Literature DB >> 24634402

Characterizing genetic variants for clinical action.

Erin M Ramos, Corina Din-Lovinescu, Jonathan S Berg, Lisa D Brooks, Audrey Duncanson, Michael Dunn, Peter Good, Tim J P Hubbard, Gail P Jarvik, Christopher O'Donnell, Stephen T Sherry, Naomi Aronson, Leslie G Biesecker, Bruce Blumberg, Ned Calonge, Helen M Colhoun, Robert S Epstein, Paul Flicek, Erynn S Gordon, Eric D Green, Robert C Green, Matthew Hurles, Kensaku Kawamoto, William Knaus, David H Ledbetter, Howard P Levy, Elaine Lyon, Donna Maglott, Howard L McLeod, Nazneen Rahman, Gurvaneet Randhawa, Catherine Wicklund, Teri A Manolio, Rex L Chisholm, Marc S Williams.   

Abstract

Genome-wide association studies, DNA sequencing studies, and other genomic studies are finding an increasing number of genetic variants associated with clinical phenotypes that may be useful in developing diagnostic, preventive, and treatment strategies for individual patients. However, few variants have been integrated into routine clinical practice. The reasons for this are several, but two of the most significant are limited evidence about the clinical implications of the variants and a lack of a comprehensive knowledge base that captures genetic variants, their phenotypic associations, and other pertinent phenotypic information that is openly accessible to clinical groups attempting to interpret sequencing data. As the field of medicine begins to incorporate genome-scale analysis into clinical care, approaches need to be developed for collecting and characterizing data on the clinical implications of variants, developing consensus on their actionability, and making this information available for clinical use. The National Human Genome Research Institute (NHGRI) and the Wellcome Trust thus convened a workshop to consider the processes and resources needed to: (1) identify clinically valid genetic variants; (2) decide whether they are actionable and what the action should be; and (3) provide this information for clinical use. This commentary outlines the key discussion points and recommendations from the workshop.
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  DNA sequencing; clinical actionability; database; electronic health records (EHR); genomic medicine; pharmacogenomics

Mesh:

Year:  2014        PMID: 24634402      PMCID: PMC4158437          DOI: 10.1002/ajmg.c.31386

Source DB:  PubMed          Journal:  Am J Med Genet C Semin Med Genet        ISSN: 1552-4868            Impact factor:   3.908


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