Short-term costs of integrating whole-genome sequencing into primary care and cardiology settings: a pilot randomized trial

Kurt D Christensen, Jason L Vassy, Kathryn A Phillips, Carrie L Blout, Danielle R Azzariti, Christine Y Lu, Jill O Robinson, Kaitlyn Lee, Michael P Douglas, Jennifer M Yeh, Kalotina Machini, Natasha K Stout, Heidi L Rehm, Amy L McGuire, Robert C Green, Dmitry Dukhovny, MedSeq Project, Kurt D Christensen, Jason L Vassy, Kathryn A Phillips, Carrie L Blout, Danielle R Azzariti, Christine Y Lu, Jill O Robinson, Kaitlyn Lee, Michael P Douglas, Jennifer M Yeh, Kalotina Machini, Natasha K Stout, Heidi L Rehm, Amy L McGuire, Robert C Green, Dmitry Dukhovny, MedSeq Project

Abstract

Purpose: Great uncertainty exists about the costs associated with whole-genome sequencing (WGS).

Methods: One hundred cardiology patients with cardiomyopathy diagnoses and 100 ostensibly healthy primary care patients were randomized to receive a family-history report alone or with a WGS report. Cardiology patients also reviewed prior genetic test results. WGS costs were estimated by tracking resource use and staff time. Downstream costs were estimated by identifying services in administrative data, medical records, and patient surveys for 6 months.

Results: The incremental cost per patient of WGS testing was $5,098 in cardiology settings and $5,073 in primary care settings compared with family history alone. Mean 6-month downstream costs did not differ statistically between the control and WGS arms in either setting (cardiology: difference = -$1,560, 95% confidence interval -$7,558 to $3,866, p = 0.36; primary care: difference = $681, 95% confidence interval -$884 to $2,171, p = 0.70). Scenario analyses showed the cost reduction of omitting or limiting the types of secondary findings was less than $69 and $182 per patient in cardiology and primary care, respectively.

Conclusion: Short-term costs of WGS were driven by the costs of sequencing and interpretation rather than downstream health care. Disclosing additional types of secondary findings has a limited cost impact following disclosure.

Keywords: cardiology; costs; economics; primary care; whole-genome sequencing.

Conflict of interest statement

Conflict of interest

The authors declare the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Dr. McGuire is a consultant for Human Longevity outside the submitted work. Dr. Green receives compensation for speaking or consultation from AIA, GenePeeks, Helix, Illumina, Ohana, Prudential and Veritas, and is co-founder and advisor to Genome Medical, Inc. Dr. Dukhovny reports consulting for Vermont Oxford Network, Gerson Lehrman Group, and ClearView Healthcare Partners and being faculty for Vermont Oxford Network outside the submitted work.

References

    1. McCarthy JJ, McLeod HL, Ginsburg GS. Genomic medicine: a decade of successes, challenges, and opportunities. Sci Transl Med. 2013;5(189):189sr184–189sr184.
    1. Manolio TA. Incorporating whole-genome sequencing into primary care: falling barriers and next steps. Ann Intern Med. 2017;167(3):204–205.
    1. Armstrong K. Can genomics bend the cost curve? JAMA. 2012;307(10):1031–1032.
    1. Phillips KA, Ann Sakowski J, Trosman J, Douglas MP, Liang S-Y, Neumann P. The economic value of personalized medicine tests: what we know and what we need to know. Genet Med. 2014;16(3):251–257.
    1. Hatz MH, Schremser K, Rogowski WH. Is individualized medicine more cost-effective? A systematic review. PharmacoEconomics. 2014;32(5):443–455.
    1. Diamandis EP. The Hundred Person Wellness Project and Google's Baseline Study: medical revolution or unnecessary and potentially harmful over-testing? BMC Med. 2015;13:5.
    1. Caulfield T, Evans J, McGuire A, et al. Reflections on the cost of "low-cost" whole genome sequencing: framing the health policy debate. PLoS Biol. 2013;11(11):e1001699.
    1. Tsiplova K, Zur RM, Marshall CR, et al. A microcosting and cost-consequence analysis of clinical genomic testing strategies in autism spectrum disorder. Genet Med. 2017;19(11):1268–1275.
    1. Sabatini LM, Mathews C, Ptak D, et al. Genomic sequencing procedure microcosting analysis and health economic cost-impact analysis: a report of the Association for Molecular Pathology. J Mol Diagn. 2016;18(3):319–328.
    1. Sagoo GS, Norbury G, Mohammed S, Kroese M. Whole-exome sequencing in clinical genetics. A health economic evaluation. Cambridge, UK: PHG Foundation; 2017.
    1. Stark Z, Schofield D, Alam K, et al. Prospective comparison of the cost-effectiveness of clinical whole-exome sequencing with that of usual care overwhelmingly supports early use and reimbursement. Genet Med. 2017;19(8):867–874.
    1. Tan TY, Dillon OJ, Stark Z, et al. Diagnostic impact and cost-effectiveness of whole-exome sequencing for ambulant children with suspected monogenic conditions. JAMA pediatrics. 2017;171(9):855–862.
    1. Hegde M, Bale S, Bayrak-Toydemir P, et al. Reporting incidental findings in genomic scale clinical sequencing—a clinical laboratory perspective: a report of the Association for Molecular Pathology. J Mol Diagn. 2015;17(2):107–117.
    1. Bennette CS, Gallego CJ, Burke W, Jarvik GP, Veenstra DL. The cost-effectiveness of returning incidental findings from next-generation genomic sequencing. Genet Med. 2015;17(7):587–595.
    1. Christensen KD, Roberts JS, Whitehouse PJ, et al. Disclosing pleiotropic effects during genetic risk assessment for Alzheimer disease. A randomized trial. Ann Intern Med. 2016;164(3):155–163.
    1. Phillips KA, Pletcher MJ, Ladabaum U. Is the "$1000 genome" really $1000? Understanding the full benefits and costs of genomic sequencing. Technol Health Care. 2015;23(3):373–379.
    1. Christensen KD, Vassy JL, Jamal L, et al. Are physicians prepared for whole genome sequencing? a qualitative analysis. Clin Genet. 2016;89(2):228–234.
    1. Vassy JL, Christensen KD, Schonman EF, et al. The impact of whole genome sequencing on the primary care and outcomes of healthy adult patients: a pilot randomized trial. Ann Intern Med. 2017;167(3):159–169.
    1. Vassy J, Lautenbach D, McLaughlin H, et al. The MedSeq Project: a randomized trial of integrating whole genome sequencing into clinical medicine. Trials. 2014;15(1):85.
    1. McLaughlin HM, Ceyhan-Birsoy O, Christensen KD, et al. A systematic approach to the reporting of medically relevant findings from whole genome sequencing. BMC Med Genet. 2014;15:134.
    1. Kong SW, Lee IH, Leshchiner I, et al. Summarizing polygenic risks for complex diseases in a clinical whole-genome report. Genet Med. 2015;17(7):536–544.
    1. Vassy JL, McLaughlin HL, MacRae CA, et al. A one-page summary report of genome sequencing for the healthy adult. Public Health Genomics. 2015;18(2):123–129.
    1. Cirino AL, Lakdawala NK, McDonough B, et al. A comparison of whole genome sequencing to multigene panel testing in hypertrophic cardiomyopathy patients. Circulation Cardiovascular Genetics. 2017;10(5):e001768.
    1. Ramsey SD, Willke RJ, Glick H, et al. Cost-effectiveness analysis alongside clinical trials II—an ISPOR Good Research Practices Task Force report. Value Health. 2015;18(2):161–172.
    1. Sanders GD, Neumann PJ, Basu A, et al. Recommendations for conduct, methodological practices, and reporting of cost-effectiveness analyses: Second panel on cost-effectiveness in health and medicine. JAMA. 2016;316(10):1093–1103.
    1. Frick KD. Microcosting quantity data collection methods. Med Care. 2009;47(7_Supplement_1):S76–S81.
    1. National Human Genome Research Institute. [Accessed Nov 30, 2016];The cost of sequencing a human genome. 2016
    1. Dukhovny D, Dennis CL, Hodnett E, et al. Prospective economic evaluation of a peer support intervention for prevention of postpartum depression among high-risk women in Ontario, Canada. Am J Perinatol. 2013;30(8):631–642.
    1. Pagon RA, Tarczy-Hornoch P, Baskin PK, et al. GeneTests-GeneClinics: Genetic testing information for a growing audience. Hum Mutat. 2002;19(5):501–509.
    1. Hamosh A, Scott AF, Amberger J, Valle D, McKusick VA. Online Mendelian Inheritance in Man (OMIM) Hum Mutat. 2000;15(1):57–61.
    1. Kalia SS, Adelman K, Bale SJ, et al. Recommendations for reporting of secondary findings in clinical exome and genome sequencing, 2016 update (ACMG SF v2.0): a policy statement of the American College of Medical Genetics and Genomics. Genet Med. 2017;19(2):249–255.
    1. Dewey FE, Grove ME, Pan C, et al. Clinical interpretation and implications of whole-genome sequencing. JAMA. 2014;311(10):1035–1045.
    1. Baudhuin LM, Lagerstedt SA, Klee EW, Fadra N, Oglesbee D, Ferber MJ. Confirming variants in next-generation sequencing panel testing by Sanger sequencing. J Mol Diagn. 2015;17(4):456–461.
    1. Walsh R, Thomson KL, Ware JS, et al. Reassessment of Mendelian gene pathogenicity using 7,855 cardiomyopathy cases and 60,706 reference samples. Genet Med. 2017;19(2):192–203.
    1. Chakravorty S, Hegde M. Gene and variant annotation for Mendelian disorders in the era of advanced sequencing technologies. Annu Rev Genomics Hum Genet. 2017;18:229–256.
    1. Berg JS, Foreman AK, O'Daniel JM, et al. A semiquantitative metric for evaluating clinical actionability of incidental or secondary findings from genome-scale sequencing. Genet Med. 2016;18(5):467–475.
    1. ClinGen Clinical Genome Resource. [Accessed Mar 17, 2017];Actionability Working Group Evidence-based Summaries. 2017
    1. Yu J-H, Harrell TM, Jamal SM, Tabor HK, Bamshad MJ. Attitudes of genetics professionals toward the return of incidental results from exome and whole-genome sequencing. Am J Hum Genet. 2014;95(1):77–84.
    1. Kohane IS, Hsing M, Kong SW. Taxonomizing, sizing, and overcoming the incidentalome. Genet Med. 2012;14(4):399–404.
    1. Bustamante CD, Burchard EG, De La Vega FM. Genomics for the world. Nature. 2011;475(7355):163–165.

Source: PubMed

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