A curated catalogue of human genomic structural variation




Variant Details

Variant: essv20858



Internal ID9619067
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr8:12362740..12389632hg38UCSC Ensembl
Outerchr8:12130268..12559174hg38UCSC Ensembl
Innerchr8:12220249..12247141hg19UCSC Ensembl
Outerchr8:11987777..12416683hg19UCSC Ensembl
Innerchr8:12264620..12291512hg18UCSC Ensembl
Outerchr8:12025186..12461054hg18UCSC Ensembl
Innerchr8:12264620..12291512hg17UCSC Ensembl
Outerchr8:12025186..12461054hg17UCSC Ensembl
Cytoband8p23.1
Allele length
AssemblyAllele length
hg38428907
hg19428907
hg18435869
hg17435869
Variant TypeCNV loss
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757259
Supporting Variants
SamplesNA11829
Known GenesDEFB109P1, DEFB130, FAM66A, FAM66D, FAM86B1, FAM86B2, FAM90A25P, FAM90A2P, LOC100133267, LOC100506990, LOC649352, LOC729732, USP17L2, USP17L7
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)essv20858
Frequency
Sample Size270
Observed Gain0
Observed Loss1
Observed Complex0
Frequencyn/a


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