Evidence map›Paper›PMID 40400704›Full record

ArticleFrontiers in nutrition2025

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

Jae-Min Park, Ja-Eun Choi, Youhyun Song, Yu-Jin Kwon, Ji-Won Lee, Kyung-Won Hong

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jae-Min Park *Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, Republic of Korea.
Ja-Eun Choi *Advanced Institute of Technology, Theragen Health Co., Ltd., Seongnam, Republic of Korea.
Youhyun SongDepartment of Family Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yu-Jin KwonDepartment of Family Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Republic of Korea.
Ji-Won LeeDepartment of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Kyung-Won HongAdvanced Institute of Technology, Theragen Health Co., Ltd., Seongnam, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: A comprehensive understanding of gene-diet interactions is necessary to establish proper dietary guidelines for the prevention and management of type 2 diabetes mellitus (T2DM). We examined the roles of genetic variants and their interactions with T2DM-associated nutrients in a large-scale genome-wide association study of Korean adults. Methods: A total of 50,808 participants from a Korean genome and epidemiology study were included. Dietary intake was assessed using a food frequency questionnaire. Dietary nutrient intake was classified based on the Korean Dietary Reference Intakes (DRIs). Odds ratio (OR) and 95% confidence interval were calculated after adjusting for age, sex, exercise, smoking, alcohol consumption, total energy consumption, principal component 1, and principal component 2. Results: Among the individuals consuming vitamin A (retinol equivalent) above the DRI, the carriers of the melanotransferrin ( Discussion: Our results suggest that interactions between specific polymorphisms and certain nutrients may influence T2DM development.

Indexed as

gene–diet interactiongenome-wide association studynutrientsingle-nucleotide polymorphismtype 2 diabetes mellitus

Identifiers

PMID40400704
PMCPMC12092224

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.