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Link to original content: https://doi.org/10.1038/ng.430
Loci on 7p12.2, 10q21.2 and 14q11.2 are associated with risk of childhood acute lymphoblastic leukemia | Nature Genetics
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Loci on 7p12.2, 10q21.2 and 14q11.2 are associated with risk of childhood acute lymphoblastic leukemia

Abstract

To identify risk variants for childhood acute lymphoblastic leukemia (ALL), we conducted a genome-wide association study of two case-control series, analyzing the genotypes with respect to 291,423 tagging SNPs in a total of 907 ALL cases and 2,398 controls. We identified risk loci for ALL at 7p12.2 (IKZF1, rs4132601, odds ratio (OR) = 1.69, P = 1.20 × 10−19), 10q21.2 (ARID5B, rs7089424, OR = 1.65, P = 6.69 × 10−19) and 14q11.2 (CEBPE, rs2239633, OR = 1.34, P = 2.88 × 10−7). The 10q21.2 (ARID5B) risk association appears to be selective for the subset of B-cell precursor ALL with hyperdiploidy. These data show that common low-penetrance susceptibility alleles contribute to the risk of developing childhood ALL and provide new insight into disease causation of this specific hematological cancer. Notably, all three risk variants map to genes involved in transcriptional regulation and differentiation of B-cell progenitors.

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Figure 1: LD structure and association results for each of the disease-associated regions.
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References

  1. Stiller, C.A. & Parkin, D.M. Geographic and ethnic variations in the incidence of childhood cancer. Br. Med. Bull. 52, 682–703 (1996).

    Article  CAS  PubMed  Google Scholar 

  2. Pui, C.H., Relling, M.V. & Downing, J.R. Acute lymphoblastic leukemia. N. Engl. J. Med. 350, 1535–1548 (2004).

    Article  CAS  PubMed  Google Scholar 

  3. Greaves, M. Infection, immune responses and the aetiology of childhood leukaemia. Nat. Rev. Cancer 6, 193–203 (2006).

    Article  CAS  PubMed  Google Scholar 

  4. Hemminki, K. & Jiang, Y. Risks among siblings and twins for childhood acute lymphoid leukaemia: results from the Swedish Family-Cancer Database. Leukemia 16, 297–298 (2002).

    Article  CAS  PubMed  Google Scholar 

  5. Couto, E., Chen, B. & Hemminki, K. Association of childhood acute lymphoblastic leukaemia with cancers in family members. Br. J. Cancer 93, 1307–1309 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Hodgson, S. & Maher, E. A Practical Guide to Human Cancer Genetics (Cambridge University Press, Cambridge, UK, 2007).

    Google Scholar 

  7. UK Childhood Cancer Study Investigators. The United Kingdom Childhood Cancer Study: objectives, materials and methods. Br. J. Cancer 82, 1073–1102 (2000).

  8. Power, C. & Elliott, J. Cohort profile: 1958 British birth cohort (National Child Development Study). Int. J. Epidemiol. 35, 34–41 (2006).

    Article  PubMed  Google Scholar 

  9. Tomlinson, I.P. et al. A genome-wide association study identifies colorectal cancer susceptibility loci on chromosomes 10p14 and 8q23.3. Nat. Genet. 40, 623–630 (2008).

    Article  CAS  PubMed  Google Scholar 

  10. Clayton, D.G. et al. Population structure, differential bias and genomic control in a large-scale, case-control association study. Nat. Genet. 37, 1243–1246 (2005).

    Article  CAS  PubMed  Google Scholar 

  11. Wellcome Trust Case Control Consortium. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661–678 (2007).

  12. Harker, N. et al. The CD8α gene locus is regulated by the Ikaros family of proteins. Mol. Cell 10, 1403–1415 (2002).

    Article  CAS  PubMed  Google Scholar 

  13. Georgopoulos, K. et al. The Ikaros gene is required for the development of all lymphoid lineages. Cell 79, 143–156 (1994).

    Article  CAS  PubMed  Google Scholar 

  14. Klug, C.A. et al. Hematopoietic stem cells and lymphoid progenitors express different Ikaros isoforms, and Ikaros is localized to heterochromatin in immature lymphocytes. Proc. Natl. Acad. Sci. USA 95, 657–662 (1998).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Mullighan, C.G. et al. Deletion of IKZF1 and prognosis in acute lymphoblastic leukemia. N. Engl. J. Med. 360, 470–480 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Mullighan, C.G. et al. BCR-ABL1 lymphoblastic leukaemia is characterized by the deletion of Ikaros. Nature 453, 110–114 (2008).

    Article  CAS  PubMed  Google Scholar 

  17. Wilsker, D., Patsialou, A., Dallas, P.B. & Moran, E. ARID proteins: a diverse family of DNA binding proteins implicated in the control of cell growth, differentiation, and development. Cell Growth Differ. 13, 95–106 (2002).

    CAS  PubMed  Google Scholar 

  18. Lahoud, M.H. et al. Gene targeting of Desrt, a novel ARID class DNA-binding protein, causes growth retardation and abnormal development of reproductive organs. Genome Res. 11, 1327–1334 (2001).

    Article  CAS  PubMed  Google Scholar 

  19. Chang, L.W. et al. Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia. Genome Biol. 9, R38 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  20. Akasaka, T. et al. Five members of the CEBP transcription factor family are targeted by recurrent IGH translocations in B-cell precursor acute lymphoblastic leukemia (BCP-ALL). Blood 109, 3451–3461 (2007).

    Article  CAS  PubMed  Google Scholar 

  21. Pettiti, D. Meta-analysis, Decision Analysis, and Cost-effectiveness Analysis: Methods for Quantitative Synthesis in Medicine (Oxford University Press, Oxford and New York, 1994).

    Google Scholar 

  22. Higgins, J.P. & Thompson, S.G. Quantifying heterogeneity in a meta-analysis. Stat. Med. 21, 1539–1558 (2002).

    Article  PubMed  Google Scholar 

  23. Stranger, B.E. et al. Genome-wide associations of gene expression variation in humans. PLoS Genet. 1, e78 (2005).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Stranger, B.E. et al. Relative impact of nucleotide and copy number variation on gene expression phenotypes. Science 315, 848–853 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Cuzick, J.A. Wilcoxon-type test for trend. Stat. Med. 4, 87–90 (1985).

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

Leukemia Research (UK) and the Kay Kendall Leukemia Fund provided principal funding for this study. Support from Cancer Research UK (C1298/A8362 supported by the Bobby Moore Fund) is also acknowledged. The study made use of genotyping data obtained from the British 1958 Birth Cohort. Genotyping data on 1958 controls was generated and generously supplied to us by P. Deloukas of the Wellcome Trust Sanger Institute. A full list of the investigators who contributed to the generation of the 1958 data is available from http://www.wtccc.org.uk/. We acknowledge use of DNA from the British 1958 Birth Cohort collection, funded by the UK Medical Research Council (MRC) grant G0000934 and the Wellcome Trust grant 068545/Z/02. We are grateful to S. Richards and J. Burrett (Clinical Trials Service Unit, Oxford), C. Harrison, L. Chilton and A. Moorman (Leukaemia Research Cytogenetics Group, Northern Institute for Cancer Research, Newcastle University), J. Simpson (University of York), P. Thomson and A. Hussain (Cancer Immunogenetics, School of Cancer Sciences, University of Manchester) for assistance with data harmonization, and also to I. Roberts and The Children's Cancer and Leukemia Group Biological Studies Steering Group for access to MRC ALL Trial samples. P. Thomson is funded by Children with Leukemia, and we acknowledge their support. We acknowledge UK National Health Service funding to the National Institutes for Health Research Biomedical Research Centre. Finally, we are grateful to all study participants for their participation. We also thank the clinicians, other hospital staff and study staff who contributed to the blood sample and data collection for this study.

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Authors

Contributions

R.S.H. and M.G. designed the study and obtained financial support. R.S.H. drafted the manuscript with substantial contributions from M.G. E.P. performed overall project management, development, database development and oversaw laboratory analyses; F.J.H. performed statistical analyses; F.J.H. and E.P. performed bioinformatics analyses; J.V., B.O. and A.P. performed sample preparation; E.S. and S.E.K. performed curation and sample preparation of MRC ALL 97 trial samples; T.L. and E.R. managed and maintained UKCCS sample data; M.T. performed curation and sample preparation of UKCCS samples; J.M.A. and J.A.E.I. performed ascertainment, curation and sample preparation of the Northern Institute for Cancer Research case series. I.P.T. generated and managed UK CRC control genotypes. All authors contributed to the final paper.

Corresponding author

Correspondence to Richard S Houlston.

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Supplementary Tables 1 and 2 and Supplementary Figures 1–5 (PDF 334 kb)

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Papaemmanuil, E., Hosking, F., Vijayakrishnan, J. et al. Loci on 7p12.2, 10q21.2 and 14q11.2 are associated with risk of childhood acute lymphoblastic leukemia. Nat Genet 41, 1006–1010 (2009). https://doi.org/10.1038/ng.430

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