Transcription factor networks disproportionately enrich for heritability of blood cell phenotypes
Most phenotype-associated genetic variants map to noncoding regulatory regions of the human genome, but their mechanisms remain elusive in most cases. We developed a highly efficient strategy, Perturb-multiome, to simultaneously profile chromatin accessibility and gene expression in single cells with CRISPR-mediated perturbation of master transcription factors (TFs). We examined the connection between TFs, accessible regions, and gene expression across the genome throughout hematopoietic differentiation. We discovered that variants within TF-sensitive accessible chromatin regions in erythroid differentiation, although representing <0.3% of the genome, show a ~100-fold enrichment for blood cell phenotype heritability, which is substantially higher than that for other accessible chromatin regions. Our approach facilitates large-scale mechanistic understanding of phenotype-associated genetic variants by connecting key cis-regulatory elements and their target genes within gene regulatory networks.
Authors
- Vijay G. Sankaran (ORCID: https://orcid.org/0000-0003-0044-443X)
- Seth Goldman (ORCID: https://orcid.org/0000-0001-5096-3778)
- Lara Wahlster (ORCID: https://orcid.org/0000-0001-8409-7580)
- M. Jones (ORCID: https://orcid.org/0000-0003-1344-5263)
- Eric S. Lander (ORCID: https://orcid.org/0000-0003-2662-4631)
- Nicole Castano
- Uma P. Arora (ORCID: https://orcid.org/0000-0002-3598-5386)
- Jorge D. Martin-Rufino (ORCID: https://orcid.org/0000-0002-7631-5442)
- Samantha Joubran (ORCID: https://orcid.org/0000-0002-4267-2492)
- Alexis Caulier (ORCID: https://orcid.org/0009-0003-1505-7085)
- Emily King (ORCID: https://orcid.org/0000-0002-0173-3172)
- Seayoung Lee
Institutions
- Broad Institute (US)
- Boston Children's Hospital (US)
- Howard Hughes Medical Institute (US)
- Harvard University (US)
- Dana-Farber Cancer Institute (US)
- Center for Systems Biology (US)
- Harvard Stem Cell Institute (US)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- Science
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1126/science.ads7951
- Citations
- 9
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 7.25