FigureĀ 3.
Concordance between WES and WGS predictions for the SCCRIP study. For the 396 patients with SCD enrolled in the SCCRIP study, machine learning increased the overall concordance rates between WES- and WGS-predicted RH genotypes from 90.3% for RHD and 96.3% for RHCE (A) to 97.2% for RHD, 98.2% for RHCE (B). The number and percentage of concordant alleles and various types of discordant alleles are shown in parentheses.

Concordance between WES and WGS predictions for the SCCRIP study. For the 396 patients with SCD enrolled in the SCCRIP study, machine learning increased the overall concordance rates between WES- and WGS-predicted RH genotypes from 90.3% for RHD and 96.3% for RHCE (A) to 97.2% for RHD, 98.2% for RHCE (B). The number and percentage of concordant alleles and various types of discordant alleles are shown in parentheses.

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