Obesity and risk for liver disease: a two-sample Mendelian randomisation study

The associations between obesity and liver diseases are complex and diverse. To explore the causal relationships between obesity and liver diseases, we applied two-sample Mendelian randomisation (MR) and multivariable MR analysis. The data of exposures (BMI and WHRadjBMI) and outcomes (liver diseases and liver function biomarker) were obtained from the open genome-wide association study database. A two-sample MR study revealed that the genetically predicted BMI and WHRadjBMI were associated with non-alcoholic fatty liver disease, liver fibrosis and autoimmune hepatitis. Obesity was not associated with primary biliary cholangitis, liver failure, liver cell carcinoma, viral hepatitis and secondary malignant neoplasm of liver. A higher WHRadjBMI was associated with higher levels of biomarkers of lipid accumulation and metabolic disorders. These findings indicated independent causal roles of obesity in non-alcoholic fatty liver disease, liver fibrosis and impaired liver metabolic function rather than in viral or autoimmune liver disease.

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Publication Details

Journal
British Journal Of Nutrition
Published
2024-11-06
DOI
https://doi.org/10.1017/s000711452400237x
Citations
1
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.39

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article

Obesity and risk for liver disease: a two-sample Mendelian randomisation study

Lingling He, Hao Bian, Herui Wei, Mengqi Li et al.
1 citations
British Journal Of Nutrition
Liver Disease Diagnosis and Treatment
0.39
article

Obesity and risk for liver disease: a two-sample Mendelian randomisation study

Lingling He, Hao Bian, Herui Wei, Mengqi Li, Fan Xiao, Zhe Yu, Wen An, Yuanpeng Mao, Aqian Song, Jing Luo
article en
1 citations

Abstract

The associations between obesity and liver diseases are complex and diverse. To explore the causal relationships between obesity and liver diseases, we applied two-sample Mendelian randomisation (MR) and multivariable MR analysis. The data of exposures (BMI and WHRadjBMI) and outcomes (liver diseases and liver function biomarker) were obtained from the open genome-wide association study database. A two-sample MR study revealed that the genetically predicted BMI and WHRadjBMI were associated with non-alcoholic fatty liver disease, liver fibrosis and autoimmune hepatitis. Obesity was not associated with primary biliary cholangitis, liver failure, liver cell carcinoma, viral hepatitis and secondary malignant neoplasm of liver. A higher WHRadjBMI was associated with higher levels of biomarkers of lipid accumulation and metabolic disorders. These findings indicated independent causal roles of obesity in non-alcoholic fatty liver disease, liver fibrosis and impaired liver metabolic function rather than in viral or autoimmune liver disease.

British Journal Of NutritionVol. 132(10)
Capital Medical University (CN), Peking University (CN), Beijing Institute of Neurosurgery (CN), Peking University People's Hospital (CN), National Institute for Communicable Disease Control and Prevention (CN), Beijing Ditan Hospital (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 32%
Liver Disease Diagnosis and Treatment
0.39
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Obesity and risk for liver disease: a two-sample Mendelian randomisation study — Lingling He, Hao Bian, et al. · British Journal Of Nutrition (2024) | TGRS Research Map | TGRS