Evaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty.

dc.contributor.authorAnguita-Ruiz, Augusto
dc.contributor.authorGonzález-Gil, Esther M
dc.contributor.authorRupérez, Azahara I
dc.contributor.authorLlorente-Cantarero, Francisco Jesús
dc.contributor.authorPastor-Villaescusa, Belén
dc.contributor.authorAlcalá-Fdez, Jesús
dc.contributor.authorMoreno, Luis A
dc.contributor.authorGil, Ángel
dc.contributor.authorGil-Campos, Mercedes
dc.contributor.authorBueno, Gloria
dc.contributor.authorLeis, Rosaura
dc.contributor.authorAguilera, Concepción M
dc.date.accessioned2025-01-07T17:03:38Z
dc.date.available2025-01-07T17:03:38Z
dc.date.issued2020-06-02
dc.description.abstractPolygenetic risk scores (pGRSs) consisting of adult body mass index (BMI) genetic variants have been widely associated with obesity in children populations. The implication of such obesity pGRSs in the development of cardio-metabolic alterations during childhood as well as their utility for the clinical prediction of pubertal obesity outcomes has been barely investigated otherwise. In the present study, we evaluated the utility of an adult BMI predisposing pGRS for the prediction and pharmacological management of obesity in Spanish children, further investigating its implication in the appearance of cardio-metabolic alterations. For that purpose, we counted on genetics data from three well-characterized children populations (composed of 574, 96 and 124 individuals), following both cross-sectional and longitudinal designs, expanding childhood and puberty. As a result, we demonstrated that the pGRS is strongly associated with childhood BMI Z-Score (B = 1.56, SE = 0.27 and p-value = 1.90 × 10-8), and that could be used as a good predictor of obesity longitudinal trajectories during puberty. On the other hand, we showed that the pGRS is not associated with cardio-metabolic comorbidities in children and that certain environmental factors interact with the genetic predisposition to the disease. Finally, according to the results derived from a weight-reduction metformin intervention in children with obesity, we discarded the utility of the pGRS as a pharmacogenetics marker of metformin response.
dc.identifier.doi10.3390/jcm9061705
dc.identifier.issn2077-0383
dc.identifier.pmcPMC7355743
dc.identifier.pmid32498346
dc.identifier.pubmedURLhttps://pmc.ncbi.nlm.nih.gov/articles/PMC7355743/pdf
dc.identifier.unpaywallURLhttps://www.mdpi.com/2077-0383/9/6/1705/pdf?version=1592797444
dc.identifier.urihttps://hdl.handle.net/10668/28150
dc.issue.number6
dc.journal.titleJournal of clinical medicine
dc.journal.titleabbreviationJ Clin Med
dc.language.isoen
dc.organizationInstituto de Investigación Biosanitaria de Granada (ibs.GRANADA)
dc.organizationSAS - Hospital Universitario Reina Sofía
dc.organizationInstituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)
dc.organizationInstituto de Investigación Biosanitaria de Granada (ibs.GRANADA)
dc.pubmedtypeJournal Article
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectSpanish children
dc.subjectchildhood
dc.subjectchildhood obesity
dc.subjectgene-environment interactions
dc.subjectgenetic risk score
dc.subjectgenetics
dc.subjectmetabolic syndrome
dc.subjectobesity
dc.subjectpharmacogenetics
dc.subjectpredictive ability
dc.subjectpuberty
dc.titleEvaluation of the Predictive Ability, Environmental Regulation and Pharmacogenetics Utility of a BMI-Predisposing Genetic Risk Score during Childhood and Puberty.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number9

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