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The thalassemias are compelling targets for therapeutic genome editing in part because monoallelic correction of a subset of hematopoietic stem cells (HSCs) would be sufficient for enduring disease amelioration. A primary challenge is the development of efficient repair strategies that are effective in HSCs. Here, we demonstrate that allelic disruption of aberrant splice sites, one of the major classes of thalassemia mutations, is a robust approach to restore gene function. We target the IVS1-110G>A mutation using Cas9 ribonucleoprotein (RNP) and the IVS2-654C>T mutation by Cas12a/Cpf1 RNP in primary CD34+ hematopoietic stem and progenitor cells (HSPCs) from ß-thalassemia patients. Each of these nuclease complexes achieves high efficiency and penetrance of therapeutic edits. Erythroid progeny of edited patient HSPCs show reversal of aberrant splicing and restoration of ß-globin expression. This strategy could enable correction of a substantial fraction of transfusion-dependent ß-thalassemia genotypes with currently available gene-editing technology.

Biological interpretation of genome-wide association study data frequently involves assessing whether SNPs linked to a biological process, for example, binding of a transcription factor, show unsigned enrichment for disease signal. However, signed annotations quantifying whether each SNP allele promotes or hinders the biological process can enable stronger statements about disease mechanism. We introduce a method, signed linkage disequilibrium profile regression, for detecting genome-wide directional effects of signed functional annotations on disease risk. We validate the method via simulations and application to molecular quantitative trait loci in blood, recovering known transcriptional regulators. We apply the method to expression quantitative trait loci in 48 Genotype-Tissue Expression tissues, identifying 651 transcription factor-tissue associations including 30 with robust evidence of tissue specificity. We apply the method to 46 diseases and complex traits (average n= 290 K), identifying 77 annotation-trait associations representing 12 independent transcription factor-trait associations, and characterize the underlying transcriptional programs using gene-set enrichment analyses. Our results implicate new causal disease genes and new disease mechanisms. Signed linkage disequilibrium profile regression is a new method for detecting directional effects of genomic annotations on disease risk. The results implicate new causal disease genes and can suggest mechanisms underlying the effects of causal genes on disease.

CRISPR–Cas genome-editing nucleases hold substantial promise for developing human therapeutic applications1–6but identifying unwanted off-target mutations is important for clinical translation7. A well-validated method that can reliably identify off-targets in vivo has not been described to date, which means it is currently unclear whether and how frequently these mutations occur. Here we describe ‘verification of in vivo off-targets’ (VIVO), a highly sensitive strategy that can robustly identify the genome-wide off-target effects of CRISPR–Cas nucleases in vivo. We use VIVO and a guide RNA deliberately designed to be promiscuous to show that CRISPR–Cas nucleases can induce substantial off-target mutations in mouse livers in vivo. More importantly, we also use VIVO to show that appropriately designed guide RNAs can direct efficient in vivo editing in mouse livers with no detectable off-target mutations. VIVO provides a general strategy for defining and quantifying the off-target effects of gene-editing nucleases in whole organisms, thereby providing a blueprint to foster the development of therapeutic strategies that use in vivo gene editing.

CRISPR (clustered regularly interspaced short palindromic repeats) genome-editing experiments offer enormous potential for the evaluation of genomic loci using arrayed single guide RNAs (sgRNAs) or pooled sgRNA libraries. Numerous computational tools are available to help design sgRNAs with optimal on-target efficiency and minimal off-target potential. In addition, computational tools have been developed to analyze deep-sequencing data resulting from genome-editing experiments. However, these tools are typically developed in isolation and oftentimes are not readily translatable into laboratory-based experiments. Here, we present a protocol that describes in detail both the computational and benchtop implementation of an arrayed and/or pooled CRISPR genome-editing experiment. This protocol provides instructions for sgRNA design with CRISPOR (computational tool for the design, evaluation, and cloning of sgRNA sequences), experimental implementation, and analysis of the resulting high-throughput sequencing data with CRISPResso (computational tool for analysis of genome-editing outcomes from deep-sequencing data). This protocol allows for design and execution of arrayed and pooled CRISPR experiments in 4–5 weeks by non-experts, as well as computational data analysis that can be performed in 1–2 d by both computational and noncomputational biologists alike using web-based and/or command-line versions.

Although we have gained a wealth of knowledge from large-scale DNA sequencing studies across blood cancers, we still know little about the functional interplay of the discovered putative drivers in the generation of chronic lymphocytic leukemia (CLL) and its transformation into Richter's syndrome (RS). We have previously observed that CRISPR-Cas9 in vivoB-cell editing of common CLL loss-of-function (LOF) lesions (Atm, Trp53, Chd2, Birc3, Mga, Samhd1) can increase in vitroB cell fitness, but is not sufficient to sustain in vivoB cell survival after 12 months post-transplant.

CRISPR gene editing holds great promise to modify somatic genomes to ameliorate disease. In silico prediction of homologous sites coupled with biochemical evaluation of possible genomic off-targets may predict genotoxicity risk of individual gene editing reagents. However, standard computational and biochemical methods focus on reference genomes and do not consider the impact of genetic diversity on off-target potential. Here we developed a web application called CRISPRme that explicitly and efficiently integrates human genetic variant datasets with orthogonal genomic annotations to predict and prioritize off-target sites at scale. The method considers both single-nucleotide variants (SNVs) and indels, accounts for bona fide haplotypes, accepts spacer:protospacer mismatches and bulges, and is suitable for personal genome analyses. We tested the tool with a guide RNA (gRNA) targeting the BCL11Aerythroid enhancer that has shown therapeutic promise in clinical trials for sickle cell disease (SCD) and β-thalassemia (Frangoul et al. NEJM2021). We find that the top predicted off-target site is produced by a non-reference allele common in African-ancestry populations (rs114518452, minor allele frequency (MAF) = 4.5%) that introduces a protospacer adjacent motif (PAM) for SpCas9. We validate that SpCas9 generates indels (~9.6% frequency) and chr2 pericentric inversions in a strictly allele-specific manner in edited CD34+ hematopoietic stem/progenitor cells (HSPCs), although a high-fidelity Cas9 variant mitigates this off-target. This report illustrates how population and private genetic variants should be considered as modifiers of genome editing outcomes. We expect that variant-aware off-target assessment will be required for therapeutic genome editing efforts going forward, including both ongoing and future clinical trials, and we provide a powerful approach for comprehensive off-target prediction. CRISPRme is available at crisprme.di.univr.it.

Enhanced expression of the MYConcogene is associated with the initiation and maintenance of many human cancers, including multiple myeloma (MM). MM is a malignancy of clonal plasma cells, in which MYCderegulation is a key event in the progression from the precursor stages of monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) to symptomatic MM. Translocation and amplification of the 8q24.21 MYClocus are known mediators of MYCderegulation at premalignant stages for some patients. However, DNA and RNA sequencing of MM patients show that cases with an intact MYClocus also exhibit MYCderegulation, indicating that additional mechanisms are involved in the deregulation of MYCin MM. Here we describe a new epigenetic mechanism of transcriptional deregulation of MYCin malignant plasma cells. We show that activation of a novel non-coding regulatory region through the binding of MM-specific transcription factors (TFs) is associated with MYCdysregulation in MM.

Targeting the BCL11Aerythroid enhancer by gene editing is a promising approach to fetal hemoglobin induction for beta-hemoglobinopathies. HbF levels vary widely among individuals, suggesting potential heterogeneity in HbF responses after therapeutic intervention. We hypothesize that maximizing both gene edit frequency and HbF induction potential could promote consistently favorable clinical outcomes. Here we compared CRISPR-Cas9 endonuclease editing of the BCL11A+58 enhancer with alternative gene modification approaches, including +55 erythroid enhancer editing alone or in combination with the +58 enhancer, as well as editing targeting the HBG1/2promoter -115 BCL11A binding site and transduction by an shRNA knocking down the BCL11A transcript in erythroid precursors. We found that combined targeting of the BCL11A+58 and +55 enhancers with 3xNLS-SpCas9 and two sgRNAs resulted in the most potent HbF induction (52.4%±6.3%) of tested approaches (BCL11A+58 editing alone, 29.1%±3.9%; BCL11A+55 editing alone, 34.8±5.1%; HBG1/2promoter editing, 34.1% ±5.4%; shmiR-BCL11A, 32.2%±4.4%; mock, 7.6%±3.4%). Based on assays in bulk and single cell derived erythroid cultures and xenografted immunodeficient mice, we found that disruption of core half E-box/GATA motifs at both the +58 and +55 enhancers was associated with greatest HbF induction, whether by small indels, interstitial 3.1 kb deletion, or 3.1 kb inversion. Rare gene edited clones with alleles that only partially disrupted these motifs were associated with intermediate HbF induction phenotypes. Combined editing of BCL11A+58 and +55 enhancers was compatible with HSC self-renewal in primary and secondary xenotransplant, with intact lymphoid, myeloid and erythroid repopulation. We conducted gene-edited cell product manufacturing process development and developed conditions using a MaxCyte electroporation instrument achieving mean 97.3±1.8% gene edits and 88.9%±6.4% viability 24 hours after electroporation in 3 engineering runs at clinical scale. We obtained similar results at small-scale with plerixafor-mobilized HSPCs from sickle cell disease (SCD) donors or G-CSF mobilized PBMCs from transfusion-dependent beta-thalassemia (TDT) donors, including 94.2%±4.4%, 99.5%±0.3% and 91.8%±6.3% of gene edits in engrafting cells from NBSGW 16 week mouse bone marrow of healthy, SCD and TDT donors respectively. Off-target analyses by pooled amplicon sequencing of 601 candidate off-target sites for the +58 and +55 targeting sgRNAs, nominated by a range of computational (CRISPRme) and experimental (GUIDE-seq and ONE-seq) methods, did not identify reference genome off-target edits at a sensitivity of 0.1% allele frequency. We evaluated +58/+55 enhancer combined targeting in nonhuman primates by performing ribonucleoprotein (RNP) electroporation in rhesus macaque mobilized peripheral blood CD34+ HSPCs with autologous re-infusion following busulfan myeloablation. We observed highly efficient gene edit frequency (85.2%, 88.8% and 84.9%) and durable HbF induction (26.4%, 57.5%, and 45.9% F-cells and 12.7%, 41.9%, and 28% gamma-globin) in the peripheral blood in 3 animals at most recent recorded time point post infusion (127, 78, and 54 weeks respectively). Single colony analyses and bulk ddPCR and unidirectional sequencing demonstrated that the long-term engrafting cells displayed a similar distribution of indels, 3.1 kb deletions, and 3.1 kb inversions as the input cell products. Erythroid stress due to hydroxyurea treatment, with or without phlebotomy, was associated with substantially augmented HbF responses (to 75.9%, 88.2%, and 57.8% F-cells and 47.9%, 68%, and 35.7% gamma-globin). No hematologic or other toxicities attributable to gene editing were observed.