| Title: | Causal inference study to clarify the association between alcohol consumption, diabetes, cancer and cardiovascular disease paradox |
| Lead Institution: | Yonsei University |
| Principal investigator: | Professor Sun Ha Jee |
Application 66486
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About
The controversy over the association between alcohol consumption and cardiovascular disease is a researcher's concern and national concern. The best way to confirm causality is RCT(Randomised control trial). Still, it is challenging to implement as an ethical issue, and the Mendelian Randomization study is drawing attention as a new way to replace it. Through a large-scale Korean cohort (KCPS-II) collected for about a decade, the study plans to analyze epidemiologically, taking into account known risk factors for cardiovascular diseases, such as drinking, smoking, age, physical activity, blood pressure, cholesterol, and blood sugar. Of the approximately 150,000 people we have obtained blood samples, and consent forms, a genome-wide association study (GWAS) analysis will be conducted with the data of the subjects from which genetic data has been collected. Through this, we want to discover the genes associated with alcohol consumption. The KCPS-II is a large-scale Korean cohort that includes blood samples collected from 2004 to 2013 and various clinical and health information. According to the data, not only the prevalence at the time of blood collection but also the new disease and death data that have occurred since then by follow-up observations. It is possible to discover the disease risk factors and biomarkers and construct them a disease prediction model for Koreans. It is intended to construct a predictive model of cardiovascular disease using the fusion interaction of environmental factors, biomarkers, and genetic factors from epidemiological analysis of long-term collected cohort data. Today, precise medical techniques tailored to individuals are required, and the need for multidisciplinary research is increasing. The predicted models built through this process will be verified using UK Biobank data targeting the European population. Through UK biobank, which has large-scale genetic information, we expect cooperation and development on research methods to identify the relevance of disease via big data. The interaction of various genetic-environment factors determines the occurrence of cardiovascular disease. A wide range of surveys and tests involving various variables are needed, and genetic information is required to discover Korean specific genetic factors. Based on KCPS-II Biobank data meeting all these conditions, it is expected to play an essential role in evaluating the clinical usefulness of cardiovascular diseases as well as in the mechanism study of disease occurrence and the development of potential therapeutic materials.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 16263 | Alcohol consumption and cancer risk in South Korea and the UK: prospective cohort studies | Keum Ji Jung (+6) | 2025 | International Journal of Epidemiology |
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