Editors’ note: The original publication requires correction of some data and data analysis elements. The deficiencies in the original publication have been raised as issues by Rushton et al1 and acknowledged in a response by Dave2 that also addresses other points of contention. This erratum corrects data presentation and data analyses and provides a more complete explanation of methods. The Blood editors thank the correspondents for drawing the concerns to Blood’s attention and thank Dave and colleagues for correcting the scientific record.
The original article contains 2 errors. First, while the genetic drivers were derived entirely from whole-genome sequencing, the authors used whole-exome sequencing and RNA sequencing data to confirm the presence of already identified genetic drivers in other patients in their study. This was not fully clarified previously and is now described in the updated supplemental File 1, available in the online version of this erratum. Second, an additional error that led to the same variant being counted twice was discovered in the merging of data in some cases. These errors are described in 2 new supplemental files, supplemental File 2 (which corrects supplemental File 2 in the original article) and supplemental File 3 (which contains updated analyses, verification of findings, and comments), which include the reanalyzed results after removal of the errors. The described genetic drivers and trends in the data remain unchanged.
Supplementary Material
References
- 1.Rushton CK, Dreval K, Morin RD. Concerning data inconsistencies in Burkitt lymphoma genome study. Blood. 2023;142(10):933–936. doi: 10.1182/blood.2022016505. [DOI] [PubMed] [Google Scholar]
- 2.Dave SS. Burkitt lymphoma genomic discovery studies, drivers, and validation. Blood. 2023;142(10):936–938. doi: 10.1182/blood.2022018865. [DOI] [PubMed] [Google Scholar]
Associated Data
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