Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: May 30, 2019
Open Peer Review Period: Jun 3, 2019 - Jul 29, 2019
Date Accepted: Sep 24, 2019
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Valuable Genomes: Taxonomy and Archetypes of Business Models in Direct-to-Consumer Genetic Testing

Thiebes S, Toussaint PA, Ju J, Ahn JH, Lyytinen K, Sunyaev A

Valuable Genomes: Taxonomy and Archetypes of Business Models in Direct-to-Consumer Genetic Testing

J Med Internet Res 2020;22(1):e14890

DOI: 10.2196/14890

PMID: 31961329

PMCID: 7001042

Valuable Genomes: A Taxonomy and Archetypes of Business Models in Direct-to-Consumer Genetic Testing

  • Scott Thiebes; 
  • Philipp A. Toussaint; 
  • Jaehyeon Ju; 
  • Jae-Hyeon Ahn; 
  • Kalle Lyytinen; 
  • Ali Sunyaev

ABSTRACT

Background:

Recent progress in genome data collection and analysis technologies has led to a surge of direct-to-consumer genetic testing services. Due to the clinical value and sensitivity of genomic data, as well as uncertainty and hearsay surrounding business practices of direct-to-consumer genetic testing service providers, direct-to-consumer genetic testing has faced significant criticism by researchers and practitioners. Research in this area has centered on ethical and legal implications of providing genetic tests directly to consumers, but we still lack a more profound understanding of how business in the direct-to-consumer genetic testing markets will work and provide value to different stakeholders.

Objective:

We address the lack of knowledge concerning business models of direct-to-consumer genetic testing services by systematically identifying salient properties of various direct-to-consumer genetic testing service business models as well as discerning dominant business models in the market.

Methods:

We employ a three-phased research approach. In phase one, we set up a database of 277 direct-to-consumer genetic testing services. In phase two, we draw on this data as well as conceptual models of direct-to-consumer genetic testing services and iteratively develop a taxonomy of direct-to-consumer genetic testing service business models., In phase three, we use a two-stage clustering method in order to cluster the 277 services that we identified during phase one and derive six dominant archetypes of direct-to-consumer genetic testing service business models.

Results:

The contributions of this research are twofold. First, we provide a first of its kind, systematically developed taxonomy of direct-to-consumer genetic testing service business models consisting of 15 dimensions in four categories. Each dimension comprises two to five characteristics and captures relevant aspects of direct-to-consumer genetic testing service business models. Second, we derive six archetypes of direct-to-consumer genetic testing service business models called: (1) Low Cost DTC Genomics for Enthusiasts; (2) High Privacy DTC Genomics for Enthusiasts; (3) Specific Information Tests; (4) Simple Health Tests; (5) Basic Low Value DTC Genomics; (6) Comprehensive Test, Low Data Processing.

Conclusions:

Our analysis paints a much more complex business landscape in the direct-to-consumer genetic testing markets than previously anticipated. This calls for further research on business models and their effects that underlie direct-to-consumer genetic testing services and invites specific regulatory interventions to protect consumers and level the playing field.


 Citation

Please cite as:

Thiebes S, Toussaint PA, Ju J, Ahn JH, Lyytinen K, Sunyaev A

Valuable Genomes: Taxonomy and Archetypes of Business Models in Direct-to-Consumer Genetic Testing

J Med Internet Res 2020;22(1):e14890

DOI: 10.2196/14890

PMID: 31961329

PMCID: 7001042

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.

Advertisement