Variant Details for OPRL1


Gene Symbol: | OPRL1 ( KOR-3,MGC34578,NOCIR,OOR,ORL1 ) |
---|---|
Gene Full Name: | opiate receptor-like 1 |
Band: | 20q13.33 |
Quick Links | Entrez ID:4987; OMIM: 602548; Uniprot ID:OPRX_HUMAN; ENSEMBL ID: ENSG00000125510; HGNC ID: 8155 |
Relate to Another Database: | SFARIGene; denovo-db |


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 | 3 | 1 | 0 | 0 | 0 | 0 | 4 |


CNV ID | Chr | Band | Start | End | Size | Gain/Loss | UCSC Browser | Reference |
---|---|---|---|---|---|---|---|---|
AutCNV0000155 | 20 | 20q13.33 | 61478894 | 62906556 | 1427662 | gain | external link | Marshall, 2008 |
AutCNV0000696 | 20 | 20q13.33 | 58466605 | 62965520 | 4498915 | loss | external link | Berkel, 2010 |
AutCNV0004382 | 20 | 20q13.33 | 61478894 | 62906556 | 1427662 | gain | external link | Sanders, 2011 |


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 |
---|---|---|---|---|---|---|---|---|---|
20 | 62729390 | C | Y | Sanger sequencing | O'Roak BJ, 2012 |


Chr | Position | Ref | Alt | Genotype | Validated Method | Reference |
---|---|---|---|---|---|---|
No related data! |


Chr | Pos | Ref | Alt | Coding | AA | Validated | iFish Prediction | iFish Probability | Reference |
---|---|---|---|---|---|---|---|---|---|
No related data! |


Chr | Pos | Ref | Alt | Coding | AA | Validated | iFish Prediction | iFish Probability | Reference |
---|---|---|---|---|---|---|---|---|---|
No related data! |


Linkage Name | Band | Chr | Marker | LOD | NPL | P Value | Reference |
---|---|---|---|---|---|---|---|
No related data! |