Evidence map›Paper›PMID 33045981›Full record

ArticleGenes & nutrition2020

Interaction between the genetic risk score and dietary protein intake on cardiometabolic traits in Southeast Asian.

Sooad Alsulami, A S Aji, U Ariyasra, S R Sari, N Tasrif, F F Yani, J A Lovegrove, I R Sudji, N I Lipoeto, K S Vimaleswaran

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In one paragraph

Article in Genes & nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
–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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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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

10 authors.

Sooad AlsulamiDepartment of Clinical Nutrition, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
A S AjiPostgraduate Department of Biomedical Science, Faculty of Medicine, Andalas University, Padang, West Sumatra, Indonesia.
U AriyasraPostgraduate Department of Biomedical Science, Faculty of Medicine, Andalas University, Padang, West Sumatra, Indonesia.
S R SariPostgraduate Department of Biomedical Science, Faculty of Medicine, Andalas University, Padang, West Sumatra, Indonesia.
N TasrifPublic Health Department, Faculty of Medicine, Andalas University, Padang, Indonesia.
F F YaniDepartment of Child Health, Faculty of Medicine, Andalas University, Padang, Indonesia.
J A LovegroveHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, PO Box 226, Whiteknights, Reading, RG6 6AP, UK.
I R SudjiBiomedical Laboratory, Faculty of Medicine, Andalas University, Padang, Indonesia.
N I LipoetoDepartment of Nutrition, Faculty of Medicine, Andalas University, Padang, Indonesia.
K S VimaleswaranHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, University of Reading, PO Box 226, Whiteknights, Reading, RG6 6AP, UK. v.karani@reading.ac.uk.ORCID http://orcid.org/0000-0002-8485-8930

Funding

Newton Fund 2016-RLTG7-10215
6 · The paper itself

Abstract

backgroundCardiometabolic diseases are complex traits which are influenced by several single nucleotide polymorphisms (SNPs). Thus, analysing the combined effects of multiple gene variants might provide a better understanding of disease risk than using a single gene variant approach. Furthermore, studies have found that the effect of SNPs on cardiometabolic traits can be influenced by lifestyle factors, highlighting the importance of analysing gene-lifestyle interactions.

aimsIn the present study, we investigated the association of 15 gene variants with cardiometabolic traits and examined whether these associations were modified by lifestyle factors such as dietary intake and physical activity.

methodsThe study included 110 Minangkabau women [aged 25-60 years and body mass index (BMI) 25.13 ± 4.2 kg/m

resultsThere was a significant association between GRS and BMI, where individuals carrying 6 or more risk alleles had higher BMI compared to those carrying 5 or less risk alleles (P = 0.018). Furthermore, there were significant interactions of GRS with protein intake on waist circumference (WC) and triglyceride concentrations (P

conclusionsOur study confirmed the association of GRS with higher BMI and further showed a significant effect of the GRS on WC and triglyceride levels through the influence of a low-protein diet. These findings suggest that following a lower protein diet, particularly in genetically predisposed individuals, might be an effective approach for addressing cardiometabolic diseases among Southeast Asian women.

Indexed as

BMIGRSIndonesianInteractionTriglycerideWC

Identifiers

PMID33045981
PMCPMC7552350

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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.