Title |
Genome-wide association study identifies susceptibility loci for B-cell childhood acute lymphoblastic leukemia
|
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Published in |
Nature Communications, April 2018
|
DOI | 10.1038/s41467-018-03178-z |
Pubmed ID | |
Authors |
Jayaram Vijayakrishnan, James Studd, Peter Broderick, Ben Kinnersley, Amy Holroyd, Philip J. Law, Rajiv Kumar, James M. Allan, Christine J. Harrison, Anthony V. Moorman, Ajay Vora, Eve Roman, Sivaramakrishna Rachakonda, Sally E. Kinsey, Eamonn Sheridan, Pamela D. Thompson, Julie A. Irving, Rolf Koehler, Per Hoffmann, Markus M. Nöthen, Stefanie Heilmann-Heimbach, Karl-Heinz Jöckel, Douglas F. Easton, Paul D. P. Pharaoh, Alison M. Dunning, Julian Peto, Frederico Canzian, Anthony Swerdlow, Rosalind A. Eeles, ZSofia Kote-Jarai, Kenneth Muir, Nora Pashayan, The PRACTICAL Consortium, Mel Greaves, Martin Zimmerman, Claus R. Bartram, Martin Schrappe, Martin Stanulla, Kari Hemminki, Richard S. Houlston |
Abstract |
Genome-wide association studies (GWAS) have advanced our understanding of susceptibility to B-cell precursor acute lymphoblastic leukemia (BCP-ALL); however, much of the heritable risk remains unidentified. Here, we perform a GWAS and conduct a meta-analysis with two existing GWAS, totaling 2442 cases and 14,609 controls. We identify risk loci for BCP-ALL at 8q24.21 (rs28665337, P = 3.86 × 10-9, odds ratio (OR) = 1.34) and for ETV6-RUNX1 fusion-positive BCP-ALL at 2q22.3 (rs17481869, P = 3.20 × 10-8, OR = 2.14). Our findings provide further insights into genetic susceptibility to ALL and its biology. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 5 | 42% |
Unknown | 7 | 58% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 8 | 67% |
Scientists | 3 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 169 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 28 | 17% |
Student > Ph. D. Student | 27 | 16% |
Student > Master | 18 | 11% |
Professor | 12 | 7% |
Student > Bachelor | 12 | 7% |
Other | 32 | 19% |
Unknown | 40 | 24% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 36 | 21% |
Medicine and Dentistry | 33 | 20% |
Agricultural and Biological Sciences | 15 | 9% |
Computer Science | 9 | 5% |
Nursing and Health Professions | 4 | 2% |
Other | 18 | 11% |
Unknown | 54 | 32% |