Evidence map›Paper›PMID 31190057›Full record

ArticleThe American journal of clinical nutrition2019

Genome-wide association study of breakfast skipping links clock regulation with food timing.

Hassan S Dashti, Jordi Merino, Jacqueline M Lane, Yanwei Song, Caren E Smith, Toshiko Tanaka, Nicola M McKeown, Chandler Tucker, Dianjianyi Sun, Traci M Bartz and 17 more

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
4.7field-weighted citation impact, top 5% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Emerging genetics of sleep and circadian disorders.Current opinion in pediatrics · 2026
    Article
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  19. The role of hepatokines in NAFLD.Cell metabolism · 2023
    Review
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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

27 authors at 15 institutions in 5 countries.

Hassan S DashtiCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Jordi MerinoCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Jacqueline M LaneCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Yanwei SongCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Caren E SmithNutrition and Genomics.
Toshiko TanakaTranslational Gerontology Branch, National Institute on Aging, Baltimore, MD.
Nicola M McKeownNutritional Epidemiology Program, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA.
Chandler TuckerCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Dianjianyi SunDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Traci M BartzCardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA.
Ruifang Li-GaoDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
Hoirun NisaDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Sirimon ReutrakulDivision of Endocrinology, Diabetes, and Metabolism, Department of Medicine, University of Illinois at Chicago, Chicago, IL.
Rozenn N LemaitreCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
Tahani M AlshehriDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
Renée de MutsertDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
Lydia BazzanoDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA.
Kristen L KnutsonCenter for Circadian and Sleep Medicine, Department of Neurology, Northwestern University, Chicago, IL.
Bruce M PsatyCardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA.
Dennis O Mook-KanamoriDepartment of Clinical Epidemiology, Leiden University Medical Center, Leiden, Netherlands.
Vesna Boraska PericaDepartment for Medical Biology, University of Split School of Medicine, Split, Croatia.
Marian L NeuhouserCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA.
Frank A J L ScheerProgram in Medical and Population Genetics, Broad Institute, Cambridge, MA.
Martin K RutterDivision of Endocrinology, Diabetes, and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, United Kingdom.
Marta GarauletDepartment of Physiology, University of Murcia, Murcia, Spain.
Richa SaxenaCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Broad Institute · USLeiden University Medical Center · NLTulane University · USUniversity of Washington · USFred Hutch Cancer Center · USGenomics (United Kingdom) · GBInstituto Murciano de Investigación Biosanitaria · ESKaiser Permanente Washington Health Research Institute · USManchester Academic Health Science Centre · GBMassachusetts General Hospital · USNational Institute on Aging · USNorthwestern University · USTufts University · USUniversity of Illinois Chicago · USUniversity of Split · HR

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Peter Todd Katzmarzyk · 2012 to 2026
$69.1M
ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI ALEXANDER A SOUKAS · 1994 to 2026
$31.6M
CHARGE Consortium: Omics Discovery for CVD and Aging PhenotypesR01HL105756 · NHLBI · UNIVERSITY OF WASHINGTON · PI Bruce M Psaty, NICHOLAS L SMITH · 2011 to 2026
$9.5M
Rare variants and NHLBI traits in deeply phenotyped cohortsR01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2014 to 2016
$8.9M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
Rare variants and NHLBI traits in deeply phenotyped cohortsU01HL120393 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M, RICE, KENNETH M. · 2017 to 2018
$5.6M
Leveraging Family Data to Identify Genetic Variants for Sleep ApneaR01HL113338 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LIN, XIHONG, REDLINE, SUSAN S. · 2012 to 2016
$4.4M
The Aging Genome Association Study "AGE-GAIN"ZIAAG000965 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$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
Meal Time Effects on Metabolic Health.R01DK099512 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHEER, FRANK A · 2014 to 2017
$2.8M
NHLBI NIH HHS K01 HL136884NHLBI NIH HHS R01 HL094806NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL113338NHLBI NIH HHS R01 HL118601NHLBI NIH HHS R01 HL120393NHLBI NIH HHS U01 HL120393NHLBI NIH HHS U01 HL130114NIDDK NIH HHS P30 DK040561NIDDK NIH HHS R01 DK099512NIDDK NIH HHS R01 DK102696NIDDK NIH HHS R01 DK105072NIDDK NIH HHS R01 DK107859NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundLittle is known about the contribution of genetic variation to food timing, and breakfast has been determined to exhibit the most heritable meal timing. As breakfast timing and skipping are not routinely measured in large cohort studies, alternative approaches include analyses of correlated traits.

objectivesThe aim of this study was to elucidate breakfast skipping genetic variants through a proxy-phenotype genome-wide association study (GWAS) for breakfast cereal skipping, a commonly assessed correlated trait.

methodsWe leveraged the statistical power of the UK Biobank (n = 193,860) to identify genetic variants related to breakfast cereal skipping as a proxy-phenotype for breakfast skipping and applied several in silico approaches to investigate mechanistic functions and links to traits/diseases. Next, we attempted validation of our approach in smaller breakfast skipping GWAS from the TwinUK (n = 2,006) and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium (n = 11,963).

resultsIn the UK Biobank, we identified 6 independent GWAS variants, including those implicated for caffeine (ARID3B/CYP1A1), carbohydrate metabolism (FGF21), schizophrenia (ZNF804A), and encoding enzymes important for N6-methyladenosine RNA transmethylation (METTL4, YWHAB, and YTHDF3), which regulates the pace of the circadian clock. Expression of identified genes was enriched in the cerebellum. Genome-wide correlation analyses indicated positive correlations with anthropometric traits. Through Mendelian randomization (MR), we observed causal links between genetically determined breakfast skipping and higher body mass index, more depressive symptoms, and smoking. In bidirectional MR, we demonstrated a causal link between being an evening person and skipping breakfast, but not vice versa. We observed association of our signals in an independent breakfast skipping GWAS in another British cohort (P = 0.032), TwinUK, but not in a meta-analysis of non-British cohorts from the CHARGE consortium (P = 0.095).

conclusionsOur proxy-phenotype GWAS identified 6 genetic variants for breakfast skipping, linking clock regulation with food timing and suggesting a possible beneficial role of regular breakfast intake as part of a healthy lifestyle.

Indexed as

BreakfastGenetic VariationGenome-Wide Association StudyBiological ClocksFeeding BehaviorGene Expression RegulationGenotypeHumansTime FactorsUnited Kingdombreakfastchronobiologycircadian clockfood timingGWAS

Identifiers

PMID31190057
PMCPMC6669061
OpenAlexW2949609164

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.