Single-cell multiomic mapping of genetic predisposition to childhood B-cell acute lymphoblastic le

Study metadata and authors

The entry is a bioRxiv preprint titled “Single-cell multiomic mapping of genetic predisposition to childhood B-cell acute lymphoblastic leukemia” (doi: 10.64898/2026.08.06.743308). The preprint lists a multi-author team led by Andrew J Lee, Anna-Lena Neehus, and Lara Wahlster, with contributing authors from Boston Children’s Hospital and additional institutions including the University of Southern California and City of Hope. Correspondence is provided for Vijay G. Sankaran at sankaran@broadinstitute.org.

The bioRxiv record includes typical components such as an abstract link, supplementary material, article history, and a preview PDF. However, the content provided here did not include the manuscript abstract or the body of the article.

Preprint status and DOI

This work is posted as a preprint on bioRxiv and explicitly noted as not peer reviewed. The DOI for the preprint is 10.64898/2026.08.06.743308. As with all preprints, findings and interpretations should be considered preliminary until they undergo peer review and formal publication.

Research focus: single-cell multiomic mapping and B-ALL genetic predisposition

The title identifies the central focus of the study as mapping genetic predisposition to childhood B-cell acute lymphoblastic leukemia (B-ALL) using single-cell and multiomic approaches. From the title alone, the implied objectives include linking inherited genetic variation to cell-type–specific molecular states in the developing or malignant B-cell lineage using integrated single-cell assays that measure multiple molecular modalities. The source text available here does not provide details about which single-cell modalities were used (for example, transcriptomics, chromatin accessibility, or genotyping), nor does it specify the tissues, ages, cohorts, or sample sizes studied.

Available resources and links

The bioRxiv page referenced in the source includes navigation and links to the following items (as listed on the preprint page): the article abstract, supplementary material, article info/history, metrics, and a preview PDF of the full manuscript. These resources may contain the experimental methods, datasets, analyses, and results; however, those contents were not included in the source text provided for this rewrite.

Missing details and limitations of the provided source

The supplied source content is limited to the preprint header and author/affiliation metadata. Critical elements that are not present in the provided text include:

• The abstract text summarizing background, methods, results, and conclusions.
• Experimental design and methods: sample selection, single-cell platforms, multiomic assay types, sequencing or measurement depth, and quality-control criteria.
• Analytical approaches: variant calling or genotype-to-cell mapping strategies, integration methods for multiomic data, statistical models, and computational pipelines.
• Quantitative results: numbers of samples or cells analyzed, effect sizes, associations between specific genetic variants and cell states, or measures of significance.
• Biological or clinical conclusions and stated implications for B-ALL predisposition, screening, or potential interventions.

Because these items were not present in the provided content, no study-specific findings, data points, or clinical recommendations can be reported or interpreted from this source alone.

Implications and recommended next steps

From the metadata and title, the study likely aims to advance understanding of how inherited genetic variation influences cell-type–specific molecular programs related to childhood B-ALL by applying single-cell and multiomic profiling. However, readers and clinicians should consider the following cautions and actions given the absence of reported details in the provided source text:

• Treat all interpretations as preliminary because the work is a preprint and not yet peer reviewed.
• Consult the full bioRxiv preprint PDF and supplementary materials for complete methods, results, and author conclusions before applying any findings to research or clinical contexts.
• Look for subsequent peer-reviewed publication or author updates that provide validated analyses, reproducible code, and accessible datasets.
• If using this preprint to inform research planning, request or review the full dataset and analytic pipelines to ensure reproducibility and appropriate statistical power.

Note on source limitations

This summary is strictly constrained to the information present in the provided bioRxiv header and metadata. Specific experimental details, results, or conclusions from the study were not available in the supplied source text and therefore are not reported here. For a full evaluation of the study’s methods and findings, consult the preprint PDF and supplementary files linked on the bioRxiv page.