A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes-Reference-Cited by-同舟云学术

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A systematic review of cancer GWAS and candidate gene meta-analyses reveals limited overlap but similar effect sizes

Published:2013-07-24 Issue:3 Volume:22 Page:402-408
ISSN:1018-4813
Container-title:European Journal of Human Genetics
language:en
Short-container-title:Eur J Hum Genet

Author:

Chang Christine Q,Yesupriya Ajay,Rowell Jessica L,Pimentel Camilla B,Clyne Melinda,Gwinn Marta,Khoury Muin J,Wulf Anja,Schully Sheri D

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics

Link

http://www.nature.com/articles/ejhg2013161.pdf

Reference38 articles.

1. Cordell HJ, Clayton DG : A unified stepwise regression procedure for evaluating the relative effects of polymorphisms within a gene using case/control or family data: application to HLA in type 1 diabetes. Am J Hum Genet 2002; 70: 124–141.

2. Tabor HK, Risch NJ, Myers RM : Candidate-gene approaches for studying complex genetic traits: practical considerations. Nat Rev Genet 2002; 3: 391–397.

3. Ioannidis JP, Gwinn M, Little J et al: A road map for efficient and reliable human genome epidemiology. Nat Genet 2006; 38: 3–5.

4. Hindorff LA, Gillanders EM, Manolio TA : Genetic architecture of cancer and other complex diseases: lessons learned and future directions. Carcinogenesis 2011; 32: 945–954.

5. Hardy J, Singleton A : Genomewide association studies and human disease. N Engl J Med 2009; 360: 1759–1768.

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