Genomic insights into inherited bone marrow failure syndromes in a Korean population

Author:

Lee Jong‐Mi12ORCID,Kim Hoon Seok12ORCID,Yoo Jaeeun3,Lee Jaewoong3,Ahn Ari3,Cho Hanwool4,Han Eun Hee5,Jung Jin2,Yoo Jae Won6,Kim Seongkoo6,Lee Jae Wook6ORCID,Cho Bin6,Chung Nack‐Gyun6,Kim Myungshin12ORCID,Kim Yonggoo12

Affiliation:

1. Catholic Genetic Laboratory Center, Seoul St. Mary's Hospital, College of Medicine The Catholic University of Korea Seoul Republic of Korea

2. Department of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine The Catholic University of Korea Seoul Republic of Korea

3. Department of Laboratory Medicine, Incheon St. Mary's Hospital, College of Medicine The Catholic University of Korea Seoul Republic of Korea

4. Department of Laboratory Medicine, St. Vincent's Hospital, College of Medicine The Catholic University of Korea Seoul Republic of Korea

5. Department of Laboratory Medicine, Daejeon St. Mary's Hospital, College of Medicine The Catholic University of Korea Seoul Republic of Korea

6. Department of Pediatrics, Seoul St. Mary's Hospital, College of Medicine The Catholic University of Korea Seoul Republic of Korea

Abstract

SummaryInherited bone marrow failure syndromes (IBMFS) pose significant diagnostic challenges due to overlapping symptoms and variable expressivity, despite evolving genomic insights. The study aimed to elucidate the genomic landscape among 130 Korean patients with IBMFS. We conducted targeted next‐generation sequencing (NGS) and clinical exome sequencing (CES) across the cohort, complemented by whole genome sequencing (WGS) and chromosomal microarray (CMA) in 12 and 47 cases, respectively, with negative initial results. Notably, 50% (n = 65) of our cohort achieved a genomic diagnosis. Among these, 35 patients exhibited mutations associated with classic IBMFSs (n = 33) and the recently defined IBMFS, aplastic anaemia, mental retardation and dwarfism syndrome (AmeDS, n = 2). Classic IBMFSs were predominantly detected via targeted NGS (85%, n = 28) and CES (88%, n = 29), whereas AMeDS was exclusively identified through CES. Both CMA and WGS aided in identifying copy number variations (n = 2) and mutations in previously unexplored regions (n = 2). Additionally, 30 patients were diagnosed with other congenital diseases, encompassing 13 distinct entities including inherited thrombocytopenia (n = 12), myeloid neoplasms with germline predisposition (n = 8), congenital immune disorders (n = 7) and miscellaneous genomic conditions (n = 3). CES was particularly effective in revealing these diverse diagnoses. Our findings underscore the significance of comprehensive genomic analysis in IBMFS, highlighting the need for ongoing exploration in this complex field.

Funder

Ministry of Education

National Research Foundation

Publisher

Wiley

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