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Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period

BACKGROUND: The recent introduction of high throughput sequencing technologies into clinical genetics has made it practical to simultaneously sequence many genes. In contrast, previous technologies limited sequencing based tests to only a handful of genes. While the ability to more accurately diagno...

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Autores principales: Ridge, Perry G, Miller, Christine, Bayrak-Toydemir, Pinar, Best, D Hunter, Mao, Rong, Swensen, Jeffrey J, Lyon, Elaine, Voelkerding, Karl V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3563502/
https://www.ncbi.nlm.nih.gov/pubmed/23343000
http://dx.doi.org/10.1186/2043-9113-3-3
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author Ridge, Perry G
Miller, Christine
Bayrak-Toydemir, Pinar
Best, D Hunter
Mao, Rong
Swensen, Jeffrey J
Lyon, Elaine
Voelkerding, Karl V
author_facet Ridge, Perry G
Miller, Christine
Bayrak-Toydemir, Pinar
Best, D Hunter
Mao, Rong
Swensen, Jeffrey J
Lyon, Elaine
Voelkerding, Karl V
author_sort Ridge, Perry G
collection PubMed
description BACKGROUND: The recent introduction of high throughput sequencing technologies into clinical genetics has made it practical to simultaneously sequence many genes. In contrast, previous technologies limited sequencing based tests to only a handful of genes. While the ability to more accurately diagnose inherited diseases is a great benefit it introduces specific challenges. Interpretation of missense mutations continues to be challenging and the number of variants of uncertain significance continues to grow. RESULTS: We leveraged the data available at ARUP Laboratories, a major reference laboratory, for the CFTR gene to explore specific challenges related to variant interpretation, including a focus on understanding ethnic-specific variants and an evaluation of existing databases for clinical interpretation of variants. In this study we analyzed 555 patients representing eight different ethnic groups. We observed 184 different variants, most of which were ethnic group specific. Eighty-five percent of these variants were present in the Cystic Fibrosis Mutation Database, whereas the Human Mutation Database and dbSNP/1000 Genomes had far fewer of the observed variants. Finally, 21 of the variants were novel and we report these variants and their clinical classifications. CONCLUSIONS: Based on our analyses of data from six years of CFTR testing at ARUP Laboratories a more comprehensive, clinical grade database is needed for the accurate interpretation of observed variants. Furthermore, there is a particular need for more and better information regarding variants from individuals of non-Caucasian ethnicity.
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spelling pubmed-35635022013-02-08 Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period Ridge, Perry G Miller, Christine Bayrak-Toydemir, Pinar Best, D Hunter Mao, Rong Swensen, Jeffrey J Lyon, Elaine Voelkerding, Karl V J Clin Bioinforma Research BACKGROUND: The recent introduction of high throughput sequencing technologies into clinical genetics has made it practical to simultaneously sequence many genes. In contrast, previous technologies limited sequencing based tests to only a handful of genes. While the ability to more accurately diagnose inherited diseases is a great benefit it introduces specific challenges. Interpretation of missense mutations continues to be challenging and the number of variants of uncertain significance continues to grow. RESULTS: We leveraged the data available at ARUP Laboratories, a major reference laboratory, for the CFTR gene to explore specific challenges related to variant interpretation, including a focus on understanding ethnic-specific variants and an evaluation of existing databases for clinical interpretation of variants. In this study we analyzed 555 patients representing eight different ethnic groups. We observed 184 different variants, most of which were ethnic group specific. Eighty-five percent of these variants were present in the Cystic Fibrosis Mutation Database, whereas the Human Mutation Database and dbSNP/1000 Genomes had far fewer of the observed variants. Finally, 21 of the variants were novel and we report these variants and their clinical classifications. CONCLUSIONS: Based on our analyses of data from six years of CFTR testing at ARUP Laboratories a more comprehensive, clinical grade database is needed for the accurate interpretation of observed variants. Furthermore, there is a particular need for more and better information regarding variants from individuals of non-Caucasian ethnicity. BioMed Central 2013-01-23 /pmc/articles/PMC3563502/ /pubmed/23343000 http://dx.doi.org/10.1186/2043-9113-3-3 Text en Copyright ©2013 Ridge et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Ridge, Perry G
Miller, Christine
Bayrak-Toydemir, Pinar
Best, D Hunter
Mao, Rong
Swensen, Jeffrey J
Lyon, Elaine
Voelkerding, Karl V
Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period
title Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period
title_full Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period
title_fullStr Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period
title_full_unstemmed Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period
title_short Cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period
title_sort cystic fibrosis testing in a referral laboratory: results and lessons from a six-year period
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3563502/
https://www.ncbi.nlm.nih.gov/pubmed/23343000
http://dx.doi.org/10.1186/2043-9113-3-3
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