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Dataset Information

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


ABSTRACT:

Background

Calorie 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.

Methods

In 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.

SUBMITTER: Zhang K 

PROVIDER: S-EPMC12361008 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature