Characterizing genetic variants for clinical action. Issue 1 (13th March 2014)
- Record Type:
- Journal Article
- Title:
- Characterizing genetic variants for clinical action. Issue 1 (13th March 2014)
- Main Title:
- Characterizing genetic variants for clinical action
- Authors:
- Ramos, Erin M.
Din‐Lovinescu, Corina
Berg, Jonathan S.
Brooks, Lisa D.
Duncanson, Audrey
Dunn, Michael
Good, Peter
Hubbard, Tim J.P.
Jarvik, Gail P.
O'Donnell, Christopher
Sherry, Stephen T.
Aronson, Naomi
Biesecker, Leslie G.
Blumberg, Bruce
Calonge, Ned
Colhoun, Helen M.
Epstein, Robert S.
Flicek, Paul
Gordon, Erynn S.
Green, Eric D.
Green, Robert C.
Hurles, Matthew
Kawamoto, Kensaku
Knaus, William
Ledbetter, David H.
Levy, Howard P.
Lyon, Elaine
Maglott, Donna
McLeod, Howard L.
Rahman, Nazneen
Randhawa, Gurvaneet
Wicklund, Catherine
Manolio, Teri A.
Chisholm, Rex L.
Williams, Marc S.
Williams, Marc S.
… (more) - Abstract:
- <abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="ajmgc31386-sec-0001" sec-type="section"> <p>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<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="ajmgc31386-sec-0001" sec-type="section"> <p>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.</p> </sec> </abstract> … (more)
- Is Part Of:
- American journal of medical genetics. Volume 166:Issue 1(2014)
- Journal:
- American journal of medical genetics
- Issue:
- Volume 166:Issue 1(2014)
- Issue Display:
- Volume 166, Issue 1 (2014)
- Year:
- 2014
- Volume:
- 166
- Issue:
- 1
- Issue Sort Value:
- 2014-0166-0001-0000
- Page Start:
- 93
- Page End:
- 104
- Publication Date:
- 2014-03-13
- Subjects:
- Medical genetics -- Periodicals
616.04205 - Journal URLs:
- http://onlinelibrary.wiley.com/ ↗
- DOI:
- 10.1002/ajmg.c.31386 ↗
- Languages:
- English
- ISSNs:
- 1552-4868
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0827.940000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4181.xml