Distinguish between Origins of Genomic Abnormalities
Informed interpretation based on analysis of a matching number of edited cells becomes possible via a side-by-side comparison. Low-frequency aneuploidies, for example, are assessed for statistical significance to determine the variance from the baseline sample. All cell handling and editing processes can cause structural variants. By comparing data from loci proximal to edit sites it becomes possible to distinguish between different origins of genomic abnormalities, such as the editing process itself, culture expansion, random chance, or abnormalities which were pre-existing.