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Germline mismatch repair (MMR) gene analyses from English NHS regional molecular genomics laboratories 1996-2020: development of a national resource of patient-level genomics laboratory records

Authors :
Lucy Loong
Catherine Huntley
Fiona McRonald
Francesco Santaniello
Joanna Pethick
Bethany Torr
Sophie Allen
Oliver Tulloch
Shilpi Goel
Brian Shand
Tameera Rahman
Margreet Luchtenborg
Alice Garrett
Richard Barber
Tina Bedenham
David Bourn
Kirsty Bradshaw
Claire Brooks
Jonathan Bruty
George J Burghel
Samantha Butler
Chris Buxton
Alison Callaway
Jonathan Callaway
James Drummond
Miranda Durkie
Joanne Field
Lucy Jenkins
Terri P McVeigh
Roger Mountford
Rodney Nyanhete
Evgenia Petrides
Rachel Robinson
Tracy Scott
Victoria Stinton
James Tellez
Andrew J Wallace
Laura Yarram-Smith
Kate Sahan
Nina Hallowell
Diana M Eccles
Paul Pharoah
Marc Tischkowitz
Antonis C Antoniou
D Gareth Evans
Fiona Lalloo
Gail Norbury
Eva Morris
John Burn
Steven Hardy
Clare Turnbull
Huntley, Catherine [0000-0002-3797-7398]
Torr, Bethany [0000-0003-3487-9749]
Garrett, Alice [0000-0001-8942-283X]
Burghel, George J [0000-0001-9360-8194]
Eccles, Diana M [0000-0002-9935-3169]
Pharoah, Paul [0000-0001-8494-732X]
Antoniou, Antonis C [0000-0001-9223-3116]
Evans, D Gareth [0000-0002-8482-5784]
Apollo - University of Cambridge Repository
Source :
Journal of medical genetics.
Publication Year :
2022

Abstract

Peer reviewed: True<br />OBJECTIVE: To describe national patterns of National Health Service (NHS) analysis of mismatch repair (MMR) genes in England using individual-level data submitted to the National Disease Registration Service (NDRS) by the NHS regional molecular genetics laboratories. DESIGN: Laboratories submitted individual-level patient data to NDRS against a prescribed data model, including (1) patient identifiers, (2) test episode data, (3) per-gene results and (4) detected sequence variants. Individualised per-laboratory algorithms were designed and applied in NDRS to extract and map the data to the common data model. Laboratory-level MMR activity audit data from the Clinical Molecular Genetics Society/Association of Clinical Genomic Science were used to assess early years' missing data. RESULTS: Individual-level data from patients undergoing NHS MMR germline genetic testing were submitted from all 13 English laboratories performing MMR analyses, comprising in total 16 722 patients (9649 full-gene, 7073 targeted), with the earliest submission from 2000. The NDRS dataset is estimated to comprise >60% of NHS MMR analyses performed since inception of NHS MMR analysis, with complete national data for full-gene analyses for 2016 onwards. Out of 9649 full-gene tests, 2724 had an abnormal result, approximately 70% of which were (likely) pathogenic. Data linkage to the National Cancer Registry demonstrated colorectal cancer was the most frequent cancer type in which full-gene analysis was performed. CONCLUSION: The NDRS MMR dataset is a unique national pan-laboratory amalgamation of individual-level clinical and genomic patient data with pseudonymised identifiers enabling linkage to other national datasets. This growing resource will enable longitudinal research and can form the basis of a live national genomic disease registry.

Details

ISSN :
14686244
Database :
OpenAIRE
Journal :
Journal of medical genetics
Accession number :
edsair.doi.dedup.....62372700ac955205ef10a1d137ef5072