High Polygenic Risk Scores Positively Associated with Gastric Cancer Risk Interact with Coffee and Polyphenol Intake and Smoking Status in Korean Adults

High PRSs and <i>SEMA3C</i>_rs1527482 interact with immune function, coffee intake, polyphenol consumption, and smoking status to influence GC risk. These findings could contribute to developing personalized nutrition and lifestyle interventions to reduce GC risk.

Authors

Institutions

Publication Details

Journal
Nutrients
Published
2024-09-27
DOI
https://doi.org/10.3390/nu16193263
Citations
2
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
1.10
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High Polygenic Risk Scores Positively Associated with Gastric Cancer Risk Interact with Coffee and Polyphenol Intake and Smoking Status in Korean Adults

Sunmin Park, Meiling Liu, Sang-Shin Song
2 citations
Nutrients
Nutrition, Genetics, and Disease
1.10
article

High Polygenic Risk Scores Positively Associated with Gastric Cancer Risk Interact with Coffee and Polyphenol Intake and Smoking Status in Korean Adults

Sunmin Park, Meiling Liu, Sang-Shin Song
article en
2 citations

Abstract

High PRSs and <i>SEMA3C</i>_rs1527482 interact with immune function, coffee intake, polyphenol consumption, and smoking status to influence GC risk. These findings could contribute to developing personalized nutrition and lifestyle interventions to reduce GC risk.

NutrientsVol. 16(19)
Hoseo University (KR)
Good health and well-being
Openalex Percentile: Top 19%
Nutrition, Genetics, and Disease
1.10
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.