ArticleGenome medicine2015
Complete re-sequencing of a 2Mb topological domain encompassing the FTO/IRXB genes identifies a novel obesity-associated region upstream of IRX5.
Article in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.
- Effect direction meta-analysis of GWAS identifies extreme, prevalent and shared pleiotropy in a large mammal.Communications biology · 2020Pooled it
- A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity.Human molecular genetics · 2019Pooled it
- Joint Tissues: Convergence and Divergence of the Pathogenetic Mechanisms of Rheumatoid Arthritis and Osteoarthritis.International journal of molecular sciences · 2025Review
- Identification and functional validation of rare coding variants in genes linked to monogenic obesity.Obesity (Silver Spring, Md.) · 2024Article
- Studies on the fat mass and obesity-associated (FTO) gene and its impact on obesity-associated diseases.Genes & diseases · 2023Review
- Technologies, strategies, and cautions when deconvoluting genome-wide association signals: FTO in focus.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2023Review
- The importance of considering regulatory domains in genome-wide analyses - the nearest gene is often wrong!Biology open · 2022Review
- IRX5 promotes adipogenesis of hMSCs by repressing glycolysis.Cell death discovery · 2022Article
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- The possible mechanisms of the effects of IRX3 gene on body weight: an overview.Archives of medical sciences. Atherosclerotic diseases · 2019Article
- Recent Advances in the Genetics of Fractures in Osteoporosis.Frontiers in endocrinology · 2019Review
- Mapping novel genetic loci associated with female liver weight variations using Collaborative Cross mice.Animal models and experimental medicine · 2018Article
- Topologically associating domains are ancient features that coincide with Metazoan clusters of extreme noncoding conservation.Nature communications · 2017Article
- Genetic association of FTO/IRX region with obesity and overweight in the Polish population.PloS one · 2017Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundAssociation studies have identified a number of loci that contribute to an increased body mass index (BMI), the strongest of which is in the first intron of the FTO gene on human chromosome 16q12.2. However, this region is both non-coding and under strong linkage disequilibrium, making it recalcitrant to functional interpretation. Furthermore, the FTO gene is located within a complex cis-regulatory landscape defined by a topologically associated domain that includes the IRXB gene cluster, a trio of developmental regulators. Consequently, at least three genes in this interval have been implicated in the aetiology of obesity.
methodsHere, we sequence a 2 Mb region encompassing the FTO, RPGRIP1L and IRXB cluster genes in 284 individuals from a well-characterised study group of Danish men containing extremely overweight young adults and controls. We further replicate our findings both in an expanded male cohort and an independent female study group. Finally, we compare our variant data with a previous study describing IRX3 and FTO interactions in this region.
resultsWe obtain deep coverage across the entire region, allowing accurate and unequivocal determination of almost every single nucleotide polymorphism and short insertion/deletion. As well as confirming previous findings across the interval, we identify a further novel age-dependent association upstream of IRX5 that imposes a similar burden on BMI to the FTO locus.
conclusionsOur findings are consistent with the hypothesis that chromatin architectures play a role in regulating gene expression levels across topological domains while our targeted sequence approach represents a widely applicable methodology for high-resolution analysis of regional variation across candidate genomic loci.
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