Evidence map›Paper›PMID 39275336›Full record

ArticleNutrients2024

A Novel Interaction between a 23-SNP Genetic Risk Score and Monounsaturated Fatty Acid Intake on HbA1c Levels in Southeast Asian Women.

Padmini Sekar, Arif S Aji, Utami Ariyasra, Sri R Sari, Nabila Tasrif, Finny F Yani, Julie A Lovegrove, Ikhwan R Sudji, Nur I Lipoeto, Karani S Vimaleswaran

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
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.

Padmini SekarHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK.
Arif S AjiDepartment of Nutrition, Faculty of Health Sciences, Alma Ata University, Bantul, Yogyakarta 55183, Indonesia.ORCID 0000-0001-6952-0010
Utami AriyasraDepartment of Biomedical Science, Faculty of Medicine, Andalas University, Padang 25163, Indonesia.ORCID 0000-0002-6863-3598
Sri R SariDepartment of Biomedical Science, Faculty of Medicine, Andalas University, Padang 25163, Indonesia.
Nabila TasrifCulinary Study Program, Faculty of Tourism and Hospitality, Universitas Negeri Padang, Padang 25163, Indonesia.ORCID 0000-0002-7723-365X
Finny F YaniDepartment of Child Health, Faculty of Medicine, Andalas University, Padang 25163, Indonesia.ORCID 0000-0002-4515-6530
Julie A LovegroveHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK.ORCID 0000-0001-7633-9455
Ikhwan R SudjiBiomedical Laboratory, Faculty of Medicine, Andalas University, Padang 25163, Indonesia.
Nur I LipoetoDepartment of Nutrition, Faculty of Medicine, Andalas University, Padang 25163, Indonesia.ORCID 0000-0003-4119-3593
Karani S VimaleswaranHugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences, Institute for Cardiovascular and Metabolic Research (ICMR), University of Reading, Reading RG6 6DZ, UK.ORCID 0000-0002-8485-8930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic diseases result from interactions between genetic and lifestyle factors. Understanding the combined influences of single-nucleotide polymorphisms (SNPs) and lifestyle is crucial. This study employs genetic risk scores (GRS) to assess SNPs, providing insight beyond single gene/SNP studies by revealing synergistic effects. Here, we aim to investigate the association of a 23-SNP GRS with metabolic disease-related traits (obesity and type 2 diabetes) to understand if these associations are altered by lifestyle/dietary factors. For this study, 106 Minangkabau women were included and underwent physical, anthropometric, biochemical, dietary and genetic evaluations. The interaction of GRS with lifestyle factors was analyzed using linear regression models, adjusting for potential confounders. No statistically significant associations were observed between GRS and metabolic traits; however, this study demonstrates a novel interaction observed between 13-SNP GRS and monounsaturated fatty acid (MUFA) intake, and that it had an effect on HbA1c levels (

Indexed as

Diabetes Mellitus, Type 2Fatty Acids, MonounsaturatedGenetic Predisposition to DiseaseGlycated HemoglobinAdultDietFemaleGenetic Risk ScoreHumansIndonesiaLife StyleMiddle AgedObesityPolymorphism, Single NucleotideSoutheast Asian PeopleFatty Acids, MonounsaturatedGlycated Hemoglobinhemoglobin A1c protein, humangene–diet interactiongenetic risk scoreIndonesiametabolic diseasesMinangkabau womensingle nucleotide polymorphism

Identifiers

PMID39275336
PMCPMC11397529

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.