Evidence map›Paper›PMID 32230794›Full record

ReviewGenes2020

Genes and Eating Preferences, Their Roles in Personalized Nutrition.

Anna Vesnina, Alexander Prosekov, Oksana Kozlova, Victor Atuchin

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 4 pooled it
6.3field-weighted citation impact, top 3% of its field
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

17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 65 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. AI-Based Drug Discovery and Design for Different Genetic Designs.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Article
  9. Article
  10. Eating Behavior and Obesity in a Sample of Spanish Schoolchildren.International journal of environmental research and public health · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Tackling Atherosclerosis via Selected Nutrition.International journal of molecular sciences · 2022
    Review
  16. Making a case for genomics in chiropractic education.The Journal of chiropractic education · 2022
    Article
  17. Article
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

4 authors at 2 institutions in 1 country.

Anna VesninaDepartment of Bionanotechnology, Kemerovo State University, 650043 Kemerovo, Russia.
Alexander ProsekovLaboratory of Biocatalysis, Kemerovo State University, 650043 Kemerovo, Russia.
Oksana KozlovaDepartment of Bionanotechnology, Kemerovo State University, 650043 Kemerovo, Russia.
Victor AtuchinLaboratory of Optical Materials and Structures, Institute of Semiconductor Physics, 630090 Novosibirsk, Russia.ORCID 0000-0002-7424-5604
Kemerovo State University · RUNovosibirsk State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, personalized diets, which take into account consumer genetic characteristics, are growing popular. Nutrigenetics studies the effect of gene variations on metabolism and nutrigenomics, which branches off further and investigates how nutrients and food compounds affect genes. This work deals with the mutations affecting the assimilation of metabolites, contributing to nutrigenetic studies. We searched for the genes responsible for eating preferences which allow for the tailoring of personalized diets. Presently, genetic nutrition is growing in demand, as it contributes to the prevention and/or rehabilitation of non-communicable diseases, both monogenic and polygenic. In this work, we showed single-nucleotide polymorphisms in genes-missense mutations that change the functions of coded proteins, resulting in a particular eating preferences or a disease. We studied the genes influencing food preferences-particularly those responsible for fats and carbohydrates absorption, food intolerance, metabolism of vitamins, taste sensations, oxidation of xenobiotics, eating preferences and food addiction. As a result, 34 genes were identified that affect eating preferences. Significant shortcomings were found in the methods/programs for developing personalized diets that are used today, and the weaknesses were revealed in the development of nutrigenetics (inconsistency of data on SNP genes, ignoring population genetics data, difficult information to understand consumer, etc.). Taking into account all the shortcomings, an approximate model was proposed in the review for selecting an appropriate personalized diet. In the future, it is planned to develop the proposed model for the compilation of individual diets.

Indexed as

DietFood PreferencesGenesNutrigenomicsNutritional Physiological PhenomenaPolymorphism, Single NucleotidePrecision MedicineHumansNutrition TherapyPharmacogeneticseating preferencesfunctional productgenotypenutrigeneticspersonalized nutritionpolymorphism

Identifiers

PMID32230794
PMCPMC7230842
OpenAlexW3013830391

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.