Fig. 1: Identification of ancestry-associated genetic dependencies. | Nature Communications

Fig. 1: Identification of ancestry-associated genetic dependencies.

From: Germline variation contributes to false negatives in CRISPR-based experiments with varying burden across ancestries

Fig. 1

a Schematic describing the methodology for identifying ancestry-associated genetic dependencies. b Local ancestry assignments for 994 cancer cell lines. The genomic fraction corresponding to one of five major continental ancestry groups (African, American, East Asian, European, or South Asian) is indicated. Cell lines whose genome is comprised >80% of a single ancestry group are denoted as being of the given ancestry group (African [n = 41], American [n = 0], East Asian [n = 300], European [n = 607], South Asian [n = 4]), otherwise the cell line is denoted as being Admixed [n = 42]. Raw data are described in Source Data 1B. c Statistical power for detecting ancestry-associated dependencies for each ancestry group. Raw data are described in Source Data 1C. d Associations between ancestry and Chronos scores. For each gene, cell lines were binned by local ancestry at the transcription start site. The association between ancestry and dependency on the gene in question was computed with linear regression with correction for cancer lineage as a covariate. Associations with false discovery rate (FDR) q-values of <0.05 (dashed line) were called as significant association between ancestry and dependency on the gene in question. Raw data are described in Source Data 1D. e Total numbers of putatively significant ancestry-associated genetic dependencies for each major ancestry group. AFR African, AMR American, EAS East Asian, EUR European, SAS South Asian. Raw data are described in Source Data 1E.

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