Literature DB >> 29959382

Whole-exome sequencing in intellectual disability; cost before and after a diagnosis.

Terry Vrijenhoek1, Eline M Middelburg2, Glen R Monroe1, Koen L I van Gassen1, Joost W Geenen2, Anke M Hövels2, Nine V Knoers1, Hans Kristian Ploos van Amstel1, Gerardus W J Frederix3,4.   

Abstract

Clinical application of whole-exome and whole-genome sequencing (WES and WGS) has led to an increasing interest in how it could drive healthcare decisions. As with any healthcare innovation, implementation of next-generation sequencing in the clinic raises questions on affordability and costing impact for society as a whole. We retrospectively analyzed medical records of 370 patients with ID who had undergone WES at various stages of their diagnostic trajectory. We collected all medical interventions performed on these patients at the University Medical Center Utrecht (UMCU), Utrecht, the Netherlands. We categorized the patients according to their WES-based preliminary diagnosis ("yes", "no", and "uncertain"), and assessed the per-patient healthcare activities and corresponding costs before (pre) and after (post) genetic diagnosis. The WES-specific diagnostic yield among the 370 patients was 35% (128 patients). Pre-WES costs were €7.225 on average. Highest average costs were observed for laboratory-based tests, including genetics, followed by consults. Compared to pre-WES costs, the post-WES costs were on average 80% lower per patient, irrespective of the WES-based diagnostic outcome. Application of WES results in a considerable reduction of healthcare costs, not just in current settings, but even more so when applied earlier in the diagnostic trajectory (genetics-first). In such context, WES may replace less cost-effective traditional technologies without compromising the diagnostic yield. Moreover, WES appears to harbor an intrinsic "end-of-trajectory" effect; regardless of the diagnosis, downstream medical interventions decrease substantially in both number and costs.

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Year:  2018        PMID: 29959382      PMCID: PMC6189079          DOI: 10.1038/s41431-018-0203-6

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  22 in total

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2.  Molecular findings among patients referred for clinical whole-exome sequencing.

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Journal:  JAMA       Date:  2014-11-12       Impact factor: 56.272

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Review 6.  The challenge for the next generation of medical geneticists.

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7.  Enhanced utility of family-centered diagnostic exome sequencing with inheritance model-based analysis: results from 500 unselected families with undiagnosed genetic conditions.

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8.  Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data.

Authors:  Caroline F Wright; Tomas W Fitzgerald; Wendy D Jones; Stephen Clayton; Jeremy F McRae; Margriet van Kogelenberg; Daniel A King; Kirsty Ambridge; Daniel M Barrett; Tanya Bayzetinova; A Paul Bevan; Eugene Bragin; Eleni A Chatzimichali; Susan Gribble; Philip Jones; Netravathi Krishnappa; Laura E Mason; Ray Miller; Katherine I Morley; Vijaya Parthiban; Elena Prigmore; Diana Rajan; Alejandro Sifrim; G Jawahar Swaminathan; Adrian R Tivey; Anna Middleton; Michael Parker; Nigel P Carter; Jeffrey C Barrett; Matthew E Hurles; David R FitzPatrick; Helen V Firth
Journal:  Lancet       Date:  2014-12-17       Impact factor: 79.321

9.  Are whole-exome and whole-genome sequencing approaches cost-effective? A systematic review of the literature.

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Review 10.  Utility of whole-exome sequencing for those near the end of the diagnostic odyssey: time to address gaps in care.

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Journal:  Clin Genet       Date:  2015-09-22       Impact factor: 4.438

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  16 in total

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2.  Novel HIVEP2 Variants in Patients with Intellectual Disability.

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3.  A Novel De Novo Frameshift Mutation in KAT6A Identified by Whole Exome Sequencing.

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Review 4.  A systematic review of the methodological quality of economic evaluations in genetic screening and testing for monogenic disorders.

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5.  Genomic testing in 1019 individuals from 349 Pakistani families results in high diagnostic yield and clinical utility.

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Review 6.  Data Science for Child Health.

Authors:  Tellen D Bennett; Tiffany J Callahan; James A Feinstein; Debashis Ghosh; Saquib A Lakhani; Michael C Spaeder; Stanley J Szefler; Michael G Kahn
Journal:  J Pediatr       Date:  2019-01-25       Impact factor: 4.406

Review 7.  Clinical Integration of Genome Diagnostics for Congenital Anomalies of the Kidney and Urinary Tract.

Authors:  Rik Westland; Kirsten Y Renkema; Nine V A M Knoers
Journal:  Clin J Am Soc Nephrol       Date:  2020-04-20       Impact factor: 8.237

8.  Trio-based exome sequencing reveals a high rate of the de novo variants in intellectual disability.

Authors:  Alejandro J Brea-Fernández; Miriam Álvarez-Barona; Jorge Amigo; María Tubío-Fungueiriño; Pilar Caamaño; Montserrat Fernández-Prieto; Francisco Barros; Silvia De Rubeis; Joseph Buxbaum; Ángel Carracedo
Journal:  Eur J Hum Genet       Date:  2022-03-23       Impact factor: 5.351

9.  Comparison of the diagnostic yield of aCGH and genome-wide sequencing across different neurodevelopmental disorders.

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10.  Compound Phenotype Due to Recessive Variants in LARP7 and OTOG Genes Disclosed by an Integrated Approach of SNP-Array and Whole Exome Sequencing.

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Journal:  Genes (Basel)       Date:  2020-03-31       Impact factor: 4.096

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