A curated catalogue of human genomic structural variation




Variant Details

Variant: esv2761041



Internal ID10377348
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr6:103270274..103338720hg38UCSC Ensembl
Innerchr6:103718149..103786595hg19UCSC Ensembl
Innerchr6:103824842..103893288hg18UCSC Ensembl
Cytoband6q16.3
Allele length
AssemblyAllele length
hg3868447
hg1968447
hg1868447
Variant TypeCNV gain+loss
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusM
Merged Variants
Supporting Variantsessv7014171, essv7014170, essv7014157, essv7014207, essv7014193, essv7014187, essv7014211, essv7014161, essv7014180, essv7014186, essv7014209, essv7014188, essv7014221, essv7014160, essv7014182, essv7014192, essv7014168, essv7014224, essv7014164, essv7014226, essv7014206, essv7014158, essv7014198, essv7014174, essv7014183, essv7014154, essv7014185, essv7014214, essv7014222, essv7014191, essv7014203, essv7014177, essv7014172, essv7014200, essv7014181, essv7014213, essv7014155, essv7014165, essv7014176, essv7014219, essv7014220, essv7014169, essv7014217, essv7014194, essv7014173, essv7014202, essv7014195, essv7014215, essv7014175, essv7014197, essv7014159, essv7014184, essv7014225, essv7014208, essv7014196, essv7014210, essv7014205, essv7014218, essv7014204, essv7014162, essv7014179, essv7014216, essv7014199, essv7014166, essv7014163
SamplesRW_0169, RW_0635, RW_0237, RW_0203, RW_0591, RW_0526, RW_0046, RW_0196, RW_0345, RW_0359, RW_0152, RW_0104, RW_0187, RW_0168, RW_0243, RW_0330, RW_0226, RW_0658, RW_0319, RW_0217, RW_0640, RW_0179, RW_0334, RW_0241, RW_0100, RW_0003, RW_0112, RW_0161, RW_0111, RW_0519, RW_0272, RW_0173, RW_0103, RW_0221, RW_0552, RW_0286, RW_0002, RW_0655, RW_0054, RW_0250, RW_0664, RW_0222, RW_0020, RW_0633, RW_0212, RW_0571, RW_0193, RW_0276, RW_0053, RW_0231, RW_0078, RW_0521, RW_0073, RW_0622, RW_0507, RW_0220, RW_0662, RW_0599, RW_0183, RW_0070, RW_0652, RW_0033, RW_0144, RW_0167, RW_0213
Known Genes
MethodMerging
AnalysisTwo different algorithms (PennCNV and Birdseye) were applied to detect CNVs. Only congruent CNV events regarding direction of effect that were detected by both algorithms were merged using the outer borders of the event in a first step. In a second step only CNVs that were detected in at least two individuals were merged into a CNVR.
PlatformMerging
Comments
ReferenceVogler_et_al_2010
Pubmed ID21179565
Accession Number(s)esv2761041
Frequency
Sample Size1109
Observed Gain5
Observed Loss60
Observed Complex0
Frequencyn/a


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