Evidence map›Paper›PMID 40652030›Full record

ArticleCommunications biology2025

Intricate interactions between fine-scale genetic structure, lifestyle, and dietary habits in the Japanese population.

Yichi Chen, Kotoe Katayama, Sachiko Ishida, Seiya Imoto

Abstract read
In one paragraph

Article in Communications biology, 2025. 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

4 authors.

Yichi ChenDivision of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Minato-ku, Tokyo, Japan.
Kotoe KatayamaLaboratory of Sequence Analysis, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Minato-ku, Tokyo, Japan.
Sachiko IshidaDeNA Life Science, Inc., Shibuya-ku, Tokyo, Japan.
Seiya ImotoDivision of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Minato-ku, Tokyo, Japan. imoto@ims.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-2989-308X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fine-scale genetic structure within populations, focusing on demographic histories and migration patterns, has been explored previously. However, limited attention has been paid to understanding how genetic structure influences lifestyle and dietary habits within an epidemiological framework. This study explores the fine-scale genetic structure within a homogeneous Japanese population using advanced unsupervised learning techniques-Principal Component Analysis (PCA), Uniform Manifold Approximation and Projection (UMAP), and Density-Based Spatial Clustering of Applications with Noise (DBSCAN)-coupled with direct-to-consumer genetic testing data. We investigate the associated genetic factors and examine the relationship between the genetic structure and geographic ancestry. Additionally, using cross-sectional data and multinomial logistic regression, we further elucidate the nuanced impacts of lifestyle and dietary factors across genetic clusters, emphasizing the importance of integrating genetic data with epidemiological research. This study introduces a new framework for genetic epidemiology that considers both genetic and environmental influences.

Indexed as

DietEast Asian PeopleGenetics, PopulationLife StyleAdultAgedCross-Sectional StudiesFemaleHumansJapanMaleMiddle AgedPrincipal Component Analysis

Identifiers

PMID40652030
PMCPMC12255722

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.