Description: Homo sapiens muscleblind-like splicing regulator 2 (MBNL2), transcript variant 3, mRNA. RefSeq Summary (NM_207304): This gene is a member of the muscleblind protein family which was initially described in Drosophila melanogaster. This gene encodes a C3H-type zinc finger protein that modulates alternative splicing of pre-mRNAs. Muscleblind proteins bind specifically to expanded dsCUG RNA but not to normal size CUG repeats and may thereby play a role in the pathophysiology of myotonic dystrophy. Several alternatively spliced transcript variants have been described but the full-length natures of only some have been determined. [provided by RefSeq, Mar 2012]. Transcript (Including UTRs) Position: hg19 chr13:97,927,886-98,046,374 Size: 118,489 Total Exon Count: 4 Strand: + Coding Region Position: hg19 chr13:97,928,490-98,043,703 Size: 115,214 Coding Exon Count: 4
Alcoholism Andrew C Heath et al. Biological psychiatry 2011, A quantitative-trait genome-wide association study of alcoholism risk in the community: findings and implications., Biological psychiatry.
[PubMed 21529783]
We conclude that 1) meta-analyses of consumption data may contribute usefully to gene discovery; 2) translation of human alcoholism GWAS results to drug discovery or clinically useful prediction of risk will be challenging; and 3) through accumulation across studies, GWAS data may become valuable for improved genetic risk differentiation in research in biological psychiatry (e.g., prospective high-risk or resilience studies).
Apolipoproteins B 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.
Cholesterol 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.
E-Selectin Andrew D Paterson et al. Arteriosclerosis, thrombosis, and vascular biology 2009, Genome-wide association identifies the ABO blood group as a major locus associated with serum levels of soluble E-selectin., Arteriosclerosis, thrombosis, and vascular biology.
[PubMed 19729612]
ABO is a major locus for serum soluble E-selectin levels. We excluded population stratification, fine-mapped the association to sub-A alleles, and also document association with additional variation in the ABO region.
Vitamin K Emelia J Benjamin et al. BMC medical genetics 2007, Genome-wide association with select biomarker traits in the Framingham Heart Study., BMC medical genetics.
[PubMed 17903293]
The Framingham GWAS represents a resource to describe potentially novel genetic influences on systemic biomarker variability. The newly described associations will need to be replicated in other studies.
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 B4E3F7
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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
