Perspective
A systematic approach to understand the functional consequences of non-protein coding risk regions
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Volume 9, Issue 2 January 15, 2010
Pages 256 - 259
http://dx.doi.org/10.4161/cc.9.2.10419
Authors: Gerhard A. Coetzee, Li Jia, Baruch Frenkel, Brian E. Henderson, Amos Tanay, Christopher A. Haiman and Matthew L. Freedman
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- Gerhard A. Coetzee
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Corresponding author: coetzee@usc.edu
University of Southern California; Los Angeles, CA
- Li Jia
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University of Southern California; Los Angeles, CA
- Baruch Frenkel
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University of Southern California; Los Angeles, CA
- Brian E. Henderson
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University of Southern California; Los Angeles, CA
- Amos Tanay
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Weizmann Institute of Science; Rehovot, Israel
- Christopher A. Haiman
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University of Southern California; Los Angeles, CA
- Matthew L. Freedman
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Corresponding author: freedman@broadinstitute.org
Dana-Farber Cancer Institute; Boston, MA
Abstract:
A primary goal of genetic association studies is to elucidate genes and novel biological mechanisms involved in disease. Recently, genome-wide association studies have identified many common genetic variants that are significantly associated with complex diseases such as cancer. In contrast to mutation-causing Mendelian disorders, a sizable fraction of the variants lies outside known protein-coding regions; therefore, understanding their biological consequences presents a major challenge in human genetics. Here we describe an integrated framework to allow non-protein coding loci to be annotated with respect to regulatory functions. This will facilitate identification of target genes as well as prioritize variants for functional testing.
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