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2017 ; 19
(10
): 1096-1104
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Clinical laboratories collaborate to resolve differences in variant
interpretations submitted to ClinVar
#MMPMID28301460
Harrison SM
; Dolinsky JS
; Knight Johnson AE
; Pesaran T
; Azzariti DR
; Bale S
; Chao EC
; Das S
; Vincent L
; Rehm HL
Genet Med
2017[Oct]; 19
(10
): 1096-1104
PMID28301460
show ga
PURPOSE: Data sharing through ClinVar offers a unique opportunity to identify
interpretation differences between laboratories. As part of a ClinGen initiative,
four clinical laboratories (Ambry, GeneDx, Partners Healthcare Laboratory for
Molecular Medicine, and University of Chicago Genetic Services Laboratory)
collaborated to identify the basis of interpretation differences and to
investigate if data sharing and reassessment resolve interpretation differences
by analyzing a subset of variants. METHODS: ClinVar variants with submissions
from at least two of the four participating laboratories were compared. For a
subset of identified differences, laboratories documented the basis for
discordance, shared internal data, independently reassessed with the American
College of Medical Genetics and Genomics-Association for Molecular Pathology
(ACMG-AMP) guidelines, and then compared interpretations. RESULTS: At least two
of the participating laboratories interpreted 6,169 variants in ClinVar, of which
88.3% were initially concordant. Laboratories reassessed 242/724 initially
discordant variants, of which 87.2% (211) were resolved by reassessment with
current criteria and/or internal data sharing; 12.8% (31) of reassessed variants
remained discordant owing to differences in the application of the ACMG-AMP
guidelines. CONCLUSION: Participating laboratories increased their overall
concordance from 88.3 to 91.7%, indicating that sharing variant interpretations
in ClinVar-thereby allowing identification of differences and motivation to
resolve those differences-is critical to moving toward more consistent variant
interpretations.Genet Med advance online publication 09 March 2017.
|Clinical Laboratory Information Systems/*standards
[MESH]