Identifying relationships among genomic disease regions: predicting= pathogenic SNP associations and rare deletions

Identifying relationships among genomic disease regions: predicting= pathogenic SNP associations and rare deletions

Translating a set of disease regions into insight about pathogenic mechanisms requires not only the ability to identify the key disease genes within them, but also the biological relationships among those key genes. Here we describe a statistical method, Gene Relationships Among Implicated Loci (GRA...

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Bibliographic Details
Main Authors: Raychaudhuri, Soumya (Contributor), Plenge, Robert M. (Contributor), Rossin, Elizabeth (Contributor), Ng, Aylwin C. Y. (Author), Purcell, Shaun M. (Contributor), Sklar, Pamela (Contributor), Scolnick, Edward Mark (Contributor), Xavier, Ramnik J. (Author), Altshuler, David (Author), Daly, Mark J. (Contributor)
Other Authors: Broad Institute of MIT and Harvard (Contributor), Harvard University- (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor)
Format: Article
Language:English
Published: Public Library of Science, 2010-03-10T16:19:58Z.
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