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Evaluating systematic reanalysis of clinical genomic data in rare disease from single center experience and literature review.

Authors :
Tan NB
Stapleton R
Stark Z
Delatycki MB
Yeung A
Hunter MF
Amor DJ
Brown NJ
Stutterd CA
McGillivray G
Yap P
Regan M
Chong B
Fanjul Fernandez M
Marum J
Phelan D
Pais LS
White SM
Lunke S
Tan TY
Source :
Molecular genetics & genomic medicine [Mol Genet Genomic Med] 2020 Nov; Vol. 8 (11), pp. e1508. Date of Electronic Publication: 2020 Sep 23.
Publication Year :
2020

Abstract

Background: Our primary aim was to evaluate the systematic reanalysis of singleton exome sequencing (ES) data for unsolved cases referred for any indication. A secondary objective was to undertake a literature review of studies examining the reanalysis of genomic data from unsolved cases.<br />Methods: We examined data from 58 unsolved cases referred between June 2016 and March 2017. First reanalysis at 4-13 months after the initial report considered genes newly associated with disease since the original analysis; second reanalysis at 9-18 months considered all disease-associated genes. At 25-34 months we reviewed all cases and the strategies which solved them.<br />Results: Reanalysis of existing ES data alone at two timepoints did not yield new diagnoses. Over the same timeframe, 10 new diagnoses were obtained (17%) from additional strategies, such as microarray detection of copy number variation, repeat sequencing to improve coverage, and trio sequencing. Twenty-seven peer-reviewed articles were identified on the literature review, with a median new diagnosis rate via reanalysis of 15% and median reanalysis timeframe of 22 months.<br />Conclusion: Our findings suggest that an interval of greater than 18 months from the original report may be optimal for reanalysis. We also recommend a multi-faceted strategy for cases remaining unsolved after singleton ES.<br /> (© 2020 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
2324-9269
Volume :
8
Issue :
11
Database :
MEDLINE
Journal :
Molecular genetics & genomic medicine
Publication Type :
Academic Journal
Accession number :
32969205
Full Text :
https://doi.org/10.1002/mgg3.1508