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 PMID:21103374  

The fat mass and obesity associated gene FTO functions in the brain to regulate postnatal growth in mice.

Xue Gao | Yong-Hyun Shin | Min Li | Fei Wang | Qiang Tong | Pumin Zhang
PloS one | 2010

FTO (fat mass and obesity associated) was identified as an obesity-susceptibility gene by several independent large-scale genome association studies. A cluster of SNPs (single nucleotide polymorphism) located in the first intron of FTO was found to be significantly associated with obesity-related traits, such as body mass index, hip circumference, and body weight. FTO encodes a protein with a novel C-terminal α-helical domain and an N-terminal double-strand β-helix domain which is conserved in Fe(II) and 2-oxoglutarate-dependent oxygenase family. In vitro, FTO protein can demethylate single-stranded DNA or RNA with a preference for 3-methylthymine or 3-methyluracil. Its physiological substrates and function, however, remain to be defined. Here we report the generation and analysis of mice carrying a conditional deletion allele of Fto. Our results demonstrate that Fto plays an essential role in postnatal growth. The mice lacking Fto completely display immediate postnatal growth retardation with shorter body length, lower body weight, and lower bone mineral density than control mice, but their body compositions are relatively normal. Consistent with the growth retardation, the Fto mutant mice have reduced serum levels of IGF-1. Moreover, despite the ubiquitous expression of Fto, its specific deletion in the nervous system results in similar phenotypes as the whole body deletion, indicating that Fto functions in the central nerve system to regulate postnatal growth.

Pubmed ID: 21103374

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Associated grants

  • Agency: NCI NIH HHS, United States
    Id: R01 CA122623
  • Agency: NCI NIH HHS, United States
    Id: R01 CA116097
  • Agency: NEI NIH HHS, United States
    Id: EY019075
  • Agency: NCI NIH HHS, United States
    Id: CA116097
  • Agency: NCI NIH HHS, United States
    Id: CA122623
  • Agency: NIDDK NIH HHS, United States
    Id: P30 DK079638
  • Agency: NEI NIH HHS, United States
    Id: R01 EY019075

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THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 2nd, 2023. Sequence composition based classifier for metagenomic sequences. It works by capturing signatures of each sequence based on the sequence composition. Each sequence is modeled as a walk in a de Bruijn graph with underlying Markov chain properties. ClaMS captures stationary parameters of the underlying Markov chain as well as structural parameters of the underlying de Bruijn graph to form this signature. In practice, for each sequence to binned, such a signature is computed and matched to similar signatures computed for the training sets. The best match that also qualifies the normalized distance cut-off wins. In the case that the best match does not qualify this cut-off, the sequence remains un-binned.

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