A curated catalogue of human genomic structural variation




Variant Details

Variant: essv23629



Internal ID9622146
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr19:43176754..43231102hg38UCSC Ensembl
Outerchr19:43166443..43290001hg38UCSC Ensembl
Innerchr19:43680906..43735254hg19UCSC Ensembl
Outerchr19:43670595..43794153hg19UCSC Ensembl
Innerchr19:48372746..48427094hg18UCSC Ensembl
Outerchr19:48362435..48485993hg18UCSC Ensembl
Innerchr19:48372746..48427094hg17UCSC Ensembl
Outerchr19:48362435..48485993hg17UCSC Ensembl
Cytoband19q13.31
Allele length
AssemblyAllele length
hg38123559
hg19123559
hg18123559
hg17123559
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757697
Supporting Variants
SamplesNA07055
Known GenesLOC284344, PSG4, PSG5, PSG9
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)essv23629
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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