Comparison of mRNA Splicing Assay Protocols across Multiple Laboratories: Recommendations for Best Practice in Standardized Clinical Testing

Phillip J Whiley, Miguel de la Hoya, Mads Thomassen, Alexandra Becker, Rita Brandão, Inge Sokilde Pedersen, Marco Montagna, Mireia Menéndez, Francisco Quiles, Sara Gutiérrez-Enríquez, Kim De Leeneer, Anna Tenés, Gemma Montalban, Demis Tserpelis, Toshio Yoshimatsu, Carole Tirapo, Michela Raponi, Trinidad Caldes, Ana Blanco, Marta SantamariñaLucia Guidugli, Gorka Ruiz de Garibay, Ming Wong, Mariella Tancredi, Laura Fachal, Yuan Chun Ding, Torben A Kruse, Vanessa Lattimore, Ava Kwong, Tsun Leung Chan, Mara Colombo, Giovanni De Vecchi, Maria Caligo, Diana Baralle, Conxi Lázaro, Fergus Couch, Paolo Radice, Melissa C Southey, Susan Neuhausen, Claude Houdayer, Jim Fackenthal, Thomas Van Overeem Hansen, Ana Vega, Orland Diez, Rien Blok, Kathleen Claes, Barbara Wappenschmidt, Logan Walker, Amanda B Spurdle, Melissa A Brown, ENIGMA consortium

Research output: Contribution to journalJournal articleResearchpeer-review

57 Citations (Scopus)

Abstract

Accurate evaluation of unclassified sequence variants in cancer predisposition genes is essential for clinical management and depends on a multifactorial analysis of clinical, genetic, pathologic, and bioinformatic variables and assays of transcript length and abundance. The integrity of assay data in turn relies on appropriate assay design, interpretation, and reporting.
Original languageEnglish
JournalClinical Chemistry
Volume60
Issue number2
Pages (from-to)341-352
Number of pages12
ISSN0009-9147
DOIs
Publication statusPublished - 2014

Fingerprint

Dive into the research topics of 'Comparison of mRNA Splicing Assay Protocols across Multiple Laboratories: Recommendations for Best Practice in Standardized Clinical Testing'. Together they form a unique fingerprint.

Cite this