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Special Article
Genetically determined alcohol consumption and cancer risk in Korea
Keum Ji Jung, Ji Woo Baek, Sang Yop Shin, Sun Ha Jee
Epidemiol Health. 2023;45:e2023077.   Published online August 23, 2023
DOI: https://doi.org/10.4178/epih.e2023077
  • 6,153 View
  • 173 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
The purpose of this study was to determine the causal relationship between the genetically determined amount of alcohol consumption and the occurrence of major cancers.
METHODS
The data used in this study were from 129,324 people selected from the Korean Cancer Prevention Study-II, the participants of which visited 18 health examination centers between 2004 and 2013. Cancer incidence was confirmed as of 2020 using data from the National Cancer Center. A genome-wide association study (GWAS) on alcohol consumption was performed using PLINK 2.0, and sex, age, chip type, and principal components were adjusted.
RESULTS
From the GWAS, a genetic risk score for alcohol consumption was calculated and genetically determined alcohol consumption (GDAC) was estimated. GDAC was divided into quintile groups and showed significant causal relationships with rectal cancer and liver cancer, but not with other cancers. For liver cancer, an association was shown in the hepatitis B surface antigen (HBsAg)-negative group, and a particularly strong association was found in the over-60-year-old HBsAg-negative group, in which, compared to the GDAC Q1 group, the Q4 group had a 2.35 times higher risk (95% confidence interval [CI], 1.05 to 5.23), and the Q5 group had a 2.40 times higher risk (95% CI, 1.09 to 5.30).
CONCLUSIONS
The results of this study provided evidence that the amount of alcohol consumed is causally related to the occurrence of rectal cancer and liver cancer in HBsAg-negative individuals. Additional studies should be continued for other cancer types through long-term follow-up.
Summary
Korean summary
본 연구는 유전적으로 결정되는 음주량과 주요 암 발생 사이의 인과 관계를 밝히고자 하였다. 그 결과 유전적으로 결정되는 음주량이 증가할수록 직장암 발생 위험이 높아졌고, 특히 HBsAg 음성인 사람에서 간암 발생 위험이 높아지는 것으로 밝혀졌다.
Key Message
The purpose of this study was to reveal the causal relationship between genetically determined alcohol consumption and the incidence of major cancers. As a result, it was found that as the genetically determined amount of alcohol consumed increases, the risk of rectal cancer increases, and especially in people who are HBsAg negative, the risk of liver cancer increases.

Citations

Citations to this article as recorded by  
  • A pan-cancer analysis of the prognostic implication and oncogenic role of tubulin epsilon and delta complex 2 (TEDC2) in human tumors
    Yang Liu, Jie Zhu, Jing Shen, Yuting Lu, Ke Pan, Chuan Tong, Yao Wang
    Frontiers in Immunology.2024;[Epub]     CrossRef
  • Cancer risk based on alcohol consumption levels: a comprehensive systematic review and meta-analysis
    Seunghee Jun, Hyunjin Park, Ui-Jeong Kim, Eun Jeong Choi, Hye Ah Lee, Bomi Park, Soon Young Lee, Sun Ha Jee, Hyesook Park
    Epidemiology and Health.2023; 45: e2023092.     CrossRef
Original Article
Distribution of dense breasts using screening mammography in Korean women: a retrospective observational study
Jong-Myon Bae, Sang Yop Shin, Eun Hee Kim, Yoon-Nam Kim, Chung Mo Nam
Epidemiol Health. 2014;36:e2014027.   Published online November 4, 2014
DOI: https://doi.org/10.4178/epih/e2014027
  • 19,041 View
  • 144 Download
  • 16 Web of Science
  • 13 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
This retrospective observational study evaluated the distribution of dense breasts by age group among healthy Korean women.
METHODS
Participants were women aged 30 years and older who voluntarily underwent screening mammography between January 2007 and December 2011. Women who received the Breast Imaging Reporting and Data System for mammographic density of 3 or 4 were defined as having dense breasts. The proportion of women with dense breasts (PDB, %) was calculated by dividing the number of participants with dense breasts by the total number of participants.
RESULTS
Among the 231,058 women who participated, 78.15% were classified as having dense breasts. PDB was highest in the youngest age group (PDB=94.87%) and lowest in the oldest age group. The greatest difference in PDB between adjacent age groups was observed in the group aged 60-64 years.
CONCLUSIONS
The results show that the proportion of dense breasts by age group increased in all age groups, except in those aged 35-39 years. These findings suggest an association between the age distribution of dense breasts and trends in breast cancer incidence. Further studies are needed to estimate the change in breast cancer incidence rate by age and the accumulation of fatty breast tissue in Korean women.
Summary

Citations

Citations to this article as recorded by  
  • Development and validation of nomograms using photoacoustic imaging and 2D ultrasound to predict breast nodule benignity and malignancy
    Jing Chen, Zhibin Huang, Hui Luo, Guoqiu Li, Zhimin Ding, Hongtian Tian, Shuzhen Tang, Sijie Mo, Jinfeng Xu, Huaiyu Wu, Fajin Dong
    Postgraduate Medical Journal.2024; 100(1183): 309.     CrossRef
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    Yoosun Cho, Eun Kyung Park, Yoosoo Chang, Mi-ri Kwon, Eun Young Kim, Minjeong Kim, Boyoung Park, Sanghyup Lee, Han Eol Jeong, Ki Hwan Kim, Tae Soo Kim, Hyeonsoo Lee, Ria Kwon, Ga-Young Lim, JunHyeok Choi, Shin Ho Kook, Seungho Ryu
    Breast Cancer Research and Treatment.2024;[Epub]     CrossRef
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    Yujin Lee, Jie Ni, Julia Beretov, Valerie C. Wasinger, Peter Graham, Yong Li
    Molecular Cancer.2023;[Epub]     CrossRef
  • Comparison of ultrasound and mammography for early diagnosis of breast cancer among Chinese women with suspected breast lesions: A prospective trial
    Yingjiao Wang, Yuechong Li, Yu Song, Chang Chen, Zhe Wang, Linrong Li, Mohan Liu, Guanmo Liu, Yali Xu, Yidong Zhou, Qiang Sun, Songjie Shen
    Thoracic Cancer.2022; 13(22): 3145.     CrossRef
  • A multicenter, hospital-based and non-inferiority study for diagnostic efficacy of automated whole breast ultrasound for breast cancer in China
    Yujing Xin, Xinyuan Zhang, Yi Yang, Yi Chen, Yanan Wang, Xiang Zhou, Youlin Qiao
    Scientific Reports.2021;[Epub]     CrossRef
  • A deep learning-based automated diagnostic system for classifying mammographic lesions
    Takeshi Yamaguchi, Kenichi Inoue, Hiroko Tsunoda, Takayoshi Uematsu, Norimitsu Shinohara, Hirofumi Mukai
    Medicine.2020; 99(27): e20977.     CrossRef
  • The effect of sex hormones on normal breast tissue metabolism
    Yongsik Jung, Tae Hee Kim, Ji Young Kim, Sehwan Han, Young-Sil An
    Medicine.2019; 98(27): e16306.     CrossRef
  • Effect of Different Types of Mammography Equipment on Screening Outcomes: A Report by the Alliance for Breast Cancer Screening in Korea
    Bo Hwa Choi, Eun Hye Lee, Jae Kwan Jun, Keum Won Kim, Young Mi Park, Hye-Won Kim, You Me Kim, Dong Rock Shin, Hyo Soon Lim, Jeong Seon Park, Hye Jung Kim
    Korean Journal of Radiology.2019; 20(12): 1638.     CrossRef
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    Shinsuke Sasada, Norio Masumoto, Hang Song, Keiko Kajitani, Akiko Emi, Takayuki Kadoya
    Journal of Medical Imaging.2018; 5(02): 1.     CrossRef
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    Kui Son Choi, Minjoo Yoon, Seung Hoon Song, Mina Suh, Boyoung Park, Kyu Won Jung, Jae Kwan Jun
    Scientific Reports.2018;[Epub]     CrossRef
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    Noriaki Ohuchi, Akihiko Suzuki, Tomotaka Sobue, Masaaki Kawai, Seiichiro Yamamoto, Ying-Fang Zheng, Yoko Narikawa Shiono, Hiroshi Saito, Shinichi Kuriyama, Eriko Tohno, Tokiko Endo, Akira Fukao, Ichiro Tsuji, Takuhiro Yamaguchi, Yasuo Ohashi, Mamoru Fukud
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    Kunsei Lee, Hyeongsu Kim, Jung Hyun Lee, Hyoseon Jeong, Soon Ae Shin, Taehwa Han, Young Lan Seo, Youngbum Yoo, Sang Eun Nam, Jong Heon Park, Yoo Mi Park
    BMC Women's Health.2016;[Epub]     CrossRef
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    Jong-Myon Bae, Eun Hee Kim
    Journal of Preventive Medicine and Public Health.2016; 49(6): 367.     CrossRef

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