Evidence map›Paper›PMID 40825912›Full record

ArticleDiscover oncology2025

Mendelian randomization identifies genetically predicted calorie dietary preference as causal risk factors for cancer.

Kaiyuan Zhang, Jiaheng Lou, Jianbo Huang, Xiaochen Ni, Chuhang Wang, Jianing Guo, Wei Fan, Yuanlin Lv, Guangji Zhang, Tao Jiang

Abstract read
In one paragraph

Article in Discover oncology, 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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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kaiyuan Zhang *School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Jiaheng Lou *School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Jianbo Huang *School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Xiaochen NiSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Chuhang WangSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Jianing GuoSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Wei FanSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China.
Yuanlin LvSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China. lvyuanlin99@163.com.
Guangji ZhangSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China. zgjtcm@zcmu.edu.cn.
Tao JiangSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, Zhejiang, China. jttcm@zcmu.edu.cn.

Funding

Co-construction Key Project between the Department of Science and Technology (National Administration of Traditional Chinese Medicine) and Zhejiang Provincial Administration of Traditional Chinese Medicine GZY-ZJ-KJ-23094Key Program of National Natural Science Foundation of China 82030119Key Program of Zhejiang Provincial Natural Science Foundation LZ24H270002Key Support Project of NSFC Joint Fund for Regional Innovation and Development U23A20499National Science Foundation for Young Scholars of Zhejiang LQ23H270013Youth Program of National Natural Science Foundation of China 82204950Youth Program of Zhejiang Provincial Natural Science Foundation LQ23H270013
6 · The paper itself

Abstract

backgroundCalorie preference refers to an individual's systematic inclination toward selecting foods based on their caloric density. The causal impact of dietary calorie preference on cancer development remains uncertain.

methodsIn this study, data on dietary calorie preference were sourced from a large-scale genome-wide association study (GWAS) database of food liking, while information on 18 cancer types was obtained from Finger R9 database. Two-sample Mendelian randomization (MR) analysis was conducted to assess the causal effects of Calorie Dietary Liking on 18 types of cancers. The inverse variance weighting (IVW) method was the primary analytical approach, with significant correlations further examined using Egger regression, MR-PRESSO, and weighted median methods.

resultsOur analyses revealed that a genetically predicted preference for high-calorie diets significantly raised the risk of non-Hodgkin lymphoma (NHL) (OR = 1.75, 95% CI 1.175 to 2.598), non-small cell lung cancer (NSCLC) (OR = 1.39, 95% CI 1.147 to 1.693), hepatocellular carcinoma (HCC) (OR = 2.06, 95% CI 1.097 to 3.866), and gastric cancer (GC) (OR = 1.47, 95% CI 1.087 to 1.991). Further subgroup analyses confirmed that high-calorie foods liking, particularly cheese liking, were strongly linked to an elevated HCC risk (OR = 2.43, 95% CI 1.509 to 3.899), while deep-fried food liking were associated with increased NSCLC risk (OR = 1.26, 95% CI 1.073 to 1.490). Low-calorie dietary liking showed causal association with the risk of prostate cancer (PCa) (OR = 0.85, 95% CI 0.745 to 0.965).

conclusionThis comprehensive MR analysis suggested that genetically predicted high-calorie food liking, as well as its subgroups, may be a risk factor in the development of NHL, NSCLC, HCC, and GC. A low-calorie diet may have a protective effect on the risk of PCa.

Indexed as

Calorie dietary preferenceCancerMendelian randomization

Identifiers

PMID40825912
PMCPMC12361008

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.