Identification of 13 Novel Loci in a Genome-Wide Association Study on Taiwanese with Hepatocellular Carcinoma

被引:1
|
作者
Liu, Ting-Yuan [1 ,2 ]
Liao, Chi-Chou [1 ]
Chang, Ya-Sian [1 ]
Chen, Yu-Chia [1 ,2 ]
Chen, Hong-Da [1 ,3 ]
Lai, I-Lu [1 ]
Peng, Cheng-Yuan [4 ]
Chung, Chin-Chun [1 ]
Chou, Yu-Pao [1 ]
Tsai, Fuu-Jen [5 ,6 ,7 ,8 ]
Jeng, Long-Bin [9 ]
Chang, Jan-Gowth [10 ,11 ]
机构
[1] China Med Univ Hosp, Ctr Precis Med, Epigenome Res Ctr, Taichung 40447, Taiwan
[2] China Med Univ Hosp, Dept Med Res, Mill Person Precis Med Initiat, Taichung 40447, Taiwan
[3] China Med Univ Hosp, Dept Lab Med, Taichung 404, Taiwan
[4] China Med Univ Hosp, Dept Internal Med, Sect Hepatobiliary Tract, Taichung 40447, Taiwan
[5] China Med Univ Hosp, Dept Med Res, Taichung 40447, Taiwan
[6] China Med Univ, Sch Chinese Med, Taichung 40402, Taiwan
[7] China Med Univ, Div Pediat Genet, Childrens Hosp, Taichung 40447, Taiwan
[8] Asia Univ, Dept Med Lab Sci & Biotechnol, Taichung 41354, Taiwan
[9] China Med Univ Hosp, Dept Surg, Sect Hepatobiliary Tract, Taichung 40447, Taiwan
[10] Asia Univ, Dept Bioinformat & Med Engn, Taichung 41354, Taiwan
[11] China Med Univ, Dept Med Lab Sci & Biotechnol, Taichung 40402, Taiwan
关键词
biobank; chronic hepatitis; meta-analysis; polygenic risk score; PheWAS; METABOLIC RISK-FACTORS; CHRONIC HEPATITIS-B; METASTASIS; HISTORY; PFKFB3; CELLS;
D O I
10.3390/ijms242216417
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Liver cancer is caused by complex interactions among genetic factors, viral infection, alcohol abuse, and metabolic diseases. We conducted a genome-wide association study and polygenic risk score (PRS) model in Taiwan, employing a nonspecific etiology approach, to identify genetic risk factors for hepatocellular carcinoma (HCC). Our analysis of 2836 HCC cases and 134,549 controls revealed 13 novel associated loci such as the FAM66C gene, noncoding genes, liver-fibrosis-related genes, metabolism-related genes, and HCC-related pathway genes. We incorporated the results from the UK Biobank and Japanese database into our study for meta-analysis to validate our findings. We also identified specific subtypes of the major histocompatibility complex that influence both viral infection and HCC progression. Using this data, we developed a PRS to predict HCC risk in the general population, patients with HCC, and HCC-affected families. The PRS demonstrated higher risk scores in families with multiple HCCs and other cancer cases. This study presents a novel approach to HCC risk analysis, identifies seven new genes associated with HCC development, and introduces a reproducible PRS model for risk assessment.
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页数:20
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