Junhyup Song, Soon Sung Kwon, Eun Jung Suh, Hyun Kyung Kim, Jong Rak Choi, Dae-Hyun Ko, Sinyoung Kim
{"title":"RHD-RHCE参考序列的靶向长读测序等位基因编目","authors":"Junhyup Song, Soon Sung Kwon, Eun Jung Suh, Hyun Kyung Kim, Jong Rak Choi, Dae-Hyun Ko, Sinyoung Kim","doi":"10.1093/clinchem/hvaf090","DOIUrl":null,"url":null,"abstract":"Background Implementation of blood group genotyping has offered substantial benefits in transfusion medicine. However, the complex molecular basis of Rh antigen expression and a high degree of sequence homology between RHD and RHCE have long limited the accuracy of blood group genotyping, highlighting the need for a more systematic characterization of existing molecular variations. Methods We employed a custom target enrichment strategy to perform high-fidelity (HiFi) long-read sequencing of the RHD–RHCE region on chromosome 1 in samples obtained from 63 individuals. The resulting HiFi long-read sequences were aligned to the human reference genome GRCh38, variants were identified and phased, and allelic reference sequences were generated. Phylogenetic analyses were then performed to classify RHD–RHCE alleles and elucidate their evolutionary relationships. Results Our approach enabled the phasing of heterozygous variants at distant loci, as well as precise characterization of tandem repeat variations and structural variants. Complete phase resolution was achieved in 76.2% of samples, yielding 96 allelic reference sequences spanning the entire RHD–RHCE region. Alleles within each phylogenetic clade exhibited a characteristic sequence pattern spanning RHD to RHCE. Conclusions Our findings revealed that the current Eurasian allelic pool originated from 2 distinct primordial lineages, with occasional interallelic recombination events shaping the present-day RHD–RHCE haplotype diversity. While most previous classification approaches have treated RHD and RHCE independently, our results support the notion that analyzing them as a single evolutionary unit may offer practical advantages for molecular typing approaches.","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"166 1","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Allelic Cataloging of RHD–RHCE Reference Sequences Using Targeted Long-Read Sequencing\",\"authors\":\"Junhyup Song, Soon Sung Kwon, Eun Jung Suh, Hyun Kyung Kim, Jong Rak Choi, Dae-Hyun Ko, Sinyoung Kim\",\"doi\":\"10.1093/clinchem/hvaf090\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Implementation of blood group genotyping has offered substantial benefits in transfusion medicine. However, the complex molecular basis of Rh antigen expression and a high degree of sequence homology between RHD and RHCE have long limited the accuracy of blood group genotyping, highlighting the need for a more systematic characterization of existing molecular variations. Methods We employed a custom target enrichment strategy to perform high-fidelity (HiFi) long-read sequencing of the RHD–RHCE region on chromosome 1 in samples obtained from 63 individuals. The resulting HiFi long-read sequences were aligned to the human reference genome GRCh38, variants were identified and phased, and allelic reference sequences were generated. Phylogenetic analyses were then performed to classify RHD–RHCE alleles and elucidate their evolutionary relationships. Results Our approach enabled the phasing of heterozygous variants at distant loci, as well as precise characterization of tandem repeat variations and structural variants. Complete phase resolution was achieved in 76.2% of samples, yielding 96 allelic reference sequences spanning the entire RHD–RHCE region. Alleles within each phylogenetic clade exhibited a characteristic sequence pattern spanning RHD to RHCE. Conclusions Our findings revealed that the current Eurasian allelic pool originated from 2 distinct primordial lineages, with occasional interallelic recombination events shaping the present-day RHD–RHCE haplotype diversity. While most previous classification approaches have treated RHD and RHCE independently, our results support the notion that analyzing them as a single evolutionary unit may offer practical advantages for molecular typing approaches.\",\"PeriodicalId\":10690,\"journal\":{\"name\":\"Clinical chemistry\",\"volume\":\"166 1\",\"pages\":\"\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/clinchem/hvaf090\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/clinchem/hvaf090","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Allelic Cataloging of RHD–RHCE Reference Sequences Using Targeted Long-Read Sequencing
Background Implementation of blood group genotyping has offered substantial benefits in transfusion medicine. However, the complex molecular basis of Rh antigen expression and a high degree of sequence homology between RHD and RHCE have long limited the accuracy of blood group genotyping, highlighting the need for a more systematic characterization of existing molecular variations. Methods We employed a custom target enrichment strategy to perform high-fidelity (HiFi) long-read sequencing of the RHD–RHCE region on chromosome 1 in samples obtained from 63 individuals. The resulting HiFi long-read sequences were aligned to the human reference genome GRCh38, variants were identified and phased, and allelic reference sequences were generated. Phylogenetic analyses were then performed to classify RHD–RHCE alleles and elucidate their evolutionary relationships. Results Our approach enabled the phasing of heterozygous variants at distant loci, as well as precise characterization of tandem repeat variations and structural variants. Complete phase resolution was achieved in 76.2% of samples, yielding 96 allelic reference sequences spanning the entire RHD–RHCE region. Alleles within each phylogenetic clade exhibited a characteristic sequence pattern spanning RHD to RHCE. Conclusions Our findings revealed that the current Eurasian allelic pool originated from 2 distinct primordial lineages, with occasional interallelic recombination events shaping the present-day RHD–RHCE haplotype diversity. While most previous classification approaches have treated RHD and RHCE independently, our results support the notion that analyzing them as a single evolutionary unit may offer practical advantages for molecular typing approaches.
期刊介绍:
Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM).
The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics.
In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology.
The journal is indexed in databases such as MEDLINE and Web of Science.