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Identification of Pleiotropic Genetic Effects on Obesity and Brain Anatomy

Curran J.E.a · McKay D.R.e, f · Winkler A.M.e,f,h · Olvera R.L.b · Carless M.A.a · Dyer T.D.a · Kent Jr. J.W.a · Kochunov P.g · Sprooten E.e, f · Knowles E.E.e, f · Comuzzie A.G.a · Fox P.T.c, d · Almasy L.a · Duggirala R.a · Blangero J.a · Glahn D.C.e, f

Author affiliations

aDepartment of Genetics, Texas Biomedical Research Institute, bDepartment of Psychiatry, and cResearch Imaging Institute, University of Texas Health Science Center San Antonio, and dSouth Texas Veterans Health System, San Antonio, Tex., eOlin Neuropsychiatry Research Center, Institute of Living, Hartford, Conn., fDepartment of Psychiatry, Yale University School of Medicine, New Haven, Conn., and gDepartment of Psychiatry and Maryland Psychiatric Research Center, University of Maryland, Catonsville, Md., USA; hCentre for Functional MRI of the Brain, University of Oxford, Oxford, UK

Corresponding Author

Dr. Joanne E. Curran

Department of Genetics, Texas Biomedical Research Institute

PO Box 760549

San Antonio, TX 78245-0549 (USA)

E-Mail jcurran@txbiomedgenetics.org

Related Articles for ""

Hum Hered 2013;75:136-143

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Background/Aims: Obesity is a major contributor to the global burden of chronic disease and disability, though current knowledge of causal biologic underpinnings is lacking. Through the regulation of energy homeostasis and interactions with adiposity and gut signals, the brain is thought to play a significant role in the development of this disorder. While neuroanatomical variation has been associated with obesity, it is unclear if this relationship is influenced by common genetic mechanisms. In this study, we sought genetic components that influence both brain anatomy and body mass index (BMI) to provide further insight into the role of the brain in energy homeostasis and obesity. Methods: MRI images of brain anatomy were acquired in 839 Mexican American individuals from large extended pedigrees. Bivariate linkage and quantitative analyses were performed in SOLAR. Results: Genetic factors associated with an increased BMI were also associated with a reduced cortical surface area and subcortical volume. We identified two genome-wide quantitative trait loci that influenced BMI and the ventral diencephalon volume, and BMI and the supramarginal gyrus surface area, respectively. Conclusions: This study represents the first genetic analysis seeking evidence of pleiotropic effects acting on both brain anatomy and BMI. Our results suggest that a region on chromosome 17 contributes to the development of obesity, potentially through leptin-induced signaling in the hypothalamus, and that a region on chromosome 3 appears to jointly influence the food-related reward circuitry and the supramarginal gyrus.

© 2013 S. Karger AG, Basel

Article / Publication Details

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Abstract of  

Published online: September 27, 2013
Issue release date: September 2013

Number of Print Pages: 8
Number of Figures: 1
Number of Tables: 3

ISSN: 0001-5652 (Print)
eISSN: 1423-0062 (Online)

For additional information: http://www.karger.com/HHE

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