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      Obesity-associated variants within FTO form long-range functional connections with IRX3

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          Abstract

          Genome-wide association studies (GWAS) have reproducibly associated variants within introns of FTO with increased risk for obesity and type-2 diabetes (T2D) 13 . While the molecular mechanisms linking these noncoding variants with obesity are not immediately obvious, subsequent studies in mice demonstrated that FTO expression levels influence body mass and composition phenotypes 46 . Yet, no direct connection between the obesity-associated variants and FTO expression or function has been made 79 . Here, we show that the obesity-associated noncoding sequences within FTO are functionally connected, at megabase distances, with the homeobox gene IRX3. The obesity-associated FTO region directly interacts with the promoters of IRX3 as well as FTO in the human, mouse, and zebrafish genomes. Furthermore, long-range enhancers within this region recapitulate aspects of IRX3 expression, suggesting that the obesity-associated interval belongs to the regulatory landscape of IRX3. Supporting this, obesity-associated SNPs are associated with expression of IRX3, but not FTO, in human brains. Directly linking IRX3 expression with regulation of body mass and composition, Irx3-deficient mice exhibit a 25–30% reduction in body weight, primarily through the loss of fat mass and increase in basal metabolic rate with browning of white adipose tissue. Furthermore, hypothalamic expression of a dominant negative form of Irx3 reproduces the metabolic phenotypes of Irx3-deficient mice. Our data posit that IRX3 is a functional long-range target of obesity-associated variants within FTO, and represents a novel determinant of body mass and composition.

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          Most cited references29

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          The obesity-associated FTO gene encodes a 2-oxoglutarate-dependent nucleic acid demethylase.

          Variants in the FTO (fat mass and obesity associated) gene are associated with increased body mass index in humans. Here, we show by bioinformatics analysis that FTO shares sequence motifs with Fe(II)- and 2-oxoglutarate-dependent oxygenases. We find that recombinant murine Fto catalyzes the Fe(II)- and 2OG-dependent demethylation of 3-methylthymine in single-stranded DNA, with concomitant production of succinate, formaldehyde, and carbon dioxide. Consistent with a potential role in nucleic acid demethylation, Fto localizes to the nucleus in transfected cells. Studies of wild-type mice indicate that Fto messenger RNA (mRNA) is most abundant in the brain, particularly in hypothalamic nuclei governing energy balance, and that Fto mRNA levels in the arcuate nucleus are regulated by feeding and fasting. Studies can now be directed toward determining the physiologically relevant FTO substrate and how nucleic acid methylation status is linked to increased fat mass.
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            Inactivation of the Fto gene protects from obesity.

            Several independent, genome-wide association studies have identified a strong correlation between body mass index and polymorphisms in the human FTO gene. Common variants in the first intron define a risk allele predisposing to obesity, with homozygotes for the risk allele weighing approximately 3 kilograms more than homozygotes for the low risk allele. Nevertheless, the functional role of FTO in energy homeostasis remains elusive. Here we show that the loss of Fto in mice leads to postnatal growth retardation and a significant reduction in adipose tissue and lean body mass. The leanness of Fto-deficient mice develops as a consequence of increased energy expenditure and systemic sympathetic activation, despite decreased spontaneous locomotor activity and relative hyperphagia. Taken together, these experiments provide, to our knowledge, the first direct demonstration that Fto is functionally involved in energy homeostasis by the control of energy expenditure.
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              Quantitative analysis of chromosome conformation capture assays (3C-qPCR).

              Chromosome conformation capture (3C) technology is a pioneering methodology that allows in vivo genomic organization to be explored at a scale encompassing a few tens to a few hundred kilobase-pairs. Understanding the folding of the genome at this scale is particularly important in mammals where dispersed regulatory elements, like enhancers or insulators, are involved in gene regulation. 3C technology involves formaldehyde fixation of cells, followed by a polymerase chain reaction (PCR)-based analysis of the frequency with which pairs of selected DNA fragments are crosslinked in the population of cells. Accurate measurements of crosslinking frequencies require the best quantification techniques. We recently adapted the real-time TaqMan PCR technology to the analysis of 3C assays, resulting in a method that more accurately determines crosslinking frequencies than current semiquantitative 3C strategies that rely on measuring the intensity of ethidium bromide-stained PCR products separated by gel electrophoresis. Here, we provide a detailed protocol for this method, which we have named 3C-qPCR. Once preliminary controls and optimizations have been performed, the whole procedure (3C assays and quantitative analyses) can be completed in 7-9 days.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                4 July 2014
                12 March 2014
                20 March 2014
                20 September 2014
                : 507
                : 7492
                : 371-375
                Affiliations
                [1 ]Department of Human Genetics, University of Chicago, Chicago, IL, USA
                [2 ]Centro Andaluz de Biología del Desarrollo (CABD), Consejo Superior de Investigaciones Científicas/Universidad Pablo de Olavide, Carretera de Utrera Km1, 41013 Sevilla, Spain
                [3 ]Program in Developmental & Stem Cell Biology, The Hospital for Sick Children, and Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada
                [4 ]Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA
                [5 ]Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, M5T 3H7, Canada
                [6 ]Cardiovascular Development and Repair Department, Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain
                Author notes
                Correspondence and requests for materials should be addressed to M.A.N. ( nobrega@ 123456uchicago.edu ), J.L.G.S. ( jlgomska@ 123456upo.es ) or C-C.H. ( cchui@ 123456sickkids.ca )
                [*]

                these authors contributed equally to this work

                Article
                NIHMS566189
                10.1038/nature13138
                4113484
                24646999
                be174c2a-7e05-47fc-a09e-d3b936e8568c
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