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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
  • 3,487 View
  • 145 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
Cohort Profile
Epidemiologic Questionnaire (EPI-Q) – a scalable, app-based health survey linked to electronic health record and genotype data
Maxwell Salvatore, Dylan Clark-Boucher, Lars G. Fritsche, Jacob Ortlieb, Janet Houghtby, Anisa Driscoll, Bryanne Caldwell-Larkins, Jennifer A. Smith, Chad M. Brummett, Sachin Kheterpal, Lynda Lisabeth, Bhramar Mukherjee
Epidemiol Health. 2023;45:e2023074.   Published online August 8, 2023
DOI: https://doi.org/10.4178/epih.e2023074
  • 1,810 View
  • 61 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
The Epidemiologic Questionnaire (EPI-Q) was established to collect broad, uniform, self-reported health data to supplement electronic health record (EHR) and genotype information from participants in the University of Michigan (UM) Precision Health cohorts. Recruitment of EPI-Q participants, who were already enrolled in 1 of 3 ongoing UM Precision Health cohorts—the Michigan Genomics Initiative, Mental Health Biobank, and Metabolism, Endocrinology, and Diabetes cohorts—began in March 2020. Of 54,043 retrospective invitations, 5,577 individuals enrolled, representing a 10.3% response rate. Of these, 3,502 (63.7%) were female, and the average age was 56.1 years (standard deviation, 15.4). The baseline survey comprises 11 modules on topics including personal and family health history, lifestyle, and cancer screening and history. Additionally, 11 optional modules cover topics including financial toxicity, occupational exposure, and life meaning. The questions are based on standardized and validated instruments used in other cohorts, and we share resources to expedite development of similar surveys. Data are collected via the MyDataHelps platform, which enables current and future participants to share non-Michigan Medicine EHR data. Recruitment is ongoing. Cohort data are available to those with institutional review board approval; for details, contact the Data Office for Clinical and Translational Research (DataOffice@umich.edu).
Summary
Key Message
The Epidemiologic Questionnaire (EPI-Q) is an app-based, scalable health survey that collects broad, self-reported data to augment an electronic health record-linked biobank – the Michigan Genomics Initiative. Of an initial 54,043 invitations (recruitment is ongoing), 5,577 participants enrolled (10.3% response rate) and were invited to complete 11 baseline modules (including personal and family health history, lifestyle, and cancer screening and history) and 11 optional modules (including financial toxicity, occupational exposure, and life meaning). Questions are based on standardized and validated instruments used in other cohort studies and documentation is shared publicly to accelerate development of similar surveys.
Perspectives
Interpretation of the hygiene and microflora hypothesis for allergic diseases through epigenetic epidemiology
Jong-Myon Bae
Epidemiol Health. 2018;40:e2018006.   Published online March 10, 2018
DOI: https://doi.org/10.4178/epih.e2018006
  • 12,843 View
  • 305 Download
  • 5 Web of Science
  • 8 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
The hygiene hypothesis (HH) proposed by Strachan in 1989 was expanded to explain the inverse association between the occurrence of allergy disorders and the risk of infectious diseases and parasite infestation. The microflora hypothesis (MH) suggests that gut microbial dysbiosis in early life might trigger hypersensitivity disorders. The sharing concept of both HH and MH is gene-environment interaction, which is also a key concept in epigenetics. The amalgamation of epidemiology and epigenetics has created a scientific discipline termed epigenetic epidemiology. To accomplish an era of gene-environment-wide interaction studies, it is necessary to launch a national human epigenome project.
Summary
Korean summary
1989년 제시된 위생가설 (Hygiene hypothesis)은 최근 체내미생물가설 (Microflora hypothesis) 대치되어 알레르기 질환의 발생기전을 해석하고 있다. 두 가설 모두 유전-환경 상호작용 gene-environment interaction) 을 강조하고 있다는 점에서 향후 후성유전역학 연구에 대한 활성화가 필요하다.

Citations

Citations to this article as recorded by  
  • Multicenter study of seasonal and regional airborne allergens in Chinese preschoolers with allergic rhinitis
    Zhifeng Huang, Aoli Li, Huiqing Zhu, Junxiu Pan, Jun Xiao, Jiang Wu, Yumin Han, Lili Zhong, Xuhui Sun, Lei Wang, Liang Hu, Cuihua Wang, Xingkai Ma, Zaixia Qiao, Min Zhang, Ling Yuan, Xin Liu, Jun Tang, Yue Li, Hong Yu, Zhaobing Zheng, Baoqing Sun
    Scientific Reports.2024;[Epub]     CrossRef
  • A Higher Incidence of Isolated Biliary Atresia in Rural Areas
    Mark Nomden, Daan B.E. van Wessel, Solomon Ioannou, Henkjan J. Verkade, Ruben H. de Kleine, Behrooz Z. Alizadeh, Janneke L.M. Bruggink, Jan B.F. Hulscher
    Journal of Pediatric Gastroenterology and Nutrition.2021; 72(2): 202.     CrossRef
  • Eradication of Helicobacter pylori and Gastric Cancer: A Controversial Relationship
    Mariagrazia Piscione, Mariangela Mazzone, Maria Carmela Di Marcantonio, Raffaella Muraro, Gabriella Mincione
    Frontiers in Microbiology.2021;[Epub]     CrossRef
  • Pathogenesis of Children’s Allergic Diseases: Refocusing the Role of the Gut Microbiota
    Tingting Hu, Yinmiao Dong, Chenghao Yang, Mingyi Zhao, Qingnan He
    Frontiers in Physiology.2021;[Epub]     CrossRef
  • Pilot study of the SCFA Headspace Analysis of Streptococcus mutans Metabolites in Media with and without Polyols
    Goudarzi S Habibi, B Kabat, M Cannon, M Gashkoff, R Zurek
    Edelweiss Journal of Biomedical Research and Review.2020; : 24.     CrossRef
  • Blockade of enhancer of zeste homolog 2 alleviates renal injury associated with hyperuricemia
    Yingfeng Shi, Liuqing Xu, Min Tao, Lu Fang, Jiasun Lu, Hongwei Gu, Shuchen Ma, Tao Lin, Yi Wang, Wenfang Bao, Andong Qiu, Shougang Zhuang, Na Liu
    American Journal of Physiology-Renal Physiology.2019; 316(3): F488.     CrossRef
  • Researches of Epigenetic Epidemiology for Infections and Radiation as Carcinogen
    Jong-Myon Bae
    Journal of Preventive Medicine and Public Health.2018; 51(4): 169.     CrossRef
  • Necessity of Epigenetic Epidemiology Studies on the Carcinogenesis of Lung Cancer in Never Smokers
    Jong-Myon Bae
    Journal of Preventive Medicine and Public Health.2018; 51(5): 263.     CrossRef
National human genome projects: an update and an agenda
Joon Yong An
Epidemiol Health. 2017;39:e2017045.   Published online October 16, 2017
DOI: https://doi.org/10.4178/epih.e2017045
  • 13,932 View
  • 264 Download
  • 8 Web of Science
  • 8 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
Population genetic and human genetic studies are being accelerated with genome technology and data sharing. Accordingly, in the past 10 years, several countries have initiated genetic research using genome technology and identified the genetic architecture of the ethnic groups living in the corresponding country or suggested the genetic foundation of a social phenomenon. Genetic research has been conducted from epidemiological studies that previously described the health or disease conditions in defined population. This perspective summarizes national genome projects conducted in the past 10 years and introduces case studies to utilize genomic data in genetic research.
Summary
Korean summary
지난 10년동안, 유전체 해독 기술의 발전과 유전학 데이터 공유로 인해 인간 유전학에 대한 연구가 활발히 진행되고 있다. 이에 따라, 세계의 몇몇 국가들이 국가 단위의 유전체 연구를 시작했으며, 의생물학 연구 및 해당 국가의 거주민의 유전적 조성을 연구하고 있다. 해당 리뷰에서는 국가 단위의 유전체 연구를 소개함으로써, 향후 우리나라에서 진행할 국가 단위의 유전체 연구에 대한 방향을 제시한다.

Citations

Citations to this article as recorded by  
  • The future of cystic fibrosis care: a global perspective
    Scott C Bell, Marcus A Mall, Hector Gutierrez, Milan Macek, Susan Madge, Jane C Davies, Pierre-Régis Burgel, Elizabeth Tullis, Claudio Castaños, Carlo Castellani, Catherine A Byrnes, Fiona Cathcart, Sanjay H Chotirmall, Rebecca Cosgriff, Irmgard Eichler,
    The Lancet Respiratory Medicine.2020; 8(1): 65.     CrossRef
  • Willingness to participate in genome testing: a survey of public attitudes from Qatar
    Hanan F. Abdul Rahim, Said I. Ismail, Amel Hassan, Tasnim Fadl, Salma M. Khaled, Bethany Shockley, Catherine Nasrallah, Yara Qutteina, Engi Elmaghraby, Heba Yasin, Dima Darwish, Khalid A. Fakhro, Radja Badji, Wadha Al-Muftah, Nahla Afifi, Asmaa Althani
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    Giovanna Elisa Calabrò, Michele Sassano, Alessia Tognetto, Stefania Boccia
    Frontiers in Genetics.2020;[Epub]     CrossRef
  • Opportunities and Challenges for Molecular Understanding of Ciliopathies–The 100,000 Genomes Project
    Gabrielle Wheway, Hannah M. Mitchison
    Frontiers in Genetics.2019;[Epub]     CrossRef
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    Gregory Kucherov, Jonathan Wren
    Bioinformatics.2019; 35(19): 3547.     CrossRef
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    Zohreh Fattahi, Maryam Beheshtian, Marzieh Mohseni, Hossein Poustchi, Erin Sellars, Sayyed Hossein Nezhadi, Amir Amini, Sanaz Arzhangi, Khadijeh Jalalvand, Peyman Jamali, Zahra Mohammadi, Behzad Davarnia, Pooneh Nikuei, Morteza Oladnabi, Akbar Mohammadzad
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    Sridhar Sivasubbu, Vinod Scaria
    Human Genomics.2019;[Epub]     CrossRef
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    Jong-Myon Bae
    Epidemiology and Health.2018; 40: e2018006.     CrossRef
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