<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Cancellieri S</submitter><funding>Doris Duke Charitable Foundation</funding><funding>Burroughs Wellcome Fund</funding><funding>NHLBI NIH HHS</funding><funding>St. Jude Children’s Research Hospital</funding><funding>NHGRI NIH HHS</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Heart, Lung, and Blood Institute</funding><funding>U.S. Department of Health &amp;amp; Human Services | NIH | National Human Genome Research Institute</funding><pagination>34-43</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10272994</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>55(1)</volume><pubmed_abstract>CRISPR gene editing holds great promise to modify DNA sequences in somatic cells to treat disease. However, standard computational and biochemical methods to predict off-target potential focus on reference genomes. We developed an efficient tool called CRISPRme that considers single-nucleotide polymorphism (SNP) and indel genetic variants to nominate and prioritize off-target sites. We tested the software with a BCL11A enhancer targeting guide RNA (gRNA) showing promise in clinical trials for sickle cell disease and β-thalassemia and found that the top candidate off-target is produced by an allele common in African-ancestry populations (MAF 4.5%) that introduces a protospacer adjacent motif (PAM) sequence. We validated that SpCas9 generates strictly allele-specific indels and pericentric i</pubmed_abstract><journal>Nature genetics</journal><pubmed_title>Human genetic diversity alters off-target outcomes of therapeutic gene editing.</pubmed_title><pmcid>PMC10272994</pmcid><funding_grant_id>R35 HG010717</funding_grant_id><funding_grant_id>P01HL053749</funding_grant_id><funding_grant_id>P01 HL053749</funding_grant_id><funding_grant_id>OT2 HL154984</funding_grant_id><funding_grant_id>RM1 HG009490</funding_grant_id><funding_grant_id>R35HG010717</funding_grant_id><funding_grant_id>RM1HG009490</funding_grant_id><funding_grant_id>OT2HL154984</funding_grant_id><pubmed_authors>Giugno R</pubmed_authors><pubmed_authors>Pinello L</pubmed_authors><pubmed_authors>Armant M</pubmed_authors><pubmed_authors>Nguyen MA</pubmed_authors><pubmed_authors>Wolfe SA</pubmed_authors><pubmed_authors>Bauer DE</pubmed_authors><pubmed_authors>Bombieri N</pubmed_authors><pubmed_authors>Cancellieri S</pubmed_authors><pubmed_authors>Katta V</pubmed_authors><pubmed_authors>Tognon M</pubmed_authors><pubmed_authors>Lin LY</pubmed_authors><pubmed_authors>Zeng J</pubmed_authors><pubmed_authors>Tsai SQ</pubmed_authors><pubmed_authors>Lin J</pubmed_authors><pubmed_authors>Ciuculescu MF</pubmed_authors><pubmed_authors>Maitland SA</pubmed_authors></additional><is_claimable>false</is_claimable><name>Human genetic diversity alters off-target outcomes of therapeutic gene editing.</name><description>CRISPR gene editing holds great promise to modify DNA sequences in somatic cells to treat disease. However, standard computational and biochemical methods to predict off-target potential focus on reference genomes. We developed an efficient tool called CRISPRme that considers single-nucleotide polymorphism (SNP) and indel genetic variants to nominate and prioritize off-target sites. We tested the software with a BCL11A enhancer targeting guide RNA (gRNA) showing promise in clinical trials for sickle cell disease and β-thalassemia and found that the top candidate off-target is produced by an allele common in African-ancestry populations (MAF 4.5%) that introduces a protospacer adjacent motif (PAM) sequence. We validated that SpCas9 generates strictly allele-specific indels and pericentric i</description><dates><release>2023-01-01T00:00:00Z</release><publication>2023 Jan</publication><modification>2026-04-29T02:37:59.798Z</modification><creation>2024-11-09T00:25:01.848Z</creation></dates><accession>S-EPMC10272994</accession><cross_references><pubmed>36522432</pubmed><doi>10.1038/s41588-022-01257-y</doi></cross_references></HashMap>