Evidence map›Paper›PMID 23343000›Full record

ArticleJournal of clinical bioinformatics2013

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

Perry G Ridge, Christine Miller, Pinar Bayrak-Toydemir, D Hunter Best, Rong Mao, Jeffrey J Swensen, Elaine Lyon, Karl V Voelkerding

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Article in Journal of clinical bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Perry G RidgeARUP Institute for Clinical and Experimental Pathology, Salt Lake City, UT, USA. perry.g.ridge@aruplab.com.
Christine Miller
Pinar Bayrak-Toydemir
D Hunter Best
Rong Mao
Jeffrey J Swensen
Elaine Lyon
Karl V Voelkerding

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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backgroundThe 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.

resultsWe 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.

conclusionsBased 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.

Identifiers

PMID23343000
PMCPMC3563502

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