Evidence map›Paper›PMID 31961329›Full record

ArticleJournal of medical Internet research2020

Valuable Genomes: 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 read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

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  9. Drama as a Powerful Tool to Enrich Socio-scientific Argumentation.International journal of science and mathematics education · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Scott Thiebes *Department of Economics and Management, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0002-6917-1831
Philipp A Toussaint *Department of Economics and Management, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0002-1617-3307
Jaehyeon JuDesautels Faculty of Management, McGill University, Montreal, QC, Canada.ORCID 0000-0003-3140-4019
Jae-Hyeon AhnCollege of Business, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea.ORCID 0000-0002-0490-001X
Kalle LyytinenDepartment of Design and Innovation, Case Western Reserve University, Cleveland, OH, United States.ORCID 0000-0002-3352-5343
Ali SunyaevDepartment of Economics and Management, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID 0000-0002-4353-8519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent progress in genome data collection and analysis technologies has led to a surge of direct-to-consumer (DTC) genetic testing services. Owing to the clinical value and sensitivity of genomic data, as well as uncertainty and hearsay surrounding business practices of DTC genetic testing service providers, DTC 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 businesses in the DTC genetic testing markets work and provide value to different stakeholders.

objectiveThe aim of this study was to address the lack of knowledge concerning business models of DTC genetic testing services by systematically identifying the salient properties of various DTC genetic testing service business models as well as discerning dominant business models in the market.

methodsWe employed a 3-phased research approach. In phase 1, we set up a database of 277 DTC genetic testing services. In phase 2, we drew on these data as well as conceptual models of DTC genetic testing services and iteratively developed a taxonomy of DTC genetic testing service business models. In phase 3, we used a 2-stage clustering method to cluster the 277 services that we identified during phase 1 and derived 6 dominant archetypes of DTC genetic testing service business models.

resultsThe contributions of this research are 2-fold. First, we provided a first of its kind, systematically developed taxonomy of DTC genetic testing service business models consisting of 15 dimensions in 4 categories. Each dimension comprises 2 to 5 characteristics and captures relevant aspects of DTC genetic testing service business models. Second, we derived 6 archetypes of DTC genetic testing service business models named as follows: (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, and (6) comprehensive tests and low data processing.

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

Indexed as

ClassificationDirect-To-Consumer Screening and TestingGenetic TestingGenomicsHumanscluster analysisdirect-to-consumer screening and testinggenetic privacygenetic testinggenomicstaxonomy

Identifiers

PMID31961329
PMCPMC7001042

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.