Current status and prospects of the application of Mendelian randomization in pancreatic cancer research

Kaihao DU; Lizhao HOU; Lanminghui LUO; Xiaoge DONG; Wei JIANG; Zhan WANG

doi:10.12449/JCH241033

Volume 40 Issue 10

Oct. 2024

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Article Navigation > Journal of Clinical Hepatology > 2024 > 40(10): 2127-2136

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Current status and prospects of the application of Mendelian randomization in pancreatic cancer research

DOI: 10.12449/JCH241033

1.
Clinical Medical College，Qinghai University，Xining 810000，China
2a.
Department of General Surgery，The Affiliated Hospital of Qinghai University，Xining 810000，China
2b.
Department of Medical Engineering Integration and Translational Application，The Affiliated Hospital of Qinghai University，Xining 810000，China

Research funding:

National Natural Science Foundation of China (82160131);

Qinghai Provincial Department of Science and Technology Project (2021-ZJ-963Q)

More Information

Corresponding author: WANG Zhan， ufofu01@163.com （ORCID： 0000-0002-4225-8136）
Received Date: 2024-01-21
Accepted Date: 2024-04-19
Published Date: 2024-10-25

Abstract

Abstract

Pancreatic cancer often has an insidious onset and difficulties in treatment， with various limitations in early diagnosis and treatment. This article reviews the application of Mendelian randomization （MR） in exploring the risk factors for pancreatic cancer， with a special focus on the causal relationships of factors such as gut microbiota， lifestyle， and metabolic diseases. Leveraging data from large-scale genome-wide association studies （GWAS）， MR analysis has revealed several biomarkers associated with the risk of pancreatic cancer. The two-sample MR approach is commonly used in current research， including the methods such as Inverse Variance Weighted， Weighted Median， and MR-Egger， which helps to explain the causal network of the disease from a genetic perspective. While MR strategy provides a new perspective for understanding the etiology of pancreatic cancer， caution is still needed in data synthesis， selection of instrumental variables， and pleiotropy assessment. The use of emerging analytical models such as BWMR， CAUSE， and MVMR offers new possibilities for the comprehensive evaluation of multiple risk factors and their interaction. In the future， with the combination of these methods and the ever-increasing genetic epidemiological data， MR analysis is expected to provide more solid evidence for identifying potential therapeutic targets for pancreatic cancer and formulating prevention strategies.
- Pancreatic Neoplasms,
- Mendelian Randomization Analysis,
- Causality

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References(93)

References

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Current status and prospects of the application of Mendelian randomization in pancreatic cancer research

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