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Article: Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma
Title | Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma |
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Authors | |
Keywords | Knowledge-based genetic association Susceptibility Hepatitis B virus Hepatocellular carcinoma |
Issue Date | 2020 |
Publisher | BioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmccancer/ |
Citation | BMC Cancer, 2020, v. 20, p. article no. 403 How to Cite? |
Abstract | Background:
Recent genome-wide association studies (GWASs) have suggested several susceptibility loci of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) by statistical analysis at individual single-nucleotide polymorphisms (SNPs). However, these loci only explain a small fraction of HBV-related HCC heritability. In the present study, we aimed to identify additional susceptibility loci of HBV-related HCC using advanced knowledge-based analysis.
Methods:
We performed knowledge-based analysis (including gene- and gene-set-based association tests) on variant-level association p-values from two existing GWASs of HBV-related HCC. Five different types of gene-sets were collected for the association analysis. A number of SNPs within the gene prioritized by the knowledge-based association tests were selected to replicate genetic associations in an independent sample of 965 cases and 923 controls.
Results:
The gene-based association analysis detected four genes significantly or suggestively associated with HBV-related HCC risk: SLC39A8, GOLGA8M, SMIM31, and WHAMMP2. The gene-set-based association analysis prioritized two promising gene sets for HCC, cell cycle G1/S transition and NOTCH1 intracellular domain regulates transcription. Within the gene sets, three promising candidate genes (CDC45, NCOR1 and KAT2A) were further prioritized for HCC. Among genes of liver-specific expression, multiple genes previously implicated in HCC were also highlighted. However, probably due to small sample size, none of the genes prioritized by the knowledge-based association analyses were successfully replicated by variant-level association test in the independent sample.
Conclusions:
This comprehensive knowledge-based association mining study suggested several promising genes and gene-sets associated with HBV-related HCC risks, which would facilitate follow-up functional studies on the pathogenic mechanism of HCC. |
Persistent Identifier | http://hdl.handle.net/10722/304752 |
ISSN | 2023 Impact Factor: 3.4 2023 SCImago Journal Rankings: 1.087 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jiang, DK | - |
dc.contributor.author | Deng, J | - |
dc.contributor.author | Dong, C | - |
dc.contributor.author | Ma, X | - |
dc.contributor.author | Xiao, Q | - |
dc.contributor.author | Zhou, B | - |
dc.contributor.author | Yang, C | - |
dc.contributor.author | Wei, L | - |
dc.contributor.author | Conran, C | - |
dc.contributor.author | Zheng, SL | - |
dc.contributor.author | Ng, IOL | - |
dc.contributor.author | Yu, L | - |
dc.contributor.author | Xu, J | - |
dc.contributor.author | Sham, PC | - |
dc.contributor.author | Qi, X | - |
dc.contributor.author | Hou, J | - |
dc.contributor.author | Ji, Y | - |
dc.contributor.author | Cao, G | - |
dc.contributor.author | Li, M | - |
dc.date.accessioned | 2021-10-05T02:34:40Z | - |
dc.date.available | 2021-10-05T02:34:40Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | BMC Cancer, 2020, v. 20, p. article no. 403 | - |
dc.identifier.issn | 1471-2407 | - |
dc.identifier.uri | http://hdl.handle.net/10722/304752 | - |
dc.description.abstract | Background: Recent genome-wide association studies (GWASs) have suggested several susceptibility loci of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) by statistical analysis at individual single-nucleotide polymorphisms (SNPs). However, these loci only explain a small fraction of HBV-related HCC heritability. In the present study, we aimed to identify additional susceptibility loci of HBV-related HCC using advanced knowledge-based analysis. Methods: We performed knowledge-based analysis (including gene- and gene-set-based association tests) on variant-level association p-values from two existing GWASs of HBV-related HCC. Five different types of gene-sets were collected for the association analysis. A number of SNPs within the gene prioritized by the knowledge-based association tests were selected to replicate genetic associations in an independent sample of 965 cases and 923 controls. Results: The gene-based association analysis detected four genes significantly or suggestively associated with HBV-related HCC risk: SLC39A8, GOLGA8M, SMIM31, and WHAMMP2. The gene-set-based association analysis prioritized two promising gene sets for HCC, cell cycle G1/S transition and NOTCH1 intracellular domain regulates transcription. Within the gene sets, three promising candidate genes (CDC45, NCOR1 and KAT2A) were further prioritized for HCC. Among genes of liver-specific expression, multiple genes previously implicated in HCC were also highlighted. However, probably due to small sample size, none of the genes prioritized by the knowledge-based association analyses were successfully replicated by variant-level association test in the independent sample. Conclusions: This comprehensive knowledge-based association mining study suggested several promising genes and gene-sets associated with HBV-related HCC risks, which would facilitate follow-up functional studies on the pathogenic mechanism of HCC. | - |
dc.language | eng | - |
dc.publisher | BioMed Central Ltd. The Journal's web site is located at http://www.biomedcentral.com/bmccancer/ | - |
dc.relation.ispartof | BMC Cancer | - |
dc.rights | BMC Cancer. Copyright © BioMed Central Ltd. | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Knowledge-based genetic association | - |
dc.subject | Susceptibility | - |
dc.subject | Hepatitis B virus | - |
dc.subject | Hepatocellular carcinoma | - |
dc.title | Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma | - |
dc.type | Article | - |
dc.identifier.email | Ng, IOL: iolng@hku.hk | - |
dc.identifier.email | Sham, PC: pcsham@hku.hk | - |
dc.identifier.authority | Ng, IOL=rp00335 | - |
dc.identifier.authority | Sham, PC=rp00459 | - |
dc.identifier.authority | Li, M=rp01722 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1186/s12885-020-06842-0 | - |
dc.identifier.pmid | 32393195 | - |
dc.identifier.pmcid | PMC7216662 | - |
dc.identifier.scopus | eid_2-s2.0-85084579198 | - |
dc.identifier.hkuros | 325815 | - |
dc.identifier.volume | 20 | - |
dc.identifier.spage | article no. 403 | - |
dc.identifier.epage | article no. 403 | - |
dc.identifier.isi | WOS:000534338800001 | - |
dc.publisher.place | United Kingdom | - |