2019
DOI: 10.1016/j.ajhg.2018.12.011
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The Genetic Landscape of Diamond-Blackfan Anemia

Abstract: Pearson marrow pancreas syndrome in patients suspected to have Diamond-Blackfan anemia. Blood 17, 437-440. The authors apologize for this error.

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Cited by 42 publications
(63 citation statements)
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“…This is an inherited bone marrow failure syndrome characterized by anemia, macrocytosis, reticulopenia, and selective reduction or absence of erythroid precursors (BFU‐Es) in an otherwise normocellular bone marrow . More than 200 heterozygous mutations in 19 ribosomal protein (RP) genes have been recorded to‐date, accounting for most (approximately 70%), but not all, of the DBA cases . Sankaran and colleagues were the first to identify through exome sequencing a GATA1 mutation associated with DBA .…”
Section: Downregulation Of Gata1 Protein Levels and Ineffective Erythmentioning
confidence: 99%
“…This is an inherited bone marrow failure syndrome characterized by anemia, macrocytosis, reticulopenia, and selective reduction or absence of erythroid precursors (BFU‐Es) in an otherwise normocellular bone marrow . More than 200 heterozygous mutations in 19 ribosomal protein (RP) genes have been recorded to‐date, accounting for most (approximately 70%), but not all, of the DBA cases . Sankaran and colleagues were the first to identify through exome sequencing a GATA1 mutation associated with DBA .…”
Section: Downregulation Of Gata1 Protein Levels and Ineffective Erythmentioning
confidence: 99%
“…While many of the examples discussed above emerged through traditional family‐based linkage or sequencing analyses, as larger cohorts of rare disease patients are being assembled, broader assessments through RVAS and gene burden analyses are occurring. Such approaches have been valuable in the context of DBA (Ulirsch et al , ), as well as for studies of patients with rare congenital forms of thrombocytopenia and immunodeficiencies (preprint: Downes et al , , preprint: Thaventhiran et al , ). There is no doubt that as larger collaborative efforts are established for rare disease patients, including those with genetic blood disorders, there will be more opportunities to identify additional causal and modifier genes.…”
Section: Introductionmentioning
confidence: 99%
“…There is no doubt that as larger collaborative efforts are established for rare disease patients, including those with genetic blood disorders, there will be more opportunities to identify additional causal and modifier genes. Moreover, these studies highlight the incomplete penetrance or variable expressivity of many alleles when examined in large cohorts of patients compared with healthy population controls (Ulirsch et al , ). Such discoveries will pave the way for further insights into human hematopoiesis.…”
Section: Introductionmentioning
confidence: 99%
“…Beckmann, N. Katsanis, C.V. Nicchitta, F. Fellman, unpublished data), and genes identified within genetic deletions (e.g. RPS8 , RPS14 ) (Gazda et al , ; Ulirsch et al , ). Herein, 55% are sporadic ( de novo ) mutations and 45% comprise familial mutations, concerning both affected family members as well as asymptomatic (“silent”) carriers, reflecting the variable penetration of RP gene mutations.…”
Section: Diagnosismentioning
confidence: 99%
“…Given that RPS19 is the most frequently mutated gene (25% of cases), genetic screening often begins with targeted Sanger sequencing of RPS19 . However, as a consequence of improved accessibility to newly developed genetic methods, many laboratories nowadays use next generation sequencing (NGS, targeted or whole exome) to analyse gene panels of commonly mutated genes in DBA, or all genes that have been linked to DBA (Da Costa et al , ), including mutations in non‐ribosomal genes, such as GATA1 , TSR2, ADA2 , and the recently described biallelic mutations in erythropoietin (EPO) (Sankaran et al , ; Parrella et al , ; Ulirsch et al , ). However, whereas mutations in GATA1 and TSR2 have been directly linked to ribosome biogenesis or function, and are therefore generally considered DBA‐specific, it makes sense to classify mutations in other non‐RP genes separately (Ludwig et al , ; Van Montfrans et al , ; Khajuria et al , ; Schutz et al , ).…”
Section: Diagnosismentioning
confidence: 99%