Maroulio Pertesi1,2, Maxime Vallée1, Xiaomu Wei3, Maria V Revuelta4, Perrine Galia5,6, Delphine Demangel5,6, Javier Oliver1,7, Matthieu Foll1, Siwei Chen3, Emeline Perrial8,9, Laurent Garderet10,11,12, Jill Corre13, Xavier Leleu14, Eileen M Boyle15, Olivier Decaux16,17,18, Philippe Rodon19, Brigitte Kolb20, Borhane Slama21, Philippe Mineur22, Eric Voog23, Catherine Le Bris24, Jean Fontan25, Michel Maigre26, Marie Beaumont27, Isabelle Azais28, Hagay Sobol29, Marguerite Vignon30, Bruno Royer30, Aurore Perrot31, Jean-Gabriel Fuzibet32, Véronique Dorvaux33, Bruno Anglaret34, Pascale Cony-Makhoul35, Christian Berthou36, Florence Desquesnes37, Brigitte Pegourie38, Serge Leyvraz39, Laurent Mosser40, Nicole Frenkiel41, Karine Augeul-Meunier42, Isabelle Leduc43, Cécile Leyronnas44, Laurent Voillat45, Philippe Casassus46, Claire Mathiot47, Nathalie Cheron48, Etienne Paubelle49, Philippe Moreau50, Yves-Jean Bignon51, Bertrand Joly52, Pascal Bourquard53, Denis Caillot54, Hervé Naman55, Sophie Rigaudeau56, Gérald Marit57, Margaret Macro58, Isabelle Lambrecht59, Manuel Cliquennois60, Laure Vincent61, Philippe Helias62, Hervé Avet-Loiseau63, Victor Moreno64,65, Rui Manuel Reis66,67, Judit Varkonyi68, Marcin Kruszewski69, Annette Juul Vangsted70, Artur Jurczyszyn71, Jan Maciej Zaucha72, Juan Sainz73, Malgorzata Krawczyk-Kulis74, Marzena Wątek75,76, Matteo Pelosini77, Elzbieta Iskierka-Jażdżewska78, Norbert Grząśko79, Joaquin Martinez-Lopez80, Andrés Jerez81, Daniele Campa82, Gabriele Buda76, Fabienne Lesueur83, Marek Dudziński84, Ramón García-Sanz85, Arnon Nagler86, Marcin Rymko87, Krzysztof Jamroziak75, Aleksandra Butrym88, Federico Canzian89, Ofure Obazee89, Björn Nilsson2, Robert J Klein90, Steven M Lipkin4, James D McKay91, Charles Dumontet92,93,94,95. 1. Genetic Cancer Susceptibility, International Agency for Research on Cancer, Lyon, France. 2. Department of Laboratory Medicine, Division of Hematology and Transfusion medicine, Lund University, Lund, Sweden. 3. Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, USA. 4. Medicine, Weill Cornell Medical College, New York, NY, USA. 5. ProfilExpert, Lyon, France. 6. Hospices Civils de Lyon, Lyon, France. 7. Medical Oncology Service, Hospitales Universitarios Regional y Virgen de la Victoria; Institute of Biomedical Research in Malaga (IBIMA), CIMES, University of Málaga, Málaga, Spain. 8. INSERM 1052, CNRS 5286, CRCL, Lyon, France. 9. University of Lyon, Lyon, France. 10. INSERM, UMR_S 938, Paris, France. 11. AP-HP, Hôpital Saint Antoine, Departement d'hematologie et de therapie cellulaire, Paris, France. 12. Sorbonne Universites, UPMC Univ Paris 06, UMR_S 938, Paris, France. 13. IUC-Oncopole and CRCT INSERM U1037, Toulouse, France. 14. Inserm CIC 1402 & Service d'Hématologie et Thérapie Cellulaire, CHU La Miletrie, Poitiers, France. 15. Hôpital Claude Huriez, CHRU, Lille, France. 16. Service de Medecine Interne, CHU Rennes, Rennes, France. 17. Faculte de Medecine, Universite de Rennes 1, Rennes, France. 18. INSERM UMR U1236, Rennes, France. 19. Unite d'Hematologie et d'Oncologie, Centre Hospitalier, Perigueux, France. 20. Hematologie Clinique, CHU de Reims, Reims, France. 21. Service d'Onco hematologie, CH Avignon, Avignon, France. 22. Hematologie et pathologies de la coagulation, Grand Hôpital de Charleroi, Charleroi, Belgium. 23. Centre Jean Bernard, Institut Inter-regional de Cancerologie, Le Mans, France. 24. Service post urgences, CHU de FORT DE FRANCE, pôle RASSUR, Martinique, France. 25. Hopital Jean Minjoz, CHRU Besançon, Besançon, France. 26. Service d'Hemato-Oncologie, CHU Chartres, Chartres, France. 27. Hematologie clinique et therapie cellulaire, CHU Amiens, Amiens, France. 28. Service de rhumatologie, CHU Poitiers, Poitiers, France. 29. Cancer Genetics Department, Paoli-Calmettes Institute, Aix-Marseille University, Marseille, France. 30. Service d'Immuno-hematologie, Hôpital Saint Louis, Paris, France. 31. Service d'Hematologie, CHU de Nancy, Universite de Lorraine, Vandoeuvre les Nancy, Nancy, France. 32. Internal Medicine Department, Archet Hospital, CHU Nice, Nice, France. 33. Service d'Hematologie, CHR Mercy, Metz, France. 34. Unite d'Hematologie, CH Valence, Valence, France. 35. Service d'Hematologie, Centre Hospitalier Annecy Genevois, Epagny Metz-Tessy, France. 36. Service d'Hematologie, CHU de Brest, Brest, France. 37. Haematology Department, CHU UCL Namur, Yvoir, Belgium. 38. Hematologie clinique, CHU de Grenoble, La Tronche, France. 39. Departement d'oncologie, CHUV, Lausanne, Switzerland. 40. Unite d'oncologie medicale, Pôle medical 2, Hôpital Jacques Puel, Rodez, France. 41. CH Poissy, Saint-Germain-en-Laye, France. 42. Service Hematologie, Institut de Cancerologie Lucien Neuwirth, Saint-Priest-en-Jarez, France. 43. Hematologie, CHG Abbeville, Abbeville, France. 44. Institut Daniel Hollard, Groupe Hospitalier Mutualiste de Grenoble, Grenoble, France. 45. Service hemato/oncologie, CH William Morey, Chalon sur Saône, France. 46. Hematologie clinique, Hôpital Avicenne, Bobigny, France. 47. Intergroupe Francophone du Myelome (IFM), Bobigny, France. 48. Service Hematologie, CH Bligny, Briis-sous-Forges, France. 49. Service Hematologie, CH Lyon Sud, Pierre Benite, France. 50. Service Hematologie, CHU Nantes, Nantes, France. 51. Laboratoire de Biologie Medicale OncoGènAuvergne; Departement d'oncogenetique, UMR INSERM 1240, Centre Jean Perrin, Clermont-Ferrand, France. 52. Service d'hematologie clinique, Pôle medecine de specialite, Centre Hospitalier Sud Francilien (CHSF), Corbeil-Essonnes, France. 53. Hematologie Clinique, CHU Nîmes, Nîmes, France. 54. Hematologie Clinique, CHU Dijon, Dijon, France. 55. Hematologie - Oncologie medicale, Centre Azureen de Cancerologie, Mougins, France. 56. Service d'Hematologie et d'Oncologie, CHU de Versailles, Le Chesnay, France. 57. INSERM U1035, Universite de Bordeaux, Bordeaux, France. 58. Hematologie Clinique, IHBN-CHU CAEN (University Hospital), Caen, France. 59. Rheumatology Department, Maison Blanche Hospital, Reims University Hospitals, Reims, France. 60. Unite d'Hematologie clinique, Groupement des hôpitaux de l'Institut Catholique (GHICL), Universite Catholique de Lille, Lille, France. 61. Departement d'hematologie clinique, CHU de Montpellier, Montpellier, France. 62. Service d'Oncologie medicale, CHU de La Guadeloupe, Pointe-a-Pitre, Guadeloupe. 63. Laboratory for Genomics in Myeloma, Institut Universitaire du Cancer and University Hospital, Centre de Recherche en Cancerologie de Toulouse, Toulouse, France. 64. CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. 65. Unit of Biomarkers and Susceptibility, Cancer Prevention and Control Program, IDIBELL, Catalan Institute of Oncology; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain. 66. Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal; ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal. 67. Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, São Paulo, Brazil. 68. 3rd Department of Internal Medicine, Semmelweis University, Budapest, Hungary. 69. Department of Hematology, University Hospital, Bydgoszcz, Poland. 70. Department of Haematology, Rigshospitalet, Copenhagen University, Copenhagen, Denmark. 71. Jagiellonian University Medical College, Department of Hematology, Cracow, Poland. 72. Gdynia Oncology Center, Gdynia and Department of Oncological Propedeutics, Medical University of Gdańsk, Gdańsk, Poland. 73. Genomic Oncology Area, GENYO. Centre for Genomics and Oncological Research: Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, Granada, Spain. 74. Department of Bone Marrow Transplantation and Hematology-Oncology M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology Gliwice Branch, Gliwice, Poland. 75. Department of Hematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland. 76. Holycross Cancer Center of Kielce, Hematology Clinic, Kielce, Poland. 77. Department of Oncology, Transplants and Advanced Technologies, Section of Hematology, Pisa University Hospital, Pisa, Italy. 78. Department of Hematology, Medical University of Lodz, Łódź, Poland. 79. Department of Experimental Hemato-oncology, Medical University of Lubli, Poland; Department of Hematology, St. John's Cancer Centre, Polish Myeloma Study Group, Lublin, Poland. 80. Hematology Department, Hospital 12 de Octubre, Universidad Complutense; CNIO, Madrid, Spain. 81. Hematology and Medical Oncology Department, Hospital Morales Meseguer, IMIB, Murcia, Spain. 82. Department of Biology, University of Pisa, Pisa, Italy. 83. Inserm U900, Institut Curie, PSL Research University, Mines ParisTech, Paris, France. 84. Teaching Hospital No1, Hematology Dept, Rzeszow, Poland. 85. Hematology Department, University Hospital of Salamanca, IBSAL, Salamanca, Spain. 86. Hematology Division, Chaim Sheba Medical Center, Tel Hashomer, Israel. 87. Department of Hematology, Copernicus Hospital, Torun, Poland. 88. Wroclaw Medical University, Wroclaw, Poland. 89. Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany. 90. Department of Genetics and Genomic Sciences and Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 91. Genetic Cancer Susceptibility, International Agency for Research on Cancer, Lyon, France. mckayj@iarc.fr. 92. ProfilExpert, Lyon, France. charles.dumontet@chu-lyon.fr. 93. Hospices Civils de Lyon, Lyon, France. charles.dumontet@chu-lyon.fr. 94. INSERM 1052, CNRS 5286, CRCL, Lyon, France. charles.dumontet@chu-lyon.fr. 95. University of Lyon, Lyon, France. charles.dumontet@chu-lyon.fr.
Multiple myeloma (MM) is the third most common hematological malignancy, after Non-Hodgkin Lymphoma and Leukemia. MM is generally preceded by Monoclonal Gammopathy of Undetermined Significance (MGUS) [1], and epidemiological studies have identified older age, male gender, family history, and MGUS as risk factors for developing MM [2].The somatic mutational landscape of sporadic MM has been increasingly investigated, aiming to identify recurrent genetic events involved in myelomagenesis. Whole exome and whole genome sequencing studies have shown that MM is a genetically heterogeneous disease that evolves through accumulation of both clonal and subclonal driver mutations [3] and identified recurrently somatically mutated genes, including KRAS, NRAS, FAM46C, TP53, DIS3, BRAF, TRAF3, CYLD, RB1 and PRDM1 [3-5].Despite the fact that family-based studies have provided data consistent with an inherited genetic susceptibility to MM compatible with Mendelian transmission [6], the molecular basis of inherited MM predisposition is only partly understood. Genome-Wide Association (GWAS) studies have identified and validated 23 loci significantly associated with an increased risk of developing MM that explain ~16% of heritability [7] and only a subset of familial cases are thought to have a polygenic background [8]. Recent studies have identified rare germline variants predisposing to MM in KDM1A [9], ARID1A and USP45 [10], and the implementation of next-generation sequencing technology will allow the characterization of more such rare variants.In this study, we sought to explore the involvement of rare germline genetic variants in susceptibility to MM.Within our discovery cohort of peripheral blood samples (see Supplementary Methods) from 66 individuals from 23 unrelated families analyzed by WES, DIS3 (NM_014953) was the only gene in which putative loss-of-function variants were observed in at least two families. An additional cohort of 937 individuals (148 MM, 139 MGUS, 642 unaffected relatives and eight individuals with another hematological condition) from 154 unrelated families (including the individuals in the discovery cohort) were screened for germline variants in DIS3 using targeted sequencing (Supplementary Table S1). In total, we detected DIS3 germline putative loss-of-function variants in four unrelated families. The DIS3 genotypes for the identified variants were concordant between WES and targeted sequencing (where available) and independently confirmed by Sanger sequencing on DNA extracted from uncultured whole blood. The variant allele frequencies (VAF) were close to 50%, as expected of a germline variant (Supplementary figure S1).The DIS3 gene, located in 13q22.1, encodes for the catalytic subunit of the human exosome complex, and is recurrently somatically mutated in MMpatients [4, 5, 11, 12]. The somatic variants are predominantly missense variants localized in the RNB domain mainly abolishing the exoribonucleolytic activity [4, 13], and are often accompanied by LOH or biallelic inactivation due to 13q14 deletion, implying a tumor suppressor role for DIS3 in MM [5, 12, 13].The first DIS3 variant, observed in 2 affected siblings (1 MGUS and 1 MM case) from family B (Fig. 1a), was located in the splice donor site of exon 13 (c.1755+1G>T; chr13: 73,345,041; GRCh37/hg19, rs769194741) (Supplementary Figure S1a). It is predicted to abolish the splice donor site and cause skipping of exon 13, introducing a premature termination codon (p.Arg557Argfs*3) and result in a truncated DIS3 protein that lacks part of the exonucleolytic active RNB and S1 domains (Fig. 1b, c). The presence of this variant in two siblings, implying Mendelian segregation, is consistent with a germline, rather than somatic, origin. We investigated whether a DIS3 transcript from the variant allele is generated but is subsequently eliminated by Nonsense Mediated Decay (NMD) by incubating Lymphoblastoid Cell Lines (LCLs) derived from the two c.1755+1G>T allele carriers with and without puromycin, which suppresses NMD. The mRNA transcript corresponding to the variant allele was clearly present in LCLs treated with puromycin in both carriers, whereas not detectable in untreated LCLs (Fig. 2a), consistent with the variant allele being transcribed but subsequently degraded via the NMD pathway. In line with this observation, analysis of DIS3 mRNA expression by qRT-PCR showed an average 50% reduced expression in the c.1755+1G>T carriers (range 40.7−61.4%) as compared to non-carriers (Fig. 2b). A second splicing variant (c.1883+1G>C; chr13: 73,342,922; GRCh37/hg19) located in the splice donor site of exon 14 within the RNB domain was identified in a MM case from family D (Fig. 1a, b, Supplementary figure S1c). However, the individual’s mother (Q59), affected with amyloidosis, did not carry the variant, implying that MM in the allele carriers’ maternal uncles is unlikely to be explained by this DIS3 variant. Whether the mRNA transcript encoded by this germline variant undergoes NMD could not be explored due to lack of appropriate material (LCLs, RNA).
Fig. 1
DIS3 variants in MM cases. a Pedigrees from families carrying a germline DIS3 variant. Available samples for screening are marked with a “+” symbol. Families A and C carry the p.*959Glnext*14 (c.2875T>C) stop-loss variant. Family B carries the c.1755+1G>T splicing variant and family D carries the c.1883+1G>C splicing variant. The genotype of all screened individuals is shown on each pedigree. WT: wild type. b, c Schematic representation of identified germline and somatic variants in the distinct DIS3 protein domains. b Germline variants were identified through WES and targeted resequencing in families with reoccurrence of MM/MGUS as well as in a collection of sporadic MM cases (MMRF CoMMpass Study). The DIS3 variants discussed in the present study are depicted with a star on the upper part of the figure. c Somatic DIS3 variants were identified in sporadic MM cases from the MMRF CoMMpass Study. We observe that in contrast to the clustering of somatic DIS3 missense variants in the RNB and PIN domains, germline variants are scattered throughout the gene and consist of splicing, stop-loss and missense variants
Fig. 2
DIS3 c.1755+1G>T splicing variant results in nonsense-mediated mRNA decay (NMD) and affects mRNA expression, while the c.2875C>T (p.*959Glnext*14) stop-loss variant affects protein levels. a LCLs from patients E18 and E28 (not shown) carrying the c.1755+1G>T splicing variant were cultured with and without puromycin. The chromatogram from treated cells (with puromycin) showed a mixture of the wild-type and mutant transcript lacking exon 13, which was not detected in the non-treated cells (without puromycin). Thus, the mutant transcript is degraded by NMD. b Box plot representing the relative DIS3 mRNA expression in c.1775+1G>A (n=2) and p.*959Glnext*14 (n = 1) carriers compared to non-carriers (n = 4). All reactions were performed in triplicates. c Western blot with an anti-DIS3 antibody was performed in LCLs from one p.*959Glnext*14 carrier and two wild-type individuals (anti-GAPDH antibody as internal control). The relative DIS3 expression in the p.*959Glnext*14 carrier was reduced by 50% compared to non-carriers, suggesting that the mutant allele is translated but degraded shortly after
DIS3 variants in MM cases. a Pedigrees from families carrying a germline DIS3 variant. Available samples for screening are marked with a “+” symbol. Families A and C carry the p.*959Glnext*14 (c.2875T>C) stop-loss variant. Family B carries the c.1755+1G>T splicing variant and family D carries the c.1883+1G>C splicing variant. The genotype of all screened individuals is shown on each pedigree. WT: wild type. b, c Schematic representation of identified germline and somatic variants in the distinct DIS3 protein domains. b Germline variants were identified through WES and targeted resequencing in families with reoccurrence of MM/MGUS as well as in a collection of sporadic MM cases (MMRF CoMMpass Study). The DIS3 variants discussed in the present study are depicted with a star on the upper part of the figure. c Somatic DIS3 variants were identified in sporadic MM cases from the MMRF CoMMpass Study. We observe that in contrast to the clustering of somatic DIS3 missense variants in the RNB and PIN domains, germline variants are scattered throughout the gene and consist of splicing, stop-loss and missense variantsDIS3 c.1755+1G>T splicing variant results in nonsense-mediated mRNA decay (NMD) and affects mRNA expression, while the c.2875C>T (p.*959Glnext*14) stop-loss variant affects protein levels. a LCLs from patients E18 and E28 (not shown) carrying the c.1755+1G>T splicing variant were cultured with and without puromycin. The chromatogram from treated cells (with puromycin) showed a mixture of the wild-type and mutant transcript lacking exon 13, which was not detected in the non-treated cells (without puromycin). Thus, the mutant transcript is degraded by NMD. b Box plot representing the relative DIS3 mRNA expression in c.1775+1G>A (n=2) and p.*959Glnext*14 (n = 1) carriers compared to non-carriers (n = 4). All reactions were performed in triplicates. c Western blot with an anti-DIS3 antibody was performed in LCLs from one p.*959Glnext*14 carrier and two wild-type individuals (anti-GAPDH antibody as internal control). The relative DIS3 expression in the p.*959Glnext*14 carrier was reduced by 50% compared to non-carriers, suggesting that the mutant allele is translated but degraded shortly afterA third DIS3 variant disrupting the wild-type termination codon (stop-loss) (c.2875T>C; p.*959Gln; chr13:73,333,935; GRCh37/hg19, rs141067458) (Fig. 1b, Supplementary Figure S1b) was identified in two unrelated families (A and C, Fig. 1a). This variant is expected to result in a putative read-through variant and a DIS3 protein with an additional 13 amino acids in the C-terminus (p.*959Glnext*14). It was detected in 3 out of 4 affected siblings (2 MGUS (M63, O53) and 1 MM case (O29)), as well as 5 unaffected relatives (N14, N13, L41, M33 M50) from family A. The Mendelian segregation of this variant in this pedigree is also consistent with germline origin. An additional MM case from family C carried the variant, while we were unable to assess the other MM-afflicted family member (Fig. 1a). As expected of a stop-loss variant, NMD was not observed (data not shown), and gene expression analysis showed no effect on DIS3 mRNA levels (Fig. 2b). However, western blot analysis demonstrated that DIS3 protein levels were markedly lower (~50%) in the p.*959Glnext*14 carrier (O53, family A) compared to non-carriers (Fig. 2b, c).Next, we sought to determine if rare, putative deleterious variants in DIS3 were more frequent in an independent series of MM cases compared to unaffected individuals. We performed mutation burden tests between 781 MM cases and 3534 controls from the MMRF CoMMpass Study with WES data available. After testing for systemic bias in this dataset (see Supplementary Methods, Supplementary Figure S2), we undertook a burden test for association between functional DIS3 variants and MM. DIS3 putative functional variants (truncating and likely deleterious missense variants, see Supplementary Methods) were more frequent among MMpatients (30/781) than controls (72/3534) (OR = 1.92 95%CI:1.25–2.96, p = 0.001). Although the p.*959Glnext*14 stop-loss variant was recurrently found in 10/781 MM cases and 15/3534 controls (OR = 3.07 95%CI:1.38 to 6.87, p = 0.0007), it did not entirely explain the excess of DIS3 variants among cases as there is evidence for association with other putative functional variants (Supplementary Figure S3a). We additionally genotyped the p.*959Glnext*14 stop-loss variant in an independent series of sporadic MM cases and controls from the IMMEnSE Consortium. While this variant was very rare in this series (8/3020 MM cases relative to 3/1786 controls), there was a consistent but non-significant association between this variant and MM (OR = 3.15 95% CI: 0.74–13.43 p = 0.122).To explore the functional consequence of germline DIS3 variants, we compared MMtumor transcriptomes from patients harboring germline (n = 21) and somatic (n = 96) DIS3 putative functional variants to non-carriers (n = 655). Differential expression analyses showed an enrichment of pathways associated with global ncRNA processing and translational termination in germline DIS3 carriers including ncRNA processing, ncRNA metabolic process, translational termination, and RNA metabolism. Among somatic DIS3 carriers, significantly enriched pathways include interferon alpha/beta signalling, mRNA splicing, mRNA processing and transcription (Supplementary Figure S3b, Supplementary tables S3 and S4a–d). These findings are consistent with the proposed DIS3 role in regulating mRNA processing [14] and more specifically mRNA decay, gene expression and small RNA processing [15]. We also observed that, several long-intergenic non-protein coding RNAs, non-coding and antisense RNAs were significantly enriched among DIS3 carriers (Supplementary table S5a, b) supporting previous studies that demonstrate an accumulation of transcripts from non-protein coding regions, snoRNA precursors and certain lncRNAs in DIS3 mutant cells, along a general deregulation of mRNA levels probably due to the sequestration of transcriptional factors from the accumulated nuclear RNAs [16].To our knowledge, this is the first observation of germline DIS3 likely deleterious variants in familial MM and our results suggest that the involvement of DIS3 in MM etiology may extend beyond somatic alterations to germline susceptibility. We reported rare germline DIS3 variants in ~2.6% of our cohort of families with multiple cases of MM and MGUS (4/154). The germline variants described here are predicted to have loss-of-function impact on DIS3. Consistent with this, the 1755+1G>T (rs769194741) splicing variant induces NMD and results in reduced DIS3 mRNA expression, supporting the proposal that DIS3 is acting as a tumor suppressor gene in MM [13]. Moreover, the c.2875T>C (rs141067458) stop-loss variant (p.*959Glnext*14) results in reduced DIS3 protein expression suggesting that the mutant allele is translated but degraded shortly after. Notably, in contrast to the clustering of somatic DIS3 mutations in the PIN and RNB domains, germline variants identified both in familial and sporadic MM cases are scattered throughout the gene (Fig. 1b, c). Despite the fact that these variants do not segregate perfectly with MM in the identified families and the rarity of DIS3 germline likely deleterious variants limits our statistical power, the subsequent mutation burden and transcriptome analyses provided supportive data towards DIS3 acting as an “intermediate-risk” MM susceptibility gene.18-LEU-1250_RevisedManuscript_SupplementaryData
Authors: G J Morgan; D C Johnson; N Weinhold; H Goldschmidt; O Landgren; H T Lynch; K Hemminki; R S Houlston Journal: Leukemia Date: 2013-11-19 Impact factor: 11.528
Authors: Michael A Chapman; Michael S Lawrence; Jonathan J Keats; Kristian Cibulskis; Carrie Sougnez; Anna C Schinzel; Christina L Harview; Jean-Philippe Brunet; Gregory J Ahmann; Mazhar Adli; Kenneth C Anderson; Kristin G Ardlie; Daniel Auclair; Angela Baker; P Leif Bergsagel; Bradley E Bernstein; Yotam Drier; Rafael Fonseca; Stacey B Gabriel; Craig C Hofmeister; Sundar Jagannath; Andrzej J Jakubowiak; Amrita Krishnan; Joan Levy; Ted Liefeld; Sagar Lonial; Scott Mahan; Bunmi Mfuko; Stefano Monti; Louise M Perkins; Robb Onofrio; Trevor J Pugh; S Vincent Rajkumar; Alex H Ramos; David S Siegel; Andrey Sivachenko; A Keith Stewart; Suzanne Trudel; Ravi Vij; Douglas Voet; Wendy Winckler; Todd Zimmerman; John Carpten; Jeff Trent; William C Hahn; Levi A Garraway; Matthew Meyerson; Eric S Lander; Gad Getz; Todd R Golub Journal: Nature Date: 2011-03-24 Impact factor: 49.962
Authors: Teresa Szczepińska; Katarzyna Kalisiak; Rafal Tomecki; Anna Labno; Lukasz S Borowski; Tomasz M Kulinski; Dorota Adamska; Joanna Kosinska; Andrzej Dziembowski Journal: Genome Res Date: 2015-08-20 Impact factor: 9.043
Authors: Jens G Lohr; Petar Stojanov; Scott L Carter; Peter Cruz-Gordillo; Michael S Lawrence; Daniel Auclair; Carrie Sougnez; Birgit Knoechel; Joshua Gould; Gordon Saksena; Kristian Cibulskis; Aaron McKenna; Michael A Chapman; Ravid Straussman; Joan Levy; Louise M Perkins; Jonathan J Keats; Steven E Schumacher; Mara Rosenberg; Gad Getz; Todd R Golub Journal: Cancer Cell Date: 2014-01-13 Impact factor: 31.743
Authors: Niccolo Bolli; Hervé Avet-Loiseau; David C Wedge; Peter Van Loo; Ludmil B Alexandrov; Inigo Martincorena; Kevin J Dawson; Francesco Iorio; Serena Nik-Zainal; Graham R Bignell; Jonathan W Hinton; Yilong Li; Jose M C Tubio; Stuart McLaren; Sarah O' Meara; Adam P Butler; Jon W Teague; Laura Mudie; Elizabeth Anderson; Naim Rashid; Yu-Tzu Tai; Masood A Shammas; Adam S Sperling; Mariateresa Fulciniti; Paul G Richardson; Giovanni Parmigiani; Florence Magrangeas; Stephane Minvielle; Philippe Moreau; Michel Attal; Thierry Facon; P Andrew Futreal; Kenneth C Anderson; Peter J Campbell; Nikhil C Munshi Journal: Nat Commun Date: 2014 Impact factor: 14.919
Authors: Rosalie G Waller; Todd M Darlington; Xiaomu Wei; Michael J Madsen; Alun Thomas; Karen Curtin; Hilary Coon; Venkatesh Rajamanickam; Justin Musinsky; David Jayabalan; Djordje Atanackovic; S Vincent Rajkumar; Shaji Kumar; Susan Slager; Mridu Middha; Perrine Galia; Delphine Demangel; Mohamed Salama; Vijai Joseph; James McKay; Kenneth Offit; Robert J Klein; Steven M Lipkin; Charles Dumontet; Celine M Vachon; Nicola J Camp Journal: PLoS Genet Date: 2018-02-01 Impact factor: 5.917
Authors: Samantha Gadd; Vicki Huff; Andrew D Skol; Lindsay A Renfro; Conrad V Fernandez; Elizabeth A Mullen; Corbin D Jones; Katherine A Hoadley; Kai Lee Yap; Nilsa C Ramirez; Sheena Aris; Quy H Phung; Elizabeth J Perlman Journal: Cell Rep Med Date: 2022-05-25
Authors: Rosalie Griffin Waller; Robert J Klein; Joseph Vijai; James D McKay; Alyssa Clay-Gilmour; Xiaomu Wei; Michael J Madsen; Douglas W Sborov; Karen Curtin; Susan L Slager; Kenneth Offit; Celine M Vachon; Steven M Lipkin; Charles Dumontet; Nicola J Camp Journal: Hum Mol Genet Date: 2021-06-09 Impact factor: 6.150
Authors: Anna Y Aksenova; Anna S Zhuk; Artem G Lada; Irina V Zotova; Elena I Stepchenkova; Ivan I Kostroma; Sergey V Gritsaev; Youri I Pavlov Journal: Cancers (Basel) Date: 2021-11-26 Impact factor: 6.639
Authors: Alyssa I Clay-Gilmour; Michelle A T Hildebrandt; Elizabeth E Brown; Jonathan N Hofmann; John J Spinelli; Graham G Giles; Wendy Cozen; Parveen Bhatti; Xifeng Wu; Rosalie G Waller; Alem A Belachew; Dennis P Robinson; Aaron D Norman; Jason P Sinnwell; Sonja I Berndt; S Vincent Rajkumar; Shaji K Kumar; Stephen J Chanock; Mitchell J Machiela; Roger L Milne; Susan L Slager; Nicola J Camp; Elad Ziv; Celine M Vachon Journal: Blood Adv Date: 2020-06-23