Human Gene PCDH10 (ENST00000264360.7_6) from GENCODE V45lift37
Description: Homo sapiens protocadherin 10 (PCDH10), transcript variant 1, mRNA. (from RefSeq NM_032961) RefSeq Summary (NM_032961): This gene belongs to the protocadherin gene family, a subfamily of the cadherin superfamily. This family member contains 6 extracellular cadherin domains, a transmembrane domain and a cytoplasmic tail differing from those of the classical cadherins. The encoded protein is a cadherin-related neuronal receptor thought to function in the establishment of specific cell-cell connections in the brain. This gene plays a role in inhibiting cancer cell motility and cell migration. Alternative splicing results in multiple transcript variants encoding different isoforms. [provided by RefSeq, Jan 2015]. Gencode Transcript: ENST00000264360.7_6 Gencode Gene: ENSG00000138650.9_9 Transcript (Including UTRs) Position: hg19 chr4:134,070,449-134,115,855 Size: 45,407 Total Exon Count: 5 Strand: + Coding Region Position: hg19 chr4:134,071,296-134,111,315 Size: 40,020 Coding Exon Count: 5
Bone Density Douglas P Kiel et al. BMC medical genetics 2007, Genome-wide association with bone mass and geometry in the Framingham Heart Study., BMC medical genetics.
[PubMed 17903296]
The FHS 100K SNP project offers an unbiased genome-wide strategy to identify new candidate loci and to replicate previously suggested candidate genes for osteoporosis.
Fibrinogen Qiong Yang et al. BMC medical genetics 2007, Genome-wide association and linkage analyses of hemostatic factors and hematological phenotypes in the Framingham Heart Study., BMC medical genetics.
[PubMed 17903294]
Using genome-wide association methodology, we have successfully identified a SNP in complete LD with a sequence variant previously shown to be strongly associated with factor VII, providing proof of principle for this approach. Further study of additional strongly associated SNPs and linked regions may identify novel variants that influence the inter-individual variability in hemostatic factors and hematological phenotypes.
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 X5D999
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Gene Ontology (GO) Annotations with Structured Vocabulary
Molecular Function: GO:0005509 calcium ion binding