Variant Details for CPNE2
Basic Information Top
Gene Symbol: | CPNE2 ( COPN2,CPN2,DKFZp686E06199,MGC16924 ) |
---|---|
Gene Full Name: | copine II |
Band: | 16q13 |
Quick Links | Entrez ID:221184; OMIM: 604206; Uniprot ID:CPNE2_HUMAN; ENSEMBL ID: ENSG00000140848; HGNC ID: 2315 |
Relate to Another Database: | SFARIGene; denovo-db |
Variant Statistic Top
Click the link of the category-specific score to view different category of evidences. The categories without any evidences are hidden by default. Chromosome coordinates: hg19
Genetic Category | CNVs/SVs | de novo Mutations | Mosaics SNVs | NGS Other Mutations | Low-Scale Gene Mutations | Linkage Regions | Total |
---|---|---|---|---|---|---|---|
Number | 1 | 1 | 0 | 0 | 0 | 0 | 2 |
CNVs/SVs Top
CNV ID | Chr | Band | Start | End | Size | Gain/Loss | UCSC Browser | Reference |
---|---|---|---|---|---|---|---|---|
AutCNV0000275 | 16 | 16q13-22 | 55942499 | 74742499 | 18800000 | loss | external link | Wassink, 2001 |
NGS de novo Mutations Top
iFish (integrated Functional inference of SNVs in human) is based on gene/gene family customized models to classify missense mutations.
Chr | Pos | Ref | Alt | Coding | AA | Validated Method | iFish Prediction | iFish Probability | Reference |
---|---|---|---|---|---|---|---|---|---|
16 | 57157358 | C | G | c.900C>G | p.Ile300Met | Sanger sequencing | deleterious | 0.9408 | Takata A, 2018 |
NGS Mosaic Mutations Top
Chr | Position | Ref | Alt | Genotype | Validated Method | Reference |
---|---|---|---|---|---|---|
No related data! |
NGS Other Mutations Top
Chr | Pos | Ref | Alt | Coding | AA | Validated | iFish Prediction | iFish Probability | Reference |
---|---|---|---|---|---|---|---|---|---|
No related data! |
Low-Scale Gene Mutations Top
Chr | Pos | Ref | Alt | Coding | AA | Validated | iFish Prediction | iFish Probability | Reference |
---|---|---|---|---|---|---|---|---|---|
No related data! |
Linkage Regions Top
Linkage Name | Band | Chr | Marker | LOD | NPL | P Value | Reference |
---|---|---|---|---|---|---|---|
No related data! |