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JNCI Journal of the National Cancer Institute 2004 96(2):94-95; doi:10.1093/jnci/96.2.94
© 2004 by Oxford University Press
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© 2004 Oxford University Press

NEWS

Narrowing the Field: Identifying Ways to Improve SNP Association Studies

Rabiya S. Tuma

The first 10% of the full text of this article appears below.

There are millions of single nucleotide polymorphisms (SNPs) within the human population, and some of them are undoubtedly associated with an increased risk of cancer and other diseases. Thus far, however, genome-wide association studies and even intragenic association studies have led to inconsistent results and do not always seem biologically plausible, even when the association appears statistically significant. To improve the reproducibility and plausibility of such studies, some researchers are mining the genome and literature to help them prioritize and focus their SNP studies.

Speaking in October at the American Association for Cancer Research’s second annual International Conference on Frontiers in Cancer Prevention Research, Timothy Rebbeck, Ph.D., from the Center for Clinical Epidemiology and Biostatistics at the University of Pennsylvania School of Medicine, presented a "laundry list" of approaches researchers can use to maximize the efficacy of their association studies ahead of . . . [Full Text of this Article]


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Improving SNP Selection
J Natl Cancer Inst 2004 96: 95. [Extract] [Full Text] [PDF]