Evidence map›Paper›PMID 33065985›Full record

ReviewNutrients2020

Genomics in Personalized Nutrition: Can You "Eat for Your Genes"?

Veronica A Mullins, William Bresette, Laurel Johnstone, Brian Hallmark, Floyd H Chilton

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 6 pooled it
11.2field-weighted citation impact, top 1% 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

67 citing papers in PubMed, 6 syntheses or guidelines pooled it, 131 citations in OpenAlex.

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7 more citing papers are in PubMed but not listed here.

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

5 authors at 1 institution in 1 country.

Veronica A MullinsDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85719, USA.
William BresetteDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85719, USA.ORCID 0000-0003-3360-0355
Laurel JohnstoneThe BIO5 Institute, University of Arizona, Tucson, AZ 85719, USA.
Brian HallmarkThe BIO5 Institute, University of Arizona, Tucson, AZ 85719, USA.
Floyd H ChiltonDepartment of Nutritional Sciences, University of Arizona, Tucson, AZ 85719, USA.
University of Arizona · US

Funding

Role of PUFA-Gene Interactions in Health DisparitiesR01AT008621 · NCCIH · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FLOYD H CHILTON, Susan Schembre · 2016 to 2026
$5.4M
NCCIH NIH HHS R01 AT008621NIH HHS R01 AT008621
6 · The paper itself

Abstract

Genome-wide single nucleotide polymorphism (SNP) data are now quickly and inexpensively acquired, raising the prospect of creating personalized dietary recommendations based on an individual's genetic variability at multiple SNPs. However, relatively little is known about most specific gene-diet interactions, and many molecular and clinical phenotypes of interest (e.g., body mass index [BMI]) involve multiple genes. In this review, we discuss direct to consumer genetic testing (DTC-GT) and the current potential for precision nutrition based on an individual's genetic data. We review important issues such as dietary exposure and genetic architecture addressing the concepts of penetrance, pleiotropy, epistasis, polygenicity, and epigenetics. More specifically, we discuss how they complicate using genotypic data to predict phenotypes as well as response to dietary interventions. Then, several examples (including caffeine sensitivity, alcohol dependence, non-alcoholic fatty liver disease, obesity/appetite, cardiovascular, Alzheimer's disease, folate metabolism, long-chain fatty acid biosynthesis, and vitamin D metabolism) are provided illustrating how genotypic information could be used to inform nutritional recommendations. We conclude by examining ethical considerations and practical applications for using genetic information to inform dietary choices and the future role genetics may play in adopting changes beyond population-wide healthy eating guidelines.

Indexed as

Diet, HealthyNutrigenomicsPrecision MedicineRecommended Dietary AllowancesEatingFemaleGenetic TestingHumansMaleNutritional Physiological PhenomenaPolymorphism, Single Nucleotidedietgeneticsnutrientsnutrigeneticsnutrigenomicspersonalizedprecision nutrition

Identifiers

PMID33065985
PMCPMC7599709
OpenAlexW3091834255

What Socratic 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 Socratic graph.