A curated catalogue of human genomic structural variation




Variant Details

Variant: essv975



Internal ID9631917
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr12:8190592..8239767hg38UCSC Ensembl
Outerchr12:8156837..8288219hg38UCSC Ensembl
Innerchr12:8343188..8392363hg19UCSC Ensembl
Outerchr12:8309433..8440815hg19UCSC Ensembl
Innerchr12:8234455..8283630hg18UCSC Ensembl
Outerchr12:8200700..8332082hg18UCSC Ensembl
Innerchr12:8234455..8283630hg17UCSC Ensembl
Outerchr12:8200700..8332082hg17UCSC Ensembl
Cytoband12p13.31
Allele length
AssemblyAllele length
hg38131383
hg19131383
hg18131383
hg17131383
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757488
Supporting Variants
SamplesNA18981
Known GenesFAM66C, FAM86FP, FAM90A1, ZNF705A
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)essv975
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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