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Authordc.contributor.authorJustice, A. E. 
Authordc.contributor.authorChittoor, G. 
Authordc.contributor.authorBlanco, E. 
Authordc.contributor.authorGraff, M. 
Authordc.contributor.authorWang, Y. 
Authordc.contributor.authorAlbala Brevis, Cecilia 
Authordc.contributor.authorSantos, J. L. 
Authordc.contributor.authorAngel, B. 
Authordc.contributor.authorLozoff, B. 
Authordc.contributor.authorVoruganti, V. S. 
Authordc.contributor.authorNorth, K. E. 
Authordc.contributor.authorGahagan, S. 
Admission datedc.date.accessioned2019-10-14T15:41:02Z
Available datedc.date.available2019-10-14T15:41:02Z
Publication datedc.date.issued2019
Cita de ítemdc.identifier.citationPediatric Obesity, Volumen 14, Issue 3, 2019
Identifierdc.identifier.issn20476310
Identifierdc.identifier.issn20476302
Identifierdc.identifier.other10.1111/ijpo.12479
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/171514
Abstractdc.description.abstractBackground: While the genetic contribution to obesity is well established, few studies have examined how genetic variants influence standardized body mass index Z-score (BMIz) in Hispanics/Latinos, especially across childhood and adolescence. Objectives: We estimated the effect of established BMIz loci in Chilean children of the Santiago Longitudinal Study (SLS). Methods: We examined associations with BMIz at age 10 for 15 loci previously identified in European children. For significant loci, we performed association analyses at ages 5 and 16 years, for which we have smaller sample sizes. We tested associations of unweighted genetic risk scores (GRSs) for previously identified tag variants (GRS_EUR) and from the most significant variants in SLS at each locus (GRS_SLS). Results: We generalized five variants at age 10 (P < 0.05 and directionally consistent), including rs543874 that reached Bonferroni-corrected significance. The effect on BMIz was greatest at age 10 for all significant loci, except FTO, which exhibited an increase in effect from ages 5 to 16. Both GRSs were associated with BMIz (P < 0.0001), but GRS_SLS explained a much greater proportion of the variation (13.63%). Conclusion: Our results underscore the importance of conducting genetic investigations across life stages and selecting ancestry appropriate tag variants in future studies for disease prediction and clinical evaluation.
Lenguagedc.language.isoen
Publisherdc.publisherJohn Wiley
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourcePediatric Obesity
Keywordsdc.subjectBMI
Keywordsdc.subjectGenetic risk score
Keywordsdc.subjectLatin America
Keywordsdc.subjectObesity
Títulodc.titleGenetic determinants of BMI from early childhood to adolescence: the Santiago Longitudinal Study
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorlaj
Indexationuchile.indexArtículo de publicación SCOPUS
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile