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Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma
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 H...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216662/ https://www.ncbi.nlm.nih.gov/pubmed/32393195 http://dx.doi.org/10.1186/s12885-020-06842-0 |
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author | Jiang, Deke Deng, Jiaen Dong, Changzheng Ma, Xiaopin Xiao, Qianyi Zhou, Bin Yang, Chou Wei, Lin Conran, Carly Zheng, S. Lilly Ng, Irene Oi-lin Yu, Long Xu, Jianfeng Sham, Pak C. Qi, Xiaolong Hou, Jinlin Ji, Yuan Cao, Guangwen Li, Miaoxin |
author_facet | Jiang, Deke Deng, Jiaen Dong, Changzheng Ma, Xiaopin Xiao, Qianyi Zhou, Bin Yang, Chou Wei, Lin Conran, Carly Zheng, S. Lilly Ng, Irene Oi-lin Yu, Long Xu, Jianfeng Sham, Pak C. Qi, Xiaolong Hou, Jinlin Ji, Yuan Cao, Guangwen Li, Miaoxin |
author_sort | Jiang, Deke |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7216662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72166622020-05-18 Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma Jiang, Deke Deng, Jiaen Dong, Changzheng Ma, Xiaopin Xiao, Qianyi Zhou, Bin Yang, Chou Wei, Lin Conran, Carly Zheng, S. Lilly Ng, Irene Oi-lin Yu, Long Xu, Jianfeng Sham, Pak C. Qi, Xiaolong Hou, Jinlin Ji, Yuan Cao, Guangwen Li, Miaoxin BMC Cancer Research Article 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. BioMed Central 2020-05-11 /pmc/articles/PMC7216662/ /pubmed/32393195 http://dx.doi.org/10.1186/s12885-020-06842-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Jiang, Deke Deng, Jiaen Dong, Changzheng Ma, Xiaopin Xiao, Qianyi Zhou, Bin Yang, Chou Wei, Lin Conran, Carly Zheng, S. Lilly Ng, Irene Oi-lin Yu, Long Xu, Jianfeng Sham, Pak C. Qi, Xiaolong Hou, Jinlin Ji, Yuan Cao, Guangwen Li, Miaoxin 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 |
title_full | Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma |
title_fullStr | Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma |
title_full_unstemmed | Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma |
title_short | Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma |
title_sort | knowledge-based analyses reveal new candidate genes associated with risk of hepatitis b virus related hepatocellular carcinoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216662/ https://www.ncbi.nlm.nih.gov/pubmed/32393195 http://dx.doi.org/10.1186/s12885-020-06842-0 |
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