Evidence map›Paper›PMID 42415714›Full record

ArticleNutrition and metabolic insights2026

Diet-Genetic Interactions in Type 2 Diabetes: Comparing Polygenic Risk in Rice- and Wheat-Consuming Populations.

Shahla Naran Chirakkal, Ananthakrishnan Anilkumar Indu, Ranajit Das

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In one paragraph

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

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

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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

3 authors.

Shahla Naran ChirakkalCentre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, Karnataka, India.
Ananthakrishnan Anilkumar InduCentre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, Karnataka, India.ORCID https://orcid.org/0009-0004-4158-7407
Ranajit DasCentre for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, Karnataka, India.ORCID https://orcid.org/0000-0001-5308-3477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rice and wheat are the 2 dominant global cereal staples, differing substantially in starch composition and glycaemic impact. Polished rice is typically rich in amylopectin, promoting rapid postprandial glucose responses, whereas wheat-based foods contain relatively more amylose and fibre, resulting in slower digestion. While diet is a key determinant of type 2 diabetes (T2D), it remains unclear whether long-term exposure to contrasting staple diets is associated with differences in inherited genetic susceptibility at the population level. Methods: We applied a population genomics approach to compare polygenic risk scores (PRS) for T2D between historically rice- and wheat-dominant populations. GWAS summary statistics from the IEU OpenGWAS resource were used to derive SNP weights, and genotype data from GenomeAsia 100K and HumanOrigins datasets were analysed. PRS were computed using PRSice, and group differences were assessed using Welch's 2-sample Results: At the global scale, rice-based populations exhibited significantly higher and more dispersed PRS distributions than wheat-based populations, with strong statistical support ( Conclusions: These findings support a gene-diet coevolutionary framework in which long-term staple carbohydrate environments may influence the distribution of genetic susceptibility to T2D. The results emphasise the importance of carbohydrate quality in metabolic health and highlight the need for culturally and regionally tailored dietary strategies. However, PRS should not be used for individual-level clinical prediction, particularly across diverse ancestries.

Indexed as

gene–diet interactionglycaemic loadpolygenic risk score (PRS)population genomicsrice versus wheat diettype 2 diabetes

Identifiers

PMID42415714
PMCPMC13338541

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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 Socratic graph.