Abstract
The primary cause of aplastic anemia remains unknown in many patients. The aim of this study was to clarify the genetic cause of familial aplastic anemia. Genomic DNA of an affected individual from a multiplex consanguineous family was hybridized to a Nimblegen exome library before being sequenced on a GAIIx genome analyzer. Once the disease causing homozygous mutation had been confirmed in the consanguineous family, this gene was then analyzed for mutation in 33 uncharacterized index cases of aplastic anemia (<13 years) using denaturing HPLC. Abnormal traces were confirmed by direct sequencing. Exome sequencing identified a novel homozygous nonsense mutation in the thrombopoietin receptor gene MPL. An additional novel homozygous MPL mutation was identified in the screen of 33 aplastic anemia patients. This study shows for the first time a link between homozygous MPL mutations and familial aplastic anemia. It also highlights the important role of MPL in trilineage hematopoiesis.Introduction
Aplastic anemia (AA, MIM #609138) is a rare heterogeneous disorder affecting 2–7 people per million per year.1 In 50–70% of cases, the etiology is unknown. In the remainder, it is either inherited (10–20%) or is secondary to a particular insult (10–20%2,3). Some of the inherited cases can be linked to various syndromes, for example, Fanconi anemia (FA) or dyskeratosis congenita (DC), but others remain uncharacterized.4 Familial AA is an extremely rare inherited subtype affecting multiple individuals in a family. Patients typically only have features of AA; the absence of any somatic features making it distinct from other inherited aplastic anemias. The primary cause of these uncharacterized familial cases is of interest to the scientist and can present a diagnostic conundrum to the clinician.
Until recently the main ways to identify new disease causing genes was to identify candidate gene regions using linkage analysis or by a direct candidate gene approach based on similar biological function. Often success in such traditional approaches required the recruitment of large families with many affected and unaffected individuals.5,6 These approaches have a low success rate in identifying new disease genes, especially when there are no current genes associated with a particular disease phenotype. Inheritance type and family size also significantly affect the likelihood of success and compound heterozygous mutations cannot be identified using these types of approach. Recent advances, such as next generation sequencing, have made it possible to sequence the entire genome within weeks or, more easily, the entire coding exome within a few days.7 This new technology now allows the identification of causative mutations in families and disorders that are not amenable to linkage-based positional cloning.8
The aim of this study was to use exome sequencing to identify the cause of familial AA in a consanguineous family with 2 affected children. This would then identify a gene to screen in other uncharacterized AA cases.
Design and Methods
Patient selection
DNA samples were received from 10 family members of a large consanguineous family from Tunisia (2 had severe AA: Family 1). Other DNA samples came from individuals aged under 13 years presenting with AA which was not associated with any other bone marrow (BM) failure syndrome. All samples were obtained with informed consent and with the approval of our local ethics committee.
Homozygosity mapping
Genome wide microsatellite analysis was performed on the 2 affected children (Family 1: 4-I and 4-III) and where identical homozygous markers were identified, all family members were typed at this and flanking markers. Areas of homozygosity which were consistent with linkage were noted.
Exome sequencing
Approximately 180,000 coding exons from 5μg of genomic DNA from patient 4-III (Family 1) were sequenced on the Illumina Genome Analyser IIx after enrichment using the NimblGen SeqCap EZ exome library. Sequencing data were processed through the Illumina pipeline and unique homozygous changes identified by filtering the resultant data set against variations reported on dbSNP (www.ncbi.nlm.nih.gov/snp/), the 1000 genome project (www.1000genomes.org/) and an in-house data set.
MPL mutation detection and gene screening
Primers were designed to all coding exons (Online Supplementary Table S1). The mutation c.1248G>A p.W416X in exon 8 of MPL, was confirmed by direct sequencing using ABI BigDye v3.1. For the other 33 samples, all exons of MPL were screened by denaturing high performance liquid chromatography (dHPLC) using the Transgenomic Wave DNA fragment analysis system to detect heteroduplexes following pair-wise pooling. All abnormal elution patterns were sequenced as described above. Any coding variations identified were compared to dbSNP and 1000 genome databases to determine that they had not been described as a rare variation.
Telomere length measurement
Telomere lengths were measured using a multiplex real time PCR method as described previously.9–10 T/S ratios obtained for the patient samples were compared with healthy control samples and also patients with known TERC mutations as examples of short telomeres.
Results and Discussion
Following microsatellite analysis, several regions of homozygosity shared by the 2 affected individuals were identified (Family 1, Online Supplementary Figure S1). Given the large number of genes in these intervals, DNA from patient 4-III (Figure 1A) underwent exome sequencing. We filtered the resultant data set against: i) known variations in published databases; ii) an in-house database; iii) excluding any changes not in a homozygous interval; iv) based on gene function; and v) precedence of a disease with similar clinical features being caused by mutations in the same gene. We were able to reduce the number of variations to study to a homozygous mutation c.1248 G>A, p.Trp416Stop in MPL. MPL (myeloproliferative leukemia virus oncogene) encodes the thrombopoietin (TPO) receptor. The interaction of thrombopoietin with its receptor is largely responsible for megakaryopoiesis, platelet activation, as well as the maintenance of hematopoietic stem cells (HSC). This also initiates intracellular signaling, including activation of the JAK/STAT, RAS/MAPK and P13K/AKT pathways.11 Clinically, biallelic constitutional mutations in MPL have been described in congenital amegakaryocytic thrombocytopenia (CAMT). Patients with CAMT typically present with thrombocytopenia in the first few weeks/months of life.12 Knockout studies in mice for either Mpl or Tpo show a significant decrease in the numbers of myeloid, erythroid, megakaryocytic and burst colony forming units, but apart from a reduction in platelet numbers, no reduction in other peripheral blood counts was observed. When progenitor assays are performed on BM from patients with CAMT, there is a significant reduction in the clonogenic cells of all three lineages when compared with BM from healthy individuals, suggesting that the thrombocytopenia and pancytopenia observed in these patients may result from loss of function mutations in MPL.13
Sequencing the c.1248 G>A, p.Trp416Stop variation in all Family 1 members confirmed this novel MPL mutation segregated with disease in an autosomal recessive manner (Figure 1A). We then extended our screen to patients that were reported to have AA in childhood but not necessarily in the neonatal period. From the clinical information available, the diagnosis of CAMT was not considered by the referring physician and it was not always clear if a thrombocytopenic phase preceded the presentation of the AA. A total of 33 patients were selected (mean age at presentation 4.5 years; range 3 months-11 years). All coding exons of MPL were screened and a novel missense mutation was identified in one patient. This patient (Family 2, from Pakistan) had a homozygous mutation c.1180 C>T p.Pro394Ser. A study of additional family members showed that a second affected brother was also homozygous for this mutation (Figure 1B). Both mutations identified in this study were clustered in exon 8. This exon is not reported to be widely mutated, and the majority of published mutations tend to cluster in exons 2 and 3 (Figure 1C).
Many mutations in MPL have been identified in relation to CAMT (Figure 1C12,14–16 ) and this in turn has allowed different subtypes of CAMT to be described, partially based on the mutation type. Type I is the most severe form with early onset pancytopenia, decreased BM activity and very low platelet count. The mutations associated with this subtype involve premature stop codons or frame shift mutations that eliminate receptor signaling by deletion of all or most of the intracellular domain. Type II CAMT is a milder form of the disease with transient increases of platelet count up to nearly normal values in the first year of life and a later onset of BM failure (between 3–6 years). The mutations associated with this subtype include missense mutations or splicing defects resulting in reduced, residual receptor activity. A third type has also been described in which patients have ineffective megakaryopoiesis with no apparent defects in the MPL gene.15,17,18
In a systematic review of the literature, Ballmaier and Gereshausen report on all the cases of CAMT published since 1990.19 Of the 71 cases where the age of onset of pancytopenia or BM hypocellularity was reported, the average age was 5.3 months (range 0–96 months). Our patient group differs from the more usual presentation of CAMT, suggesting they could be part of a different subtype of disease ( key clinical features are shown in Table 1). As a diagnosis of CAMT was not suspected in the larger group of patients with AA, MPL was not an obvious candidate gene to screen without the information obtained from the exome sequencing data from Family 1. In Family 2, the thrombocytopenia was only identified when the children were undergoing clinical investigations for a viral infection. None of these patients had the classical presentation of CAMT.
In Family 1, although having a premature stop mutation that is usually associated with type I CAMT, the age of disease onset is later. Clinically, CAMT patients can be classified as type I if the platelet count in the first year of life is 50×10/L or under or, if this information is not present, pancytopenia develops before the age of three years.15 From this classification it is apparent that the affected individuals in Family 1 have a different clinical course from the more usual presentation of CAMT type I (Table 1). This cannot be easily explained as both the nonsense mutations usually associated with CAMT type I and the one reported here would be predicted not to produce any functional protein; therefore, there would be an absence of receptors, which would impact on the downstream signaling.
In retrospect, Family 2 could be considered to be similar to type II CAMT but this diagnosis only became possible after the homozygous missense mutation had been identified. The age of onset is more variable in type II CAMT and presentation tends to be less severe. Clinically, type II CAMT can be defined by platelet count within the first year of life as transiently increasing to over 50×10/L or by developing pancytopenia over the age of six years.
Short telomeres are also a recognized feature of patients with AA.20 Mutations in genes encoding the telomerase complex result in short telomeres and some of these have been described in patients with apparently acquired severe AA.21,22 Telomere lengths were assayed to determine if short telomeres were involved in the pathology of AA caused by MPL mutations. Due to technical problems, we were only able to assay telomeres from both affected individuals from Family 2. For comparison, telomere lengths reported as T/S ratios are included for healthy controls (n=95, mean 0.83; range 0.32–1.86) and for patients with TERC mutations (n=18, mean 0.36; range 0.27–0.86). The T/S ratios for the patients with MPL mutations are above the 10 percentile for the normal range (Figure 2) and longer than those seen in patients with TERC mutations (which are significantly shorter than controls). This suggests that the AA associated with MPL mutations is due more to a reduction of stem cells, resulting in an inability to maintain the pool of blood cells, rather than short telomeres causing increased cellular apoptosis and/or senescence leading to the same reduction in blood cells, as seen in AA patients with TERC mutations.
In this study, we have demonstrated exome sequencing of a single individual from a consanguineous family is powerful enough to identify the causative recessive disease gene, particularly when coupled with previous linkage data. This reduces the number of potential variations, as any not in a previously identified homozygous region could be excluded. We identified the causative homozygous MPL mutation in a family with familial AA. This gene has been implicated in a similar disease phenotype CAMT, but due to the differences in presentation and course of the disease this diagnosis was not considered. An additional novel MPL homozygous mutation was also identified in another family following screening of 33 AA cases. We have shown for the first time that homozygous MPL mutations can be found (albeit rarely) in children with familial AA in whom CAMT was not diagnosed or suspected. Additional studies will be needed to further clarify the relationship between CAMT, AA and MPL.
Acknowledgments
We would like to thank all the families and clinicians for biological samples, specifically Dr. Abdelkefi (Tunisia) and Dr. Richards (UK).
Footnotes
- Funding: this work was funded by The Wellcome Trust.
- The online version of this article has a Supplementary Appendix.
- Authorship and Disclosures The information provided by the authors about contributions from persons listed as authors and in acknowledgments is available with the full text of this paper at www.haematologica.org.
- Financial and other disclosures provided by the authors using the ICMJE (www.icmje.org) Uniform Format for Disclosure of Competing Interests are also available at www.haematologica.org.
- Received July 29, 2011.
- Revision received November 29, 2011.
- Accepted November 30, 2011.
References
- Young NS, Scheinberg P, Calado RT. Aplastic anemia. Curr Opin Hematol. 2008; 15(3):162-8. PubMedhttps://doi.org/10.1097/MOH.0b013e3282fa7470Google Scholar
- Postgraduate Haematology. Wiley-Blackwell; 2011. Google Scholar
- Postgraduate Haematology. Wiley-Blackwell; 2011. Google Scholar
- Dokal I, Vulliamy T. Inherited bone marrow failure syndromes. Haematologica. 2010; 95(8):1236-40. PubMedhttps://doi.org/10.3324/haematol.2010.025619Google Scholar
- Knight SW, Vulliamy TJ, Heiss NS, Matthijs G, Devriendt K, Connor JM. 1.4 Mb candidate gene region for X linked dyskeratosis congenita defined by combined haplotype and X chromosome inactivation analysis. J Med Genet. 1998; 35(12):993-6. PubMedhttps://doi.org/10.1136/jmg.35.12.993Google Scholar
- Lander ES, Botstein D. Homozygosity mapping: a way to map human recessive traits with the DNA of inbred children. Science. 1987; 236(4808):1567-70. PubMedhttps://doi.org/10.1126/science.2884728Google Scholar
- Mardis ER. Next-generation DNA sequencing methods. Annu Rev Genomics Hum Genet. 2008;9387-402. Google Scholar
- Kuhlenbaumer G, Hullmann J, Appenzeller S. Novel genomic techniques open new avenues in the analysis of monogenic disorders. Hum Mutat. 2011; 32(2):144-51. PubMedhttps://doi.org/10.1002/humu.21400Google Scholar
- Cawthon RM. Telomere length measure-ment by a novel monochrome multiplex quantitative PCR method. Nuc Acids Res. 2009; 37(3):e21. PubMedhttps://doi.org/10.1093/nar/gkn1027Google Scholar
- Walne AJ, Vulliamy T, Beswick R, Kirwan M, Dokal I. Mutations in C16orf57 and normal-length telomeres unify a subset of patients with dyskeratosis congenita, poik-iloderma with neutropenia and Rothmund-Thomson syndrome. Hum Mol Genet. 2010; 19(22):4453-61. PubMedhttps://doi.org/10.1093/hmg/ddq371Google Scholar
- Kaushansky K. Molecular mechanisms of thrombopoietin signaling. J Thromb Haemost. 2009; 7:235-8. PubMedGoogle Scholar
- Ihara K, Ishii E, Eguchi M, Takada H, Suminoe A, Good RA. Identification of mutations in the c-mpl gene in congenital amegakaryocytic thrombocytopenia. Proc Natl Acad Sci USA. 1999; 96(6):3132-6. PubMedhttps://doi.org/10.1073/pnas.96.6.3132Google Scholar
- Chou FS, Mulloy JC. The thrombopoietin/MPL pathway in hematopoiesis and leukemogenesis. J Cell Biochem. 2011; 112(6):1491-8. PubMedhttps://doi.org/10.1002/jcb.23089Google Scholar
- Savoia A, Dufour C, Locatelli F, Noris P, Ambaglio C, Rosti V. Congenital amegakaryocytic thrombocytopenia: clinical and biological consequences of five novel mutations. Haematologica. 2007; 92(9):1186-93. PubMedhttps://doi.org/10.3324/haematol.11425Google Scholar
- Germeshausen M, Ballmaier M, Welte K. MPL mutations in 23 patients suffering from congenital amegakaryocytic thrombocytopenia: the type of mutation predicts the course of the disease. Hum Mutat. 2006; 27(3):296. PubMedGoogle Scholar
- Ballmaier M, Germeshausen M, Schulze H, Cherkaoui K, Lang S, Gaudig A. c-mpl mutations are the cause of congenital amegakaryocytic thrombocytopenia. Blood. 2001; 97(1):139-46. PubMedhttps://doi.org/10.1182/blood.V97.1.139Google Scholar
- Geddis AE. Congenital amegakaryocytic thrombocytopenia. Pediatr Blood Cancer. 2011; 57(2):199-203. PubMedhttps://doi.org/10.1002/pbc.22927Google Scholar
- Al-Qahtani FS. Congenital amegakaryocytic thrombocytopenia: a brief review of the literature. Clin Med Insights Pathol. 2010; 3:25-30. PubMedGoogle Scholar
- Ballmaier M, Germeshausen M. Advances in the understanding of congenital amegakaryocytic thrombocytopenia. Br J Haematol. 2009; 146(1):3-16. PubMedhttps://doi.org/10.1111/j.1365-2141.2009.07706.xGoogle Scholar
- Ball SE, Gibson FM, Rizzo S, Tooze JA, Marsh JC, Gordon-Smith EC. Progressive telomere shortening in aplastic anemia. Blood. 1998; 91(10):3582-92. PubMedGoogle Scholar
- Yamaguchi H, Calado RT, Ly H, Kajigaya S, Baerlocher GM, Chanock SJ. Mutations in TERT, the gene for telomerase reverse transcriptase, in aplastic anemia. N Engl J Med. 2005; 352(14):1413-24. PubMedhttps://doi.org/10.1056/NEJMoa042980Google Scholar
- Marrone A, Sokhal P, Walne A, Beswick R, Kirwan M, Killick S. Functional characterization of novel telomerase RNA (TERC) mutations in patients with diverse clinical and pathological presentations. Haematologica. 2007; 92(8):1013-20. PubMedhttps://doi.org/10.3324/haematol.11407Google Scholar