Evidence map›Paper›PMID 36774228›Full record

ArticleThe Journal of nutrition2023

Bitter- and Umami-Related Genes are Differentially Associated with Food Group Intakes: the Framingham Heart Study.

Julie E Gervis, Jiantao Ma, Kenneth K H Chui, Nicola M McKeown, Daniel Levy, Alice H Lichtenstein

Open access · greenAbstract read
In one paragraph

Article in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Julie E GervisCardiovascular Nutrition Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA. Electronic address: Julie.Gervis@tufts.edu.
Jiantao MaNutritional Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA. Electronic address: Jiantao.Ma@tufts.edu.
Kenneth K H ChuiDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA. Electronic address: Kenneth.Chui@tufts.edu.
Nicola M McKeownDepartment of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA. Electronic address: nmckeown@bu.edu.
Daniel LevyPopulation Sciences Branch, National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MD, USA; Boston University and National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, MA, USA. Electronic address: levyd@nhlbi.nih.gov.
Alice H LichtensteinCardiovascular Nutrition Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA. Electronic address: Alice.Lichtenstein@tufts.edu.
Tufts University · USBoston University · USNational Heart Lung and Blood Institute · US

Funding

Framingham Project/LevyZIAHL006001 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI LEVY, DANIEL · 2009 to 2025
$51.1M
6 · The paper itself

Abstract

backgroundAs suboptimal diet quality remains the leading modifiable contributor to chronic disease risk, it is important to better understand the individual-level drivers of food choices. Recently, a genetic component of food choices was proposed based on variants (SNPs) in genes related to taste perception (taste-related SNPs).

objectivesThis study aimed to determine the cumulative contribution of taste-related SNPs for basic tastes (bitter, sweet, umami, salt, and sour), summarized as "polygenic taste scores," to food group intakes among adults.

methodsCross-sectional analyses were performed on 6230 Framingham Heart Study participants (mean age ± SD: 50 ± 14 y; 54% female). Polygenic taste scores were derived for tastes with ≥2 related SNPs identified in prior genome-wide association studies, and food group intakes (servings per week [sev/wk]) were tabulated from food frequency questionnaires. Associations were determined via linear mixed-effects models, using false discovery rates and bootstrap resampling to determine statistical significance.

resultsThirty-three taste-related SNPs (9 bitter, 19 sweet, 2 umami, 2 sour, 1 salt) were identified and used to derive polygenic taste scores for bitter, sweet, umami, and sour. Per additional allele for higher bitter perception, whole grain intakes were lower by 0.17 (95% CI: -0.28, -0.06) sev/wk, and for higher umami perception, total and red/orange vegetable intakes were lower by 0.73 (95% CI: -1.12, -0.34) and 0.25 (95% CI: -0.40, -0.10) sev/wk, respectively. Subsequent analyses at the SNP level identified four novel SNP-diet associations-two bitter-related SNPs with whole grains (rs10960174 and rs6782149) and one umami-related SNP with total and red/orange vegetables (rs7691456)-which may have been driving the identified associations.

conclusionsTaste-related genes for bitter and umami were differentially associated with food choices that may impact diet quality. Hence, a benefit could be derived from leveraging knowledge of taste-related genes when developing personalized risk reduction dietary guidance.

Indexed as

Genome-Wide Association StudyTasteAdultCross-Sectional StudiesFemaleFood PreferencesHumansMaleTaste Perceptiondietary intakefood groupsgenetic risk scorespersonalized nutritiontaste perception

Identifiers

PMID36774228
PMCPMC10196583
OpenAlexW4313547676

What OpenQuestion holds

Textmetadata
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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.