A curated catalogue of human genomic structural variation




Variant Details

Variant: essv6069



Internal ID9627828
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr1:225477992..225488628hg38UCSC Ensembl
Outerchr1:225477992..225503797hg38UCSC Ensembl
Innerchr1:225665694..225676330hg19UCSC Ensembl
Outerchr1:225665694..225691499hg19UCSC Ensembl
Innerchr1:223732317..223742953hg18UCSC Ensembl
Outerchr1:223732317..223758122hg18UCSC Ensembl
Innerchr1:221972429..221983065hg17UCSC Ensembl
Outerchr1:221972429..221998234hg17UCSC Ensembl
Cytoband1q42.12
Allele length
AssemblyAllele length
hg3825806
hg1925806
hg1825806
hg1725806
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2756886
Supporting Variants
SamplesNA18621
Known GenesENAH
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)essv6069
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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