Evidence map›Paper›PMID 24646652›Full record

ArticleBMJ (Clinical research ed.)2014

Fried food consumption, genetic risk, and body mass index: gene-diet interaction analysis in three US cohort studies.

Qibin Qi, Audrey Y Chu, Jae H Kang, Jinyan Huang, Lynda M Rose, Majken K Jensen, Liming Liang, Gary C Curhan, Louis R Pasquale, Janey L Wiggs and 11 more

Registry-linked trialAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03348566 (Fish and Marine Fatty Acids, Genetic Signatures of Diet Adaptation, and Long-term Weight Change), which is not on this map. Cited by 146 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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.

NCT03348566 completednot on this mapstarted 2015, after this paper: background citation

Fish and Marine Fatty Acids, Genetic Signatures of Diet Adaptation, and Long-term Weight Change

TypeobservationalSponsorHarvard School of Public Health (HSPH)Ran2015 to 2016Enrolled22,000ConditionsObesityArmsfish
3 · Its place in the literature

Who cites it

146 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Qibin QiDepartment of Nutrition, Harvard School of Public Health, Boston, MA, USA.
Audrey Y Chu
Jae H Kang
Jinyan Huang
Lynda M Rose
Majken K Jensen
Liming Liang
Gary C Curhan
Louis R Pasquale
Janey L Wiggs
Immaculata De Vivo
Andrew T Chan
Hyon K Choi
Rulla M Tamimi
Paul M Ridker
David J Hunter
Walter C Willett
Eric B Rimm
Daniel I Chasman
Frank B Hu
Lu Qi

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Women's Health Study: Continued Follow-upR01CA047988 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 1991 to 2014
$28.2M
Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
Molecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
Sleep Duration, Childhood Energy Balance, and Insulin Resistance in AdolescenceU54CA155626 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI ROSNER, BERNARD A · 2011 to 2015
$9.6M
The Pathobiology of NephrolithiasisP01DK070756 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI CURHAN, GARY C. · 2007 to 2011
$8.4M
Gene-Environment Interactions in GlaucomaR01EY015473 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI PASQUALE, LOUIS ROBERT · 2005 to 2021
$8.3M
BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
Variability in Adipokine Genes and AtherosclerosisR01HL073168 · NHLBI · JOSLIN DIABETES CENTER · PI DORIA, ALESSANDRO · 2003 to 2012
$5.8M
NCI NIH HHS CA047988NCI NIH HHS CA055075NCI NIH HHS CA134958NCI NIH HHS CA49449NCI NIH HHS CA87969NCI NIH HHS U01 CA137088NCI NIH HHS U01CA137088NCI NIH HHS U54CA155626NEI NIH HHS EY015473NEI NIH HHS R01 EY015473NHGRI NIH HHS U01HG004399NHGRI NIH HHS U01 HG004728NHGRI NIH HHS U01HG004728NHLBI NIH HHS HL043851NHLBI NIH HHS HL071981NHLBI NIH HHS HL073168NHLBI NIH HHS HL080467NHLBI NIH HHS HL088521NHLBI NIH HHS HL34594NIDDK NIH HHS DK080140NIDDK NIH HHS DK091718NIDDK NIH HHS DK098311NIDDK NIH HHS DK46200NIDDK NIH HHS DK58845NIDDK NIH HHS DK70756NIDDK NIH HHS P30 DK046200NIDDK NIH HHS P30DK46200NIDDK NIH HHS R01 DK091718
6 · The paper itself

Abstract

objectiveTo examine the interactions between genetic predisposition and consumption of fried food in relation to body mass index (BMI) and obesity.

designProspective cohort study.

settingHealth professionals in the United States.

participants9623 women from the Nurses' Health Study, 6379 men from the Health Professionals Follow-up Study, and a replication cohort of 21,421 women from the Women's Genome Health Study.

main outcome measureRepeated measurement of BMI over follow-up.

resultsThere was an interaction between fried food consumption and a genetic risk score based on 32 BMI-associated variants on BMI in both the Nurses' Health Study and Health Professionals Follow-up Study (P ≤ 0.001 for interaction). Among participants in the highest third of the genetic risk score, the differences in BMI between individuals who consumed fried foods four or more times a week and those who consumed fried foods less than once a week amounted to 1.0 (SE 0.2) in women and 0.7 (SE 0.2) in men, whereas the corresponding differences were 0.5 (SE 0.2) and 0.4 (SE 0.2) in the lowest third of the genetic risk score. The gene-diet interaction was replicated in the Women's Genome Health Study (P<0.001 for interaction). Viewed differently, the genetic association with adiposity was strengthened with higher consumption of fried foods. In the combined three cohorts, the differences in BMI per 10 risk alleles were 1.1 (SE 0.2), 1.6 (SE 0.3), and 2.2 (SE 0.6) for fried food consumption less than once, one to three times, and four or more times a week (P<0.001 for interaction); and the odds ratios (95% confidence intervals) for obesity per 10 risk alleles were 1.61 (1.40 to 1.87), 2.12 (1.73 to 2.59), and 2.72 (2.12 to 3.48) across the three categories of consumption (P=0.002 for interaction). In addition, the variants in or near genes highly expressed or known to act in the central nervous system showed significant interactions with fried food consumption, with the FTO (fat mass and obesity associated) variant showing the strongest result (P<0.001 for interaction).

conclusionOur findings suggest that consumption of fried food could interact with genetic background in relation to obesity, highlighting the particular importance of reducing fried food consumption in individuals genetically predisposed to obesity.

Indexed as

Body Mass IndexCookingAdultAgedAllelesCohort StudiesDietFemaleGene-Environment InteractionGenetic Predisposition to DiseaseGenotyping TechniquesHumansMaleMiddle AgedObesityProspective Studies

Identifiers

PMID24646652
PMCPMC3959253

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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.