A curated catalogue of human genomic structural variation




Variant Details

Variant: essv22693



Internal ID9621106
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr6:167212381..167356911hg38UCSC Ensembl
Outerchr6:167187105..167776053hg38UCSC Ensembl
Innerchr6:167625869..167770399hg19UCSC Ensembl
Outerchr6:167600593..168176733hg19UCSC Ensembl
Innerchr6:167545859..167690389hg18UCSC Ensembl
Outerchr6:167520583..167919582hg18UCSC Ensembl
Innerchr6:167596280..167740810hg17UCSC Ensembl
Outerchr6:167571004..167995289hg17UCSC Ensembl
Cytoband6q27
Allele length
AssemblyAllele length
hg38588949
hg19576141
hg18399000
hg17424286
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757201
Supporting Variants
SamplesNA12004
Known GenesTCP10, TTLL2, UNC93A
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)essv22693
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


Hosted by The Centre for Applied Genomics
Grant support for DGV
Please read the usage disclaimer