Red cell antigen testing

Targeted exome sequencing defines novel and rare variants in complex blood group serology cases for a red blood cell reference laboratory setting

BACKGROUND

We previously demonstrated that targeted exome sequencing accurately defined blood group genotypes for reference panel samples characterized by serology and single-nucleotide polymorphism (SNP) genotyping. Here we investigate the application of this approach to resolve problematic serology and SNP-typing cases.

STUDY DESIGN AND METHODS

The TruSight One sequencing panel and MiSeq platform was used for sequencing. CLC Genomics Workbench software was used for data analysis of the blood group genes implicated in the serology and SNP-typing problem. Sequence variants were compared to public databases listing blood group alleles. The effect of predicted amino acid changes on protein function for novel alleles was assessed using SIFT and PolyPhen-2.

RESULTS

Among 29 unresolved samples, sequencing defined SNPs in blood group genes consistent with serologic observation: 22 samples exhibited SNPs associated with varied but known blood group alleles and one sample exhibited a chimeric RH genotype. Three samples showed novel variants in the CROM, LAN, and RH systems, respectively, predicting respective amino acid changes with possible deleterious impact. Two samples harbored rare variants in the RH and FY systems, respectively, not previously associated with a blood group allele or phenotype. A final sample comprised a rare variant within the KLF1 transcription factor gene that may modulate DNA-binding activity.

CONCLUSION

Targeted exome sequencing resolved complex serology problems and defined both novel blood group alleles (CD55:c.203G>A, ABCB6:c.1118_1124delCGGATCG, ABCB6:c.1656-1G>A, and RHD:c.452G>A) and rare variants on blood group alleles associated with altered phenotypes. This study illustrates the utility of exome sequencing, in conjunction with serology, as an alternative approach to resolve complex cases.

Evaluation of targeted exome sequencing for 28 protein-based blood group systems, including the homologous gene systems, for blood group genotyping

BACKGROUND

Blood group single nucleotide polymorphism genotyping probes for a limited range of polymorphisms. This study investigated whether massively parallel sequencing (also known as next-generation sequencing), with a targeted exome strategy, provides an extended blood group genotype and the extent to which massively parallel sequencing correctly genotypes in homologous gene systems, such as RH and MNS.

STUDY DESIGN AND METHODS

Donor samples (n = 28) that were extensively phenotyped and genotyped using single nucleotide polymorphism typing, were analyzed using the TruSight One Sequencing Panel and MiSeq platform. Genes for 28 protein-based blood group systems, GATA1, and KLF1 were analyzed. Copy number variation analysis was used to characterize complex structural variants in the GYPC and RH systems.

RESULTS

The average sequencing depth per target region was 66.2 ± 39.8. Each sample harbored on average 43 ± 9 variants, of which 10 ± 3 were used for genotyping. For the 28 samples, massively parallel sequencing variant sequences correctly matched expected sequences based on single nucleotide polymorphism genotyping data. Copy number variation analysis defined the Rh C/c alleles and complex RHD hybrids. Hybrid RHD*D-CE-D variants were correctly identified, but copy number variation analysis did not confidently distinguish between D and CE exon deletion versus rearrangement.

CONCLUSION

The targeted exome sequencing strategy employed extended the range of blood group genotypes detected compared with single nucleotide polymorphism typing. This single-test format included detection of complex MNS hybrid cases and, with copy number variation analysis, defined RH hybrid genes along with the RHCE*C allele hitherto difficult to resolve by variant detection. The approach is economical compared with whole-genome sequencing and is suitable for a red blood cell reference laboratory setting.