Variant DetailsVariant: dgv2035e212 Internal ID | 20150491 | Landmark | | Location Information | | Cytoband | 8p23.1 | Allele length | Assembly | Allele length | hg38 | 1165343 | hg19 | 1165343 |
| Variant Type | CNV gain | Copy Number | | Allele State | | Allele Origin | | Probe Count | | Validation Flag | | Merged Status | M | Merged Variants | | Supporting Variants | esv3576523, esv3576522, esv3576521 | Samples | 401855RE, 401203MP, 400494ML | Known Genes | DEFB103A, DEFB103B, DEFB104A, DEFB104B, DEFB105A, DEFB105B, DEFB106A, DEFB106B, DEFB107A, DEFB107B, DEFB109P1B, DEFB4A, DEFB4B, FAM66B, FAM66E, FAM86B3P, FAM90A10P, FAM90A7P, LINC00965, MIR548I3, PRR23D1, PRR23D2, SPAG11A, SPAG11B, USP17L1P, USP17L3, USP17L4, USP17L8, ZNF705B, ZNF705G | Method | SNP array | Analysis | We used four separate algorithms to detect CNVs; Affymetrix Chromosome Analysis Suite (ChAS), iPattern, Nexus and Partek. Our primary analysis was performed based on ChAS CNV calls, which were then supported using the remaining three algorithms to construct a confidence set of CNVs. For all algorithms, we have used 8 probes and >1kb as a base line cutoff for CNV detection. | Platform | Affymetrix CytoScan HD 2.7M array | Comments | | Reference | Uddin_et_al_2014 | Pubmed ID | 25503493 | Accession Number(s) | dgv2035e212
| Frequency | Sample Size | 873 | Observed Gain | 3 | Observed Loss | 0 | Observed Complex | 0 | Frequency | n/a |
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