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Phenotypic Information in Genomic Variant Databases Enhances Clinical Care and Research: The International Standards for Cytogenomic Arrays Consortium Experience
Journal article   Open access   Peer reviewed

Phenotypic Information in Genomic Variant Databases Enhances Clinical Care and Research: The International Standards for Cytogenomic Arrays Consortium Experience

Erin Rooney Riggs, Laird Jackson, David T. Miller and Steven Van Vooren
Human mutation, v 33(5), pp 787-796
01 May 2012
PMID: 22331816
url
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/humu.22052View
Published, Version of Record (VoR) Open
url
https://doi.org/10.1002/humu.22052View
Published, Version of Record (VoR) Open

Abstract

Genetics & Heredity Life Sciences & Biomedicine Science & Technology
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 chromosomal 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 are essential for the interpretation of genomic variants, the ISCA Consortium has developed tools to facilitate the collection of these 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, identification of candidate regions for particular phenotypes, or 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. Hum Mutat 33: 787-796, 2012. (C) 2012 Wiley Periodicals, Inc.

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Genetics & Heredity
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