Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization

This study found a significant association between type 2 diabetes and EBV VCA IgG levels, emphasizing the potential relationship between EBV infection and diabetes. Machine learning and Mendelian randomization methods played an important role in determining disease associations, which provides new ideas for future clinical management and prevention strategies.

Authors

Publication Details

Journal
Clinical Laboratory
Published
2025-01-01
DOI
https://doi.org/10.7754/clin.lab.2025.250137
Citations
1
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
1.82
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article

Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization

Qifang Bi, Bei Jiang, Ning Song, Fengyan Liu et al.
1 citations
Clinical Laboratory
Genetic Associations and Epidemiology
1.82
article

Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization

Qifang Bi, Bei Jiang, Ning Song, Fengyan Liu, Long Zhao
article en
1 citations

Abstract

This study found a significant association between type 2 diabetes and EBV VCA IgG levels, emphasizing the potential relationship between EBV infection and diabetes. Machine learning and Mendelian randomization methods played an important role in determining disease associations, which provides new ideas for future clinical management and prevention strategies.

Clinical LaboratoryVol. 71(05/2025)
Openalex Percentile: Top 16%
Genetic Associations and Epidemiology
1.82
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Investigating the Link between Type 2 Diabetes and Epstein-Barr Virus: a Machine Learning and Mendelian Randomization — Qifang Bi, Bei Jiang, et al. · Clinical Laboratory (2025) | TGRS Research Map | TGRS