Evidence map›Paper›PMID 23935507›Full record

SynthesisPLoS genetics2013

Gene × physical activity interactions in obesity: combined analysis of 111,421 individuals of European ancestry.

Shafqat Ahmad, Gull Rukh, Tibor V Varga, Ashfaq Ali, Azra Kurbasic, Dmitry Shungin, Ulrika Ericson, Robert W Koivula, Audrey Y Chu, Lynda M Rose and 38 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 4 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.

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

120 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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

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

48 authors.

Shafqat AhmadGenetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital, Lund University, Malmö, Sweden.
Gull Rukh
Tibor V Varga
Ashfaq Ali
Azra Kurbasic
Dmitry Shungin
Ulrika Ericson
Robert W Koivula
Audrey Y Chu
Lynda M Rose
Andrea Ganna
Qibin Qi
Alena Stančáková
Camilla H Sandholt
Cathy E Elks
Gary Curhan
Majken K Jensen
Rulla M Tamimi
Kristine H Allin
Torben Jørgensen
Soren Brage
Claudia Langenberg
Mette Aadahl
Niels Grarup
Allan Linneberg
Guillaume Paré
InterAct Consortium
DIRECT Consortium
Patrik K E Magnusson
Nancy L Pedersen
Michael Boehnke
Anders Hamsten
Karen L Mohlke
Louis T Pasquale
Oluf Pedersen
Robert A Scott
Paul M Ridker
Erik Ingelsson
Markku Laakso
Torben Hansen
Lu Qi
Nicholas J Wareham
Daniel I Chasman
Göran Hallmans
Frank B Hu
Frida Renström
Marju Orho-Melander
Paul W Franks

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI FUCHS, CHARLES S · 1991 to 2009
$41.8M
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
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$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 HU, FRANK B · 2011 to 2015
$9.6M
The Pathobiology of NephrolithiasisP01DK070756 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI POLLAK, MARTIN R. · 2007 to 2011
$8.4M
Medical Research Council MC_U106179471Medical Research Council MC_U106179473Medical Research Council MC_UU_12015/1NCI NIH HHS CA047988NCI NIH HHS CA055075NCI NIH HHS CA134958NCI NIH HHS CA49449NCI NIH HHS CA87969NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS R01 CA047988NCI NIH HHS R01 CA049449NCI NIH HHS R01 CA134958NCI NIH HHS U01 CA049449NCI NIH HHS U54 CA155626NCI NIH HHS U54CA155626NEI NIH HHS EY015473NEI NIH HHS R01 EY015473NHGRI NIH HHS U01 HG004399NHGRI NIH HHS U01HG004399NHGRI NIH HHS U01 HG004728NHGRI NIH HHS U01HG004728-02NHLBI NIH HHS HL043851NHLBI NIH HHS HL071981NHLBI NIH HHS HL073168NHLBI NIH HHS HL080467NHLBI NIH HHS HL088521NHLBI NIH HHS HL34594NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL043851NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R01 HL073168NHLBI NIH HHS R01 HL080467NHLBI NIH HHS R01 HL088521NIDDK NIH HHS 5P30DK46200NIDDK NIH HHS DK062370NIDDK NIH HHS DK072193NIDDK NIH HHS DK080140NIDDK NIH HHS DK091718NIDDK NIH HHS DK093757NIDDK NIH HHS DK46200NIDDK NIH HHS DK58845NIDDK NIH HHS DK70756NIDDK NIH HHS K24 DK080140NIDDK NIH HHS P01 DK070756NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK058845NIDDK NIH HHS R01 DK062370NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK091718NIDDK NIH HHS R01 DK093757NIDDK NIH HHS R56 DK062370NIDDK NIH HHS U01 DK062370Wellcome Trust
6 · The paper itself

Abstract

Numerous obesity loci have been identified using genome-wide association studies. A UK study indicated that physical activity may attenuate the cumulative effect of 12 of these loci, but replication studies are lacking. Therefore, we tested whether the aggregate effect of these loci is diminished in adults of European ancestry reporting high levels of physical activity. Twelve obesity-susceptibility loci were genotyped or imputed in 111,421 participants. A genetic risk score (GRS) was calculated by summing the BMI-associated alleles of each genetic variant. Physical activity was assessed using self-administered questionnaires. Multiplicative interactions between the GRS and physical activity on BMI were tested in linear and logistic regression models in each cohort, with adjustment for age, age(2), sex, study center (for multicenter studies), and the marginal terms for physical activity and the GRS. These results were combined using meta-analysis weighted by cohort sample size. The meta-analysis yielded a statistically significant GRS × physical activity interaction effect estimate (Pinteraction  = 0.015). However, a statistically significant interaction effect was only apparent in North American cohorts (n = 39,810, Pinteraction  = 0.014 vs. n = 71,611, Pinteraction  = 0.275 for Europeans). In secondary analyses, both the FTO rs1121980 (Pinteraction  = 0.003) and the SEC16B rs10913469 (Pinteraction  = 0.025) variants showed evidence of SNP × physical activity interactions. This meta-analysis of 111,421 individuals provides further support for an interaction between physical activity and a GRS in obesity disposition, although these findings hinge on the inclusion of cohorts from North America, indicating that these results are either population-specific or non-causal.

Indexed as

Genetic Association StudiesGenetic Predisposition to DiseaseAdultAllelesBody Mass IndexFemaleHumansLogistic ModelsMaleMotor ActivityObesityPolymorphism, Single NucleotideRisk FactorsSurveys and QuestionnairesWhite People

Identifiers

PMID23935507
PMCPMC3723486

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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.