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A joint NCBI and EMBL-EBI transcript set for clinical genomics and research

Authors :
Joannella Morales
Shashikant Pujar
Jane E. Loveland
Alex Astashyn
Ruth Bennett
Andrew Berry
Eric Cox
Claire Davidson
Olga Ermolaeva
Catherine M. Farrell
Reham Fatima
Laurent Gil
Tamara Goldfarb
Jose M. Gonzalez
Diana Haddad
Matthew Hardy
Toby Hunt
John Jackson
Vinita S. Joardar
Michael Kay
Vamsi K. Kodali
Kelly M. McGarvey
Aoife McMahon
Jonathan M. Mudge
Daniel N. Murphy
Michael R. Murphy
Bhanu Rajput
Sanjida H. Rangwala
Lillian D. Riddick
Françoise Thibaud-Nissen
Glen Threadgold
Anjana R. Vatsan
Craig Wallin
David Webb
Paul Flicek
Ewan Birney
Kim D. Pruitt
Adam Frankish
Fiona Cunningham
Terence D. Murphy
Source :
Nature. 604:310-315
Publication Year :
2022
Publisher :
Springer Science and Business Media LLC, 2022.

Abstract

Comprehensive genome annotation is essential to understand the impact of clinically relevant variants. However, the absence of a standard for clinical reporting and browser display complicates the process of consistent interpretation and reporting. To address these challenges, Ensembl/GENCODE1and RefSeq2launched a joint initiative, the Matched Annotation from NCBI and EMBL-EBI (MANE) collaboration, to converge on human gene and transcript annotation and to jointly define a high-value set of transcripts and corresponding proteins. Here, we describe the MANE transcript sets for use as universal standards for variant reporting and browser display. The MANE Select set identifies a representative transcript for each human protein-coding gene, whereas the MANE Plus Clinical set provides additional transcripts at loci where the Select transcripts alone are not sufficient to report all currently known clinical variants. Each MANE transcript represents an exact match between the exonic sequences of an Ensembl/GENCODE transcript and its counterpart in RefSeq such that the identifiers can be used synonymously. We have now released MANE Select transcripts for 97% of human protein-coding genes, including all American College of Medical Genetics and Genomics Secondary Findings list v3.0 (ref.3) genes. MANE transcripts are accessible from major genome browsers and key resources. Widespread adoption of these transcript sets will increase the consistency of reporting, facilitate the exchange of data regardless of the annotation source and help to streamline clinical interpretation.

Details

ISSN :
14764687 and 00280836
Volume :
604
Database :
OpenAIRE
Journal :
Nature
Accession number :
edsair.doi.dedup.....d1dc0dd958a209783c4e67bd45d37986
Full Text :
https://doi.org/10.1038/s41586-022-04558-8