Orthologies: 0 | Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
ATP1A1
Namespace
HGNC
Namespace Version
20170511
Namespace URL
https://arty.scai.fraunhofer.de/artifactory/bel/namespace/hgnc-human-genes/hgnc-human-genes-20170511.belns

Appears in Networks 10

Colorectal Cancer Knowledge Assembly - Drugs Pathways and General Biology v1.1.0

Colorectal Cancer Knowledge Assembly with drug associations and Pathways + general CRC biology

Colorectal Cancer Knowledge Assembly - Drugs Pathways v1.0.0

Colorectal Cancer Knowledge Assembly with drug associations and Pathways.

CRC_combined v1.1

BEL Document

Colorectal Cancer Model v2.0.0

Colorectal Cancer Model

Colorectal Cancer Model v0.0.0

Colorectal Cancer Model

Colorectal Cancer Model v2.0.3

Colorectal Cancer Model

Colorectal Cancer Model v2.0.4

Colorectal Cancer Model, uploaded by reagon

Colorectal Cancer Model v2.0.5

Colorectal Cancer Model, uploaded by reagon

Colorectal Cancer Model v2.0.6

Colorectal Cancer Model, uploaded by reagon

In-Edges 8

bp(GOBP:transport) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

bp(GOBP:transport) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
MeSH
Microtubules
Experimental Factor Ontology (EFO)
HCT-15 cell
MeSH
Colorectal Neoplasms
Evidence and Conclusion Ontology
immunohistochemistry
MeSH
Allografts
NCBI Taxonomy Names
Mus musculus
Disease Ontology (DO)
colorectal cancer
NCBI Taxonomy Ids
10117

bp(GOBP:transport) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Experimental Factor Ontology (EFO)
HCT-15 cell
MeSH
Intracellular Space
MeSH
Condylomata Acuminata
MeSH
Mucus
NCBI Taxonomy Names
Atractylodes macrocephala
NCBI Taxonomy Names
Panax ginseng
NCBI Taxonomy Names
Astragalus membranaceus
NCBI Taxonomy Names
Glycyrrhiza uralensis
NCBI Taxonomy Names
Poria cocos
NCBI Taxonomy Names
Coix lacryma-jobi
Disease Ontology (DO)
colorectal cancer
Uberon
intestinal epithelium
Cell Ontology (CL)
stem cell
NCBI Taxonomy Ids
9606

a(SCHEM:Oxaliplatin) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Experimental Factor Ontology (EFO)
HCT-15 cell
MeSH
Intracellular Space
MeSH
Condylomata Acuminata
MeSH
Mucus
NCBI Taxonomy Names
Atractylodes macrocephala
NCBI Taxonomy Names
Panax ginseng
NCBI Taxonomy Names
Astragalus membranaceus
NCBI Taxonomy Names
Glycyrrhiza uralensis
NCBI Taxonomy Names
Poria cocos
NCBI Taxonomy Names
Coix lacryma-jobi
Disease Ontology (DO)
colorectal cancer
Uberon
intestinal epithelium
Cell Ontology (CL)
stem cell
NCBI Taxonomy Ids
9606

bp(GOBP:transport) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

a(SCHEM:Oxaliplatin) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

bp(GOBP:transport) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Disease Ontology (DO)
colorectal cancer

a(CHEBI:oxaliplatin) association g(HGNC:ATP1A1)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Disease Ontology (DO)
colorectal cancer

Out-Edges 8

g(HGNC:ATP1A1) association bp(GOBP:transport)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

g(HGNC:ATP1A1) association bp(GOBP:transport)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
MeSH
Microtubules
Experimental Factor Ontology (EFO)
HCT-15 cell
MeSH
Colorectal Neoplasms
Evidence and Conclusion Ontology
immunohistochemistry
MeSH
Allografts
NCBI Taxonomy Names
Mus musculus
Disease Ontology (DO)
colorectal cancer
NCBI Taxonomy Ids
10117

g(HGNC:ATP1A1) association bp(GOBP:transport)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Experimental Factor Ontology (EFO)
HCT-15 cell
MeSH
Intracellular Space
MeSH
Condylomata Acuminata
MeSH
Mucus
NCBI Taxonomy Names
Atractylodes macrocephala
NCBI Taxonomy Names
Panax ginseng
NCBI Taxonomy Names
Astragalus membranaceus
NCBI Taxonomy Names
Glycyrrhiza uralensis
NCBI Taxonomy Names
Poria cocos
NCBI Taxonomy Names
Coix lacryma-jobi
Disease Ontology (DO)
colorectal cancer
Uberon
intestinal epithelium
Cell Ontology (CL)
stem cell
NCBI Taxonomy Ids
9606

g(HGNC:ATP1A1) association a(SCHEM:Oxaliplatin)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Experimental Factor Ontology (EFO)
HCT-15 cell
MeSH
Intracellular Space
MeSH
Condylomata Acuminata
MeSH
Mucus
NCBI Taxonomy Names
Atractylodes macrocephala
NCBI Taxonomy Names
Panax ginseng
NCBI Taxonomy Names
Astragalus membranaceus
NCBI Taxonomy Names
Glycyrrhiza uralensis
NCBI Taxonomy Names
Poria cocos
NCBI Taxonomy Names
Coix lacryma-jobi
Disease Ontology (DO)
colorectal cancer
Uberon
intestinal epithelium
Cell Ontology (CL)
stem cell
NCBI Taxonomy Ids
9606

g(HGNC:ATP1A1) association bp(GOBP:transport)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

g(HGNC:ATP1A1) association a(SCHEM:Oxaliplatin)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

g(HGNC:ATP1A1) association a(CHEBI:oxaliplatin)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Disease Ontology (DO)
colorectal cancer

g(HGNC:ATP1A1) association bp(GOBP:transport)

Model selection resulted in the inclusion of 14 SNPs from eight genes (six transporter genes, ABCA9, ABCB11, ABCC10, ATP1A1, ATP1B2, ATP8B3, and two metabolism genes GSTM5, GRHPR), which significantly improved model fit. Using bootstrap analysis we show an improvement of the prediction error of 3.7% in patients treated with oxaliplatin. Several variants in genes involved in metabolism and transport could thus be potential predictive markers for oxaliplatin treatment in CRC patients. PubMed:26835885

Annotations
Disease Ontology (DO)
colorectal cancer

About

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of the open source project, PyBEL. Please feel free to contact us here to give us feedback or report any issues.