Evidence map›Paper›PMID 42620725›Full record

ArticleFrontiers in nutrition2026

Gene-diet interaction between

Ying-Hsiang Chou, Yeu-Sheng Tyan, Shih-Tsung Chang, Oswald Ndi Nfor, Wen-Yu Lu, Yi-Ching Liaw, Yung-Po Liaw

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ying-Hsiang ChouDepartment of Radiation Oncology, Chung Shan Medical University Hospital, Taichung, Taiwan.
Yeu-Sheng TyanSchool of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Shih-Tsung ChangDepartment of Radiation Oncology, Chung Shan Medical University Hospital, Taichung, Taiwan.
Oswald Ndi NforDepartment of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan.
Wen-Yu LuDepartment of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan.
Yi-Ching LiawDepartment of Public Health and Institute of Public Health, Chung Shan Medical University, Taichung, Taiwan.
Yung-Po LiawDepartment of Medical Imaging, Chung Shan Medical University Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Precision nutrition seeks genotype-informed dietary guidance. We examined the associations of Methods: We analyzed 9,263 adults from the Taiwan Biobank with rs3764261 genotype data and available HDL-C measurements. Rs3764261 genotypes were obtained from whole-genome genotyping using the TWBv2.0 Affymetrix SNP array, with quality control based on Hardy-Weinberg equilibrium, minor allele frequency, and call-rate thresholds. Vegetarian diet status was defined using questionnaire data (being vegetarian throughout the day for >6 months). Associations were evaluated using multiple linear regression models, adjusting for relevant covariates and testing the rs3764261 × vegetarian-diet interaction. Results: A total of 9,263 adults were included, comprising 8,330 non-vegetarians and 933 vegetarians. Vegetarians had significantly lower mean HDL-C than non-vegetarians (53.190 vs. 56.031 mg/dL, Conclusion: Rs3764261 modified the association between vegetarian diet status and HDL-C levels, supporting evidence for gene-diet interactions in precision nutrition approaches to lipid risk management.

Indexed as

CETP rs3764261gene–diet interactionHDL-Cprecision nutritionvegetarian diet

Identifiers

PMID42620725
PMCPMC13485775

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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.