Variant DetailsVariant: esv3569923 | Internal ID | 18698121 | | Landmark | | | Location Information | | | Cytoband | 5p15.32 | | Allele length | | Assembly | Allele length | | hg38 | 7409 | | hg19 | 7409 |
| | Variant Type | CNV loss | | Copy Number | | | Allele State | | | Allele Origin | | | Probe Count | | | Validation Flag | | | Merged Status | M | | Merged Variants | dgv1566e212 | | Supporting Variants | essv9773897, essv9773885, essv9773895, essv9773901, essv9773899, essv9773896, essv9773888, essv9773887, essv9773891, essv9773898, essv9773893, essv9773890, essv9773894, essv9773886, essv9773902, essv9773883, essv9773892, essv9773884 | | Samples | 401503MJ, 400730SH, 401434VN, 400438DB, 400733SW, 401785MJ, 400615RI, 401397WN, 400977SC, 400886MP, 400047DS, 400854SG, 401919MD, 401112LG, 400430KV, 400525MR, 400508RD, 400801HS | | Known Genes | | | 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) | esv3569923
| | Frequency | | Sample Size | 873 | | Observed Gain | 0 | | Observed Loss | 18 | | Observed Complex | 0 | | Frequency | n/a |
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