A curated catalogue of human genomic structural variation




Variant Details

Variant: essv20460



Internal ID9618626
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr10:100463200..100496739hg38UCSC Ensembl
Outerchr10:100443314..100515885hg38UCSC Ensembl
Innerchr10:102222957..102256496hg19UCSC Ensembl
Outerchr10:102203071..102275642hg19UCSC Ensembl
Innerchr10:102212947..102246486hg18UCSC Ensembl
Outerchr10:102193061..102265632hg18UCSC Ensembl
Innerchr10:102212947..102246486hg17UCSC Ensembl
Outerchr10:102193061..102265632hg17UCSC Ensembl
Cytoband10q24.31
Allele length
AssemblyAllele length
hg3872572
hg1972572
hg1872572
hg1772572
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757407
Supporting Variants
SamplesNA06994
Known GenesSEC31B, WNT8B
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)essv20460
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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