Variant Details

Variant: essv19875

Internal ID

9956985

Landmark

Location Information

Type	Coordinates	Assembly	Other Links
Inner	chr4:87748236..87751573	hg38	UCSC Ensembl
Outer	chr4:87747429..87794172	hg38	UCSC Ensembl
Inner	chr4:88669388..88672725	hg19	UCSC Ensembl
Outer	chr4:88668581..88715324	hg19	UCSC Ensembl
Inner	chr4:88888412..88891749	hg18	UCSC Ensembl
Outer	chr4:88887605..88934348	hg18	UCSC Ensembl
Inner	chr4:89026567..89029904	hg17	UCSC Ensembl
Outer	chr4:89025760..89072503	hg17	UCSC Ensembl

Cytoband

4q22.1

Allele length

Assembly	Allele length
hg38	46744
hg19	46744
hg18	46744
hg17	46744

Variant Type

CNV loss

Copy Number

Allele State

Allele Origin

Probe Count

Validation Flag

Merged Status

Merged Variants

esv2757072

Supporting Variants

Samples

NA11881

Known Genes

Method

SNP array

Analysis

The 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.

Platform

Affymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP)

Comments

Reference

Redon_et_al_2006

Pubmed ID

17122850

Accession Number(s)

essv19875

Frequency

Sample Size	270
Observed Gain	0
Observed Loss	1
Observed Complex	0
Frequency	n/a