Genome-wide approach to study gene–nutrient intake interactions in type 2 diabetes mellitus in a large Korean cohort

Our results suggest that interactions between specific polymorphisms and certain nutrients may influence T2DM development.

Authors

Institutions

Publication Details

Journal
Frontiers in Nutrition
Published
2025-05-07
DOI
https://doi.org/10.3389/fnut.2025.1538813
Citations
1
Primary Topic
Nutrition, Genetics, and Disease
Type
article
Field-Weighted Citation Impact
1.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome-wide approach to study gene–nutrient intake interactions in type 2 diabetes mellitus in a large Korean cohort

Yu‐Jin Kwon, Ja‐Eun Choi, Ji‐Won Lee, Youhyun Song et al.
1 citations
Frontiers in Nutrition
Nutrition, Genetics, and Disease
1.82
article

Genome-wide approach to study gene–nutrient intake interactions in type 2 diabetes mellitus in a large Korean cohort

Yu‐Jin Kwon, Ja‐Eun Choi, Ji‐Won Lee, Youhyun Song, Kyung‐Won Hong, Jae Min Park
article en
1 citations

Abstract

Our results suggest that interactions between specific polymorphisms and certain nutrients may influence T2DM development.

Frontiers in NutritionVol. 12
Yonsei University (KR), Eulji University (KR), Severance Hospital (KR), Theragen (KR), Gangnam Severance Hospital (KR)
National Research Foundation, Ministry of Agriculture, Food and Rural Affairs, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, Centers for Disease Control and Prevention
Openalex Percentile: Top 16%
Nutrition, Genetics, and Disease
1.82
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.