Title |
A genome-wide association study identifies multiple susceptibility loci for chronic lymphocytic leukemia
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Published in |
Nature Genetics, December 2013
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DOI | 10.1038/ng.2843 |
Pubmed ID | |
Authors |
Helen E Speedy, Maria Chiara Di Bernardo, Georgina P Sava, Martin J S Dyer, Amy Holroyd, Yufei Wang, Nicola J Sunter, Larry Mansouri, Gunnar Juliusson, Karin E Smedby, Göran Roos, Sandrine Jayne, Aneela Majid, Claire Dearden, Andrew G Hall, Tryfonia Mainou-Fowler, Graham H Jackson, Geoffrey Summerfield, Robert J Harris, Andrew R Pettitt, David J Allsup, James R Bailey, Guy Pratt, Chris Pepper, Chris Fegan, Richard Rosenquist, Daniel Catovsky, James M Allan, Richard S Houlston |
Abstract |
Genome-wide association studies (GWAS) of chronic lymphocytic leukemia (CLL) have shown that common genetic variation contributes to the heritable risk of CLL. To identify additional CLL susceptibility loci, we conducted a GWAS and performed a meta-analysis with a published GWAS totaling 1,739 individuals with CLL (cases) and 5,199 controls with validation in an additional 1,144 cases and 3,151 controls. A combined analysis identified new susceptibility loci mapping to 3q26.2 (rs10936599, P = 1.74 × 10(-9)), 4q26 (rs6858698, P = 3.07 × 10(-9)), 6q25.2 (IPCEF1, rs2236256, P = 1.50 × 10(-10)) and 7q31.33 (POT1, rs17246404, P = 3.40 × 10(-8)). Additionally, we identified a promising association at 5p15.33 (CLPTM1L, rs31490, P = 1.72 × 10(-7)) and validated recently reported putative associations at 5p15.33 (TERT, rs10069690, P = 1.12 × 10(-10)) and 8q22.3 (rs2511714, P = 2.90 × 10(-9)). These findings provide further insights into the genetic and biological basis of inherited genetic susceptibility to CLL. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 1% |
United Kingdom | 1 | <1% |
Australia | 1 | <1% |
Unknown | 191 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 44 | 23% |
Researcher | 43 | 22% |
Student > Master | 21 | 11% |
Student > Bachelor | 14 | 7% |
Student > Doctoral Student | 10 | 5% |
Other | 29 | 15% |
Unknown | 34 | 17% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 47 | 24% |
Biochemistry, Genetics and Molecular Biology | 44 | 23% |
Medicine and Dentistry | 39 | 20% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 2% |
Computer Science | 3 | 2% |
Other | 16 | 8% |
Unknown | 42 | 22% |