A cold case of hemolytic disease of the fetus and newborn resolved by genomic sequencing and population studies to define a new antigen in the Rh system.

BACKGROUND: We report an obstetric case involving an RhD-positive woman who had developed a red blood cell (RBC) antibody that was not detected until after delivery of a newborn, who presented with a positive direct antiglobulin test result. Immunohematology studies suggested that the maternal antibody was directed against a low-prevalence antigen on the paternal and newborn RBCs. RESULTS: Comprehensive blood group profiling by targeted exome sequencing revealed a novel nonsynonymous single nucleotide variant (SNV) RHCE c.486C>G (GenBank MZ326705) on the RHCE*Ce allele, for both the father and newborn. A subsequent genomic-based study to profile blood groups in an Indigenous Australian population revealed the same SNV in 2 of 247 individuals. Serology testing showed that the maternal antibody reacted specifically with RBCs from these two individuals. DISCUSSION: The maternal antibody was directed against a novel antigen in the Rh blood group system arising from an RHCE c.486C>G variant on the RHCE*Ce allele linked to RHD*01. The variant predicts a p.Asn162Lys change on the RhCE protein and has been registered as the 56th antigen in the Rh system, ISBT RH 004063. CONCLUSION: This antibody was of clinical significance, resulting in a mild to moderate hemolytic disease of the fetus and newborn (HDFN). In the past, the cause of such HDFN cases may have remained unresolved. Genomic sequencing combined with population studies now assists in resolving such cases. Further population studies have potential to inform the need to design population-specific red cell antibody typing panels for antibody screening in the Australian population.

Recurrent pregnancy loss in a patient with anti-Rh17.

BACKGROUND: Rh is one of the most important blood group systems in transfusion medicine. The two homologous genes RHD and RHCE are located on chromosome 1p36.11 and encode for RhD and RhCE proteins, respectively. Complex genetic polymorphisms result in a variety of antigenic expression of D, C, E, c, and e. Here, we describe a case of a young female with D-- who developed anti-Rh17 secondary to blood transfusion and had signs of haemolytic disease of the fetus and fetal death in five consecutive pregnancies. CASE DESCRIPTION: EDTA-whole blood samples were collected from the patient, husband and eight siblings for blood grouping, phenotyping, and red cell antibody screening. Extracted DNA was genotyped by SNP-microarray and massively parallel sequencing (MPS) with targeted blood group exome sequencing. Copy number variation analysis was performed to identify structural variants in the RHD and RHCE. Routine phenotyping showed all family members were D+. The patient's red blood cells were C-E-c-e-, Rh17- and Rh46- and had anti-Rh17 and anti-e antibodies. MPS showed the patient carried a wildtype RHD sequence and homozygous for RHCE (1)-D (2-9)-CE (10) hybrid gene predicted to express a D-- phenotype. CONCLUSIONS: Our patient had a rare D-- phenotype and confirmed to have RHCE/RHD hybrid gene with replacement of 2-9 exons of RHCE by RHD sequences. Unfortunately, our patient developed anti-Rh17 and anti-e antibodies due to blood transfusion and suffered fetal demise in her very first pregnancy. The adverse outcomes could have been prevented by active prenatal management.

Hemolytic disease of the fetus and newborn caused by anti-sD antibody in a GP.Mur/Mur Thai mother and review of the prevalence of sD in Thai blood donors.

BACKGROUND: Low-prevalence antigen sD (MNS23) is encoded by GYPB c.173C > G. Hemolytic disease of the fetus and newborn (HDFN) due to anti-sD is rare. A mother delivered a newborn whose red blood cells (RBCs) were DAT-positive and was later diagnosed with HDFN. Serum from the mother was incompatible with the father's RBCs and was used to screen 184 Thai blood donors. This study aimed to investigate the cause of HDFN in a Thai family and determine the prevalence of sD in Thai blood donors. MATERIALS AND METHODS: Three family members and four blood donors were investigated in the study. Massively Parallel Sequencing (MPS) was used for genotyping. Standard hemagglutination techniques were used in titration studies, phenotyping, and enzyme/chemical studies. Anti-s, anti-Mia , anti-JENU, and anti-sD reagents were used in serological investigations. RESULTS: The mother was GYP*Mur/Mur. The father and the four donors were GYPB*s/sD predicting S - s + sD +. The baby was GYP*Mur/sD and his RBCs were Mia +, s + w with anti-s (P3BER) and JENU+w . RBCs from two GYPB*sD -positive blood donors reacted with anti-sD (Dreyer). Proteolytic enzyme α-chymotrypsin-treated sD + cells did not react with anti-sD (Wat) produced by the GP.Mur/Mur mother but reacted with the original anti-sD (Dreyer). DISCUSSION: This is the first report of HDFN due to anti-sD in the Asian population. The genotype frequency for GYPB*sD in a selected Thai blood donor population is 2.2% (4/184). Anti-sD should be considered in mothers with Southeast Asian or East Asian background when antibody identification is unresolved in pregnancies affected by HDFN.

Fatal haemolytic transfusion reaction due to anti-Ena and identification of a novel GYPA c.295delG variant in a Thai family.

BACKGROUND AND OBJECTIVES: High-frequency antigen Ena (MNS 28) is expressed on glycophorin A (GPA). En(a-) individuals can form anti-Ena when exposed to GPA. A Thai patient formed an antibody that reacted against all reagent red blood cells (RBCs). The patient received incompatible blood resulting in a fatal haemolytic transfusion reaction (HTR). This study aimed to characterize the antibody detected in the patient and investigate the cause of HTR. MATERIALS AND METHODS: Blood samples from the patient and three of his family members were investigated. Massively parallel sequencing (MPS) and DNA-microarray were used for genotyping. Standard haemagglutination techniques were used for phenotyping and antibody investigations. RESULTS: DNA sequencing showed the patient was homozygous for GYPA*M c.295delG (p.Val99Ter) predicting En(a-). Three family members were heterozygous for GYPA c.295delG. MPS and DNA-microarray predicted the patient was N- discordant with the N+ RBC phenotype. The patient's plasma was positive with enzyme/chemical-treated reagent RBCs but failed to react with En(a-) and Mk Mk RBCs. CONCLUSION: The GYPA c.295delG variant prevented GPA expression on RBCs resulting in En(a-) phenotype. The N+ phenotype result was probably due to the anti-N typing reagent detecting 'N' (MNS30) on GPB. The patient's alloantibody has anti-Ena specificity.

A new high-prevalence LW antigen detected by an antibody in an Indigenous Australian homozygous for LW*A c.309C>A variant.

BACKGROUND AND OBJECTIVES: The LW gene encodes the LW glycoprotein that carries the antigens of the LW blood group system. LW antigens are distinct from D antigen, however, they are phenotypically related and anti-LW antibodies are often mistaken as anti-D. An antibody was detected in an Australian patient of Aboriginal descent who consistently typed as LW(a+b-). This study aimed to describe the antibody recognizing a high-prevalence antigen on the LW glycoprotein. STUDY DESIGN AND METHODS: Samples from the patient and her four siblings were investigated. DNA was genotyped by single nucleotide polymorphism (SNP)-microarray and massively parallel sequencing (MPS) platforms. Red blood cells (RBCs) were phenotyped using standard haemagglutination techniques. Antibody investigations were performed using a panel of phenotyped RBCs from adults and cord blood cells. RESULTS: SNP-microarray and MPS genotyped all family members as LW*A/A, (c.299A), predicting LW(a+b-). In addition, a novel LW*A c.309C>A single nucleotide variant was detected in all family members. The patient and one of her siblings (M4) were LW c.309C>A homozygous. Antibody from the patient reacted positive to all reagent panel RBCs and cord blood cells but negative with RBCs from LW(a-b-), Rhnull and sibling M4. Antibody failed to react with RBCs treated with dithiothreitol. CONCLUSION: Antibody detected in the patient recognized a novel high-prevalence antigen, LWEM, in the LW blood group system. LWEM-negative patients who developed anti-LWEM can be safely transfused with D+ RBCs, however, D- is preferred. Accurate antibody identification can help better manage allocation of blood products especially when D- RBCs are in short supply.

A phylogenetic analysis of the wild Tulipa species (Liliaceae) of Kosovo based on plastid and nuclear DNA sequence.

In Kosovo, the genus Tulipa is represented by eight taxa, most of which form a species complex surrounding Tulipa scardica. To investigate the phylogenetic relationship of these Tulipa species a Bayesian analysis was undertaken using the ITS nuclear marker and trnL-trnF, rbcL and psbA-trnH plastid markers. The resulting phylogenetic trees show that Kosovarian Tulipa species consistently group into two main clades, the subgenera Eriostemones and Tulipa. Furthermore, our analyses provide some evidence that the subspecies of Tulipa sylvestris are genetically distinguishable, however not significantly enough to support their reclassification as species. In contrast, the markers provide some novel information to reassess the species concepts of the T. scardica complex. Our data provide support for the synonymisation of Tulipa luanica and Tulipa kosovarica under the species Tulipa serbica. Resolution and sampling limitations hinder any concrete conclusion about whether Tulipa albanica and T. scardica are true species, yet our data do provide some support that these are unique taxa and therefore should continue to be treated as such until further clarification. Overall, our work shows that genetic data will be important in determining species concepts in this genus, however, even with a molecular perspective pulling apart closely related taxa can be extremely challenging.

Erratum: A phylogenetic analysis of the wild Tulipa species (Liliaceae) of Kosovo based on plastid and nuclear DNA sequence.

[This corrects the article DOI: 10.1002/ggn2.202100016.].

Frequency of Mia (MNS7) and Classification of Mia-Positive Hybrid Glycophorins in an Australian Blood Donor Population.

BACKGROUND: MNS blood group system genes GYPA and GYPB share a high degree of sequence homology and gene structure. Homologous exchanges between GYPA and GYPB form hybrid genes encoding hybrid glycophorins GP(A-B-A) and GP(B-A-B). Over 20 hybrid glycophorins have been characterised. Each has a distinct phenotype defined by the profile of antigens expressed including Mia. Seven hybrid glycophorins carry Mia and have been reported in Caucasian and Asian population groups. In Australia, the population is diverse; however, the prevalence of hybrid glycophorins in the population has never been determined. The aims of this study were to determine the frequency of Mia and to classify Mia-positive hybrid glycophorins in an Australian blood donor population. METHOD: Blood samples from 5,098 Australian blood donors were randomly selected and screened for Mia using anti-Mia monoclonal antibody (CBC-172) by standard haemagglutination technique. Mia-positive red blood cells (RBCs) were further characterised using a panel of phenotyping reagents. Genotyping by high-resolution melting analysis and DNA sequencing were used to confirm serology. RESULT: RBCs from 11/5,098 samples were Mia-positive, representing a frequency of 0.22%. Serological and molecular typing identified four types of Mia-positive hybrid glycophorins: GP.Hut (n = 2), GP.Vw (n = 3), GP.Mur (n = 5), and 1 GP.Bun (n = 1). GP.Mur was the most common. CONCLUSION: This is the first comprehensive study on the frequency of Mia and types of hybrid glycophorins present in an Australian blood donor population. The demographics of Australia are diverse and ever-changing. Knowing the blood group profile in a population is essential to manage transfusion needs.

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.

Optimizing the Use of Electronic Data Sources in Clinical Trials: The Technology Landscape.

TransCelerate has created an initiative to facilitate the industry's movement toward optimal use of electronic data sources for clinical research. Although guidance and standards have been in place for some time, gaps remain. Consequently, transcription among electronic systems continues to be the norm. In the initial phase of the eSource Initiative, TransCelerate is developing a thorough understanding of the current landscape. As a preliminary step in this process, the TransCelerate eSource Initiative published Optimizing the Use of Electronic Data Sources in Clinical Trials: The Landscape Part I, which provided insight into sponsor company eSource activities and the environment affecting eSource adoption based on input from TransCelerate member companies, standards organizations, and regulatory authorities. For Part II (this article), TransCelerate surveyed technology companies, including CROs providing technology, to better understand capabilities available today, plans for eSource, and perceived barriers to greater adoption. This information is a vital input that will help shape upcoming TransCelerate proposals for best practices for industry utilization of electronic data collection tools and methods. It is clear from the survey results that the technologies needed to support the various eSource modalities are mature. However, the approach to implementing eSource is fragmented. Greater collaboration is needed not only within the pharmaceutical industry but across industries that include health care and technology. The industry must reach common understandings about novel endpoints, data standards, system validation, and related issues. While technology in itself is not a significant barrier to eSource implementation, interoperability among systems is an enormous challenge to establishing a complete end-to-end electronic health care and research ecosystem. The TransCelerate eSource Initiative will continue to evaluate the technology, regulatory environment, data standards, and health care landscape to support the goal of improving global clinical science and global clinical trial execution. Forthcoming publications will focus on future vision and demonstration projects.

Genotyping confirms inheritance of the rare At(a-) type in a case of haemolytic disease of the newborn.

The At(a) blood group antigen (now AUG2 in the Augustine system) is a high-frequency antigen with negative phenotype At(a-) found only in individuals of African ancestry. In a twin pregnancy, the fifth pregnancy in a woman of African origin, serological investigations confirmed that the mother was At(a-) and anti-At(a) was detected. DNA samples were exome sequenced and alignment was performed to allow variant calling. It was confirmed that the single nucleotide polymorphism, rs45458701, within the SLC29A1 gene encoding the ENT1 protein, recently reported to be a basis of the At(a-) phenotype was also the basis of the phenotype in this family. The reagents for serological analysis required to identify the rare blood type present in this mother are held in only a few reference laboratories worldwide. This case highlights the utility of genetic methods in resolving complex investigations involving blood grouping and demonstrates that genotyping of variants associated with blood types present in specific ethnic groups may be the fastest method available for identification of the basis of fetomaternal incompatibilities.

Optimizing the Use of Electronic Data Sources in Clinical Trials: The Landscape, Part 1.

BACKGROUND: TransCelerate BioPharma has created the eSource Initiative with the intent to facilitate the industry's movement toward optimal usage of electronic data sources. Although guidance and standards have been in place for some time, data collection methods and technology have not been utilized to their fullest capability, and transcription between electronic systems continues to be the norm. METHODS: The TransCelerate approach for the eSource Initiative is to understand the current landscape and highlight factors that are influencing the adoption of new technologies. As a preliminary step in this process, TransCelerate surveyed member companies regarding eSource usage and barriers. RESULTS: Literature review, stakeholder engagement, and the member survey have provided insight into the current landscape, which will help TransCelerate to develop proposals for best practices for industry utilization of electronic data collection tools and methods to benefit all stakeholders. CONCLUSIONS: Based on survey results, companies generally have taken steps to leverage current eSource technologies and prepare for optimal utilization of electronic data sources. The TransCelerate eSource Initiative will continue to evaluate the technology, regulatory, standards, and health care landscape to support the goal of improving global clinical science and global clinical trial execution. Forthcoming publications will focus on technology landscape, future vision, and demonstration projects.

Detecting Data Quality Issues in Clinical Trials: Current Practices and Recommendations.

BACKGROUND: Data quality issues in clinical trials can be caused by a variety of behaviors including fraud, misconduct, intentional or unintentional noncompliance, and significant carelessness. Regardless of how these behaviors are defined, they may compromise the validity of the study results. Reliable study results and quality data are needed to evaluate products for marketing approval and for decisions that are made on the use of medicine. This article focuses on detecting data quality issues, irrespective of origin or motive. Early detection of data quality issues are important so that corrective actions taken can be implemented during the conduct of the trial, recurrence can be prevented, and data quality can be preserved. METHODS: A survey was distributed to TransCelerate member companies to assess current strategies for detecting and mitigating risks involving fraud and misconduct in clinical trials. A review of literature across many industries from 1985 to 2014 was conducted using multiple platforms. RESULTS: Eighteen TransCelerate member companies anonymously responded to the survey. All of the respondents had one or more existing strategies for fraud and misconduct detection. The literature search identified current practices and methodologies across many industries. CONCLUSIONS: TransCelerate recommends the creation of an integrated, multifaceted approach to proactively detect data quality issues. Detection methods should include a strategy tailored to the characteristics of the study. Some sponsors are taking advantage of more advanced methods and integrated processes and systems to proactively detect and address issues, relying on advances in technology to more efficiently review data in real time. Further research is underway to assess statistical data quality detection methodology in clinical trials.

Defining a Central Monitoring Capability: Sharing the Experience of TransCelerate BioPharma's Approach, Part 2.

BACKGROUND: TransCelerate's model approach to risk-based monitoring (RBM) includes the application of the appropriate monitoring activities to enable both the early detection and timely resolution of issues. This article is a follow-up to part 1, published in the September 2014 issue with the same title. METHODS: The intent of this paper is to share information on what has been learned by various companies' applications of central monitoring activities based on different RBM operating models. A library of risk indicators has been created, and this paper provides additional guidance on what has been learned in the application of these tools. RESULTS: The goal is to share the needs related to people, process, and technology as experienced by TransCelerate member companies. CONCLUSIONS: One of the primary issue detection methods of central monitoring is the proactive identification of areas of focus through the use of risk indicators.

Molecular typing for the Indian blood group associated 252G>C single nucleotide polymorphism in a selected cohort of Australian blood donors.

BACKGROUND: The Indian blood group antigens, In(a) and In(b), are clinically significant in transfusion medicine. However, antisera to type these antigens are difficult to obtain. The In(b) antigen is a high frequency antigen present in all populations, while the frequency of the antithetical In(a) ranges from 0.1% in Caucasians up to 11% in Middle Eastern groups. This antigen polymorphism is encoded by the single nucleotide polymorphism (SNP) 252G>C in CD44. The aim of this study was to establish and compare two genotyping methods to measure the frequency of the IN*A and IN*B alleles in a blood donor cohort. MATERIALS AND METHODS: Donor blood samples (n=151) were genotyped by a novel real-time polymerase chain reaction (PCR) high-resolution meltcurve (HRM) analysis and a custom matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) assay. Samples with the rare IN*A allele were further investigated by nucleotide sequencing, red cell agglutination, and flow cytometry techniques. RESULTS: In this study group, 149 IN*B homozygous and 2 IN*A/B heterozygous samples were detected with 100% concordance between HRM and MALDI-TOF MS methods. For PCR HRM, amplicon melting alone did not differentiate IN*A and IN*B alleles (class 3 SNP), however, the introduction of an unlabelled probe (UP) increased the resolution of the assay. Sequencing confirmed that the two non-homozygous samples were IN*A/B heterozygous and phenotyping by red cell agglutination, and flow cytometry confirmed both In(a) and In(b) antigens were present as predicted. DISCUSSION: Genotyping permits conservation of rare antisera to predict blood group antigen phenotype. In PCR UP-HRM the IN*A and IN*B alleles were discriminated on the basis of their melting properties. The In(a) frequency in this selected donor population was 1.3%. Application of genotyping methods such as these assists in identifying donors with rare blood group phenotypes of potential clinical significance.

Evaluating Source Data Verification as a Quality Control Measure in Clinical Trials.

TransCelerate has developed a risk-based monitoring methodology that transforms clinical trial monitoring from a model rooted in source data verification (SDV) to a comprehensive approach leveraging cross-functional risk assessment, technology, and adaptive on-site, off-site, and central monitoring activities to ensure data quality and subject safety. Evidence suggests that monitoring methods that concentrate on what is critical for a study and a site may produce better outcomes than do conventional SDV-driven models. This article assesses the value of SDV in clinical trial monitoring via a literature review, a retrospective analysis of data from clinical trials, and an assessment of major and critical findings from TransCelerate member company internal audits. The results support the hypothesis that generalized SDV has limited value as a quality control measure and reinforce the value of other risk-based monitoring activities.

Defining a Central Monitoring Capability: Sharing the Experience of TransCelerate BioPharma's Approach, Part 1.

Central monitoring, on-site monitoring, and off-site monitoring provide an integrated approach to clinical trial quality management. TransCelerate distinguishes central monitoring from other types of central data review activities and puts it in the context of an overall monitoring strategy. Any organization seeking to implement central monitoring will need people with the right skills, technology options that support a holistic review of study-related information, and adaptable processes. There are different approaches actively being used to implement central monitoring. This article provides a description of how companies are deploying central monitoring, as well as samples of the workflows that illustrate how some have implemented it. The desired outcomes include earlier, more predictive detection of quality issues. This paper describes the initial implementation steps designed to learn what organizational capabilities are necessary.