Back to Authors

Yang, Jun J.J.

0000-0002-0770-9659

Mayo Clinic

St. Jude Children's Research Hospital

Citations 17

Enhancer Hijacking Drives Oncogenic BCL11B Expression in Lineage-Ambiguous Stem Cell Leukemia
Bendig, Sonja , Gu, Zhaohui , Chen, Xiaolong , Ma, Xiaotu , Murison, Alex, Zeng, Andy G.X. , Dickerson, Kirsten , Mead, Paul E., Mehr, Cyrus M., Xu, Beisi , Cheng, Zhongshan , Chang, Ti‐Cheng , Westover, Tamara , Ma, Jing , Stengel, Anna , Kimura, Shunsuke , Valentine, Marcus B., Rashkovan, Marissa , Luger, Selina M. , Litzow, Mark R. , Rowe, Jacob M. , Wang, Victoria , Yin, Jun , Loh, Mignon L. , Crews, Kristine R. , Relling, Mary V. , Evans, William E. , Paietta, Elisabeth , Ferrando, Adolfo A. , Zhang, Jinghui , Kern, Wolfgang , Haferlach, Torsten , Dick, John E. , Klco, Jeffery M. , Gu, Zhaohui , Chen, Xiaolong , Ma, Xiaotu , Abdelhamed, Sherif , Xu, Beisi , Kimura, Shunsuke , Rashkovan, Marissa , den Boer, Monique L , Yin, Jun , Hunger, Stephen P , Pui, Ching-Hon , Yang, Wenjian , Crews, Kristine R , Roberts, Kathryn G , Stock, Wendy , Zhang, Jinghui , Dick, John E , Klco, Jeffery M , Mullighan, Charles G , Loh, Mignon L , Kern, Wolfgang , Montefiori, Lindsey E. , Pölönen, Petri , García‐Prat, Laura , Iacobucci, Ilaria , Hiltenbrand, Ryan , Qu, Chunxu , Kornblau, Steven M. , Hunger, Stephen P. , Yang, Wenjian , Roberts, Kathryn G. , Yang, Jun J.J. , Stock, Wendy , Wu, Gang , Haferlach, Claudia , Mullighan, Charles G.

Cancer Discovery | June 8, 2021 | Volume: 11 | Issue: 11 | Pages: 2846-2867

10.1158/2159-8290.cd-21-0145 Get It

Abstract Lineage-ambiguous leukemias are high-risk malignancies of poorly understood genetic basis. Here, we describe a distinct subgroup of acute leukemia with expression of myeloid, T lymphoid, and stem cell markers driven by aberrant allele-specific deregulation of BCL11B, a master transcription factor responsible for thymic T-lineage commitment and specification. Mechanistically, this deregulation was driven by chromosomal rearrangements that juxtapose BCL11B to superenhancers active in hematopoietic progenitors, or focal amplifications that generate a superenhancer from a noncoding element distal to BCL11B. Chromatin conformation analyses demonstrated long-range interactions of rearranged enhancers with the expressed BCL11B allele and association of BCL11B with activated hematopoietic progenitor cell cis-regulatory elements, suggesting BCL11B is aberrantly co-opted into a gene regulatory network that drives transformation by maintaining a progenitor state. These data support a role for ectopic BCL11B expression in primitive hematopoietic cells mediated by enhancer hijacking as an oncogenic driver of human lineage-ambiguous leukemia. Significance: Lineage-ambiguous leukemias pose significant diagnostic and therapeutic challenges due to a poorly understood molecular and cellular basis. We identify oncogenic deregulation of BCL11B driven by diverse structural alterations, including de novo superenhancer generation, as the driving feature of a subset of lineage-ambiguous leukemias that transcend current diagnostic boundaries. This article is highlighted in the In This Issue feature, p. 2659
Development of a Data Portal for Aggregation and Analysis of Genomics Data in Familial Platelet Disorder with Predisposition to Myeloid Malignancy - the RUNX1.DB
Armstrong, M. , Tawana, Kiran , Degelman, Erin, Natsoulis, Georges, Patnaik, Mrinal M. , Schlegelberger, Brigitte , Mecucci, Cristina , Velloso, Elvira DRP, Santos, Fabio P S, Silva, Marcela CA, Borate, Uma , Nalepa, Grzegorz, Ragg, Susanne , Kwon, Erika M., Agarwal, Anupriya , Klco, Jeffery M. , Forsyth, Cecily , Mapp, Sally , Fan, Helen Mar , Rawlings, Lesley , Susman, Rachel , Morgan, Sue , Vulliamy, Tom, Papaemmanuil, Elli , Fröhling, Stefan , Krämer, Alwin , Owen, Carolyn , Rienhoff, Hugh Young , Kurokawa, Mineo , Liu, Paul , Brown, Anna , Armstrong, Mark, Lawrence, David , Wang, Paul Po-Shen , Arts, Peer , Duployez, Nicolas , Churpek, Jane E. , Guzmán, Mónica L. , Shimamura, Akiko , Cantor, Alan B , Ripperger, Tim , Steinemann, Doris , DiNardo, Courtney D. , Velloso, Elvira Deolinda Rodrigues Pereira , McWeeney, Shannon K. , Nalepa, Grzegorz , Langabeer, Stephen E. , Yang, Jun J.J. , Morgan, Sue, Wei, Andrew H. , Dokal, Inderjeet S , Hiwase, Devendra , Singhal, Deepak , Branford, Susan , Soulier, Jean , Sauvageau, Guy , Morgan, Neil V. , Bödör, Csaba , Fitzgibbon, Jude , Godley, Lucy A. , Preudhomme, Claude , Poplawski, Nicola Kazia , Hahn, Christopher N , Scott, Hamish S.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 5241-5241

10.1182/blood-2018-99-118017 Get It

Abstract Background: It has been known for approximately 19 years that germline mutations in RUNX1, lead to familial platelet disorder with predisposition to myeloid malignancy (FPD-MM, OMIM 601399). Since that time researchers have identified a broad range of different RUNX1 mutations, in over 100 families. In large families, the diagnosis of malignancy shows variable penetrance among family members with the same mutation; some carriers of RUNX1 mutations do not develop malignancy. The causes of this heterogeneity are currently not known, complicating counselling and risk analysis for individual carriers. Recent advances in genetic sequencing technology applied by many FPD-MM research groups around the world have highlighted their value in understanding the somatic genetic changes that are associated with development of malignancies in germline RUNX1 mutation carriers. Collectively this information could lead to powerful insights essential for more precise risk assessment, monitoring, and therapeutic intervention. Specifically, a growing catalogue of somatic mutations associated with germline RUNX1 malignancy offers the opportunity for informed monitoring of asymptomatic RUNX1 carriers for additional high-risk somatic mutations, in turn providing the possibility for early therapeutic intervention to arrest the leukemic process. The challenge in advancing these goals for FPD-MM is the relative rarity of the disorder in individual populations. Global data sharing in a highly interactive FPD-MM research community offers a solution to this problem that benefits all patients world-wide. Aims: To create a global RUNX1 network through identifying and contacting researchers and clinicians with known and novel germline RUNX1 families, seeking their collaboration to share genomics data. To create a RUNX1.db portal to collectively house and analyse genomics data from germline RUNX1 carriers, with associated phenotype and clinical information, such that researchers have an ongoing means by which to combine their data with those generated by other groups around the world. Methods: RUNX1 network : Through existing collaborative networks, a systematic review of the literature, and referrals from initial contacts, we have identified a global network of researchers managing FPD-MM cases and families. RUNX1.db: We have adapted a custom-built variant analysis platform, VariantGrid, that is a visual web application and database designed to help scientists manage and analyse DNA variants that can be used to aggregate and analyse multiple datasets. Results: Preliminary analysis of aggregated data from the literature suggests there are features of germline RUNX1 syndrome that can be ascertained. These include frequent somatic mutation of RUNX1 in malignancy development, as well as mutations in genes associated with clonal hematopoiesis that may precede development of overt leukemia. This analysis also suggests that different types of germline RUNX1 mutations may be associated with different combinations of somatic mutations in the tumour. To further this analysis, we have identified over 70 groups internationally that either manage RUNX1 families or have identified potential germline carriers through genomics initiatives. This represents a large and growing resource for both scientific studies and clinical programs to benefit individuals with FPD-MM. Many of these groups have generated NGS data sets from patient samples which will be available for analysis through this portal. Further details and activities of the network, and results from the genomics aggregation database will be presented. Conclusion: We have created a global RUNX1 network, aggregated their data, and generated a RUNX1.db genomics portal for the continuous curation of genomics data from germline RUNX1 carriers. A preliminary analysis has already identified specific features of germline RUNX1 mutated malignancies that have clinical importance. Ongoing scientific and clinical studies through the RUNX1 network will enhance the power of aggregated data analysis, with RUNX1.db providing a central link, driving new insights that benefit patients. Disclosures Natsoulis: Imago BioSciences, Inc.: Consultancy, Equity Ownership. Guzman:Cellectis: Research Funding. DiNardo:Bayer: Honoraria; Karyopharm: Honoraria; Celgene: Honoraria; Agios: Consultancy; Medimmune: Honoraria; Abbvie: Honoraria. Borate:Novartis: Consultancy; Agios: Consultancy. Wei:Amgen: Honoraria, Other: Advisory committee, Research Funding; Pfizer: Honoraria, Other: Advisory committee; Celgene: Honoraria, Other: Advisory committee, Research Funding; Abbvie: Honoraria, Other: Advisory board, Research Funding, Speakers Bureau; Servier: Consultancy, Honoraria, Other: Advisory committee, Research Funding; Novartis: Honoraria, Other: Advisory committee, Research Funding, Speakers Bureau. Dokal:MRC, Bloodwise, Telomerase Activator Sciences: Research Funding; The Gary Woodward Dyskeratosis Congenita Trust: Membership on an entity's Board of Directors or advisory committees; Action Medical Research, European School of Haematology: Membership on an entity's Board of Directors or advisory committees; Barts and The London School of Medicine and Dentistry, Queen Mary University of London,: Employment, Research Funding; Telomerase Activator Sciences: Research Funding; Barts and The London, Queen Mary University of London: Employment; Gary Woodward Dyskeratois Congenita Trust: Membership on an entity's Board of Directors or advisory committees. Hiwase:Novartis: Research Funding; Celgene: Research Funding. Branford:Cepheid: Honoraria; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Qiagen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Kramer:Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Research Funding; Daiichi Sankyo: Consultancy. Owen:Merck: Honoraria; Teva: Honoraria; AbbVie: Research Funding; Pharmacyclics: Research Funding; Janssen: Honoraria, Research Funding; Celgene: Research Funding; AstraZeneca: Honoraria, Research Funding; F. Hoffmann-La Roche Ltd: Honoraria, Research Funding. Fitzgibbon:Epizyme: Consultancy, Research Funding; Gilead: Consultancy. Rienhoff:Imago BioSciences, Inc.: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Kurokawa:Astellas Pharma: Research Funding; Sumitomo Dainippon Pharma: Research Funding; Nippon Sinyaku: Honoraria, Research Funding; Kyowa Hakko Kirin: Honoraria, Research Funding; Eizai: Research Funding; MSD: Honoraria, Research Funding; Ono Pharmaceutical: Honoraria, Research Funding; Pfizer: Research Funding; Takeda Pharmaceutical: Research Funding; Otsuka Pharmaceutical: Research Funding; Teijin Pharma: Research Funding; Chugai Pharmaceutical: Research Funding.
Characterization of Novel Subtypes in B Progenitor Acute Lymphoblastic Leukemia
Gu, Zhaohui , Moore, Ian, Hagiwara, Kohei , Gingras, S., Berns, Hartmut , Payne-Turner, Debbie , Hill, Ashley, Pounds, Stanley , Pei, Deqing, Dai, Yunfeng , Reshmi, Shalini C. , Foster, Julie Gastier, Raetz, Elizabeth A. , Borowitz, Michael J., Carroll, William L. , McKay, Patrick Zweider, Mattano, Leonard A. , Maloney, Kelly W. , Rambaldi, Alessandro , Radich, Jerald P. , Minden, Mark D. , Rowe, Jacob M. , Luger, Selina M. , Litzow, Mark R. , Tallman, Martin S. , Recevskis, Janis, Zhang, Yanming , Kohlschmidt, Jessica, Bloomfield, Clara D. , Konopleva, Marina , Evans, William E. , Paietta, Elisabeth , Relling, Mary V. , Zhang, Jinghui , Rambaldi, Alessandro , Pounds, Stanley B , Churchman, Michelle L. , Roberts, Kathryn G. , Zhou, Xin , Nakitandwe, Joy , Pelletier, S. William , Iacobucci, Ilaria , Shi, Lei Gang , Cheng, Cheng , Qu, Chunxu , Devidas, Meenakshi , Wood, Brent L. , Rabin, Karen R. , Spinelli, Orietta , Bhatia, Ravi , Mrózek, Krzysztof , Stock, Wendy , Kornblau, Steven M. , Kantarjian, Hagop M. , Jeha, Sima , Pui, Ching-Hon , Yang, Jun J.J. , Downing, James R. , Loh, Mignon L. , Hunger, Stephen P. , Mullighan, Charles G.

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 565-565

10.1182/blood-2018-99-111219 Get It

Abstract Introduction B progenitor acute lymphoblastic leukemia (B-ALL) is a leading cause of childhood cancer death. Many chimeric genes have been identified and led to a refined classification of B-ALL and tailored therapies. Still, up to 30% of B-ALL cannot be classified into established subtypes, and the outcome for many is poor. Methods To identify novel subtypes of B-ALL, we performed integrative genomic analysis including transcriptome sequencing (RNA-seq) of 1,988 cases from St. Jude, Children's Oncology Group and adult cooperative group studies and analyzed chromosomal rearrangements, gene-expression profiles (GEP), somatic mutations and chromosome-level copy-number alterations. Cases lacking known or putative subtype-defining alterations underwent whole genome sequencing. Effects on proliferation and transformation of novel lesions were assessed by retroviral expression in cell lines and point-mutation knock-in mice using CRISPR/Cas9 genome editing. Results Using integrated genetic alterations and gene expression profiling, we classified 23 B-ALL subtypes (Table and Figure). Three groups included cases with similar GEP as canonical subtypes (ETV6-RUNX1, KMT2A-rearranged, and ZNF384-rearranged), but lacking the expected drivers (e.g., ETV6-RUNX1-like, n=42). Eighteen cases (0.9%) had rearrangements of BCL2, MYC and/or BCL6 showing a distinct GEP; they were mostly adults (n=16) with very poor outcome. These alterations, rarely seen in ALL, are identical to those observed in "double/triple hit" lymphoma, and are of pre-B immunophenotype. Eight cases with tightly clustered GEP comprised a novel subtype defined by IKZF1 N159Y missense mutation. N159Y is in the DNA-binding domain of IKZF1, and is known to perturb IKZF1 function, with distinct nuclear mislocalization and induction of aberrant intercellular adhesion. We identified two subtypes with distinct GEP characterized by PAX5 alterations. One, herein termed PAX5 altered (PAX5alt), comprised 148 (7.4%) cases, was characterized by diverse PAX5 alterations including rearrangements (n=57), sequence mutations (n=46) and/or focal intragenic amplifications (n=8). These PAX5 alterations were found in 73.6% of PAX5alt cases and different alteration types were mutually exclusive. Other PAX5 alterations, including deletions and large-scale amplifications were also assessed using SNP array, but were not enriched in the PAX5alt group. Clinically, PAX5alt pediatric and adult patients had favorable (96.8±3.2%) and intermediate (42.1±10.2%) 5-year overall survival (OS), respectively. The other GEP distinct subtype comprised 44 cases, all with PAX5 P80R missense mutations. In 30 of these cases, PAX5 P80R was homozygous due to deletion of the wild-type (WT) PAX5 allele or copy-neutral loss of heterozygosity. Of the other 14 cases with heterozygous PAX5 P80R mutations, 13 had a second frameshift (n=7), nonsense (n=2) or deleterious missense (n=4) PAX5 mutation. Four of the remaining 1,944 cases also had the PAX5 P80R mutation, but all were heterozygous with preservation of a WT PAX5 allele, consistent with the notion that homozygous or compound heterozygous PAX5 P80R mutation is the hallmark of this subtype. Adult PAX5 P80R cases (n=14) showed better 5-year OS (61.9±13.4%) than those in PAX5alt subtype (42.1±10.2%). To examine the effects of PAX5 P80R on B-cell maturation, WT PAX5, PAX5 P80R, V26G and P34Q were expressed in Pax5-/- lineage-depleted bone marrow cells. Expression of WT PAX5, PAX5 V26G and P34Q resulted in near complete rescue of B cell differentiation; however, expression of PAX5 P80R blocked the differentiation at the pre-pro-B stage of B-cell maturation. Further, Pax5 P80R heterozygous or homozygous mice developed pre-B-ALL with a median latency of 166 and 87 days, respectively, with heterozygous mice acquiring alterations on the second allele. In contrast, Pax5+/- mice, and those harboring G183S mutation observed in familial leukemia, do not spontaneously develop B-ALL. Conclusions These results show the utility of transcriptome sequencing in defining subtypes and founding genetic alterations in B-ALL, provide a revised taxonomy of the disease across the age spectrum, and reinforce the central role of PAX5 as a checkpoint in B lymphoid maturation and leukemogenesis. Disclosures McKay: ImmunoGen Inc.: Employment. Tallman:Orsenix: Other: Advisory board; AROG: Research Funding; BioSight: Other: Advisory board; Cellerant: Research Funding; AbbVie: Research Funding; Daiichi-Sankyo: Other: Advisory board; ADC Therapeutics: Research Funding. Stock:Jazz Pharmaceuticals: Consultancy. Konopleva:Stemline Therapeutics: Research Funding. Relling:Shire Pharmaceuticals: Research Funding. Mullighan:Cancer Prevention and Research Institute of Texas: Consultancy; Amgen: Honoraria, Speakers Bureau; Abbvie: Research Funding; Loxo Oncology: Research Funding; Pfizer: Honoraria, Research Funding, Speakers Bureau.
A Genome-Wide Association Study of Susceptibility to Acute Lymphoblastic Leukemia in Adolescents and Young Adults
Pérez-Andreu, Virginia, Heng, Xu, Zhang, Hui , Payne-Turner, Debbie , Cheng, I-Ming, Carroll, William L. , Heerema, Nyla A. , Carroll, Andrew J. , Raetz, Elizabeth A. , Marcucci, Guido , Bloomfield, Clara D. , Kohlschmidt, Jessica, Konopleva, Marina , Paietta, Elisabeth , Rowe, Jacob M. , Luger, Selina M. , Tallman, Martin S. , Relling, Mary V. , Evans, William E. , Gerhard, Daniela S., Roberts, Kathryn G. , Smith, Colton J. , Yang, Wenjian , Harvey, Richard C. , Devidas, Meenakshi , Gastier‐Foster, Julie M. , Mrózek, Krzysztof , Stock, Wendy , Kornblau, Steven M. , Pui, Ching-Hon , Jeha, Sima , Loh, Mignon L. , Willman, Cheryl L. , Hunger, Stephen P. , Mullighan, Charles G. , Yang, Jun J.J.

Blood | October 9, 2019 | Volume: 124 | Issue: 21 | Pages: 132-132

10.1182/blood.v124.21.132.132 Get It

Abstract Acute lymphoblastic leukemia (ALL) in adolescents and young adults (AYA) is characterized by distinct presenting features and inferior prognosis compared to pediatric ALL. Age, as a continuous variable, is negatively correlated with prognosis, in spite of risk-adapted combination chemotherapy. To better understand the etiology of ALL in this age group, we performed the first genome-wide association study (GWAS) to comprehensively examine germline single nucleotide polymorphisms (SNPs) for their association with susceptibility to B-ALL in AYAs. In the discovery GWAS, we compared genotype frequency at 635,297 SNPs between 308 AYA ALL cases (age 16-39 years, treated on the Children’s Oncology Group [COG], the Alliance-Cancer and Leukemia Group B, Eastern Cooperative Oncology Group, MD Anderson Cancer Center, and St. Jude Children’s Research Hospital trials) vs. 6,661 non-ALL controls. The association between genotypes at each SNP and ALL susceptibility was tested by using a logistic regression model after adjusting for genetic ancestries to control for population stratification. SNPs that reached P≤ 5×10-8 in the discovery GWAS were tested in an independent cohort of 82 AYA ALL cases from the COG protocols and 5,755 non-ALL controls. We identified a single genome-wide significant susceptibility locus on 10p14 signified by two SNPs within the GATA3 gene: rs3824662, P=2.8x10-10, odds ratio (OR)=1.77; rs3781093, P=3.2x10-9, OR=1.73, both of which were validated in the replication cohort (P=1.9x10-8 and P=4.3x10-5, respectively). We also examined the association signals in AYAs for susceptibility loci previously identified in pediatric ALL: ARID5B, IKZF1 and PIP4K2A variants were nominally significant in AYAs in the discovery GWAS and/or in the replication analysis, whereas CEBPE or CDKN2A/CDKN2B were not significant. These results imply both similarities and differences in genetic predisposition to ALL between children and AYAs. At the GATA3 locus, rs3824662 risk variant was over-represented in Philadelphia chromosome (Ph)-like ALL in AYAs (P=0.02), confirming our previous report of Ph-like ALL susceptibility variants in GATA3 (Nat Genet 45:1494). Importantly, even after excluding Ph-like cases, rs3824662 remained associated with the risk of developing ALL in AYAs, suggesting that the influence of the GATA3risk variant on ALL susceptibility in AYAs extends beyond the predisposition to Ph-like subtype. We next examined the relationship between GATA3 risk allele frequency and age at diagnosis in a cohort of unselected childhood and adolescent ALL cases enrolled in the COG P9900 protocols (N=1,827). Dividing patients into four consecutives age groups (<5, 5-10, 10-15 and >15 years), we observed a clear progressive increase in the risk allele frequency at rs3824662 (P=6.29×10-11) with increasing allelic odds ratio (i.e. relative risk of ALL conferred by each copy of the risk allele). This correlation between genotype and age was evident regardless of genetic ancestry, although the risk variant was more common among individuals with higher Native American ancestry. In contrast, the frequency of ALL susceptibility variant in ARID5B decreased progressively with increasing age at diagnosis (P=0.006), whereas PIP4K2A, CDKN2A/CDKN2B, IKZF1 and CEBPE variants were not related to age. Finally, we compared rs3824662 risk variant frequency by age in the COG P9900 protocols after stratifying the ALL cases into TCF3-PBX1, ETV6-RUNX1, hyperdiploid, MLL-rearranged and B-other. There was a trend that the risk allele was more frequent in cases older than 16 years compared to those below 16 in the five subtypes examined. In conclusion, we have identified inherited GATA3 genetic variants that strongly influence ALL susceptibility in adolescent and young adults, indicating potential age-related differences in ALL biology. Disclosures No relevant conflicts of interest to declare.
Clinical Pharmacogenetics Implementation Consortium Guideline for Thiopurine Dosing Based on TPMT and N
Relling, Mary V. , Schwab, Matthias , Whirl‐Carrillo, Michelle , Suarez‐Kurtz, Guilherme , Pui, Ching‐Hon, Stein, Charles, Moyer, Ann M. , Evans, William E. , Klein, Teri E. , Antillon‐Klussmann, Federico Guillermo, Caudle, Kelly E. , Yeoh, Allen Eng Juh , Antillón‐Klussmann, Federico , Yang, Jun J.J. , Whirl-Carrillo, Michelle , Klein, Teri E , Yeoh, Allen E J , Pui, Ching-Hon , Kato, Motohiro , Schmiegelow, Kjeld , Schwab, Matthias

Clinical Pharmacology & Therapeutics | November 17, 2018 | Volume: 105 | Issue: 5 | Pages: 1095-1105

10.1002/cpt.1304 Get It

Thiopurine methyltransferase (TPMT) activity exhibits a monogenic codominant inheritance and catabolizes thiopurines. TPMT variant alleles are associated with low enzyme activity and pronounced pharmacologic effects of thiopurines. Loss‐of‐function alleles in the NUDT15 gene are common in Asians and Hispanics and reduce the degradation of active thiopurine nucleotide metabolites, also predisposing to myelosuppression. We provide recommendations for adjusting starting doses of azathioprine, mercaptopurine, and thioguanine based on TPMT and NUDT15 genotypes (updates on www.cpicpgx.org ).
A genome-wide association study of susceptibility to acute lymphoblastic leukemia in adolescents and young adults
Pérez-Andreu, Virginia, Zhang, Hui , Harvey, Richard C. , Payne-Turner, Debbie , Cheng, I-Ming, Carroll, William L. , Heerema, Nyla A. , Carroll, Andrew J. , Raetz, Elizabeth A. , Marcucci, Guido , Bloomfield, Clara D. , Mrózek, Krzysztof , Kohlschmidt, Jessica, Konopleva, Marina , Paietta, Elisabeth , Rowe, Jacob M. , Luger, Selina M. , Tallman, Martin S. , Dean, Michael , Torgerson, Dara G., Wang, Yanli , Relling, Mary V. , Evans, William E. , Gerhard, Daniela S., Loh, Mignon L. , Mullighan, Charles G. , Roberts, Kathryn G. , Xu, Heng Yi , Smith, Colton J. , Yang, Wenjian , Devidas, Meenakshi , Gastier‐Foster, Julie M. , Stock, Wendy , Kornblau, Steven M. , Burchard, Esteban G. , Yue, Feng , Pui, Ching-Hon , Jeha, Sima , Willman, Cheryl L. , Hunger, Stephen P. , Yang, Jun J.J. , Mullighan, Charles G , Harvey, Richard , Loh, Mignon L , Dean, Michael

Blood | December 3, 2014 | Volume: 125 | Issue: 4 | Pages: 680-686

10.1182/blood-2014-09-595744 Get It

Key PointsIn this first ALL GWAS in AYAs, we determined that inherited GATA3 variants strongly influence ALL susceptibility in this age group. These findings revealed similarities and differences in the genetic basis of ALL susceptibility between young children and AYAs.
Conference Scene: Lessons Learned from the 5th Statistical Analysis Workshop of the Pharmacogenetics Research Network
Atkinson, Elizabeth J. , McDonnell, Shannon K. , Witte, John S. , Crawford, Dana C. , Fan, Yiping , Li, Lang , Rodin, Andréi S. , Speed, Terry, Yerges, Laura, Schaid, Daniel J. , Fridley, Brooke L. , Li, Dalin , Sadée, Wolfgang , Speed, Terry, Weiss, Scott T. , Yang, Jun J.J. , McDonnell, Shannon K

Pharmacogenomics | March 17, 2010 | Volume: 11 | Issue: 3 | Pages: 297-303

10.2217/pgs.10.5 Get It