Evidence map›Paper›PMID 24548145›Full record

ArticleChronobiology international2014

CRY1 circadian gene variant interacts with carbohydrate intake for insulin resistance in two independent populations: Mediterranean and North American.

Hassan S Dashti, Caren E Smith, Yu-Chi Lee, Laurence D Parnell, Chao-Qiang Lai, Donna K Arnett, José M Ordovás, Marta Garaulet

Registry-linked trialAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Chronobiology international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02829619 (Meal Timing, Genetics and Weight Loss in a Mediterranean Population), which is not on this map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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.

NCT02829619 recruitingnot on this map

Meal Timing, Genetics and Weight Loss in a Mediterranean Population

TypeobservationalSponsorUniversidad de MurciaRan2008 to 2032Enrolled5,788ConditionsObesity
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Targeting Cryptochromes in Chronic Diseases.Cell biology international · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Chrono-Nutrition: Circadian Rhythm and Personalized Nutrition.International journal of molecular sciences · 2023
    Review
  17. Article
  18. Review
  19. Article
  20. 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

8 authors at 5 institutions in 2 countries.

Hassan S DashtiNutrition and Genomics Laboratory, Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University , Boston, MA , USA .
Caren E Smith
Yu-Chi Lee
Laurence D Parnell
Chao-Qiang Lai
Donna K Arnett
José M Ordovás
Marta Garaulet
United States Department of Agriculture · USTufts University · USJean Mayer Human Nutrition Research Center on Aging · USUniversidad de Murcia · ESUniversity of Alabama at Birmingham · US

Funding

Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
STATISTICSP50HL105185 · NHLBI · UNIVERSITY OF MASSACHUSETTS LOWELL · PI ORDOVAS, JOSE M. · 2010 to 2015
$10.4M
Center for Research/Nutrition &Health among the ElderlyP01AG023394 · NIA · TUFTS UNIVERSITY BOSTON · PI TUCKER, KATHERINE L · 2003 to 2007
$8.1M
Genomewide Association Study of Lipid Response to Fenofibrate and Dietary FatR01HL091357 · NHLBI · UNIVERSITY OF KENTUCKY · PI ARNETT, DONNA K · 2008 to 2018
$5.8M
GENE/DIET EFFECTS ON PLASMA LIPOPROTEIN LEVELSR01HL054776 · NHLBI · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 1996 to 2010
$2.6M
PAT PROTEINS: GENE-DIET INTERACTIONS OBESITY RISK AND HEALTHR01DK075030 · NIDDK · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 2007 to 2009
$989k
Genetic predictors of metabolic responses to dairyK08HL112845 · NHLBI · TUFTS UNIVERSITY BOSTON · PI SMITH, CAREN ELIZABETH · 2013 to 2017
$474k
NHLBI NIH HHS HL-54776NHLBI NIH HHS K08 HL112845NHLBI NIH HHS P50 HL105185NHLBI NIH HHS R01 HL054776NHLBI NIH HHS R01 HL091357NHLBI NIH HHS U01 HL072524NIA NIH HHS P01 AG023394NIDDK NIH HHS DK075030NIDDK NIH HHS R01 DK075030NIMHD NIH HHS L60 MD003562
6 · The paper itself

Abstract

Dysregulation in the circadian system induced by variants of clock genes has been associated with type 2 diabetes. Evidence for the role of cryptochromes, core components of the system, in regulating glucose homeostasis is not supported by CRY1 candidate gene association studies for diabetes and insulin resistance in human, suggesting possible dietary influences. The purpose of this study was to test for interactions between a CRY1 polymorphism, rs2287161, and carbohydrate intake on insulin resistance in two independent populations: a Mediterranean (n = 728) and an European origin North American population (n = 820). Linear regression interaction models were performed in two populations to test for gene-diet interactions on fasting insulin and glucose and two insulin-related traits, homeostasis model assessment of insulin resistance (HOMA-IR) and quantitative insulin sensitivity check index (QUICKI). In addition, fixed effects meta-analyses for these interactions were performed. Cohort-specific interaction analyses showed significant interactions between the CRY1 variant and dietary carbohydrates for insulin resistance in both populations (p < 0.05). Findings from the meta-analyses of carbohydrate-single nucleotide polymorphism interactions indicated that an increase in carbohydrate intake (% of energy intake) was associated with a significant increase in HOMA-IR (p = 0.011), fasting insulin (p = 0.007) and a decrease in QUICKI (p = 0.028), only among individuals homozygous for the minor C allele. This novel finding supports the link between the circadian system and glucose metabolism and suggests the importance this CRY1 locus in developing personalized nutrition programs aimed at reducing insulin resistance and diabetes risk.

Indexed as

Polymorphism, Single NucleotideAdultAlabamaBiomarkersBlood GlucoseCircadian RhythmCryptochromesDietDietary CarbohydratesFemaleGene-Environment InteractionGenetic Predisposition to DiseaseHumansInsulinInsulin ResistanceLinear ModelsBiomarkersBlood GlucoseCRY1 protein, humanCryptochromesDietary CarbohydratesInsulinCarbohydrate intakeCRY1diabetesgene–diet interactiongenetic epidemiology

Identifiers

PMID24548145
PMCPMC4041822
OpenAlexW2105404682

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.