Open Access

Whole-exome sequencing identifies novel candidate predisposition genes for familial polycythemia vera

  • Elina A. M. Hirvonen1,
  • Esa Pitkänen1,
  • Kari Hemminki2,
  • Lauri A. Aaltonen1, 3 and
  • Outi Kilpivaara1Email author
Human Genomics201711:6

DOI: 10.1186/s40246-017-0102-x

Received: 27 February 2017

Accepted: 9 April 2017

Published: 20 April 2017

Abstract

Background

Polycythemia vera (PV), characterized by massive production of erythrocytes, is one of the myeloproliferative neoplasms. Most patients carry a somatic gain-of-function mutation in JAK2, c.1849G > T (p.Val617Phe), leading to constitutive activation of JAK-STAT signaling pathway. Familial clustering is also observed occasionally, but high-penetrance predisposition genes to PV have remained unidentified.

Results

We studied the predisposition to PV by exome sequencing (three cases) in a Finnish PV family with four patients. The 12 shared variants (maximum allowed minor allele frequency <0.001 in Finnish population in ExAC database) predicted damaging in silico and absent in an additional control set of over 500 Finns were further validated by Sanger sequencing in a fourth affected family member. Three novel predisposition candidate variants were identified: c.1254C > G (p.Phe418Leu) in ZXDC, c.1931C > G (p.Pro644Arg) in ATN1, and c.701G > A (p.Arg234Gln) in LRRC3. We also observed a rare, predicted benign germline variant c.2912C > G (p.Ala971Gly) in BCORL1 in all four patients. Somatic mutations in BCORL1 have been reported in myeloid malignancies. We further screened the variants in eight PV patients in six other Finnish families, but no other carriers were found.

Conclusions

Exome sequencing provides a powerful tool for the identification of novel variants, and understanding the familial predisposition of diseases. This is the first report on Finnish familial PV cases, and we identified three novel candidate variants that may predispose to the disease.

Keywords

Myeloproliferative neoplasm Polycythemia vera Genetics Exome sequencing Familial predisposition

Background

Myeloproliferative neoplasms (MPNs) are a group of hematological malignancies with enhanced proliferation of myeloid cells due to an acquired mutation of a single hematopoietic stem cell (HSC) resulting in clonal progeny [1, 2]. Expansion of red blood cells in the peripheral blood and bone marrow is the hallmark of polycythemia vera (PV). PV is a chronic, Philadelphia chromosome-negative myeloproliferative disorder with symptoms including fatigue, pruritus, and splenomegaly. The patients have an increased risk of thrombosis, and the disease may further progress to secondary acute myeloid leukemia (sAML) or myelofibrosis [3].

The global annual incidence rate of PV is approximately 1 per 100,000 persons [4]. Most PV patients (approximately 95%) carry a somatic mutation in exon 14 of a non-receptor tyrosine kinase-coding gene Janus kinase 2 (JAK2), c.1849G > T (p.Val617Phe, subsequently referred to as JAK2V617F) [58]. The major diagnostic criteria for PV according to World Health Organization (2008) are exceptionally high hemoglobin and presence of JAK2V617F mutation. Other criteria include consistent bone marrow morphology and low erythropoietin (Epo) levels [9, 10]. When diagnosed with PV, most patients are older than 60 years old, and survival depends on the complications and severity of the disease. In younger patients, life expectancy is reduced when compared to the general population [11].

Janus kinase 2 (JAK2) plays a crucial role in the function and maintenance of HSCs [12], as well as in myelopoiesis through binding to various cytokine receptors including erythropoietin receptor (Epo-R), thus, contributing to formation of red blood cells [13]. V617F mutation, which is located within the pseudokinase domain of JAK2 protein, leads to constitutive activity that promotes cytokine hypersensitivity and abnormal signaling through Janus kinase-signal transducer and activator of transcription factor (JAK-STAT) pathway [58]. In addition, approximately 3% of PV patients, being JAK2V617F-negative, harbor mutations in exon 12 of JAK2. The mutations in both exons 14 and 12 induce cytokine-independent proliferation of cells expressing Epo-receptors [14]. Also, certain germline mutations in JAK2 are predicted to represent a mechanism possibly preceding the acquisition of JAK2V617F mutation in PV [15].

Although most PV cases appear to be sporadic, familial clustering is also observed in a subset of cases [1618]. JAK2V617F-positive MPNs are strongly associated with JAK2 46/1, or ‘GGCC’ haplotype (rs10974944), which is a common, moderate penetrance predisposition allele [1922]. Also, a single nucleotide polymorphism (SNP) in the telomerase reverse transcriptase gene (TERT), rs2736100, has emerged as another predisposing factor to MPNs [23]. In addition, it has been shown that germline duplication of ATG2B and GSKIP genes predisposes to familial myeloid malignancies [24], and germline RBBP6 mutations have been associated with familial MPNs [25]. It is likely that additional inherited genetic factors contribute to PV development as well, since familial clustering of PV suggests the presence of additional susceptibility alleles. High-penetrance predisposition genes to PV have, however, remained unidentified.

Here, we report a Finnish family with four PV patients in two generations (Additional file 1: Figure S1). A family with this many cases is quite exceptional, since PV is a rare disease and usually sporadic. Also, in a familial PV case like here, the age at diagnosis is usually lower, which is an additional indication of the presence of predisposing factors. DNA from all the PV patients in this family was available. The aim of this study was to identify new predisposing gene variants by exome sequencing the DNA of three of the affected family members; the index case and two affected family members (germline) and peripheral blood DNA of the index case. Exome sequencing was not feasible in the fourth PV patient due to very low amount of archived DNA available. The observed, predicted as damaging, germline variants were analyzed in the fourth PV patient of the family, and the variants shared by all four individuals were further screened in six other families with two PV cases in each.

Methods

Patient samples

We investigated a Finnish family with four PV patients (Additional file 1: Figure S1). The index case (1.1) was diagnosed with PV at the age of 36, and with myelofibrosis later at the age of 47. The father (1.2) of the index patient was diagnosed with PV at the age of 48, and the aunt (1.9) with PV and acute leukemia at the age of 91. The uncle (1.10) of the index patient was diagnosed with PV at the age of 83. Two individuals in the family had lymphoma; 1.19 was diagnosed with nodular lymphocyte-predominant Hodgkin lymphoma (NLPHL) at the age of 55, and with diffuse large cell non-Hodgkin lymphoma (NHL) later at the age of 68; 1.6 was diagnosed with differentiated diffuse lymphocytic lymphoma at the age of 89. The healthy daughter of the index case is currently 31 years old.

Both peripheral blood and buccal swab samples were available from the index case. Only formalin-fixed paraffin embedded (FFPE) blocks were available from three other family members diagnosed with PV: 1.2, 1.9, and 1.10. Germline DNA was also available from one of two lymphoma patients (1.19) of the family. The second sample set consisted of FFPE blocks from six other Finnish PV families with two first-degree relative cases in five, and two more distant relatives in the sixth family. The study was approved by the appropriate Ethics Review Committee. Samples were derived either after a signed informed consent or after authorization from the National Supervisory Authority for Welfare and Health. The study was conducted in accordance with the Declaration of Helsinki.

Exome capture and sequencing

DNA was extracted from FFPE blocks with a standard phenol-chloroform method, and the buccal swab sample was extracted with QIAmp DNA Mini kit (Qiagen, Hilden, Germany). DNA from the blood sample was extracted with a standard non-enzymatic TKM buffer-proteinase K method. Sample libraries of gDNA were prepared using NEBNext DNA Library Prep Reagent Set for Illumina (New England Biolabs Ltd. Catalog # E6000), and exomic regions were enriched using Agilent Sure SelectXT Human All Exon V4 + UTRs 50Mb kit (Agilent Technologies, Santa Clara, CA, USA). Paired-end short read sequencing was performed with HiSeq 2000 (Illumina Inc., San Diego, CA, USA) at Karolinska Institutet, Sweden. The DNA library for whole-genome sequencing was prepared with KAPA Hyper Prep Kit (KAPA Biosystems, Wilmington, MA, USA). Paired-end short read sequencing was performed with HiSeq 4000 (Illumina Inc.) at Karolinska Institutet.

Variant analysis

Exome and genome sequencing data was mapped against the human reference genome GRCh37 (1000 Genomes Project reference hs37d5) with Burrow-Wheeler Aligner (BWA MEM, v.0.7.12, https://arxiv.org/abs/1303.3997), and mapped reads refined following the Genome Analysis Toolkit (GATK) Best Practices workflow including PCR duplicate removal, indel realignment, and base quality score recalibration [26]. Single-nucleotide and short-indel variants were then called using GATK HaplotypeCaller.

The SNV and indel variants in the exome sequencing data were analyzed with an in-house developed analysis and visualization tool (BasePlayer, Katainen et al., manuscript in preparation). A minimum coverage of four reads and the mutated allele present in at least 20% of the reads was required to call a variant. The variants which were present in an in-house control set of 542 Finns [93 whole genome sequenced individuals from the 1000 Genomes Project, 402 whole-genome sequenced individuals from Kuusamo, Finland (Sequencing Initiative Suomi), and 47 uterine leiomyoma patients] were excluded. To exclude common variants, we further filtered the variant set against the Exome Aggregation Consortium (ExAC v.0.3: 3,307 Finns) data [27], setting the maximum allowed minor allele frequency (MAF) in Finnish population to 0.001. Germline variants predicted benign by two independent computational methods PolyPhen-2 [28] and SIFT [29] were excluded.

Direct sequencing

The shared variants found in the exome data and BCORL1 cDNA were validated by direct Sanger sequencing. Also, the predisposing germline variant rs10974944 in JAK2 was checked. DNA was extracted from FFPE blocks with a standard phenol-chloroform method or with NucleoSpin® DNA FFPE XS kit (Macherey-Nagel, Düren, Germany). Primers were designed using Primer3Plus software (http://www.bioinformatics.nl/primer3plus). The DreamTaq™ DNA Polymerase (Thermo Scientific, Waltham, MA, USA) or Invitrogen™, Platinum™, SuperFi™ DNA Polymerase (Thermo Scientific) were used in PCR reactions, and PCR products were purified with A’SAP PCR clean-up method (ArcticZymes, Tromsø, Norway). BigDye Terminator v3.1 sequencing reaction was used in the DNA sequencing, and capillary electrophoresis was performed on an ABI3730xl DNA Analyzer (Applied Biosystems, Foster City, CA, USA) at the Institute for Molecular Medicine Finland (FIMM). The results were analyzed manually using FinchTV v.1.4.0 (Geospiza Inc., Seattle, WA, USA).

For cDNA sequencing, RNA was extracted from index case’s whole blood sample with NucleoSpin® RNA kit (Macherey-Nagel), and reverse-transcripted to cDNA with Promega M-MLV Reverse Transcriptase (Thermo Scientific) according to manufacturers’ protocols.

Results and discussion

Novel candidate germline variants for PV predisposition

Here, we have studied a Finnish family with four PV cases with the aim of identifying novel PV-predisposing germline variants. Germline DNA exomes from three affected family members and the peripheral blood DNA exome of the index case were sequenced. The average coverage at each base was 58 reads and 88% of the captured regions had a minimum coverage of four reads. We filtered the called variants based on their predicted, damaging effect on the gene product, and their presence in an in-house control set of 542 Finns. We removed the variants that occurred in any of the 542 Finnish controls (MAF < 0.2%, 95% Cl [0, 0.05%]), leaving us with 12 shared variants; 1 splice site and 11 possibly pathogenic missense variants (Table 1). We then validated the variants by Sanger sequencing in one additional family member diagnosed with PV (1.10).
Table 1

A list of damaging (in silico) germline variants in PV patients detected by exome sequencing (three cases)

Gene

Ensembl gene

Ensembl transcript

Genomic location

Variation, cDNA

Variation, protein

ZXDC*

ENSG00000070476

ENST00000389709

Chr3: 126189754

c.1254C > G

p.Phe418Leu

ATN1*

ENSG00000111676

ENST00000356654

Chr12: 7046361

c.1931C > G

p.Pro644Arg

LRRC3*

ENSG00000160233

ENST00000291592

Chr21: 45877228

c.701G > A, rs148872771

p.Arg234Gln

GNL3

ENSG00000163938

ENST00000418458

Chr3: 52727477

c.1241A > G

p.Tyr414Cys

MDC1

ENSG00000137337

ENST00000376406

Chr6: 30679188

c.2221-1G > T

splice site variant

ITPR3

ENSG00000096433

ENST00000374316

Chr6: 33635026

c.1672C > T, rs780906252

p.Arg558Cys

FAM135A

ENSG00000082269

ENST00000418814

Chr6: 71190668

c.607G > A, rs143901584

p.Val203Met

SLC2A12

ENSG00000146411

ENST00000275230

Chr6: 134312391

c.1756C > T, rs200847615

p.Pro586Ser

WDR86

ENSG00000187260

ENST00000334493

Chr7: 151097265

c.226G > A, rs199824863

p.Asp76Asn

CSMD1

ENSG00000183117

ENST00000537824

Chr8: 3165238

c.3929C > T

p.Ala1310Val

SLC24A2

ENSG00000155886

ENST00000341998

Chr9: 19786283

c.582A > G, rs368590535

p.Ile194Met

ITPKC

ENSG00000086544

ENST00000263370

Chr19: 41224132

c.1092C > G, rs143757004

p.Asp364Glu

The three shared variants in all four cases are marked with an asterisk. Genome assembly: GRCh37

From these variants predicted as damaging, 1.10 carried three rare single-nucleotide variants (SNVs): c.1254C > G (p.Phe418Leu) in ZXDC (ENST00000389709); c.1931C > G (p.Pro644Arg) in ATN1 (ENST00000356654); and rs148872771, c.701G > A (p.Arg234Gln) in LRRC3 (ENST00000291592). We screened the three variants in lymphoma patient 1.19, who carried the variant in LRRC3. Also, we checked for the three variants in the germlines of eight PV patients from six other Finnish families, but the variants were not observed. It may still be possible, however, that some of the three variants or other variants in these genes may play a role in PV development. We identified also one rare benign (PolyPhen-2, SIFT) missense SNP, rs144332650, c.2912C > G (p.Ala971Gly), and in BCORL1 (ENST00000540052) in all four PV patients in the family. Mutations in BCORL1 have been associated with the leukemogenic process in AML [3032]. PV patients in six other families did not carry the variant.

Zinc-finger X-linked duplicated family member C (ZXDC) belongs to the ZXD family of transcription factors, which has been observed to regulate transcription of major histocompatibility complex (MHC) class I and II genes in antigen presenting cells [33]. In addition to zinc fingers, ZXDC contains a transcriptional activation domain, and a specific domain used for interaction with a transcriptional co-factor class II trans-activator (CIITA), which leads to CIITA binding to promoter elements involved in constitutive MHC class II expression [33, 34]. By reducing the expression of ZXDC, CIITA activation of MHC class II gene transcription is significantly reduced [33]. Thus, downregulation of ZXDC may contribute to carcinogenesis and malignant progression of tumors by participating in the suppression of MHC class II genes. The mutated site of ZXDC identified in our study is the first amino acid of the ninth zinc finger repeat. Zinc fingers are necessary for full activity of cooperation with CIITA [33]. Beyond this role of acting as a co-factor in CIITA function, the ZXDC gene function is unknown. ZXDC is enriched in myeloid lineages and has been observed to regulate transcription of key genes during myeloid cell differentiation [35]. During hematopoiesis, it is expressed especially in stem and progenitor cells in the bone marrow, myelocytes, and leukocytes (BloodSpot http://nar.oxfordjournals.org/content/early/2015/10/26/nar.gkv1101.abstract, www.proteinatlas.org). Solely based on gene function, ZXDC variant would be the most attractive predisposition candidate of the three, but further studies are warranted.

Atrophin-1 (ATN1) is a nuclear transcriptional corepressor, and aberrant form of ATN1 is associated with neurodegenerative diseases such as dentatorubral-pallidoluysian atrophy (DRPLA), and cancer in humans [36]. It is ubiquitously expressed in neurons [37] and widely in various other tissues, e.g., in hematopoietic cells in the bone marrow (www.proteinatlas.org). ATN1 contains glutamine-repeats, and two arginine-glutamic acid dipeptide-like repeats (RE-repeats) [36]. In neuronal nuclei, ATN1 has been shown to interact with a transcriptional repressor Eight twenty-one (ETO) protein [38]. In normal hematopoiesis, it is widely expressed in differentiated blood cells, but the expression is lower in stem and progenitor cells (BloodSpot). Thus, it is likely that ATN1 interaction with ETO has no contribution to erythropoiesis or development of myeloproliferative diseases. On the other hand, in patients with AML, ATN1 is expressed more substantially (BloodSpot) compared to normal counterparts. Nevertheless, its normal function is not completely understood.

Little is known about the function of Leucine-rich repeat containing 3 (LRRC3) gene product, but it is widely expressed in different tissues, including the bone marrow. Most malignancies display moderate cytoplasmic-positive staining, and the strongest expression is observed in colorectal cancers (www.proteinatlas.org). One lymphoma patient of the family with DNA available carried the rare variant rs148872771 in LRRC3, too, which may indicate the particular variant not being responsible for PV predisposition exclusively.

The SNP in JAK2, rs10974944, was identified in all the PV patients in the family. Individuals 1.1, 1.2, and 1.10 were homozygous for the risk variant in their germline (GG genotype), whereas 1.9 was heterozygous (CG genotype). Also, all eight PV patients from the six other families carried the risk variant: two of them were heterozygous, and six were homozygous. The SNP in TERT, rs2736100, was also checked from the patients. All the PV patients in the studied family were homozygous for the risk variant (CC).

Germline duplication of ATG2B and GSKIP has been shown to predispose to familial myeloid malignancies [24]. A possible duplication was checked for in the whole-genome sequence data of the index case by visualizing the depth of coverage in the region. The duplication had not occurred in the index patient’s genome.

Detection of somatic variants

We identified the most frequent somatic variation in PV patients, JAK2V617F, in index case’s blood sample. Loss of heterozygosity (LOH) in the 12 damaging gene variants detected by exome sequencing was looked for in the index case’s blood sample, but only the variants c.582A > G (p.Ile194Met) in SLC24A2 and c.3929C > T (p.Ala1310Val) in CSMD1, in addition to JAK2V617F, showed clear LOH. In known MPN-associated genes, the index case carried two missense variants, c.680C > T (p.Thr227Met) in FLT3 and c.5162 T > G (p.Leu1721Trp) in TET2 (Illumina TruSight® Myeloid Sequencing Panel), predicted as possibly damaging by PolyPhen-2 and SIFT. In addition, we identified possibly damaging missense variants c.3263C > T (p.Ser1088Phe) and c.1235C > T (p.Ala412Val) in FANCA, which is one of the genes associated with other myeloid malignancies [39, 40].

BCORL1 gene is located on the X chromosome. The index case being a woman, we checked which of the alleles was expressed; the BCORL1 variant or the wild-type. By Sanger sequencing the cDNA, we identified the expression of BCORL1 variant.

Conclusions

Identification of predisposing genes and mutations is important for families with PV susceptibility and acknowledging family history is essential in order to unveil the genetic background. New hereditary gene defects may lead to screening and genetic counseling of family members and may improve the diagnosis and treatment thus affecting the quality of life. Also, the identification of specific gene mutations gives the possibility to screen individuals at higher risk. This is the first report on Finnish familial PV cases, and we identified three candidate predisposition variants by exome-sequencing. We would like to present these genes as candidates for PV susceptibility and for further validation by the research community.

Declarations

Acknowledgements

The authors would like to thank Annukka Ruokolainen, Inga-Lill Svedberg, Iina Vuoristo, Sini Nieminen, Marjo Rajalaakso, Heikki Metsola, and Jiri Hamberg for excellent technical assistance. Institute for Molecular Medicine Finland (FIMM) is acknowledged for capillary sequencing. Minna Taipale and Jussi Taipale (Karolinska Institutet, Stockholm, Sweden) are acknowledged for providing excellent exome and genome sequencing services.

Funding

Funding for the work was supported by grants from the Academy of Finland (Finnish Centre of Excellence Program 2012-2017 (#250345), and personal grants for O.K. (#137680, #274474), the Finnish Cancer Society, and Sigrid Juselius Foundation. The funding bodies did not participate in the study design, sample collection, analysis and interpretation of data, or in the writing of the manuscript.

Availability of data and materials

The data that support the findings of the study are available from the corresponding author on reasonable request.

Author’s contributions

OK, KH, and LAA designed the study. KH provided the samples. EAMH performed the laboratory experiments and data analysis. EP was responsible for the pipeline. EAMH and OK wrote the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

Ethics Committee for gynecology and obstetrics, pediatrics, and psychiatry has approved the study. Written informed consent was obtained from all living patients.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Genome-Scale Biology Research Program, Research Programs Unit and Department of Medical and Clinical Genetics, Medicum, University of Helsinki
(2)
Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ)
(3)
Department of Biosciences and Nutrition, Karolinska Institutet

References

  1. Adamson JW, Fialkow PJ, Murphy S, Prchal JF, Steinmann L. Polycythemia vera: stem-cell and probable clonal origin of the disease. N Engl J Med. 1976;295:913–6.View ArticlePubMedGoogle Scholar
  2. Jamieson CH, Gotlib J, Durocher JA, Chao MP, Mariappan MR, Lay M, et al. The JAK2 V617F mutation occurs in hematopoietic stem cells in polycythemia vera and predisposes toward erythroid differentiation. Proc Natl Acad Sci U S A. 2006;103:6224–9.View ArticlePubMedPubMed CentralGoogle Scholar
  3. Stein BL, Oh ST, Berenzon D, Hobbs GS, Kremyanskaya M, Rampal RK, et al. Polycythemia vera: an appraisal of the biology and management 10 years after the discovery of JAK2 V617F. J Clin Oncol. 2015;33:3953–60.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Titmarsh GJ, Duncombe AS, Mcmullin MF, O'rorke M, Mesa R, De Vocht F, et al. How common are myeloproliferative neoplasms? A systematic review and meta-analysis. Am J Hematol. 2014;89:581–7.View ArticlePubMedGoogle Scholar
  5. Baxter EJ, Scott LM, Campbell PJ, East C, Fourouclas N, Swanton S, et al. Acquired mutation of the tyrosine kinase JAK2 in human myeloproliferative disorders. Lancet. 2005;365:1054–61.View ArticlePubMedGoogle Scholar
  6. James C, Ugo V, Le Couedic JP, Staerk J, Delhommeau F, Lacout C, et al. A unique clonal JAK2 mutation leading to constitutive signalling causes polycythaemia vera. Nature. 2005;434:1144–8.View ArticlePubMedGoogle Scholar
  7. Kralovics R, Passamonti F, Buser AS, Teo SS, Tiedt R, Passweg JR, et al. A gain-of-function mutation of JAK2 in myeloproliferative disorders. N Engl J Med. 2005;352:1779–90.View ArticlePubMedGoogle Scholar
  8. Levine RL, Wadleigh M, Cools J, Ebert BL, Wernig G, Huntly BJ, et al. Activating mutation in the tyrosine kinase JAK2 in polycythemia vera, essential thrombocythemia, and myeloid metaplasia with myelofibrosis. Cancer Cell. 2005;7:387–97.View ArticlePubMedGoogle Scholar
  9. Tefferi A, Thiele J, Orazi A, Kvasnicka HM, Barbui T, Hanson CA, et al. Proposals and rationale for revision of the World Health Organization diagnostic criteria for polycythemia vera, essential thrombocythemia, and primary myelofibrosis: recommendations from an ad hoc international expert panel. Blood. 2007;110:1092–7.View ArticlePubMedGoogle Scholar
  10. Tefferi A, Thiele J, Vardiman JW. The 2008 World Health Organization classification system for myeloproliferative neoplasms: order out of chaos. Cancer. 2009;115:3842–7.View ArticlePubMedGoogle Scholar
  11. Stein BL, Saraf S, Sobol U, Halpern A, Shammo J, Rondelli D, et al. Age-related differences in disease characteristics and clinical outcomes in polycythemia vera. Leuk Lymphoma. 2013;54:1989–95.View ArticlePubMedGoogle Scholar
  12. Akada H, Akada S, Hutchison RE, Sakamoto K, Wagner KU, Mohi G. Critical role of Jak2 in the maintenance and function of adult hematopoietic stem cells. Stem Cells. 2014;32:1878–89.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Witthuhn BA, Quelle FW, Silvennoinen O, Yi T, Tang B, Miura O, et al. JAK2 associates with the erythropoietin receptor and is tyrosine phosphorylated and activated following stimulation with erythropoietin. Cell. 1993;74:227–36.View ArticlePubMedGoogle Scholar
  14. Scott LM, Tong W, Levine RL, Scott MA, Beer PA, Stratton MR, et al. JAK2 exon 12 mutations in polycythemia vera and idiopathic erythrocytosis. N Engl J Med. 2007;356:459–68.View ArticlePubMedPubMed CentralGoogle Scholar
  15. Lanikova L, Babosova O, Swierczek S, Wang L, Wheeler DA, Divoky V, et al. Coexistence of gain-of-function JAK2 germline mutations with JAK2V617F in polycythemia vera. Blood. 2016. doi:10.1182/blood-2016-04-711283.PubMedGoogle Scholar
  16. Hemminki K, Jiang Y. Familial polycythemia vera: results from the Swedish Family-Cancer Database. Leukemia. 2001;15:1313–5.View ArticlePubMedGoogle Scholar
  17. Kralovics R, Stockton DW, Prchal JT. Clonal hematopoiesis in familial polycythemia vera suggests the involvement of multiple mutational events in the early pathogenesis of the disease. Blood. 2003;102:3793–6.View ArticlePubMedGoogle Scholar
  18. Cario H, Goerttler PS, Steimle C, Levine RL, Pahl HL. The JAK2V617F mutation is acquired secondary to the predisposing alteration in familial polycythaemia vera. Br J Haematol. 2005;130:800–1.View ArticlePubMedGoogle Scholar
  19. Jones AV, Chase A, Silver RT, Oscier D, Zoi K, Wang YL, et al. JAK2 haplotype is a major risk factor for the development of myeloproliferative neoplasms. Nat Genet. 2009;41:446–9.View ArticlePubMedPubMed CentralGoogle Scholar
  20. Kilpivaara O, Mukherjee S, Schram AM, Wadleigh M, Mullally A, Ebert BL, et al. A germline JAK2 SNP is associated with predisposition to the development of JAK2(V617F)-positive myeloproliferative neoplasms. Nat Genet. 2009;41:455–9.View ArticlePubMedPubMed CentralGoogle Scholar
  21. Olcaydu D, Harutyunyan A, Jager R, Berg T, Gisslinger B, Pabinger I, et al. A common JAK2 haplotype confers susceptibility to myeloproliferative neoplasms. Nat Genet. 2009;41:450–4.View ArticlePubMedGoogle Scholar
  22. Trifa AP, Cucuianu A, Petrov L, Urian L, Militaru MS, Dima D, et al. The G allele of the JAK2 rs10974944 SNP, part of JAK2 46/1 haplotype, is strongly associated with JAK2 V617F-positive myeloproliferative neoplasms. Ann Hematol. 2010;89:979–83.View ArticlePubMedGoogle Scholar
  23. Oddsson A, Kristinsson SY, Helgason H, Gudbjartsson DF, Masson G, Sigurdsson A, et al. The germline sequence variant rs2736100_C in TERT associates with myeloproliferative neoplasms. Leukemia. 2014;28:1371–4.View ArticlePubMedPubMed CentralGoogle Scholar
  24. Saliba J, Saint-Martin C, Di Stefano A, Lenglet G, Marty C, Keren B, et al. Germline duplication of ATG2B and GSKIP predisposes to familial myeloid malignancies. Nat Genet. 2015;47:1131–40.View ArticlePubMedGoogle Scholar
  25. Harutyunyan AS, Giambruno R, Krendl C, Stukalov A, Klampfl T, Berg T, et al. Germline RBBP6 mutations in familial myeloproliferative neoplasms. Blood. 2016;127:362–5.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Mckenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20:1297–303.View ArticlePubMedPubMed CentralGoogle Scholar
  27. Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature. 2016;536:285–91.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, et al. A method and server for predicting damaging missense mutations. Nat Methods. 2010;7:248–9.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Kumar P, Henikoff S, Ng PC. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc. 2009;4:1073–81.View ArticlePubMedGoogle Scholar
  30. Li M, Collins R, Jiao Y, Ouillette P, Bixby D, Erba H, et al. Somatic mutations in the transcriptional corepressor gene BCORL1 in adult acute myelogenous leukemia. Blood. 2011;118:5914–7.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Tiacci E, Grossmann V, Martelli MP, Kohlmann A, Haferlach T, Falini B. The corepressors BCOR and BCORL1: two novel players in acute myeloid leukemia. Haematologica. 2012;97:3–5.View ArticlePubMedPubMed CentralGoogle Scholar
  32. Rotunno G, Guglielmelli P, Biamonte F, Rumi E, Cazzola M, Vannucchi AM. Mutational analysis of BCORL1 in the leukemic transformation of chronic myeloproliferative neoplasms. Ann Hematol. 2014;93:523–4.View ArticlePubMedGoogle Scholar
  33. Al-Kandari W, Jambunathan S, Navalgund V, Koneni R, Freer M, Parimi N, et al. ZXDC, a novel zinc finger protein that binds CIITA and activates MHC gene transcription. Mol Immunol. 2007;44:311–21.View ArticlePubMedGoogle Scholar
  34. Al-Kandari W, Koneni R, Navalgund V, Aleksandrova A, Jambunathan S, Fontes JD. The zinc finger proteins ZXDA and ZXDC form a complex that binds CIITA and regulates MHC II gene transcription. J Mol Biol. 2007;369:1175–87.View ArticlePubMedPubMed CentralGoogle Scholar
  35. Ramsey JE, Fontes JD. The zinc finger transcription factor ZXDC activates CCL2 gene expression by opposing BCL6-mediated repression. Mol Immunol. 2013;56:768–80.View ArticlePubMedPubMed CentralGoogle Scholar
  36. Wang L, Tsai CC. Atrophin proteins: an overview of a new class of nuclear receptor corepressors. Nucl Recept Signal. 2008;6:e009.PubMedPubMed CentralGoogle Scholar
  37. Yazawa I, Nukina N, Hashida H, Goto J, Yamada M, Kanazawa I. Abnormal gene product identified in hereditary dentatorubral-pallidoluysian atrophy (DRPLA) brain. Nat Genet. 1995;10:99–103.View ArticlePubMedGoogle Scholar
  38. Wood JD, Nucifora Jr FC, Duan K, Zhang C, Wang J, Kim Y, et al. Atrophin-1, the dentato-rubral and pallido-luysian atrophy gene product, interacts with ETO/MTG8 in the nuclear matrix and represses transcription. J Cell Biol. 2000;150:939–48.View ArticlePubMedPubMed CentralGoogle Scholar
  39. Butturini A, Gale RP, Verlander PC, Adler-Brecher B, Gillio AP, Auerbach AD. Hematologic abnormalities in Fanconi anemia: an International Fanconi Anemia Registry study. Blood. 1994;84:1650–5.PubMedGoogle Scholar
  40. Wijker M, Morgan NV, Herterich S, Van Berkel CG, Tipping AJ, Gross HJ, et al. Heterogeneous spectrum of mutations in the Fanconi anaemia group A gene. Eur J Hum Genet. 1999;7:52–9.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2017

Advertisement