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. Author manuscript; available in PMC: 2020 Dec 24.
Published in final edited form as: Nature. 2020 Jun 24;584(7819):136–141. doi: 10.1038/s41586-020-2430-6

Extended Data Figure 9: Tendencies of CN-LOH mutations to modify polygenic scores for 29 blood cell parameters.

Extended Data Figure 9:

For each blood count parameter and each chromosome arm, the heatmap reports the z-score for the mean change in polygenic score across all CN-LOH mutations detected on the arm. Among the 29 blood count parameters we considered, some of the parameters corresponding to abundances of blood cell types might be surrogates for enhanced cellular fitness (in many cases of mitotic progenitors rather than the cell types themselves). Other parameters reflect cell size or morphology. Effects of CN-LOH mutations on polygenic scores for these parameters may reflect the production of abnormal cells by biologically altered stem cells, rather than cellular fitness itself (which may be a property of the unobserved hematopoietic stem cells). Columns: platelet count and crit (PLT#, Pct); red blood cell count (RBC#), hemoglobin (Hgb), and hematocrit (Hct) (both strongly correlated with RBC#); reticulocyte count and percent (RET#, RET%); high light scatter reticulocyte count and percent (HLR#, HLR%); immature reticulocyte fraction (IRF); white blood cell count (WBC#); neutrophil count and percent (NEU#, NEU%); eosinophil count and percent (EOS#, EOS%); monocyte count and percent (MON#, MON%); basophil count and percent (BAS#, BAS%); lymphocyte count and percent (LYM#, LYM%); platelet distribution width (PDW), mean platelet volume (MPV), RBC distribution width (RDW), mean corpuscular volume (MCV), mean reticulocyte volume (MRV), mean sphered cell volume (MSCV), mean corpuscular hemoglobin (MCH), and mean corpuscular hemoglobin concentration (MCHC).