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Genomics in Personalized Nutrition

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrigenetics and Nutrigenomics".

Deadline for manuscript submissions: closed (25 December 2023) | Viewed by 1491

Special Issue Editor


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Guest Editor
Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
Interests: sensory nutrition; causal modelling; personalized nutrition; chemosensory perception

Special Issue Information

Dear Colleagues,

Genomics plays a critical role in personalized nutrition by providing insights into an individual's genetic makeup that can influence their nutritional needs and responses to different dietary interventions. Personal information of age, gender, health status, family history, and environmental exposures, together with genetics, predicts solutions for diet and lifestyle change, leading to personlized diet and lifestyle advice with cost-effecive health benefits.

This Special Issue aims to showcase the cutting-edge research at the forefornt of genomics in personalized nutrition, including the use of genomic data to develop perosnalized dietary recommendations, the impact of genetics on the response to dietary interventions, and the use of personalized nutrition for disease prevention and management.

We are seeking high-quality papers that present innovative approaches, rigorous study designs, and novel findings/insights. We envision that this Special Issue will inform evidence-based personalized nutrition advice, with promising approaches for improving health outcomes. 

Dr. Liang-Dar Hwang
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Nutrients is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • personalized nutrition
  • genomics
  • genetics
  • diet
  • lifestyle
  • intervention
  • gene-environment interaction

Published Papers (1 paper)

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Research

14 pages, 2244 KiB  
Article
New Insights into Polygenic Score–Lifestyle Interactions for Cardiometabolic Risk Factors from Genome-Wide Interaction Analyses
by Shannon D’Urso and Liang-Dar Hwang
Nutrients 2023, 15(22), 4815; https://doi.org/10.3390/nu15224815 - 17 Nov 2023
Viewed by 1217
Abstract
The relationship between lifestyles and cardiometabolic outcomes varies between individuals. In 382,275 UK Biobank Europeans, we investigate how lifestyles interact with polygenic scores (PGS) of cardiometabolic risk factors. We identify six interactions (PGS for body mass index with meat diet, physical activity, sedentary [...] Read more.
The relationship between lifestyles and cardiometabolic outcomes varies between individuals. In 382,275 UK Biobank Europeans, we investigate how lifestyles interact with polygenic scores (PGS) of cardiometabolic risk factors. We identify six interactions (PGS for body mass index with meat diet, physical activity, sedentary behaviour and insomnia; PGS for high-density lipoprotein cholesterol with sedentary behaviour; PGS for triglycerides with meat diet) in multivariable linear regression models including an interaction term and show stronger associations between lifestyles and cardiometabolic risk factors among individuals with high PGSs than those with low PGSs. Genome-wide interaction analyses pinpoint three genetic variants (FTO rs72805613 for BMI; CETP rs56228609 for high-density lipoprotein cholesterol; TRIB2 rs4336630 for triglycerides; PInteraction < 5 × 10−8). The associations between lifestyles and cardiometabolic risk factors differ between individuals grouped by the genotype of these variants, with the degree of differences being similar to that between individuals with high and low values for the corresponding PGSs. This study demonstrates that associations between lifestyles and cardiometabolic risk factors can differ between individuals based upon their genetic profiles. It further suggests that genetic variants with interaction effects contribute more to such differences compared to those without interaction effects, which has potential implications for developing PGSs for personalised intervention. Full article
(This article belongs to the Special Issue Genomics in Personalized Nutrition)
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