Description: Homo sapiens runt-related transcription factor 3 (RUNX3), transcript variant 1, mRNA. RefSeq Summary (NM_001031680): This gene encodes a member of the runt domain-containing family of transcription factors. A heterodimer of this protein and a beta subunit forms a complex that binds to the core DNA sequence 5'-PYGPYGGT-3' found in a number of enhancers and promoters, and can either activate or suppress transcription. It also interacts with other transcription factors. It functions as a tumor suppressor, and the gene is frequently deleted or transcriptionally silenced in cancer. Alternative splicing results in multiple transcript variants. [provided by RefSeq, Mar 2016]. Transcript (Including UTRs) Position: hg19 chr1:25,255,176-25,291,501 Size: 36,326 Total Exon Count: 2 Strand: - Coding Region Position: hg19 chr1:25,255,505-25,291,062 Size: 35,558 Coding Exon Count: 2
Celiac Disease Patrick C A Dubois et al. Nature genetics 2010, Multiple common variants for celiac disease influencing immune gene expression., Nature genetics.
[PubMed 20190752]
Lipoprotein(a) 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.
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
