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Matosinho CGR, Silva CGR, Martins ML, Silva-Malta MCF. Next Generation Sequencing of Red Blood Cell Antigens in Transfusion Medicine: Systematic Review and Meta-Analysis. Transfus Med Rev 2024; 38:150776. [PMID: 37914611 DOI: 10.1016/j.tmrv.2023.150776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 08/11/2023] [Accepted: 09/01/2023] [Indexed: 11/03/2023]
Abstract
Molecular analysis of blood groups is important in transfusion medicine, allowing the prediction of red blood cell (RBC) antigens. Many blood banks use single nucleotide variant (SNV) based methods for blood group analysis. While this is a well-established approach, it is limited to the polymorphisms included in genotyping panels. Thus, variants that alter antigenic expression may be ignored, resulting in incorrect prediction of phenotypes. The popularization of next-generation sequencing (NGS) has led to its application in transfusion medicine, including for RBC antigens determination. The present review/meta-analysis aimed to evaluate the applicability of the NGS for the prediction of RBC antigens. A systematic review was conducted following a comprehensive literature search in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Studies were selected based on predefined criteria and evaluated using Strengthening the Reporting of Observational studies in Epidemiology guidelines. The characteristics and results of the studies were extracted and meta-analysis was performed to verify the agreement between results from standard molecular methods and NGS. Kell (rs8176058), Duffy (rs2814778, rs12078), or Kidd (rs1085396) alleles were selected as a model for comparisons. Additionally, results are presented for other blood group systems. Of the 864 eligible studies identified, 10 met the inclusion criteria and were selected for meta-analysis. The pooled concordance proportion for NGS compared to other methods ranged from 0.982 to 0.994. The sequencing depth coverage was identified as crucial parameters for the reliability of the results. Some studies reported difficulty in analyzing more complex systems, such as Rh and MNS, requiring the adoption of specific strategies. NGS is a technology capable of predicting blood group phenotypes and has many strengths such as the possibility of simultaneously analyzing hundred individuals and gene regions, and the ability to provide comprehensive genetic analysis, which is useful in the description of new alleles and a better understanding of the genetic basis of blood groups. The implementation of NGS in the routine of blood banks depends on several factors such as cost reduction, the availability of widely validated panels, the establishment of clear quality parameters and access to bioinformatics analysis tools that are easy to access and operate.
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Kim TY, Yu H, Phan MTT, Jang JH, Cho D. Application of Blood Group Genotyping by Next-Generation Sequencing in Various Immunohaematology Cases. Transfus Med Hemother 2022; 49:88-96. [PMID: 35611383 PMCID: PMC9082207 DOI: 10.1159/000517565] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 05/31/2021] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND Next-generation sequencing (NGS) technology has been recently introduced into blood group genotyping; however, there are few studies using NGS-based blood group genotyping in real-world clinical settings. In this study, we applied NGS-based blood group genotyping into various immunohaematology cases encountered in routine clinical practice. METHODS This study included 4 immunohaematology cases: ABO subgroup, ABO chimerism, antibody to a high-frequency antigen (HFA), and anti-CD47 interference. We designed a hybridization capture-based NGS panel targeting 39 blood group-related genes and applied it to the 4 cases. RESULTS NGS analysis revealed a novel intronic variant (NM_020469.3:c.29-10T>G) in a patient with an Ael phenotype and detected a small fraction of ABO*A1.02 (approximately 3-6%) coexisting with the major genotype ABO*B.01/O.01.02 in dizygotic twins. In addition, NGS analysis found a homozygous stop-gain variant (NM_004827.3:c.376C>T, p.Gln126*; ABCG2*01N.01) in a patient with an antibody to an HFA; consequently, this patient's phenotype was predicted as Jr(a-). Lastly, blood group phenotypes predicted by NGS were concordant with those determined by serology in 2 patients treated with anti-CD47 drugs. CONCLUSION NGS-based blood group genotyping can be used for identifying ABO subgroup alleles, low levels of blood group chimerism, and antibodies to HFAs. Furthermore, it can be applied to extended blood group antigen matching for patients treated with anti-CD47 drugs.
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Affiliation(s)
- Tae Yeul Kim
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - HongBi Yu
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
| | - Minh-Trang Thi Phan
- Stem Cell and Regenerative Medicine Institute, Samsung Medical Center, Seoul, Republic of Korea
| | - Ja-Hyun Jang
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Duck Cho
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Republic of Korea
- Stem Cell and Regenerative Medicine Institute, Samsung Medical Center, Seoul, Republic of Korea
- Department of Biopharmaceutical Convergence, Sungkyunkwan University, Suwon, Republic of Korea
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Abstract
Red blood cell (RBC) transfusion is one of the most frequently performed clinical procedures and therapies to improve tissue oxygen delivery in hospitalized patients worldwide. Generally, the cross-match is the mandatory test in place to meet the clinical needs of RBC transfusion by examining donor-recipient compatibility with antigens and antibodies of blood groups. Blood groups are usually an individual's combination of antigens on the surface of RBCs, typically of the ABO blood group system and the RH blood group system. Accurate and reliable blood group typing is critical before blood transfusion. Serological testing is the routine method for blood group typing based on hemagglutination reactions with RBC antigens against specific antibodies. Nevertheless, emerging technologies for blood group testing may be alternative and supplemental approaches when serological methods cannot determine blood groups. Moreover, some new technologies, such as the evolving applications of blood group genotyping, can precisely identify variant antigens for clinical significance. Therefore, this review mainly presents a clinical overview and perspective of emerging technologies in blood group testing based on the literature. Collectively, this may highlight the most promising strategies and promote blood group typing development to ensure blood transfusion safety.
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Affiliation(s)
- Hong-Yang Li
- Department of Blood Transfusion, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Kai Guo
- Department of Transfusion Medicine, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Kai Guo
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Rophina M, Pandhare K, Jadhao S, Nagaraj SH, Scaria V. BGvar: A comprehensive resource for blood group immunogenetics. Transfus Med 2021; 32:229-236. [PMID: 34897852 DOI: 10.1111/tme.12844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 11/11/2021] [Accepted: 12/01/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Blood groups form the basis of effective and safe blood transfusion. There are about 43 well-recognised human blood group systems presently known. Blood groups are molecularly determined by the presence of specific antigens on the red blood cells and are genetically determined and inherited following Mendelian principles. The lack of a comprehensive, relevant, manually compiled and genome-ready dataset of red cell antigens limited the widespread application of genomic technologies to characterise and interpret the blood group complement of an individual from genomic datasets. MATERIALS AND METHODS A range of public datasets was used to systematically annotate the variation compendium for its functionality and allele frequencies across global populations. Details on phenotype or relevant clinical importance were collated from reported literature evidence. RESULTS We have compiled the Blood Group Associated Genomic Variant Resource (BGvar), a manually curated online resource comprising all known human blood group related allelic variants including a total of 1700 International Society of Blood Transfusion approved alleles and 1706 alleles predicted and curated from literature reports. This repository includes 1682 single nucleotide variations (SNVs), 310 Insertions, Deletions (InDels) and Duplications (Copy Number Variations) and about 1360 combination mutations corresponding to 43 human blood group systems and 2 transcription factors. This compendium also encompasses gene fusion and rearrangement events occurring in human blood group genes. CONCLUSION To the best of our knowledge, BGvar is a comprehensive and a user-friendly resource with most relevant collation of blood group alleles in humans. BGvar is accessible online at URL: http://clingen.igib.res.in/bgvar/.
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Affiliation(s)
- Mercy Rophina
- Genome Informatics and Big Data, CSIR Institute of Genomics and Integrative Biology, Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India
| | - Kavita Pandhare
- Genome Informatics and Big Data, CSIR Institute of Genomics and Integrative Biology, Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India
| | - Sudhir Jadhao
- Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.,Translational Research Institute, Brisbane, Australia
| | - Shivashankar H Nagaraj
- Institute of Health and Biomedical Innovation and School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.,Translational Research Institute, Brisbane, Australia
| | - Vinod Scaria
- Genome Informatics and Big Data, CSIR Institute of Genomics and Integrative Biology, Delhi, India.,Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh, India
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Srivastava K, Fratzscher AS, Lan B, Flegel WA. Cataloguing experimentally confirmed 80.7 kb-long ACKR1 haplotypes from the 1000 Genomes Project database. BMC Bioinformatics 2021; 22:273. [PMID: 34039276 PMCID: PMC8150616 DOI: 10.1186/s12859-021-04169-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 05/04/2021] [Indexed: 12/18/2022] Open
Abstract
Background Clinically effective and safe genotyping relies on correct reference sequences, often represented by haplotypes. The 1000 Genomes Project recorded individual genotypes across 26 different populations and, using computerized genotype phasing, reported haplotype data. In contrast, we identified long reference sequences by analyzing the homozygous genomic regions in this online database, a concept that has rarely been reported since next generation sequencing data became available. Study design and methods Phased genotype data for a 80.6 kb region of chromosome 1 was downloaded for all 2,504 unrelated individuals of the 1000 Genome Project Phase 3 cohort. The data was centered on the ACKR1 gene and bordered by the CADM3 and FCER1A genes. Individuals with heterozygosity at a single site or with complete homozygosity allowed unambiguous assignment of an ACKR1 haplotype. A computer algorithm was developed for extracting these haplotypes from the 1000 Genome Project in an automated fashion. A manual analysis validated the data extracted by the algorithm. Results We confirmed 902 ACKR1 haplotypes of varying lengths, the longest at 80,584 nucleotides and shortest at 1,901 nucleotides. The combined length of haplotype sequences comprised 19,895,388 nucleotides with a median of 16,014 nucleotides. Based on our approach, all haplotypes can be considered experimentally confirmed and not affected by the known errors of computerized genotype phasing. Conclusions Tracts of homozygosity can provide definitive reference sequences for any gene. They are particularly useful when observed in unrelated individuals of large scale sequence databases. As a proof of principle, we explored the 1000 Genomes Project database for ACKR1 gene data and mined long haplotypes. These haplotypes are useful for high throughput analysis with next generation sequencing. Our approach is scalable, using automated bioinformatics tools, and can be applied to any gene. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-021-04169-6.
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Affiliation(s)
- Kshitij Srivastava
- Laboratory Services Section, Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Anne-Sophie Fratzscher
- Laboratory Services Section, Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Bo Lan
- Laboratory Services Section, Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Willy Albert Flegel
- Laboratory Services Section, Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, MD, 20892, USA.
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Adekile A, Akbulut-Jeradi N, Al Khaldi R, Fernandez MJ, Sukumaran J. Diagnosis of Sickle Cell Disease and HBB Haplotyping in the Era of Personalized Medicine: Role of Next Generation Sequencing. J Pers Med 2021; 11:jpm11060454. [PMID: 34071035 PMCID: PMC8224627 DOI: 10.3390/jpm11060454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 05/19/2021] [Accepted: 05/20/2021] [Indexed: 12/23/2022] Open
Abstract
Hemoglobin genotype and HBB haplotype are established genetic factors that modify the clinical phenotype in sickle cell disease (SCD). Current methods of establishing these two factors are cumbersome and/or prone to errors. The throughput capability of next generation sequencing (NGS) makes it ideal for simultaneous interrogation of the many genes of interest in SCD. This study was designed to confirm the diagnosis in patients with HbSS and Sβ-thalassemia, identify any ß-thal mutations and simultaneously determine the ßS HBB haplotype. Illumina Ampliseq custom DNA panel was used to genotype the DNA samples. Haplotyping was based on the alleles on five haplotype-specific SNPs. The patients studied included 159 HbSS patients and 68 Sβ-thal patients, previously diagnosed using high performance liquid chromatography (HPLC). There was considerable discordance between HPLC and NGS results, giving a false +ve rate of 20.5% with a sensitivity of 79% for the identification of Sβthal. Arab/India haplotype was found in 81.5% of βS chromosomes, while the two most common, of the 13 β-thal mutations detected, were IVS-1 del25 and IVS-II-1 (G>A). NGS is very versatile and can be deployed to simultaneously screen multiple gene loci for modifying polymorphisms, to afford personalized, evidence-based counselling and early intervention.
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Affiliation(s)
- Adekunle Adekile
- Department of Pediatrics, Faculty of Medicine, Kuwait University, P.O. Box 24923, Safat 13110, Kuwait; jalajasukumaran@hotmail
- Correspondence: ; Tel.: +965-253-194-86
| | | | - Rasha Al Khaldi
- Advanced Technology Company, Hawali 32060, Kuwait; (N.A.-J.); (R.A.); (M.J.F.)
| | | | - Jalaja Sukumaran
- Department of Pediatrics, Faculty of Medicine, Kuwait University, P.O. Box 24923, Safat 13110, Kuwait; jalajasukumaran@hotmail
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7
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Next-generation sequencing of 35 RHD variants in 16 253 serologically D- pregnant women in the Finnish population. Blood Adv 2021; 4:4994-5001. [PMID: 33057632 DOI: 10.1182/bloodadvances.2020001569] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 08/11/2020] [Indexed: 12/17/2022] Open
Abstract
Fetal RHD screening for targeted routine antenatal anti-D prophylaxis has been implemented in many countries, including Finland, since the 2010s. Comprehensive knowledge of the RHD polymorphism in the population is essential for the performance and safety of the anti-D prophylaxis program. During the first 3 years of the national screening program in Finland, over 16 000 samples from RhD- women were screened for fetal RHD; among them, 79 samples (0.5%) containing a maternal variant allele were detected. Of the detected maternal variants, 35 cases remained inconclusive using the traditional genotyping methods and required further analysis by next-generation sequencing (NGS) of the whole RHD gene to uncover the variant allele. In addition to the 13 RHD variants that have been previously reported in different populations, 8 novel variants were also detected, indicating that there is more variation of RHD in the RhD- Finnish population than has been previously known. Three of the novel alleles were identified in multiple samples; thus, they are likely specific to the original Finnish population. National screening has thus provided new information about the diversity of RHD variants in the Finnish population. The results show that NGS is a powerful method for genotyping the highly polymorphic RHD gene compared with traditional methods that rely on the detection of specific nucleotides by polymerase chain reaction amplification.
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8
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Chen H, Lv P, Liu Z, Chen W, Yao Y, Liu C, Cao Q, Zhou H. Preliminary study on the function of TMEM50A and its correlation with the RH genes. Transfus Med 2021; 31:277-285. [PMID: 33899290 DOI: 10.1111/tme.12778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 03/03/2021] [Accepted: 04/11/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES The purpose of this study was to investigate the association and impact of TMEM50A on RH genes activity and function. BACKGROUND SMP1 is located on chromosome 1p36.11 in the RH gene locus, between the RHD and RHCE gene, where its position may be linked to RH haplotypes and contribute to selective pressures regarding certain RH haplotypes. TMEM50A is encoded by the SMP1 located in the intergenic region of RH, its influence on the function of the RH genes remains unclear. METHODS The expression of TMEM50A was regulated by transfection of plasmid and siRNA in K562 cell model. Western blot and real-time PCR were used to detect possible expression changes in the RH. The ammonium transport function of cells was monitored using pH-sensitive dye, while transcriptome sequencing was used to predict the potential function of TMEM50A. RESULTS The overexpression of TMEM50A significantly up-regulated RHCE gene activity (63.56%). The inhibition of TMEM50A resulted in significantly decreased RHCE (41.82%) and RHD expression (27.35%). Compared to control group, there was no significant change in the NH4 + transport function of cells in the overexpressed TMEM50A group. Transcriptome analysis showed that TMEM50A not only affected the transcription of target gene through splicing activities, but also played a role in the development of embryonic nervous system. CONCLUSIONS TMEM50A may regulate the expression of RH gene by affecting the stability of RH mRNA through splicing function. It speculates that TMEM50A may play an important role in the development of embryonic nervous system.
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Affiliation(s)
- Hongtian Chen
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Piao Lv
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ziwei Liu
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Wanjun Chen
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yuan Yao
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Chixiang Liu
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qiong Cao
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Huayou Zhou
- Department of Blood Transfusion, Nanfang Hospital, Southern Medical University, Guangzhou, China
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9
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Dinardo CL, Oliveira TGM, Kelly S, Ashley-Koch A, Telen M, Schmidt LC, Castilho S, Melo K, Dezan MR, Wheeler MM, Johnsen JM, Nickerson DA, Jain D, Custer B, Pereira AC, Sabino EC. Diversity of variant alleles encoding Kidd, Duffy, and Kell antigens in individuals with sickle cell disease using whole genome sequencing data from the NHLBI TOPMed Program. Transfusion 2021; 61:603-616. [PMID: 33231305 DOI: 10.1111/trf.16204] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/17/2020] [Accepted: 10/18/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Genetic variants in the SLC14A1, ACKR1, and KEL genes, which encode Kidd, Duffy, and Kell red blood cell antigens, respectively, may result in weakened expression of antigens or a null phenotype. These variants are of particular interest to individuals with sickle cell disease (SCD), who frequently undergo chronic transfusion therapy with antigen-matched units. The goal was to describe the diversity and the frequency of variants in SLC14A1, ACKR1, and KEL genes among individuals with SCD using whole genome sequencing (WGS) data. STUDY DESIGN AND METHODS Two large SCD cohorts were studied: the Recipient Epidemiology and Donor Evaluation Study III (REDS-III) (n = 2634) and the Outcome Modifying Gene in SCD (OMG) (n = 640). Most of the studied individuals were of mixed origin. WGS was performed as part of the National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine (TOPMed) program. RESULTS In SLC14A1, variants included four encoding a weak Jka phenotype and five null alleles (JKnull ). JKA*01N.09 was the most common JKnull . One possible JKnull mutation was novel: c.812G>T. In ACKR1, identified variants included two that predicted Fyx (FY*X) and one corresponding to the c.-67T>C GATA mutation. The c.-67T>C mutation was associated with FY*A (FY*01N.01) in four participants. FY*X was identified in 49 individuals. In KEL, identified variants included three null alleles (KEL*02N.17, KEL*02N.26, and KEL*02N.04) and one allele predicting Kmod phenotype, all in heterozygosity. CONCLUSIONS We described the diversity and distribution of SLC14A1, ACKR1, and KEL variants in two large SCD cohorts, comprising mostly individuals of mixed ancestry. This information may be useful for planning the transfusion support of patients with SCD.
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Affiliation(s)
- Carla L Dinardo
- Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, Brazil
- Institute of Tropical Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | - Shannon Kelly
- Vitalant Research Institute, San Francisco, California, USA
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Marilyn Telen
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | | | | | | | - Marcia R Dezan
- Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, Brazil
| | - Marsha M Wheeler
- Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Jill M Johnsen
- University of Washington, Seattle, Washington, USA
- Bloodworks, Research Institute, Seattle, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Deepti Jain
- University of Washington, Seattle, Washington, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), São Paulo, Brazil
| | - Ester C Sabino
- Institute of Tropical Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
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10
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Roulis E, Schoeman E, Hobbs M, Jones G, Burton M, Pahn G, Liew YW, Flower R, Hyland C. Targeted exome sequencing designed for blood group, platelet, and neutrophil antigen investigations: Proof-of-principle study for a customized single-test system. Transfusion 2020; 60:2108-2120. [PMID: 32687227 DOI: 10.1111/trf.15945] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND Immunohematology reference laboratories provide red blood cell (RBC), platelet (PLT), and neutrophil typing to resolve complex cases, using serology and commercial DNA tests that define clinically important antigens. Broad-range exome sequencing panels that include blood group targets provide accurate blood group antigen predictions beyond those defined by serology and commercial typing systems and identify rare and novel variants. The aim of this study was to design and assess a panel for targeted exome sequencing of RBC, PLT, and neutrophil antigen-associated genes to provide a comprehensive profile in a single test, excluding unrelated gene targets. STUDY DESIGN AND METHODS An overlapping probe panel was designed for the coding regions of 64 genes and loci involved in gene expression. Sequencing was performed on 34 RBC and 17 PLT/neutrophil reference samples. Variant call outputs were analyzed using software to predict star allele diplotypes. Results were compared with serology and previous sequence genotyping data. RESULTS Average coverage exceeded 250×, with more than 94% of targets at Q30 quality or greater. Increased coverage revealed a variant in the Scianna system that was previously undetected. The software correctly predicted allele diplotypes for 99.5% of RBC blood groups tested and 100% of PLT and HNA antigens excepting HNA-2. Optimal throughput was 12 to 14 samples per run. CONCLUSION This single-test system demonstrates high coverage and quality, allowing for the detection of previously overlooked variants and increased sample throughput. This system has the potential to integrate genomic testing across laboratories within hematologic reference settings.
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Affiliation(s)
- Eileen Roulis
- Australian Red Cross Lifeblood Research and Development, Kelvin Grove, Queensland, Australia
| | - Elizna Schoeman
- Australian Red Cross Lifeblood Research and Development, Kelvin Grove, Queensland, Australia
| | - Matthew Hobbs
- Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Greg Jones
- Australian Red Cross Lifeblood Platelet and Granulocyte Reference Laboratory, Kelvin Grove, Queensland, Australia
| | - Mark Burton
- Australian Red Cross Lifeblood Platelet and Granulocyte Reference Laboratory, Kelvin Grove, Queensland, Australia
| | - Gail Pahn
- Australian Red Cross Lifeblood Platelet and Granulocyte Reference Laboratory, Kelvin Grove, Queensland, Australia
| | - Yew-Wah Liew
- Australian Red Cross Lifeblood Red Cell Reference Laboratory, Kelvin Grove, Queensland, Australia
| | - Robert Flower
- Australian Red Cross Lifeblood Research and Development, Kelvin Grove, Queensland, Australia
| | - Catherine Hyland
- Australian Red Cross Lifeblood Research and Development, Kelvin Grove, Queensland, Australia
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11
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Shih AW, Yan MTS, Elahie AL, Barty RL, Liu Y, Berardi P, Azzam M, Siddiqui R, Parvizian MK, Mcdougall T, Heddle NM, Al-Habsi KS, Goldman M, Cote J, Athale U, Verhovsek MM. Utilising red cell antigen genotyping and serological phenotyping in sickle cell disease patients to risk-stratify patients for alloimmunisation risk. Transfus Med 2020; 30:263-274. [PMID: 32432400 DOI: 10.1111/tme.12685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Revised: 03/23/2020] [Accepted: 04/25/2020] [Indexed: 01/28/2023]
Abstract
BACKGROUND Alloimmunisation and haemolytic transfusion reactions (HTRs) can occur in patients with sickle cell disease (SCD) despite providing phenotype-matched red blood cell (RBC) transfusions. Variant RBC antigen gene alleles/polymorphisms can lead to discrepancies in serological phenotyping. We evaluated differences between RBC antigen genotyping and phenotyping methods and retrospectively assessed if partial antigen expression may lead to increased risk of alloimmunisation and HTRs in SCD patients at a tertiary centre in Canada. METHODS RBC antigen phenotyping and genotyping were performed by a reference laboratory on consenting SCD patients. Patient demographic, clinical and transfusion-related data were obtained from a local transfusion registry and chart review after research ethics board approval. RESULTS A total of 106 SCD patients were enrolled, and 91% (n = 96) showed additional clinically relevant genotyping information when compared to serological phenotyping alone. FY*02N.01 (FY*B GATA-1) (n = 95; 90%) and RH variant alleles (n = 52, 49%; majority accompanied by FY*02N.01) were common, the latter with putative partial antigen expression in 25 patients. Variability in genotype-phenotype antigen prediction occurred mostly in the Rh system, notably with the e antigen (kappa: 0.17). Fifteen (14.2%) patients had a history of alloimmunisation, with five having HTR documented; no differences in clinical outcomes were found in patients with partial antigen expression. Genotype/extended-phenotype matching strategies may have prevented alloimmunisation events. CONCLUSION We show a high frequency of variant alleles/polymorphisms in the SCD population, where genotyping may complement serological phenotyping. Genotyping SCD patients before transfusion may prevent alloimmunisation and HTRs, and knowledge of the FY*02N.01 variant allele increases feasibility of finding compatible blood.
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Affiliation(s)
- Andrew W Shih
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Matthew T S Yan
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.,Medical Services and Hospital Relations, Canadian Blood Services, Vancouver, British Columbia, Canada
| | - Allahna L Elahie
- Hamilton Regional Laboratory Medicine Program, McMaster University, Hamilton, Ontario, Canada.,Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Rebecca L Barty
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada.,McMaster Centre for Transfusion Research, McMaster University, Hamilton, Ontario, Canada
| | - Yang Liu
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada.,McMaster Centre for Transfusion Research, McMaster University, Hamilton, Ontario, Canada
| | - Philip Berardi
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Innovation, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Mona Azzam
- Department of Pediatrics, Suez Canal University, Ismailia, Egypt
| | - Reda Siddiqui
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Michael K Parvizian
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada.,McMaster Centre for Transfusion Research, McMaster University, Hamilton, Ontario, Canada
| | - Tara Mcdougall
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Nancy M Heddle
- Hamilton Regional Laboratory Medicine Program, McMaster University, Hamilton, Ontario, Canada.,Department of Medicine, McMaster University, Hamilton, Ontario, Canada.,Centre for Innovation, Canadian Blood Services, Hamilton, Ontario, Canada
| | - Khalid S Al-Habsi
- Department of Blood Banks Services, Directorate General of Specialized Medical Care, Ministry of Health, Muscat, Oman
| | - Mindy Goldman
- Department of Pathology and Laboratory Medicine, University of Ottawa, Ottawa, Ontario, Canada.,Centre for Innovation, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Jacqueline Cote
- National Immunohematology Reference Laboratory, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Uma Athale
- Department of Pediatrics, McMaster University, Hamilton, Ontario, Canada
| | - Madeleine M Verhovsek
- Hamilton Regional Laboratory Medicine Program, McMaster University, Hamilton, Ontario, Canada.,Department of Medicine, McMaster University, Hamilton, Ontario, Canada.,McMaster Centre for Transfusion Research, McMaster University, Hamilton, Ontario, Canada.,Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
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12
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Fichou Y, Berlivet I, Richard G, Tournamille C, Castilho L, Férec C. Defining Blood Group Gene Reference Alleles by Long-Read Sequencing: Proof of Concept in the ACKR1 Gene Encoding the Duffy Antigens. Transfus Med Hemother 2019; 47:23-32. [PMID: 32110191 DOI: 10.1159/000504584] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 11/01/2019] [Indexed: 01/31/2023] Open
Abstract
Background In the novel era of blood group genomics, (re-)defining reference gene/allele sequences of blood group genes has become an important goal to achieve, both for diagnostic and research purposes. As novel potent sequencing technologies are available, we thought to investigate the variability encountered in the three most common alleles of ACKR1, the gene encoding the clinically relevant Duffy antigens, at the haplotype level by a long-read sequencing approach. Materials and Methods After long-range PCR amplification spanning the whole ACKR1 gene locus (∼2.5 kilobases), amplicons generated from 81 samples with known genotypes were sequenced in a single read by using the Pacific Biosciences (PacBio) single molecule, real-time (SMRT) sequencing technology. Results High-quality sequencing reads were obtained for the 162 alleles (accuracy >0.999). Twenty-two nucleotide variations reported in databases were identified, defining 19 haplotypes: four, eight, and seven haplotypes in 46 ACKR1*01, 63 ACKR1*02, and 53 ACKR1*02N.01 alleles, respectively. Discussion Overall, we have defined a subset of reference alleles by third-generation (long-read) sequencing. This technology, which provides a "longitudinal" overview of the loci of interest (several thousand base pairs) and is complementary to the second-generation (short-read) next-generation sequencing technology, is of critical interest for resolving novel, rare, and null alleles.
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Affiliation(s)
- Yann Fichou
- EFS, Inserm, Univ Brest, UMR 1078, GGB, Brest, France.,Laboratoire d'Excellence GR-Ex, Paris, France
| | | | | | - Christophe Tournamille
- Laboratoire d'Excellence GR-Ex, Paris, France.,IMRB-Inserm U955 Equipe 2 Transfusion et Maladies du Globule Rouge, EFS Ile-de-France, Créteil, France
| | | | - Claude Férec
- EFS, Inserm, Univ Brest, UMR 1078, GGB, Brest, France.,Laboratoire de Génétique Moléculaire et d'Histocompatibilité, CHU Morvan, Brest, France
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13
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Storry JR, Jöud M, Olsson ML. Automatic for the people: a rapidly evolving movement for the future of genotyping. Transfusion 2019; 59:3545-3547. [PMID: 31667851 DOI: 10.1111/trf.15561] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 10/03/2019] [Indexed: 11/30/2022]
Affiliation(s)
- Jill R Storry
- Clinical Immunology and Transfusion Medicine, Office of Medical Services, Region Skåne, Sweden.,Department of Laboratory Medicine, Division of Hematology and Transfusion Medicine, Lund University, Lund, Sweden
| | - Magnus Jöud
- Clinical Immunology and Transfusion Medicine, Office of Medical Services, Region Skåne, Sweden
| | - Martin L Olsson
- Clinical Immunology and Transfusion Medicine, Office of Medical Services, Region Skåne, Sweden.,Department of Laboratory Medicine, Division of Hematology and Transfusion Medicine, Lund University, Lund, Sweden
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14
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Abstract
PURPOSE OF REVIEW To summarize recent advances in red blood cell (RBC) blood group genotyping, with an emphasis on advances in the use of NGS next generation sequencing (NGS) to detect clinically relevant blood group gene variation. RECENT FINDINGS Genetic information is useful in predicting RBC blood group antigen expression in several clinical contexts, particularly, for patients at high-risk for allosensitization, such as multiple transfused patients. Blood group antigen expression is directed by DNA variants affecting multiply genes. With over 300 known antigens, NGS offers the attractive prospect of comprehensive blood group genotyping. Recent studies from several groups show that NGS reliably detects blood group gene single nucleotide variants (SNVs) with good correlation with other genetic methods and serology. Additionally, new custom NGS methods accurately detect complex DNA variants, including hybrid RH alleles. Thus, recent work shows that NGS detects known and novel blood group gene variants in patients, solves challenging clinical cases, and detects relevant blood group variation in donors. SUMMARY New work shows that NGS is particularly robust in identifying SNVs in blood group genes, whereas custom genomic tools can be used to identify known and novel complex structural variants, including in the RH system.
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15
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Complete RHD next-generation sequencing: establishment of reference RHD alleles. Blood Adv 2019; 2:2713-2723. [PMID: 30337299 DOI: 10.1182/bloodadvances.2018017871] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 09/13/2018] [Indexed: 12/14/2022] Open
Abstract
The Rh blood group system (ISBT004) is the second most important blood group after ABO and is the most polymorphic one, with 55 antigens encoded by 2 genes, RHD and RHCE This research uses next-generation sequencing (NGS) to sequence the complete RHD gene by amplifying the whole gene using overlapping long-range polymerase chain reaction (LR-PCR) amplicons. The aim was to study different RHD alleles present in the population to establish reference RHD allele sequences by using the analysis of intronic single-nucleotide polymorphisms (SNPs) and their correlation to a specific Rh haplotype. Genomic DNA samples (n = 69) from blood donors of different serologically predicted genotypes including R1R1 (DCe/DCe), R2R2 (DcE/DcE), R1R2 (DCe/DcE), R2RZ (DcE/DCE), R1r (DCe/dce), R2r (DcE/dce), and R0r (Dce/dce) were sequenced and data were then mapped to the human genome reference sequence hg38. We focused on the analysis of hemizygous samples, as these by definition will only have a single copy of RHD For the 69 samples sequenced, different exonic SNPs were detected that correlate with known variants. Multiple intronic SNPs were found in all samples: 21 intronic SNPs were present in all samples indicating their specificity to the RHD*DAU0 (RHD*10.00) haplotype which the hg38 reference sequence encodes. Twenty-three intronic SNPs were found to be R2 haplotype specific, and 15 were linked to R1, R0, and RZ haplotypes. In conclusion, intronic SNPs may represent a novel diagnostic approach to investigate known and novel variants of the RHD and RHCE genes, while being a useful approach to establish reference RHD allele sequences.
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16
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Abstract
Red blood cell (RBC) antigen phenotyping is an essential component of transfusion compatibility testing. Serology has been the gold standard method, but its low throughput and risk of diagnostic interference in certain situations limits its applicability. Genotyping is useful for phenotyping in these cases, providing a high-throughput and reliable alternative to serology. Genotyping is indicated in several hematology and oncology patient populations. Because genotyping requires a complex testing environment and bears an additional risk of genotype-phenotype discrepancy, its use is currently limited, but it serves as a useful adjunct and may eventually supplant serology as a new gold standard.
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Affiliation(s)
- Ronald Jackups
- Department of Pathology & Immunology, Washington University School of Medicine, 660 South Euclid Avenue #8118, St Louis, MO 63110, USA.
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17
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Lane WJ, Vege S, Mah HH, Lomas-Francis C, Aguad M, Smeland-Wagman R, Koch C, Killian JM, Gardner CL, De Castro M, Lebo MS, Kaufman RM, Green RC, Westhoff CM. Automated typing of red blood cell and platelet antigens from whole exome sequences. Transfusion 2019; 59:3253-3263. [PMID: 31392742 DOI: 10.1111/trf.15473] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 07/05/2019] [Accepted: 07/08/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Genotyping has expanded the number red blood cell (RBC) and platelet (PLT) antigens that can readily be typed, but often represents an additional testing cost. The analysis of existing genomic data offers a cost-effective approach. We recently developed automated software (bloodTyper) for determination of RBC and PLT antigens from whole genome sequencing. Here we extend the algorithm to whole exome sequencing (WES). STUDY DESIGN AND METHODS Whole exome sequencing was performed on samples from 75 individuals. WES-based bloodTyper RBC and PLT typing was compared to conventional polymerase chain reaction (PCR) RHD zygosity testing and serologic and single-nucleotide polymorphism (SNP) typing for 38 RBC antigens in 12 systems (17 serologic and 35 SNPs) and 22 PLT antigens (22 SNPs). Samples from the first 20 individuals were used to modify bloodTyper to interpret WES followed by blinded typing of 55 samples. RESULTS Over the first 20 samples, discordances were noted for C, M, and N antigens, which were due to WES-specific biases. After modification, bloodTyper was 100% accurate on blinded evaluation of the last 55 samples and outperformed both serologic (99.67% accurate) and SNP typing (99.97% accurate) reflected by two Fyb and one N serologic typing errors and one undetected SNP encoding a Jknull phenotype. RHD zygosity testing by bloodTyper was 100% concordant with a combination of hybrid Rhesus box PCR and PCR-restriction fragment length polymorphism for all samples. CONCLUSION The automated bloodTyper software was modified for WES biases to allow for accurate RBC and PLT antigen typing. Such analysis could become a routing part of future WES efforts.
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Affiliation(s)
- William J Lane
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | | | - Helen H Mah
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | - Maria Aguad
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | | | | | | | | | | | - Matthew S Lebo
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts.,Partners Personalized Medicine, Boston, Massachusetts.,Laboratory for Molecular Medicine, Boston, Massachusetts
| | - Richard M Kaufman
- Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts.,Harvard Medical School, Boston, Massachusetts
| | - Robert C Green
- Harvard Medical School, Boston, Massachusetts.,Partners Personalized Medicine, Boston, Massachusetts.,Broad Institute of MIT and Harvard, Boston, Massachusetts.,Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts
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18
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Abstract
Genomics is affecting all areas of medicine. In transfusion medicine, DNA-based genotyping is being used as an alternative to serological antibody-based methods to determine blood groups for matching donor to recipient. Most antigenic polymorphisms are due to single nucleotide polymorphism changes in the respective genes, and DNA arrays that target these changes have been validated by comparison with antibody-based typing. Importantly, the ability to test for antigens for which there are no serologic reagents is a major medical advance to identify antibodies and find compatible donor units, and can be life-saving. This review summarizes the evolving use and applications of genotyping for red cell and platelet blood group antigens affecting several areas of medicine. These include prenatal medicine for evaluating risk of fetal or neonatal disease and candidates for Rh-immune globulin; transplantation for bone marrow donor selection and transfusion support for highly alloimmunized patients and for confirmation of A2 status of kidney donors; hematology for comprehensive typing for patients with anemia requiring chronic transfusion; and oncology for patients receiving monoclonal antibody therapies that interfere with pretransfusion testing. A genomics approach allows, for the first time, the ability to routinely select donor units antigen matched to recipients for more than ABO/RhD to reduce complications. Of relevance, the growth of whole-genome sequencing in chronic disease and for general health will provide patients' comprehensive extended blood group profile as part of their medical record to be used to inform selection of the optimal transfusion therapy.
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19
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Hyland CA, Roulis EV, Schoeman EM. Developments beyond blood group serology in the genomics era. Br J Haematol 2019; 184:897-911. [PMID: 30706459 DOI: 10.1111/bjh.15747] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Blood group serology and single nucleotide polymorphism-based genotyping platforms are accurate but do not provide a comprehensive cover for all 36 blood group systems and do not cover the antigen diversity observed among population groups. This review examines the extent to which genomics is shaping blood group serology. Resources for genomics include the Human Reference Genome Sequence assembly; curated blood group tables listing variants; public databases providing information on genetic variants from world-wide studies; and massively parallel sequencing technologies. Blood group genomic studies span the spectrum, from bioinformatic data mining of huge data sets containing whole genome and whole exome information to laboratory investigations utilising targeted sequencing approaches. Blood group predictions based on genome sequencing and genomic studies are proving accurate, and have shown utility in both research and reference settings. Overall, studies confirm the potential for blood group genomics to reshape donor and patient transfusion management strategies to provide more compatible blood transfusions.
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Affiliation(s)
- Catherine A Hyland
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Eileen V Roulis
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Elizna M Schoeman
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
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20
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Schoeman EM, Roulis EV, Perry MA, Flower RL, Hyland CA. Comprehensive blood group antigen profile predictions for Western Desert Indigenous Australians from whole exome sequence data. Transfusion 2018; 59:768-778. [PMID: 30520525 DOI: 10.1111/trf.15047] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Revised: 09/17/2018] [Accepted: 09/26/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND The distribution of RBC antigens, which define blood group types, differs among populations. In contrast to many world populations, blood group profiles for Indigenous Australians have not been well studied. As it is now possible to predict comprehensive blood group antigen profiles from genomic data sets, we aimed to apply this for Indigenous Australians and to provide a comparison to other major world populations. STUDY DESIGN AND METHODS Whole exome sequence data for 72 Western Desert Indigenous Australians was provided by the Telethon Kids Institute. Variants (against hg19) were annotated using computer software (ANNOVAR, Qiagen Bioinformatics) and filtered to include only variants in genes for 36 blood group systems, and the transcription factors KLF1 and GATA1. The RHCE*C allele and RHD zygosity were identified by copy number variant analysis of sequence alignments. The impact of missense variants was investigated in silico using a meta-predictor of disease-causing variants (Meta-SNP). RESULTS For 21 blood group systems the predicted blood group antigen frequencies were comparable to those for other major world populations. For 13 systems, interesting points of contrast were identified. Furthermore, we identified 12 novel variants, one novel D allele, and four rare variants with potential clinical significance. CONCLUSION This is the first systematic assessment of genomic data to elucidate blood group antigen profiles for Indigenous Australians who are linguistically and culturally diverse. Our study paves the way to understanding the geographic distribution of blood group variants in different Indigenous groups and the associated RBC phenotypes. This in turn is expected to guide transfusion practice for Indigenous individuals.
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Affiliation(s)
- Elizna M Schoeman
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Eileen V Roulis
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Maree A Perry
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Robert L Flower
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Catherine A Hyland
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
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21
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Montemayor-Garcia C, Karagianni P, Stiles DA, Reese EM, Smellie DA, Loy DA, Levy KY, Nwokocha M, Bueno MU, Miller JL, Klein HG. Genomic coordinates and continental distribution of 120 blood group variants reported by the 1000 Genomes Project. Transfusion 2018; 58:2693-2704. [PMID: 30312480 DOI: 10.1111/trf.14953] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2017] [Revised: 06/25/2018] [Accepted: 07/13/2018] [Indexed: 01/25/2023]
Abstract
BACKGROUND The 1000 Genomes Project provides a database of genomic variants from whole genome sequencing of 2504 individuals across five continental superpopulations. This database can enrich our background knowledge of worldwide blood group variant geographic distribution and identify novel variants of potential clinical significance. STUDY DESIGN AND METHODS The 1000 Genomes database was analyzed to 1) expand knowledge about continental distributions of known blood group variants, 2) identify novel variants with antigenic potential and their geographic association, and 3) establish a baseline scaffold of chromosomal coordinates to translate next-generation sequencing output files into a predicted red blood cell (RBC) phenotype. RESULTS Forty-two genes were investigated. A total of 604 known variants were mapped to the GRCh37 assembly; 120 of these were reported by 1000 Genomes in at least one superpopulation. All queried variants, including the ACKR1 promoter silencing mutation, are located within exon pull-down boundaries. The analysis yielded 41 novel population distributions for 34 known variants, as well as 12 novel blood group variants that warrant further validation and study. Four prediction algorithms collectively flagged 79 of 109 (72%) known antigenic or enzymatically detrimental blood group variants, while 4 of 12 variants that do not result in an altered RBC phenotype were flagged as deleterious. CONCLUSION Next-generation sequencing has known potential for high-throughput and extended RBC phenotype prediction; a database of GRCh37 and GRCh38 chromosomal coordinates for 120 worldwide blood group variants is provided as a basis for this clinical application.
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Affiliation(s)
- Celina Montemayor-Garcia
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | | | - David A Stiles
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Erika M Reese
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Danielle A Smellie
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Debrean A Loy
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Kimberly Y Levy
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Magdalene Nwokocha
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Marina U Bueno
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Jeffery L Miller
- Genetics of Development and Disease Branch, NIDDK, National Institutes of Health, Bethesda, Maryland
| | - Harvey G Klein
- Department of Transfusion Medicine, NIH Clinical Center, National Institutes of Health, Bethesda, Maryland
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22
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Montemayor-Garcia C, Westhoff CM. The "next generation" reference laboratory? Transfusion 2018; 58:277-279. [PMID: 29411394 DOI: 10.1111/trf.14483] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Accepted: 12/06/2017] [Indexed: 12/15/2022]
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23
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Gassner C, Wagner FF. Optimized Antigen Matching - Chances and Challenges in Molecular Times. Transfus Med Hemother 2018; 45:216-217. [PMID: 30283269 PMCID: PMC6158590 DOI: 10.1159/000491583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 06/27/2018] [Indexed: 12/16/2022] Open
Affiliation(s)
- Christoph Gassner
- Blood Transfusion Service Zürich, Swiss Red Cross (SRC), Department of Molecular Diagnostics & Research (MOC), Schlieren, Switzerland; DRK Blutspendedienst NSTOB, Institute Springe, Springe, Germany
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24
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Jakobsen MA, Dellgren C, Sheppard C, Yazer M, Sprogøe U. The use of next-generation sequencing for the determination of rare blood group genotypes. Transfus Med 2017; 29:162-168. [PMID: 29265667 DOI: 10.1111/tme.12496] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 11/13/2017] [Accepted: 11/26/2017] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Next-generation sequencing (NGS) for the determination of rare blood group genotypes was tested in 72 individuals from different ethnicities. BACKGROUND Traditional serological-based antigen detection methods, as well as genotyping based on specific single nucleotide polymorphisms (SNPs) or single nucleotide variants (SNVs), are limited to detecting only a limited number of known antigens or alleles. NGS methods do not have this limitation. METHODS NGS using Ion torrent Personal Genome Machine (PGM) was performed with a customised Ampliseq panel targeting 15 different blood group systems on 72 blood donors of various ethnicities (Caucasian, Hispanic, Asian, Middle Eastern and Black). RESULTS Blood group genotypes for 70 of 72 samples could be obtained for 15 blood group systems in one step using the NGS assay and, for common SNPs, are consistent with previously determined genotypes using commercial SNP assays. However, particularly for the Kidd, Duffy and Lutheran blood group systems, several SNVs were detected by the NGS assay that revealed additional coding information compared to other methods. Furthermore, the NGS assay allowed for the detection of genotypes related to VEL, Knops, Gerbich, Globoside, P1PK and Landsteiner-Wiener blood group systems. CONCLUSIONS The NGS assay enables a comprehensive genotype analysis of many blood group systems and is capable of detecting common and rare alleles, including alleles not currently detected by commercial assays.
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Affiliation(s)
- M A Jakobsen
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark.,University of Southern Denmark, Odense, Denmark
| | - C Dellgren
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - C Sheppard
- Virginia Blood Services, Richmond, Virginia, USA
| | - M Yazer
- University of Southern Denmark, Odense, Denmark.,Department of Pathology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - U Sprogøe
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
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25
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Schoeman EM, Roulis EV, Liew YW, Martin JR, Powley T, Wilson B, Millard GM, McGowan EC, Lopez GH, O'Brien H, Condon JA, Flower RL, Hyland CA. Targeted exome sequencing defines novel and rare variants in complex blood group serology cases for a red blood cell reference laboratory setting. Transfusion 2017; 58:284-293. [PMID: 29119571 DOI: 10.1111/trf.14393] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2017] [Revised: 08/21/2017] [Accepted: 09/05/2017] [Indexed: 12/24/2022]
Abstract
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.
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Affiliation(s)
- Elizna M Schoeman
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Eileen V Roulis
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Yew-Wah Liew
- Red Cell Reference Laboratory, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Jacqueline R Martin
- Red Cell Reference Laboratory, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Tanya Powley
- Red Cell Reference Laboratory, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Brett Wilson
- Red Cell Reference Laboratory, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Glenda M Millard
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Eunike C McGowan
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Genghis H Lopez
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Helen O'Brien
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Jennifer A Condon
- Red Cell Reference Laboratory, Australian Red Cross Blood Service, Melbourne, Victoria, Australia
| | - Robert L Flower
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
| | - Catherine A Hyland
- Clinical Services and Research, Australian Red Cross Blood Service, Kelvin Grove, Queensland, Australia
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26
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27
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Dezan MR, Ribeiro IH, Oliveira VB, Vieira JB, Gomes FC, Franco LAM, Varuzza L, Ribeiro R, Chinoca KZ, Levi JE, Krieger JE, Pereira AC, Gualandro SFM, Rocha VG, Mendrone-Junior A, Sabino EC, Dinardo CL. RHD and RHCE genotyping by next-generation sequencing is an effective strategy to identify molecular variants within sickle cell disease patients. Blood Cells Mol Dis 2017; 65:8-15. [PMID: 28388467 DOI: 10.1016/j.bcmd.2017.03.014] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Revised: 03/21/2017] [Accepted: 03/21/2017] [Indexed: 01/03/2023]
Abstract
BACKGROUND The complexity of Rh genetic variation among sickle cell disease (SCD) patients is high. Conventional molecular assays cannot identify all genetic variants already described for the RH locus as well as foresee novel alleles. Sequencing RHD and RHCE is indicated to broaden the search for Rh genetic variants. AIMS To standardize the Next Generation Sequencing (NGS) strategy to assertively identify Rh genetic variants among SCD patients with serologic suspicion of Rh variants and evaluate if it can improve the transfusion support. METHODS Thirty-five SCD patients with unexplained Rh antibodies were enrolled. A NGS-based strategy was developed to genotype RHD and RHCE using gene-specific primers. Genotype and serological data were compared. RESULTS Data obtained from the NGS-based assay were gene-specific. Ten and 25 variant RHD and RHCE alleles were identified, respectively. Among all cases of unexplained Rh antibodies, 62% had been inaccurately classified by serological analysis and, of these, 73.1% were considered as relevant, as were associated with increased risk of hemolytic reactions and shortage of units suitable for transfusion. CONCLUSION The NGS assay designed to genotype RH coding regions was effective and accurate in identifying variants. The proposed strategy clarified the Rh phenotype of most patients, improving transfusion support.
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Affiliation(s)
- Marcia R Dezan
- Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, Brazil
| | | | | | | | | | - Lucas A M Franco
- Institute of Tropical Medicine, Department of Infectious Disease, University of São Paulo, São Paulo, Brazil
| | - Leonardo Varuzza
- Institute of Tropical Medicine, Department of Infectious Disease, University of São Paulo, São Paulo, Brazil
| | - Roberto Ribeiro
- Institute of Tropical Medicine, Department of Infectious Disease, University of São Paulo, São Paulo, Brazil
| | - Karen Ziza Chinoca
- Discipline of Hematology, University of São Paulo School of Medicine, São Paulo, Brazil
| | | | - José Eduardo Krieger
- Discipline of Hematology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Alexandre Costa Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo school of Medicine
| | - Sandra F M Gualandro
- Discipline of Hematology, University of São Paulo School of Medicine, São Paulo, Brazil
| | - Vanderson G Rocha
- Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, Brazil; Discipline of Hematology, University of São Paulo School of Medicine, São Paulo, Brazil
| | | | - Ester Cerdeira Sabino
- Institute of Tropical Medicine, Department of Infectious Disease, University of São Paulo, São Paulo, Brazil
| | - Carla Luana Dinardo
- Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, Brazil; Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo school of Medicine.
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A preliminary evaluation of next-generation sequencing as a screening tool for targeted genotyping of erythrocyte and platelet antigens in blood donors. BLOOD TRANSFUSION = TRASFUSIONE DEL SANGUE 2017; 16:285-292. [PMID: 28287381 DOI: 10.2450/2017.0253-16] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 09/08/2016] [Accepted: 11/16/2016] [Indexed: 01/11/2023]
Abstract
BACKGROUND Matching the compatibility of donor blood with the recipient's antigens prevents alloimmunisation. Next-generation sequencing (NGS) technology is a promising method for extensive blood group and platelet antigen genotyping of blood donors. It circumvents the limitations of detecting known alleles based on predefined polymorphisms and enables targeted sequencing on a massive scale. The aim of this study was to evaluate the NGS AmpliSeq application on the Ion Torrent platform as a screening tool for genotyping blood donors' erythrocyte/platelet antigens. MATERIALS AND METHODS Primers for regions encoding antigens RhD (exons 5, 7), Rhc, RhE/e, Fya/b, Jka/b, M/N, S/s, HPA-1, 2, 3, 5, 15 were designed with Ion AmpliSeq Designer with manual inclusion of RHCE*C primers. DNA libraries of 57 regular blood donors with determined phenotype/genotype (prepared using the Ion AmpliSeq Library Kit and 14 primer pairs) were sequenced on the Ion Torrent PGM using 316v2 chips and 200 bp chemistry. RESULTS Sequencing was successful in all but the MN and HPA-5 regions. Mean sequencing coverage in one experiment was 4,606 reads, except for the RHCE*C region (mean 568 reads). NGS results agreed with the known phenotype/genotype of donors except in one phenotypically Fy(a+b-) case in whom FY*A/FY*B alleles were found. Reading rates for homozygotes were 97-100%, while they were around 50% for heterozygotes. NGS of RHD regions led to identification of mutations in two RhD negative donors. DISCUSSION NGS can be performed as a screening test to determine erythrocyte/platelet antigens in blood donors. This method allowed testing of 48 donors for 14 features (200 bp long) with the depth of a few thousand reads simultaneously, and the estimation of natural chimerism or hemi/homozygotic status. NGS screening can be adjusted to the genetic background of a given tested population.
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