Back to Search
Start Over
Phenotypic information in genomic variant databases enhances clinical care and research: The international standards for cytogenomic arrays consortium experience
- Source :
- Human Mutation. 33:787-796
- Publication Year :
- 2012
- Publisher :
- Hindawi Limited, 2012.
-
Abstract
- Whole genome analysis, now including whole genome sequencing, is moving rapidly into the clinical setting, leading to detection of human variation on a broader scale than ever before. Interpreting this information will depend on the availability of thorough and accurate phenotype information, and the ability to curate, store, and access data on genotype-phenotype relationships. This idea has already been demonstrated within the context of chromosome microarray (CMA) testing. The International Standards for Cytogenomic Arrays (ISCA) Consortium promotes standardization of variant interpretation for this technology through its initiatives, including the formation of a publicly available database housing clinical CMA data. Recognizing that phenotypic data is essential for the interpretation of genomic variants, the ISCA Consortium has developed tools to facilitate the collection of this data and its deposition in a standardized, structured format within the ISCA Consortium database. This rich source of phenotypic data can also be used within broader applications, such as developing phenotypic profiles of emerging genomic disorders, the identification of candidate regions for particular phenotypes, or the creation of tools for use in clinical practice. We summarize the ISCA experience as a model for ongoing efforts incorporating phenotype data with genotype data to improve the quality of research and clinical care in human genetics.
- Subjects :
- Whole genome sequencing
Standardization
Database
business.industry
Context (language use)
Biology
Precision medicine
computer.software_genre
Health informatics
Human genetics
Identification (information)
ComputingMethodologies_PATTERNRECOGNITION
Genetics
Copy-number variation
business
computer
Genetics (clinical)
Subjects
Details
- ISSN :
- 10597794
- Volume :
- 33
- Database :
- OpenAIRE
- Journal :
- Human Mutation
- Accession number :
- edsair.doi...........1f6dc344f151a7f5c9bb2af294d80f58
- Full Text :
- https://doi.org/10.1002/humu.22052