| 1. |
- Brownstein, Catherine A., et al.
(författare)
-
An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge
- 2014
-
Ingår i: Genome Biology. - : Springer Science and Business Media LLC. - 1465-6906 .- 1474-760X. ; 15:3, s. R53-
-
Tidskriftsartikel (refereegranskat)abstract
- Background: There is tremendous potential for genome sequencing to improve clinical diagnosis and care once it becomes routinely accessible, but this will require formalizing research methods into clinical best practices in the areas of sequence data generation, analysis, interpretation and reporting. The CLARITY Challenge was designed to spur convergence in methods for diagnosing genetic disease starting from clinical case history and genome sequencing data. DNA samples were obtained from three families with heritable genetic disorders and genomic sequence data were donated by sequencing platform vendors. The challenge was to analyze and interpret these data with the goals of identifying disease-causing variants and reporting the findings in a clinically useful format. Participating contestant groups were solicited broadly, and an independent panel of judges evaluated their performance. Results: A total of 30 international groups were engaged. The entries reveal a general convergence of practices on most elements of the analysis and interpretation process. However, even given this commonality of approach, only two groups identified the consensus candidate variants in all disease cases, demonstrating a need for consistent fine-tuning of the generally accepted methods. There was greater diversity of the final clinical report content and in the patient consenting process, demonstrating that these areas require additional exploration and standardization. Conclusions: The CLARITY Challenge provides a comprehensive assessment of current practices for using genome sequencing to diagnose and report genetic diseases. There is remarkable convergence in bioinformatic techniques, but medical interpretation and reporting are areas that require further development by many groups.
|
|
| 2. |
- Twigger, S, et al.
(författare)
-
Rat Genome Database : A comparative genomics platform for rat mouse and human.
- 2001
-
Ingår i: Journal of Molecular Medicine. - : Springer. - 0946-2716 .- 1432-1440. ; , s. B30-
-
Konferensbidrag (refereegranskat)abstract
- The Rat Genome Database (RGD) is a NIH funded project who’s stated mission is “to collect, consolidate, and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community.” In a collaboration between the Medical College of Wisconsin, the Jackson Lab, the National Center for Biotechnology and Information and the Genetics Lundberg Laboratory, Gothenburg, Sweden, RGD has been created to meet these stated aims. The primary focus of RGD is to aid Rat researchers in their work studying the rat as a model organism for human disease. To support these studies we have integrated a large amount of rat genetic and genomic resources in RGD and these are constantly being expanded through ongoing literature curation. One of the major features of RGD version 1.1, released in January of this year, is incorporation of QTL data to facilitate physiological genomics studies relating disease with the genome. In addition, a dynamic sequence-based homology tool is in final testing which will enable Rat, Mouse and Human researchers to view mapped genes and sequences and their locations in the other two organisms. We hope to release this tool in the second quarter of 2001. This will facilitate the application of results in one species to experiments in another species. In collaboration with the Mouse Genome Database and NCBI, close links are being created between RGD and MGD, LocusLink and UniGene to increase access to each set of data. To support its other general functions RGD has a variety of tools available for the rat researcher, plus ones that are equally useful to researchers working in other organisms and a sampling of these tools will be presented. Thus RGD is not only a valuable resource for those working with the rat but also for researchers in other model organisms wishing to harness the existing genetic and physiological data available in the rat to complement their own work.
|
|
