A curated catalogue of human genomic structural variation




Variant Details

Variant: essv24452



Internal ID9623061
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr1:31235010..31855355hg38UCSC Ensembl
Outerchr1:31209533..32000730hg38UCSC Ensembl
Innerchr1:31707857..32320956hg19UCSC Ensembl
Outerchr1:31682380..32466331hg19UCSC Ensembl
Innerchr1:31480444..32093543hg18UCSC Ensembl
Outerchr1:31454967..32238918hg18UCSC Ensembl
Innerchr1:31376950..31990049hg17UCSC Ensembl
Outerchr1:31351473..32135424hg17UCSC Ensembl
Cytoband1p35.1
Allele length
AssemblyAllele length
hg38791198
hg19783952
hg18783952
hg17783952
Variant TypeCNV loss
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2756841
Supporting Variants
SamplesNA12865
Known GenesBAI2, COL16A1, FABP3, HCRTR1, LOC149086, LOC284551, MIR4254, NKAIN1, PEF1, PTP4A2, SERINC2, SNRNP40, SPOCD1, TINAGL1, ZCCHC17
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)essv24452
Frequency
Sample Size270
Observed Gain0
Observed Loss1
Observed Complex0
Frequencyn/a


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