Evidence map›Paper›PMID 33542408›Full record

ArticleScientific reports2021

Development of a Genetic Risk Score to predict the risk of overweight and obesity in European adolescents from the HELENA study.

Miguel Seral-Cortes, Sergio Sabroso-Lasa, Pilar De Miguel-Etayo, Marcela Gonzalez-Gross, Eva Gesteiro, Cristina Molina-Hidalgo, Stefaan De Henauw, Frederic Gottrand, Christina Mavrogianni, Yannis Manios and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.5field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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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

20 authors at 16 institutions in 8 countries.

Miguel Seral-CortesGrowth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain. mseral@unizar.es.
Sergio Sabroso-LasaSpanish National Cancer Research Centre (CNIO), Madrid, Spain.
Pilar De Miguel-EtayoGrowth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain.
Marcela Gonzalez-GrossCentro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III, Madrid, Spain.
Eva GesteiroImFine Research Group, Department of Health and Human Performance, Facultad de Ciencias de la Actividad Física y del Deporte-INEF, Universidad Politécnica de Madrid, Madrid, Spain.
Cristina Molina-HidalgoEFFECTS 262 Department of Medical Physiology, School of Medicine, University of Granada, 18071, Granada, Spain.
Stefaan De HenauwDepartment of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
Frederic GottrandFaculty of Medicine, University Lille, Lille, France.
Christina MavrogianniDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.
Yannis ManiosDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece.
Maria PladaUniversity of Crete School of Medicine, Crete, Greece.
Kurt WidhalmDivision of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Austria and Austrian Academic Institute for Clinical Nutrition, Vienna, Austria.
Anthony KafatosFaculty of Medicine, University of Crete, Crete, Greece.
Éva ErhardtDepartment of Pediatrics, Medical School, University of Pécs, Pecs, Hungary.
Aline MeirhaegheUMR1167, RID-AGE, Risk Factors and Molecular Determinants of Aging-Related Diseases, Centre Hosp. Univ Lille, Institut Pasteur de Lille, Université de Lille, Lille, France.
Diego Salazar-TortosaDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
Jonatan RuizDepartmento de Actividad Física y Deporte, Faculty of Sport Sciences, Universidad de Granada, Granada, Spain.
Luis A MorenoGrowth, Exercise, NUtrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria Aragón (IIS Aragón), Universidad de Zaragoza, Zaragoza, Spain.
Luis Mariano EstebanEscuela Politécnica de La Almunia, Universidad de Zaragoza, Zaragoza, Spain.
Idoia LabayenDepartment of Health Sciences, Public University of Navarra, Pamplona, Spain.
Harokopio University of Athens · GRInstituto de Investigación Sanitaria Aragón · ESUniversidad de Granada · ESUniversity of Crete · GRCentro de Investigación Biomédica en Red · ESGhent University · BEInstitut Pasteur de Lille · FRMedical University of Vienna · ATSpanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition · ESSpanish National Cancer Research Centre · ESUniversidad de Navarra · ESUniversidad de Zaragoza · ESUniversidad Politécnica de Madrid · ESUniversité de Lille · FRUniversity of Arizona · USUniversity of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is the result of interactions between genes and environmental factors. Since monogenic etiology is only known in some obesity-related genes, a genetic risk score (GRS) could be useful to determine the genetic predisposition to obesity. Therefore, the aim of our study was to build a GRS able to predict genetic predisposition to overweight and obesity in European adolescents. A total of 1069 adolescents (51.3% female), aged 11-19 years participating in the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) cross-sectional study were genotyped. The sample was divided in non-overweight (non-OW) and overweight/obesity (OW/OB). From 611 single nucleotide polymorphisms (SNP) available, a first screening of 104 SNPs univariately associated with obesity (p < 0.20) was established selecting 21 significant SNPs (p < 0.05) in the multivariate model. Unweighted GRS (uGRS) was calculated by summing the number of risk alleles and weighted GRS (wGRS) by multiplying the risk alleles to each estimated coefficient. The area under curve (AUC) was calculated in uGRS (0.723) and wGRS (0.734) using tenfold internal cross-validation. Both uGRS and wGRS were significantly associated with body mass index (BMI) (p < .001). Both GRSs could potentially be considered as useful genetic tools to evaluate individual's predisposition to overweight/obesity in European adolescents.

Indexed as

Genetic Predisposition to DiseaseAdolescentAdultAllelesBody Mass IndexChildEuropeFemaleGenome-Wide Association StudyGenotypeHumansMaleObesityOverweightPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID33542408
PMCPMC7862459
OpenAlexW3127533579

What OpenQuestion holds

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LicenceCC BY
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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.