Scripts and supplementary files for the manuscript:
"Human genetics implicates a BACH2-NRF2 axis in fetal hemoglobin activation"
Preprint: https://www.medrxiv.org/content/10.1101/2023.03.24.23287659v3
- Overview
- Repository structure
StatGen_analysis/— Statistical genetics (meta-GWAS, fine-mapping, heritability, genetic correlation)SCAVENGE_analysis/— Trait-relevant cell-type enrichment from scATAC-seqBulkRNAseq_analysis/— Bulk RNA-seq processing and differential expressionCUTRUN_analysis/— CUT&RUN chromatin profiling (BACH2 and NRF2 binding)
The analyses in this repository support the identification of a BACH2–NRF2 regulatory axis controlling fetal hemoglobin (HbF) expression. The workflow broadly proceeds as follows:
- Statistical genetics — Meta-GWAS, fine-mapping, and heritability/genetic-correlation analyses identify and characterize HbF-associated loci, implicating BACH2.
- SCAVENGE — Propagates fine-mapped GWAS variant scores across a bone marrow scATAC-seq cell graph to identify the hematopoietic cell types most relevant to HbF regulation.
- Bulk RNA-seq — Characterizes transcriptional changes upon BACH2 knockdown, highlighting upregulation of fetal globin genes (HBG1/HBG2).
- CUT&RUN — Maps BACH2 and NRF2 occupancy genome-wide in erythroid cells, linking GWAS variants to regulatory elements.
| Directory | Description |
|---|---|
StatGen_analysis/ |
Meta-GWAS, COJO fine-mapping, SNP heritability estimation, and genetic correlation analyses |
SCAVENGE_analysis/ |
Per-cell trait relevance scoring using SCAVENGE on Granja 2019 bone marrow scATAC-seq data |
BulkRNAseq_analysis/ |
STAR alignment, featureCounts quantification, and DESeq2 differential expression for BACH2-sh2 vs. scramble control |
CUTRUN_analysis/ |
End-to-end CUT&RUN pipeline: trimming, spike-in normalization, hg38 alignment, peak calling, bigWig tracks, and FIMO motif scanning |