» Articles » PMID: 30577445

A Guide to Applying the Sex-Gender Perspective to Nutritional Genomics

Overview
Journal Nutrients
Date 2018 Dec 23
PMID 30577445
Citations 24
Authors
Affiliations
Soon will be listed here.
Abstract

Precision nutrition aims to make dietary recommendations of a more personalized nature possible, to optimize the prevention or delay of a disease and to improve health. Therefore, the characteristics (including sex) of an individual have to be taken into account as well as a series of omics markers. The results of nutritional genomics studies are crucial to generate the evidence needed so that precision nutrition can be applied. Although sex is one of the fundamental variables for making recommendations, at present, the nutritional genomics studies undertaken have not analyzed, systematically and with a gender perspective, the heterogeneity/homogeneity in gene-diet interactions on the different phenotypes studied, thus there is little information available on this issue and needs to be improved. Here we argue for the need to incorporate the gender perspective in nutritional genomics studies, present the general context, analyze the differences between sex and gender, as well as the limitations to measuring them and to detecting specific sex-gene or sex-phenotype associations, both at the specific gene level or in genome-wide-association studies. We analyzed the main sex-specific gene-diet interactions published to date and their main limitations and present guidelines with recommendations to be followed when undertaking new nutritional genomics studies incorporating the gender perspective.

Citing Articles

Long-Term Dietary Consumption of Grapes Alters Phenotypic Expression in Skeletal Muscle of Aged Male and Female Mice.

Dave A, Park E, Piya S, Pezzuto J Foods. 2025; 14(4).

PMID: 40002138 PMC: 11854663. DOI: 10.3390/foods14040695.


Factors influencing the intention of young adults to adopt genotype-based personalised advice on diet and physical activity according to perceived weight status.

King A, Glaister M, Lawrence K, Pilic L, Mavrommatis Y J Nutr Sci. 2024; 13:e54.

PMID: 39469190 PMC: 11514639. DOI: 10.1017/jns.2024.50.


Obesity and Nutrigenetics Testing: New Insights.

Duarte M, Leite-Lais L, Agnez-Lima L, Maciel B, de Araujo Morais A Nutrients. 2024; 16(5).

PMID: 38474735 PMC: 10934888. DOI: 10.3390/nu16050607.


Female Athlete Triad and Relative Energy Deficiency in Sport (REDs): Nutritional Management.

Grabia M, Perkowski J, Socha K, Markiewicz-Zukowska R Nutrients. 2024; 16(3).

PMID: 38337644 PMC: 10857508. DOI: 10.3390/nu16030359.


Guidelines on the use of sex and gender in cardiovascular research.

Usselman C, Lindsey M, Robinson A, Habecker B, Taylor C, Merryman W Am J Physiol Heart Circ Physiol. 2023; 326(1):H238-H255.

PMID: 37999647 PMC: 11219057. DOI: 10.1152/ajpheart.00535.2023.


References
1.
Randall J, Winkler T, Kutalik Z, Berndt S, Jackson A, Monda K . Sex-stratified genome-wide association studies including 270,000 individuals show sexual dimorphism in genetic loci for anthropometric traits. PLoS Genet. 2013; 9(6):e1003500. PMC: 3674993. DOI: 10.1371/journal.pgen.1003500. View

2.
Teslovich T, Musunuru K, Smith A, Edmondson A, Stylianou I, Koseki M . Biological, clinical and population relevance of 95 loci for blood lipids. Nature. 2010; 466(7307):707-13. PMC: 3039276. DOI: 10.1038/nature09270. View

3.
Corella D, Coltell O, Sorli J, Estruch R, Quiles L, Martinez-Gonzalez M . Polymorphism of the Transcription Factor 7-Like 2 Gene (TCF7L2) Interacts with Obesity on Type-2 Diabetes in the PREDIMED Study Emphasizing the Heterogeneity of Genetic Variants in Type-2 Diabetes Risk Prediction: Time for Obesity-Specific Genetic.... Nutrients. 2016; 8(12). PMC: 5188448. DOI: 10.3390/nu8120793. View

4.
Ordovas J, Corella D, Cupples L, Demissie S, Kelleher A, Coltell O . Polyunsaturated fatty acids modulate the effects of the APOA1 G-A polymorphism on HDL-cholesterol concentrations in a sex-specific manner: the Framingham Study. Am J Clin Nutr. 2002; 75(1):38-46. DOI: 10.1093/ajcn/75.1.38. View

5.
Shen J, Wang T, Yang W . Regulatory and evolutionary signatures of sex-biased genes on both the X chromosome and the autosomes. Biol Sex Differ. 2017; 8(1):35. PMC: 5668987. DOI: 10.1186/s13293-017-0156-4. View