Evidence map›Paper›PMID 40038169›Full record

ArticleCancer causes & control : CCC2025

Causal relationships between body composition and hematological malignancies: a multivariable mendelian randomization analysis.

Shan Liu, Yaobin Lin, Zhihong Wang

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Article in Cancer causes & control : CCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 authors.

Shan LiuDepartment of Hematology-Oncology, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital, Fuzhou, Fujian, China.
Yaobin LinDepartment of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors (Fujian Medical University), Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), FuzhouFujian, 350001, China. yaobinlin@aliyun.com.
Zhihong WangDepartment of Hematology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, China. zhihongwang1980@126.com.

Funding

Fujian Children's Hospital Cultivation Project YP202401Fujian Province Natural Science Foundation 2022J011061Joint Funds for the Innovation of Science and Technology, Fujian Province 2020Y9027Medical Double-high project of Fujian province ETK2022002Subsidy Funds for Medical Double-high project of Fujian Province ETK2022009
6 · The paper itself

Abstract

backgroundThe relationship between body composition and hematological malignancies is poorly understood. Using mendelian randomization (MR) analysis, this study aimed to assess the genetic associations between body composition and hematological malignancies.

methodsData from the UK Biobank Genome-Wide Association Studies database, which includes approximately 500,000 participants aged 40-69 years, were utilized. Multivariable MR analysis and the inverse-variance weighted (IVW) method were employed to assess the causal link between exposures and outcomes. Sensitivity analyses were performed to evaluate the heterogeneity and pleiotropy of the instrumental variables.

resultsThe univariable MR analysis revealed that specific body composition parameters, including arm fat-free mass (left and right), trunk-predicted mass, whole-body fat-free mass, and whole-body water mass, were associated with an increased leukemia risk. Arm fat-free mass (right) and fat mass (left and right); leg fat-free mass (left and right) and fat mass (left and right); trunk fat-free mass, fat mass, and predicted mass; and whole-body fat-free mass, fat mass, and water mass were associated with an increased lymphoma risk. However, no causal relationship was observed between body composition parameters and multiple myeloma. In the multivariable MR analysis, height [odds ratio (OR) = 1.004, p = 0.040] was identified as an independent risk factor for lymphoma, while the waist-to-hip ratio (OR = 1.003, p = 0.004) increased the risk of multiple myeloma.

conclusionHeight increases the risk of lymphoma, while the waist-to-hip ratio is a risk factor for multiple myeloma. These findings offer further evidence supporting a causal relationship between body composition and hematological malignancies.

Indexed as

Body CompositionHematologic NeoplasmsAdultAgedFemaleGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk FactorsBody compositionCausal relationshipHematological malignancyMendelian randomization

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