Literature DB >> 25996638

Economic evidence on identifying clinically actionable findings with whole-genome sequencing: a scoping review.

Michael P Douglas1, Uri Ladabaum2, Mark J Pletcher3, Deborah A Marshall4, Kathryn A Phillips1,5,6.   

Abstract

The American College of Medical Genetics and Genomics (ACMG) recommends that mutations in 56 genes for 24 conditions are clinically actionable and should be reported as secondary findings after whole-genome sequencing (WGS). Our aim was to identify published economic evaluations of detecting mutations in these genes among the general population or among targeted/high-risk populations and conditions and identify gaps in knowledge. A targeted PubMed search from 1994 through November 2014 was performed, and we included original, English-language articles reporting cost-effectiveness or a cost-to-utility ratio or net benefits/benefit-cost focused on screening (not treatment) for conditions and genes listed by the ACMG. Articles were screened, classified as targeting a high-risk or general population, and abstracted by two reviewers. General population studies were evaluated for actual cost-effectiveness measures (e.g., incremental cost-effectiveness ratios (ICER)), whereas studies of targeted populations were evaluated for whether at least one scenario proposed was cost-effective (e.g., ICER of ≤$100,000 per life-year or quality-adjusted life-year gained). A total of 607 studies were identified, and 32 relevant studies were included. Identified studies addressed fewer than one-third (7 of 24; 29%) of the ACMG conditions. The cost-effectiveness of screening in the general population was examined for only 2 of 24 conditions (8%). The cost-effectiveness of most genetic findings that the ACMG recommends for return has not been evaluated in economic studies or in the context of screening in the general population. The individual studies do not directly address the cost-effectiveness of WGS.

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Year:  2015        PMID: 25996638      PMCID: PMC4654986          DOI: 10.1038/gim.2015.69

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  40 in total

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Authors:  Sarah Wordsworth; José Leal; Edward Blair; Rosa Legood; Kate Thomson; Anneke Seller; Jenny Taylor; Hugh Watkins
Journal:  Eur Heart J       Date:  2010-03-18       Impact factor: 29.983

2.  Strategies to identify the Lynch syndrome among patients with colorectal cancer: a cost-effectiveness analysis.

Authors:  Uri Ladabaum; Grace Wang; Jonathan Terdiman; Amie Blanco; Miriam Kuppermann; C Richard Boland; James Ford; Elena Elkin; Kathryn A Phillips
Journal:  Ann Intern Med       Date:  2011-07-19       Impact factor: 25.391

3.  Expanding the criteria for BRCA mutation testing in breast cancer survivors.

Authors:  Janice S Kwon; Angelica M Gutierrez-Barrera; Diana Young; Charlotte C Sun; Molly S Daniels; Karen H Lu; Banu Arun
Journal:  J Clin Oncol       Date:  2010-08-23       Impact factor: 44.544

4.  Cost-effectiveness of genetic testing in family members of patients with long-QT syndrome.

Authors:  Marco V Perez; Narmadan A Kumarasamy; Douglas K Owens; Paul J Wang; Mark A Hlatky
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2010-12-07

5.  Testing women with endometrial cancer to detect Lynch syndrome.

Authors:  Janice S Kwon; Jenna L Scott; C Blake Gilks; Molly S Daniels; Charlotte C Sun; Karen H Lu
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

6.  Health benefits and cost-effectiveness of primary genetic screening for Lynch syndrome in the general population.

Authors:  Tuan A Dinh; Benjamin I Rosner; James C Atwood; C Richard Boland; Sapna Syngal; Hans F A Vasen; Stephen B Gruber; Randall W Burt
Journal:  Cancer Prev Res (Phila)       Date:  2010-11-18

7.  Predictive genetic testing of first degree relatives of mutation carriers is a cost-effective strategy in preventing hereditary non-polyposis colorectal cancer in Singapore.

Authors:  Vivian Wei Wang; Poh Koon Koh; Wai Leng Chow; Jeremy Fung Yen Lim
Journal:  Fam Cancer       Date:  2012-06       Impact factor: 2.375

8.  Lynch syndrome screening implementation: business analysis by a healthcare system.

Authors:  James M Gudgeon; Janet L Williams; Randall W Burt; Wade S Samowitz; Gregory L Snow; Marc S Williams
Journal:  Am J Manag Care       Date:  2011-08-01       Impact factor: 2.229

9.  Probabilistic cost-effectiveness analysis of cascade screening for familial hypercholesterolaemia using alternative diagnostic and identification strategies.

Authors:  L Nherera; D Marks; R Minhas; M Thorogood; S E Humphries
Journal:  Heart       Date:  2011-07       Impact factor: 5.994

10.  The cost-effectiveness of genetic testing strategies for Lynch syndrome among newly diagnosed patients with colorectal cancer.

Authors:  Mercy Mvundura; Scott D Grosse; Heather Hampel; Glenn E Palomaki
Journal:  Genet Med       Date:  2010-02       Impact factor: 8.822

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  7 in total

1.  Economic evaluation of genomic sequencing in the paediatric population: a critical review.

Authors:  Khurshid Alam; Deborah Schofield
Journal:  Eur J Hum Genet       Date:  2018-05-24       Impact factor: 4.246

2.  Cost of cancer diagnosis using next-generation sequencing targeted gene panels in routine practice: a nationwide French study.

Authors:  Patricia Marino; Rajae Touzani; Lionel Perrier; Etienne Rouleau; Dede Sika Kossi; Zou Zhaomin; Nathanaël Charrier; Nicolas Goardon; Claude Preudhomme; Isabelle Durand-Zaleski; Isabelle Borget; Sandrine Baffert
Journal:  Eur J Hum Genet       Date:  2018-01-24       Impact factor: 4.246

Review 3.  Assessing the Costs and Cost-Effectiveness of Genomic Sequencing.

Authors:  Kurt D Christensen; Dmitry Dukhovny; Uwe Siebert; Robert C Green
Journal:  J Pers Med       Date:  2015-12-10

Review 4.  Next Generation Sequencing Methods for Diagnosis of Epilepsy Syndromes.

Authors:  Paul Dunn; Cassie L Albury; Neven Maksemous; Miles C Benton; Heidi G Sutherland; Robert A Smith; Larisa M Haupt; Lyn R Griffiths
Journal:  Front Genet       Date:  2018-02-07       Impact factor: 4.599

5.  Effect of Virtual Reality on Balance Function in Children With Cerebral Palsy: A Systematic Review and Meta-analysis.

Authors:  Wei Liu; Yuanyan Hu; Junfeng Li; Jindong Chang
Journal:  Front Public Health       Date:  2022-04-25

6.  What are people willing to pay for whole-genome sequencing information, and who decides what they receive?

Authors:  Deborah A Marshall; Juan Marcos Gonzalez; F Reed Johnson; Karen V MacDonald; Amy Pugh; Michael P Douglas; Kathryn A Phillips
Journal:  Genet Med       Date:  2016-06-02       Impact factor: 8.822

7.  Systematic Review of the Economic Evaluation of Returning Incidental Findings in Genomic Research.

Authors:  Mayara Fontes Marx; John E Ataguba; Jantina de Vries; Ambroise Wonkam
Journal:  Front Public Health       Date:  2021-07-01
  7 in total

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