genome-wide association study with DNA pooling identifies the variant rs11866328 in the GRIN2A gene that affects disease progression of chronic HBV infection.

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