Year: 2025
Type: article
Abstract: The skeletal system is vital to human health and is influenced by factors such as age and nutritional intake. Although existing studies have identified certain associations between dietary factors and orthopedic diseases, systematic analyses and theoretical perspectives remain insufficient. To address this, we present ONMR, the largest platform using Mendelian Randomization to investigate the impact of dietary intake on orthopedic disorders. By systematically integrating Genome-Wide Association Study (GWAS) data to provide over 100,000 analyses between 210 nutritional items and 503 bone-related phenotypes, ONMR provides a comprehensive framework for understanding the complex interactions between diet and skeletal health. This extensive analysis has elucidated the dual effects of dietary intake on bone health and their age-dependent characteristics. As a pivotal resource for interdisciplinary research spanning nutritional science and orthopedics, this platform could significantly contribute to the advancement of precision medicine in health management. The ONMR supports data querying, downloading, and personalized analysis, which can be accessed via a user-friendly website at https://onmr.ai-bio.net .
Source: npj Science of Food
Authors: Zikun Chen, Xuequan Hou, Binyu Chen, Yichen Cao, Xuanyi Yu, Tiantian Mao, Tianyi Qiu
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,790
Awards: G4270646596, G906612804
OpenAlex ID: W4413885947
