Evidence map›Paper›PMID 37217678›Full record

ArticleMolecular psychiatry2023

Genetic predisposition to macronutrient preference and workplace food choices.

Jordi Merino, Hassan S Dashti, Douglas E Levy, Magdalena Del Rocío Sevilla-González, Marie-France Hivert, Bianca C Porneala, Richa Saxena, Anne N Thorndike

Open access · greenAbstract read
In one paragraph

Article in Molecular psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

8 authors at 3 institutions in 2 countries.

Jordi MerinoCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. jmerino@mgh.harvard.edu.ORCID 0000-0001-8312-1438
Hassan S DashtiCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0002-1650-679X
Douglas E LevyDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Magdalena Del Rocío Sevilla-GonzálezBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Marie-France HivertDiabetes Unit, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0001-7752-2585
Bianca C PornealaDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Richa SaxenaCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-2233-1065
Anne N ThorndikeDepartment of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. ATHORNDIKE@mgh.harvard.edu.
Broad Institute · USHarvard University · USMassachusetts General Hospital · US

Funding

Harvard Clinical and Translational Science CenterUL1TR001102 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$106.2M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
Clinical Center for NIH's Nutrition for Precision Health: The All Of Us New England Research CollaborativeUG1HD107691 · NICHD · TUFTS UNIVERSITY BOSTON · PI Sai Krupa Das, Hamed Khalili · 2022 to 2026
$11.5M
Promoting Employee Health Through The Worksite Food EnvironmentR01HL125486 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI THORNDIKE, ANNE N · 2015 to 2019
$4.0M
Genetics of chronotype and impact on metabolic diseaseR01DK107859 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Richa Saxena · 2016 to 2026
$4.0M
Melatonin and Receptor Gene Variant: Linking Circadian System and Type 2 DiabetesR01DK102696 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2015 to 2019
$3.8M
Impact of Malatonin, Food Timing and Receptor Variant on Type 2 Diabetes RiskR01DK105072 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI SAXENA, RICHA, SCHEER, FRANK A · 2016 to 2020
$3.2M
Psychological, cognitive, and genetic factors in a behavioral intervention to prevent weight gainR01DK114735 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI THORNDIKE, ANNE N · 2017 to 2019
$1.7M
NCATS NIH HHS UL1 TR001102NHLBI NIH HHS R01 HL125486NICHD NIH HHS UG1 HD107691NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R01 DK102696NIDDK NIH HHS R01 DK105072NIDDK NIH HHS R01 DK107859NIDDK NIH HHS R01 DK114735
6 · The paper itself

Abstract

Prior research identified genetic variants influencing macronutrient preference, but whether genetic differences underlying nutrient preference affect long-term food choices is unknown. Here we examined the associations of polygenic scores for carbohydrate, fat, and protein preference with 12 months' workplace food purchases among 397 hospital employees from the ChooseWell 365 study. Food purchases were obtained retrospectively from the hospital's cafeteria sales data for the 12 months before participants were enrolled in the ChooseWell 365 study. Traffic light labels, visible to employees when making purchases, measured the quality of workplace purchases. During the 12-month study period, there were 215,692 cafeteria purchases. Each SD increase in the polygenic score for carbohydrate preference was associated with 2.3 additional purchases/month (95%CI, 0.2 to 4.3; p = 0.03) and a higher number of green-labeled purchases (β = 1.9, 95%CI, 0.5-3.3; p = 0.01). These associations were consistent in subgroup and sensitivity analyses accounting for additional sources of bias. There was no evidence of associations between fat and protein polygenic scores and cafeteria purchases. Findings from this study suggest that genetic differences in carbohydrate preference could influence long-term workplace food purchases and may inform follow-up experiments to enhance our understanding of the molecular mechanisms underlying food choice behavior.

Indexed as

Food PreferencesGenetic Predisposition to DiseaseCarbohydratesHumansNutrientsRetrospective StudiesWorkplaceCarbohydratesNutrients

Identifiers

PMID37217678
PMCPMC13360443
OpenAlexW4377564570

What OpenQuestion holds

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Registered trials

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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.