Mendelian randomization analysis identifies inverse causal relationship between external eating and metabolic phenotypes

Article

Timasheva, Y., Balkhiyarova, Z., Avzaletdinova, D., Morugova, T., Korytina, G., Nouwen, A., Prokopenko, I. and Kochetova, O. 2024. Mendelian randomization analysis identifies inverse causal relationship between external eating and metabolic phenotypes. Nutrients. 16 (8). https://doi.org/10.3390/nu16081166
TypeArticle
TitleMendelian randomization analysis identifies inverse causal relationship between external eating and metabolic phenotypes
AuthorsTimasheva, Y., Balkhiyarova, Z., Avzaletdinova, D., Morugova, T., Korytina, G., Nouwen, A., Prokopenko, I. and Kochetova, O.
Abstract

Disordered eating contributes to weight gain, obesity, and type 2 diabetes (T2D), but the precise mechanisms underlying the development of different eating patterns and connecting them to specific metabolic phenotypes remain unclear. We aimed to identify genetic variants linked to eating behaviour and investigate its causal relationships with metabolic traits using Mendelian randomization (MR). We tested associations between 30 genetic variants and eating patterns in individuals with T2D from the Volga-Ural region and investigated causal relationships between variants associated with eating patterns and various metabolic and anthropometric traits using data from the Volga-Ural population and large international consortia. We detected associations between HTR1D and CDKAL1 and external eating; between HTR2A and emotional eating; between HTR2A, NPY2R, HTR1F, HTR3A, HTR2C, CXCR2, and T2D. Further analyses in a separate group revealed significant associations between metabolic syndrome (MetS) and the loci in CRP, ADCY3, GHRL, CDKAL1, BDNF, CHRM4, CHRM1, HTR3A, and AKT1 genes. MR results demonstrated an inverse causal relationship between external eating and glycated haemoglobin levels in the Volga-Ural sample. External eating influenced anthropometric traits such as body mass index, height, hip circumference, waist circumference, and weight in GWAS cohorts. Our findings suggest that eating patterns impact both anthropometric and metabolic traits.

KeywordsEating Behaviour; Mendelian Randomization; Debq; Genetic Predictors; Humans ; Diabetes Mellitus, Type 2; tRNA Methyltransferases; Body Mass Index; Feeding Behavior; Phenotype; Polymorphism, Single Nucleotide; Adult; Middle Aged; Female; Male; Ghrelin; Genetic Variation; Waist Circumference; Genome-Wide Association Study; Mendelian Randomization Analysis; Adenylyl Cyclases; Metabolic Syndrome; Glycated Hemoglobin
Sustainable Development Goals3 Good health and well-being
Middlesex University ThemeHealth & Wellbeing
PublisherMDPI AG
JournalNutrients
ISSN
Electronic2072-6643
Publication dates
Online13 Apr 2024
Print13 Apr 2024
Publication process dates
Submitted22 Feb 2024
Accepted11 Apr 2024
Deposited11 Jul 2024
Output statusPublished
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Open
Copyright Statement

© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Digital Object Identifier (DOI)https://doi.org/10.3390/nu16081166
PubMed ID38674857
PubMed Central IDPMC11054043
National Library of Medicine ID101521595
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