Predicted leukocyte telomere length and risk of germ cell tumours.


Journal

British journal of cancer
ISSN: 1532-1827
Titre abrégé: Br J Cancer
Pays: England
ID NLM: 0370635

Informations de publication

Date de publication:
07 2022
Historique:
received: 06 05 2021
accepted: 17 03 2022
revised: 04 03 2022
pubmed: 4 4 2022
medline: 22 7 2022
entrez: 3 4 2022
Statut: ppublish

Résumé

Genetically predicted leukocyte telomere length (LTL) has been evaluated in several studies of childhood and adult cancer. We test whether genetically predicted longer LTL is associated with germ cell tumours (GCT) in children and adults. Paediatric GCT samples were obtained from a Children's Oncology Group study and state biobank programs in California and Michigan (N = 1413 cases, 1220 biological parents and 1022 unrelated controls). Replication analysis included 396 adult testicular GCTs (TGCT) and 1589 matched controls from the UK Biobank. Mendelian randomisation was used to look at the association between genetically predicted LTL and GCTs and TERT variants were evaluated within GCT subgroups. We identified significant associations between TERT variants reported in previous adult TGCT GWAS in paediatric GCT: TERT/rs2736100-C (OR = 0.82; P = 0.0003), TERT/rs2853677-G (OR = 0.80; P = 0.001), and TERT/rs7705526-A (OR = 0.81; P = 0.003). We also extended these findings to females and tumours outside the testes. In contrast, we did not observe strong evidence for an association between genetically predicted LTL by other variants and GCT risk in children or adults. While TERT is a known susceptibility locus for GCT, our results suggest that LTL predicted by other variants is not strongly associated with risk in either children or adults.

Sections du résumé

BACKGROUND
Genetically predicted leukocyte telomere length (LTL) has been evaluated in several studies of childhood and adult cancer. We test whether genetically predicted longer LTL is associated with germ cell tumours (GCT) in children and adults.
METHODS
Paediatric GCT samples were obtained from a Children's Oncology Group study and state biobank programs in California and Michigan (N = 1413 cases, 1220 biological parents and 1022 unrelated controls). Replication analysis included 396 adult testicular GCTs (TGCT) and 1589 matched controls from the UK Biobank. Mendelian randomisation was used to look at the association between genetically predicted LTL and GCTs and TERT variants were evaluated within GCT subgroups.
RESULTS
We identified significant associations between TERT variants reported in previous adult TGCT GWAS in paediatric GCT: TERT/rs2736100-C (OR = 0.82; P = 0.0003), TERT/rs2853677-G (OR = 0.80; P = 0.001), and TERT/rs7705526-A (OR = 0.81; P = 0.003). We also extended these findings to females and tumours outside the testes. In contrast, we did not observe strong evidence for an association between genetically predicted LTL by other variants and GCT risk in children or adults.
CONCLUSION
While TERT is a known susceptibility locus for GCT, our results suggest that LTL predicted by other variants is not strongly associated with risk in either children or adults.

Identifiants

pubmed: 35368045
doi: 10.1038/s41416-022-01798-3
pii: 10.1038/s41416-022-01798-3
pmc: PMC9296514
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

301-312

Subventions

Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : R01 CA151284
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180899
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180886
Pays : United States
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom

Informations de copyright

© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Références

Hug N, Lingner J. Telomere length homeostasis. Chromosoma. 2006;115:413–25.
pubmed: 16741708 doi: 10.1007/s00412-006-0067-3
Needham BL, Adler N, Gregorich S, Rehkopf D, Lin J, Blackburn EH, et al. Socioeconomic status, health behavior, and leukocyte telomere length in the National Health and Nutrition Examination Survey, 1999–2002. Soc Sci Med. 2013;85:1–8.
pubmed: 23540359 pmcid: 3666871 doi: 10.1016/j.socscimed.2013.02.023
Brown L, Needham B, Ailshire J. Telomere length among older U.S. adults: differences by race/ethnicity, gender, and age. J Aging Health. 2017;29:1350–66.
pubmed: 27469599 doi: 10.1177/0898264316661390
Vaziri H, Dragowska W, Allsopp RC, Thomas TE, Harley CB, Lansdorp PM. Evidence for a mitotic clock in human hematopoietic stem cells: loss of telomeric DNA with age. Proc Natl Acad Sci USA. 1994;91:9857–60.
pubmed: 7937905 pmcid: 44916 doi: 10.1073/pnas.91.21.9857
Smith EM, Pendlebury DF, Nandakumar J. Structural biology of telomeres and telomerase. Cell Mol Life Sci. 2020;77:61–79.
pubmed: 31728577 doi: 10.1007/s00018-019-03369-x
Shay JW. Role of telomeres and telomerase in aging and cancer. Cancer Discov. 2016;6:584–93.
pubmed: 27029895 pmcid: 4893918 doi: 10.1158/2159-8290.CD-16-0062
Wentzensen IM, Mirabello L, Pfeiffer RM, Savage SA. The association of telomere length and cancer: a meta-analysis. Cancer Epidemiol Biomark Prev. 2011;20:1238–50.
doi: 10.1158/1055-9965.EPI-11-0005
Okamoto K, Seimiya H. Revisiting telomere shortening in cancer. Cells. 2019;8:107.
pmcid: 6406355 doi: 10.3390/cells8020107
Ma H, Zhou Z, Wei S, Liu Z, Pooley KA, Dunning AM, et al. Shortened telomere length is associated with increased risk of cancer: a meta-analysis. PLoS ONE. 2011;6:e20466.
Pooley KA, Sandhu MS, Tyrer J, Shah M, Driver KE, Luben RN, et al. Telomere length in prospective and retrospective cancer case-control studies. Cancer Res. 2010;70:3170–6.
pubmed: 20395204 pmcid: 2855947 doi: 10.1158/0008-5472.CAN-09-4595
Steenstrup T, Hjelmborg JVB, Kark JD, Christensen K, Aviv A. The telomere lengthening conundrum - Artifact or biology? Nucleic Acids Res. 2013;41:1–7.
doi: 10.1093/nar/gkt370
Baird DM. Mechanisms of telomeric instability. Cytogenetic Genome Res. 2009;122:308–14.
doi: 10.1159/000167817
Kawanishi S, Oikawa S. Mechanism of telomere shortening by oxidative stress. Ann N. Y Acad Sci. 2004;1019:278–84.
pubmed: 15247029 doi: 10.1196/annals.1297.047
Valdes AM, Andrew T, Gardner JP, Kimura M, Oelsner E, Cherkas LF, et al. Obesity, cigarette smoking, and telomere length in women. Lancet-. 2005;366:662–4.
pubmed: 16112303 doi: 10.1016/S0140-6736(05)66630-5
Turner KJ. Telomere biology and human phenotype. Cells. 2019;8:73.
Factor-Litvak P, Susser E, Kezios K, McKeague I, Kark JD, Hoffman M, et al. Leukocyte telomere length in newborns: implications for the role of telomeres in human disease. Pediatrics. 2016;137:e20153927.
pubmed: 26969272 pmcid: 4811318 doi: 10.1542/peds.2015-3927
Oosterhuis JW, Looijenga LHJ. Human germ cell tumours from a developmental perspective. Nat Rev Cancer. 2019;19:522–37.
pubmed: 31413324 doi: 10.1038/s41568-019-0178-9
Poynter JN, Amatruda JF, Ross JA. Trends in incidence and survival of pediatric and adolescent patients with germ cell tumors in the United States, 1975 to 2006. Cancer. 2010;116:4882–91.
pubmed: 20597129 doi: 10.1002/cncr.25454
Rajpert-De Meyts E, McGlynn KA, Okamoto K, Jewett MAS, Bokemeyer C. Testicular germ cell tumours. Lancet. 2016;387:1762–74.
pubmed: 26651223 doi: 10.1016/S0140-6736(15)00991-5
Litchfield K, Thomsen H, Mitchell JS, Sundquist J, Houlston RS, Hemminki K, et al. Quantifying the heritability of testicular germ cell tumour using both population-based and genomic approaches. Sci Rep. 2015;5:1–7.
doi: 10.1038/srep13889
Sampson JN, Wheeler WA, Yeager M, Panagiotou O, Wang Z, Berndt SI, et al. Analysis of heritability and shared heritability based on genome-wide association studies for thirteen cancer types. J Natl Cancer Inst. 2015;107:djv279.
pubmed: 26464424 pmcid: 4806328 doi: 10.1093/jnci/djv279
Turnbull C, Rapley EA, Seal S, Pernet D, Renwick A, Hughes D, et al. Variants near DMRT1, TERT and ATF7IP are associated with testicular germ cell cancer. Nat Genet. 2010;42:604–7.
pubmed: 20543847 pmcid: 3773909 doi: 10.1038/ng.607
Litchfield K, Levy M, Orlando G, Loveday C, Law PJ, Migliorini G, et al. Identification of 19 new risk loci and potential regulatory mechanisms influencing susceptibility to testicular germ cell tumor. Nat Genet. 2017;49:1133–40.
pubmed: 28604728 pmcid: 6016736 doi: 10.1038/ng.3896
Wang Z, McGlynn KA, Rajpert-De Meyts E, Bishop DT, Chung CC, Dalgaard MD, et al. Meta-analysis of five genome-wide association studies identifies multiple new loci associated with testicular germ cell tumor. Nat Genet. 2017;49:1141–6.
pubmed: 28604732 pmcid: 5490654 doi: 10.1038/ng.3879
Ruark E, Seal S, McDonald H, Zhang F, Elliot A, Lau K, et al. Identification of nine new susceptibility loci for testicular cancer, including variants near DAZL and PRDM14. Nat Genet. 2013;45:686–9.
pubmed: 23666240 doi: 10.1038/ng.2635
Pooley KA, Bojesen SE, Weischer M, Nielsen SF, Thompson D, Amin Al Olama A, et al. A genome-wide association scan (GWAS) for mean telomere length within the COGS project: identified loci show little association with hormone-related cancer risk. Hum Mol Genet. 2013;22:5056–64.
pubmed: 23900074 pmcid: 3836481 doi: 10.1093/hmg/ddt355
Codd V, Nelson CP, Albrecht E, Mangino M, Deelen J, Buxton JL, et al. Identification of seven loci affecting mean telomere length and their association with disease. Nat Genet. 2013;45:422–7.
pubmed: 23535734 pmcid: 4006270 doi: 10.1038/ng.2528
Mangino M, Hwang SJ, Spector TD, Hunt SC, Kimura M, Fitzpatrick AL, et al. Genome-wide meta-analysis points to CTC1 and ZNF676 as genes regulating telomere homeostasis in humans. Hum Mol Genet. 2012;21:5385–94.
pubmed: 23001564 pmcid: 3510758 doi: 10.1093/hmg/dds382
Codd V, Mangino M, van der Harst P, Braund PS, Beveridge AJ, Rafelt S, et al. Variants near TERC are associated with mean telomere length. Nat Genet. 2010;42:197–9.
pubmed: 20139977 pmcid: 3773906 doi: 10.1038/ng.532
Walsh KM, Whitehead TP, de Smith AJ, Smirnov IV, Park M, Endicott AA, et al. Common genetic variants associated with telomere length confer risk for neuroblastoma and other childhood cancers. Carcinogenesis. 2016;37:576–82.
pubmed: 27207662 pmcid: 4876988 doi: 10.1093/carcin/bgw037
Levy D, Neuhausen SL, Hunt SC, Kimura M, Hwang SJ, Chen W, et al. Genome-wide association identifies OBFC1 as a locus involved in human leukocyte telomere biology. Proc Natl Acad Sci USA. 2010;107:9293–8.
pubmed: 20421499 pmcid: 2889047 doi: 10.1073/pnas.0911494107
Li C, Stoma S, Lotta LA, Warner S, Albrecht E, Allione A, et al. Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length. Am J Hum Genet. 2020;106:389–404.
pubmed: 32109421 pmcid: 7058826 doi: 10.1016/j.ajhg.2020.02.006
Wang Z, Rice SV, Chang TC, Liu Y, Liu Q, Qin N, et al. Molecular mechanism of telomere length dynamics and its prognostic value in pediatric cancers. Intergovernmental Panel on Climate Change, editor. JNCI: J Natl Cancer Inst. 2019;112:756–64.
pmcid: 7357329 doi: 10.1093/jnci/djz210
Gao Y, Wei Y, Zhou X, Huang S, Zhao H, Zeng P. Assessing the relationship between leukocyte telomere length and cancer risk/mortality in UK biobank and TCGA datasets with the genetic risk score and Mendelian randomization approaches. Front Genet. 2020;11:1270.
Pierce BL, Kraft P, Zhang C. Mendelian randomization studies of cancer risk: a literature review. Curr Epidemiol Rep. 2018;5:184–96.
pubmed: 30034993 pmcid: 6053056 doi: 10.1007/s40471-018-0144-1
Zhang C, Ostrom QT, Semmes EC, Ramaswamy V, Hansen HM, Morimoto L, et al. Genetic predisposition to longer telomere length and risk of childhood, adolescent and adult-onset ependymoma. Acta Neuropathologica Commun. 2020;8:173.
doi: 10.1186/s40478-020-01038-w
Ojha J, Codd V, Nelson CP, Samani NJ, Smirnov IV, Madsen NR, et al. Genetic variation associated with longer telomere length increases risk of chronic lymphocytic leukemia. Cancer Epidemiol Biomark Prev. 2016;25:1043–9.
doi: 10.1158/1055-9965.EPI-15-1329
Walsh KM, Codd V, Rice T, Nelson CP, Smirnov IV, Mccoy LS, et al. Longer genotypically-estimated leukocyte telomere length is associated with increased adult glioma risk. Oncotarget. 2015;6:42468.
Haycock PC, Burgess S, Nounu A, Zheng J, Okoli GN, Bowden J, et al. Association between telomere length and risk of cancer and non-neoplastic diseases a Mendelian randomization study. JAMA Oncol. 2017;3:636–51.
pubmed: 28241208 doi: 10.1001/jamaoncol.2017.2316
Brown DW, Lan Q, Rothman N, Pluta J, Almstrup K, Dalgaard MD, et al. Genetically inferred telomere length and testicular germ cell tumor risk. Cancer Epidemiol Biomark Prevention. 2021;30:1275–8.
Musselman JRB, Spector LG, Krailo MD, Reaman GH, Linabery AM, Poynter JN, et al. The Children’s Oncology Group Childhood Cancer Research Network (CCRN): case catchment in the United States. Cancer. 2014;120:3007–15.
pubmed: 24889136 doi: 10.1002/cncr.28813
Poynter JN, Richardson M, Roesler M, Krailo M, Amatruda JF, Frazier AL. Family history of cancer in children and adolescents with germ cell tumours: a report from the Children’s Oncology Group. Br J Cancer. 2018;118:121–6.
pubmed: 29065103 doi: 10.1038/bjc.2017.358
Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38:904–9.
pubmed: 16862161 doi: 10.1038/ng1847
Patterson N, Price AL, Reich D. Population structure and eigenanalysis. PLoS Genet. 2006;2:e190.
pubmed: 17194218 pmcid: 1713260 doi: 10.1371/journal.pgen.0020190
Das S, Forer L, Schönherr S, Sidore C, Locke AE, Kwong A, et al. Next-generation genotype imputation service and methods. Nat Genet. 2016;48:1284–7.
pubmed: 27571263 pmcid: 5157836 doi: 10.1038/ng.3656
Taliun D, Harris DN, Kessler MD, Carlson J, Szpiech ZA, Torres R, et al. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. Nature. 2021;590:290–9.
pubmed: 33568819 pmcid: 7875770 doi: 10.1038/s41586-021-03205-y
Fuchsberger C, Abecasis GR, Hinds DA. Minimac2: faster genotype imputation. Bioinformatics. 2015;31:782–4.
pubmed: 25338720 doi: 10.1093/bioinformatics/btu704
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira M, Bender D, et al. PLINK: whole genome data analysis toolset. Am J Hum Genet. 2007;81:559–75.
pubmed: 17701901 pmcid: 1950838 doi: 10.1086/519795
Spielman RS, Mcginnis RE, Ewenst WJ. Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM). Am J Hum Genet. 1993;52:506.
Willer CJ, Li Y, Abecasis GR. METAL: fast and efficient meta-analysis of genomewide association scans. Bioinformatics Appl Note. 2010;26:2190–1.
doi: 10.1093/bioinformatics/btq340
Cochran WG. The combination of estimates from different experiments. Biometrics. 1954;10:101–29.
doi: 10.2307/3001666
Hemani G, Zheng J, Elsworth B, Wade KH, Haberland V, Baird D, et al. The MR-base platform supports systematic causal inference across the human phenome. eLife. 2018;7:e34408.
Didelez V, Sheehan N. Mendelian randomization as an instrumental variable approach to causal inference. Stat Methods Med Res. 2007;16:309–30.
pubmed: 17715159 doi: 10.1177/0962280206077743
Smith GD, Ebrahim S. “Mendelian randomization”: can genetic epidemiology contribute to understanding environmental determinants of disease? Int J Epidemiol. 2003;32:1–22.
pubmed: 12689998 doi: 10.1093/ije/dyg070
Burgess S, Thompson SG. Interpreting findings from Mendelian randomization using the MR-Egger method. Eur J Epidemiol. 2017;32:377–89.
pubmed: 28527048 pmcid: 5506233 doi: 10.1007/s10654-017-0255-x
Bowden J, Davey, Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40:304–14.
pubmed: 27061298 pmcid: 4849733 doi: 10.1002/gepi.21965
Bowden J, Spiller W, Del Greco FM, Sheehan N, Thompson J, Minelli C, et al. Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression. Int J Epidemiol. 2018;47:1264–78.
pubmed: 29961852 pmcid: 6124632 doi: 10.1093/ije/dyy101
Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12:e1001779.
pubmed: 25826379 pmcid: 4380465 doi: 10.1371/journal.pmed.1001779
Bycroft C, Freeman C, Petkova D, Band G, Elliott LT, Sharp K, et al. The UK Biobank resource with deep phenotyping and genomic data. Nature. 2018;562:203–9.
pubmed: 30305743 pmcid: 6786975 doi: 10.1038/s41586-018-0579-z
UK Biobank. UKB: Data-Field 22009 Genetic principal components [Internet]. [cited 2021 May 6]. Available from: https://biobank.ctsu.ox.ac.uk/crystal/field.cgi?id=22009 .
Brion MJA, Shakhbazov K, Visscher PM. Calculating statistical power in Mendelian randomization studies. Int J Epidemiol. 2013;42:1497–501.
pubmed: 24159078 doi: 10.1093/ije/dyt179
Bentley JL. Multidimensional binary search trees used for associative searching. Commun ACM. 1975;18:509–17.
doi: 10.1145/361002.361007
Kuhn HW. The Hungarian method for the assignment problem. Nav Res Logist Q. 1955;2:83–97.
doi: 10.1002/nav.3800020109
Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44:512–25.
pubmed: 26050253 pmcid: 4469799 doi: 10.1093/ije/dyv080
Oosterhuis JW, Looijenga LHJ. Testicular germ-cell tumours in a broader perspective. Nat Rev Cancer. 2005;5:210–22.
pubmed: 15738984 doi: 10.1038/nrc1568
Lonsdale J, Thomas J, Salvatore M, Phillips R, Lo E, Shad S, et al. The Genotype-Tissue Expression (GTEx) project. Nat Genet. 2013;45:580–5.
doi: 10.1038/ng.2653
Eisenberg DTA, Kuzawa CW. The paternal age at conception effect on offspring telomere length: mechanistic, comparative and adaptive perspectives. Philos Trans R Soc B: Biol Sci. 2018;373:20160442.
doi: 10.1098/rstb.2016.0442
Wright WE, Piatyszek MA, Rainey WE, Byrd W, Shay JW. Telomerase activity in human germline and embryonic tissues and cells. Developmental Genet. 1996;18:173–9.
doi: 10.1002/(SICI)1520-6408(1996)18:2<173::AID-DVG10>3.0.CO;2-3
Schrader M, Burger AM, Müller M, Krause H, Straub B, Schostak M, et al. The differentiation status of primary gonadal germ cell tumors correlates inversely with telomerase activity and the expression level of the gene encoding the catalytic subunit of telomerase. BMC Cancer. 2002;2:32.
pubmed: 12459049 pmcid: 139987 doi: 10.1186/1471-2407-2-32
Johnston HE, Mann JR, Williams J, Waterhouse JAH, Birch JM, Cartwright RA, et al. The Inter-Regional, Epidemiological Study of Childhood Cancer (IRESCC): case-control study in children with germ cell tumours. Carcinogenesis. 1986;7:717–22.
pubmed: 3009046 doi: 10.1093/carcin/7.5.717
Chen Z, Robison L, Giller R, Krailo M, Davis M, Gardner K, et al. Risk of childhood germ cell tumors in association with parental smoking and drinking. Cancer. 2005;103:1064–71.
pubmed: 15685619 doi: 10.1002/cncr.20894
Johnson KJ, Carozza SE, Chow EJ, Fox EE, Horel S, McLaughlin CC, et al. Parental age and risk of childhood cancer: a pooled analysis. Epidemiology. 2009;20:475–83.
pubmed: 19373093 pmcid: 2738598 doi: 10.1097/EDE.0b013e3181a5a332
Shu XO, Nesbit ME, Buckley JD, Krailo MD, Robison LL. An exploratory analysis of risk factors for childhood malignant germ-cell tumors: report from the Childrens Cancer Group (Canada, United States). Cancer Causes Control. 1995;6:187–98.
pubmed: 7612798 doi: 10.1007/BF00051790
Stephansson O, Wahnström C, Pettersson A, Sørensen HT, Tretli S, Gissler M, et al. Perinatal risk factors for childhood testicular germ-cell cancer: a Nordic population-based study. Cancer Epidemiol. 2011;35:e100–4.
pubmed: 21846595 doi: 10.1016/j.canep.2011.07.003
Wanderas EH, Grotmol T, Fossa SD, Tretli S. Maternal health and pre- and perinatal characteristics in the etiology of testicular cancer: a prospective population- and register-based study on Norwegian males born between 1967 and 1995. Cancer Causes Control: CCC. 1998;9:475–86.
pubmed: 9934714 doi: 10.1023/A:1008857702380

Auteurs

Shannon S Cigan (SS)

Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA. sull0401@umn.edu.

John J Meredith (JJ)

Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.

Ava C Kelley (AC)

Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.

Tianzhong Yang (T)

Department of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, 55455, USA.

Erica K Langer (EK)

Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA.

Anthony J Hooten (AJ)

Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA.

John A Lane (JA)

Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.

Benjamin R Cole (BR)

Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.

Mark Krailo (M)

Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.

A Lindsay Frazier (AL)

Dana-Farber/Boston Children's Cancer and Blood Disorders Center, Boston, MA, 02215, USA.

Nathan Pankratz (N)

Division of Computational Biology, Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA.

Jenny N Poynter (JN)

Division of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN, 55455, USA.
Masonic Cancer Center, University of Minnesota, Minneapolis, MN, 55455, USA.

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