A curated catalogue of human genomic structural variation




Variant Details

Variant: essv9000



Internal ID9631086
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr17:36630183..36646211hg38UCSC Ensembl
Outerchr17:36588163..36667448hg38UCSC Ensembl
Innerchr17:34986640..35002667hg19UCSC Ensembl
Outerchr17:34944593..35023885hg19UCSC Ensembl
Innerchr17:32060753..32076780hg18UCSC Ensembl
Outerchr17:32018706..32097998hg18UCSC Ensembl
Innerchr17:32060753..32076780hg17UCSC Ensembl
Outerchr17:32018706..32097998hg17UCSC Ensembl
Cytoband17q12
Allele length
AssemblyAllele length
hg3879286
hg1979293
hg1879293
hg1779293
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757656
Supporting Variants
SamplesNA19194
Known GenesDHRS11, GGNBP2, MRM1
MethodSNP array
AnalysisThe algorithm used to call CNVs using the 500K EA platform was developed to accurately define CNV regions using a large set of reference samples and is described in detail in a separate publication (Komura 2006). The algorithm contains three major parts: 1) Intensity pre-processing using an improved version of Genomic Imbalance Map (GIM) (Ishikawa et al. 2005), including probe selection, noise reduction, normalization, and intensity ratio adjustment based on affinity differences between alleles of a SNP, 2) CNV extraction, which identifies CNVs from all pair-wise comparisons using a modified SW-ARRAY, and 3) A copy number inference step which utilizes signal ratios and SNP information to more precisely define CNV boundaries and the copy number within each region.
PlatformAffymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP)
Comments
ReferenceRedon_et_al_2006
Pubmed ID17122850
Accession Number(s)essv9000
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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