ID:MYSM1_HUMAN DESCRIPTION: RecName: Full=Histone H2A deubiquitinase MYSM1; Short=2A-DUB; EC=3.4.19.-; AltName: Full=Myb-like, SWIRM and MPN domain-containing protein 1; FUNCTION: Metalloprotease that specifically deubiquitinates monoubiquitinated histone H2A, a specific tag for epigenetic transcriptional repression, thereby acting as a coactivator. Preferentially deubiquitinates monoubiquitinated H2A in hyperacetylated nucleosomes. Deubiquitination of histone H2A leads to facilitate the phosphorylation and dissociation of histone H1 from the nucleosome. Acts as a coactivator by participating in the initiation and elongation steps of androgen receptor (AR)-induced gene activation. SUBUNIT: Component of a large chromatin remodeling complex, at least composed of MYSM1, PCAF, RBM10 and KIF11/TRIP5. Binds histones. SUBCELLULAR LOCATION: Nucleus. DOMAIN: Binds double-stranded DNA via the SANT domain. The SWIRM domain does not bind double-stranded DNA. PTM: Phosphorylated upon DNA damage, probably by ATM or ATR. SIMILARITY: Belongs to the peptidase M67A family. MYSM1 subfamily. SIMILARITY: Contains 1 MPN (JAB/Mov34) domain. SIMILARITY: Contains 1 SANT domain. SIMILARITY: Contains 1 SWIRM domain. SEQUENCE CAUTION: Sequence=BAB67808.1; Type=Erroneous initiation; Sequence=BAG54377.1; Type=Erroneous initiation;
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Genetic Association Studies of Complex Diseases and Disorders
Genetic Association Database (archive): MYSM1 CDC HuGE Published Literature: MYSM1 Positive Disease Associations: Lipids
, Triglycerides Related Studies:
Lipids Sekar Kathiresan et al. BMC medical genetics 2007, A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study., BMC medical genetics.
[PubMed 17903299]
Using a 100K genome-wide scan, we have generated a set of putative associations for common sequence variants and lipid phenotypes. Validation of selected hypotheses in additional samples did not identify any new loci underlying variability in blood lipids. Lack of replication may be due to inadequate statistical power to detect modest quantitative trait locus effects (i.e., <1% of trait variance explained) or reduced genomic coverage of the 100K array. GWAS in FHS using a denser genome-wide genotyping platform and a better-powered replication strategy may identify novel loci underlying blood lipids.
Triglycerides Sekar Kathiresan et al. BMC medical genetics 2007, A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study., BMC medical genetics.
[PubMed 17903299]
Using a 100K genome-wide scan, we have generated a set of putative associations for common sequence variants and lipid phenotypes. Validation of selected hypotheses in additional samples did not identify any new loci underlying variability in blood lipids. Lack of replication may be due to inadequate statistical power to detect modest quantitative trait locus effects (i.e., <1% of trait variance explained) or reduced genomic coverage of the 100K array. GWAS in FHS using a denser genome-wide genotyping platform and a better-powered replication strategy may identify novel loci underlying blood lipids.
Triglycerides Sekar Kathiresan et al. BMC medical genetics 2007, A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study., BMC medical genetics.
[PubMed 17903299]
Using a 100K genome-wide scan, we have generated a set of putative associations for common sequence variants and lipid phenotypes. Validation of selected hypotheses in additional samples did not identify any new loci underlying variability in blood lipids. Lack of replication may be due to inadequate statistical power to detect modest quantitative trait locus effects (i.e., <1% of trait variance explained) or reduced genomic coverage of the 100K array. GWAS in FHS using a denser genome-wide genotyping platform and a better-powered replication strategy may identify novel loci underlying blood lipids.
The RNAfold program from the Vienna RNA Package is used to perform the secondary structure predictions and folding calculations. The estimated folding energy is in kcal/mol. The more negative the energy, the more secondary structure the RNA is likely to have.
ModBase Predicted Comparative 3D Structure on Q5VVJ2
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Orthologous Genes in Other Species
Orthologies between human, mouse, and rat are computed by taking the best BLASTP hit, and filtering out non-syntenic hits. For more distant species reciprocal-best BLASTP hits are used. Note that the absence of an ortholog in the table below may reflect incomplete annotations in the other species rather than a true absence of the orthologous gene.
US Server
