Evidence map›Paper›PMID 28486511›Full record

ArticlePloS one2017

Open sharing of genomic data: Who does it and why?

Tobias Haeusermann, Bastian Greshake, Alessandro Blasimme, Darja Irdam, Martin Richards, Effy Vayena

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
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  9. Controlling my genome with my smartphone: first clinical experiences of the PROMISE system.Clinical research in cardiology : official journal of the German Cardiac Society · 2022
    Article
  10. Impacts of personal DNA ancestry testing.Journal of community genetics · 2021
    Article
  11. A survey of direct-to-consumer genotype data, and quality control tool (Computational and structural biotechnology journal · 2021
    Article
  12. Article
  13. Just data? Solidarity and justice in data-driven medicine.Life sciences, society and policy · 2020
    Article
  14. Integrating Rules for Genomic Research, Clinical Care, Public Health Screening and DTC Testing: Creating Translational Law for Translational Genomics.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
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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.

Tobias HaeusermannHealth Ethics and Policy Lab, Epidemiology, Biostatistics & Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland.
Bastian GreshakeDepartment for Applied Bioinformatics, Institute for Cell Biology and Neuroscience, Goethe University, Frankfurt am Main, Germany.
Alessandro BlasimmeHealth Ethics and Policy Lab, Epidemiology, Biostatistics & Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland.
Darja IrdamDepartment of Sociology, University of Cambridge, Cambridge, United Kingdom.
Martin RichardsCentre for Family Research, Department of Psychology. University of Cambridge, Cambridge, United Kingdom.
Effy VayenaHealth Ethics and Policy Lab, Epidemiology, Biostatistics & Prevention Institute (EBPI), University of Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We explored the characteristics and motivations of people who, having obtained their genetic or genomic data from Direct-To-Consumer genetic testing (DTC-GT) companies, voluntarily decide to share them on the publicly accessible web platform openSNP. The study is the first attempt to describe open data sharing activities undertaken by individuals without institutional oversight. In the paper we provide a detailed overview of the distribution of the demographic characteristics and motivations of people engaged in genetic or genomic open data sharing. The geographical distribution of the respondents showed the USA as dominant. There was no significant gender divide, the age distribution was broad, educational background varied and respondents with and without children were equally represented. Health, even though prominent, was not the respondents' primary or only motivation to be tested. As to their motivations to openly share their data, 86.05% indicated wanting to learn about themselves as relevant, followed by contributing to the advancement of medical research (80.30%), improving the predictability of genetic testing (76.02%) and considering it fun to explore genotype and phenotype data (75.51%). Whereas most respondents were well aware of the privacy risks of their involvement in open genetic data sharing and considered the possibility of direct, personal repercussions troubling, they estimated the risk of this happening to be negligible. Our findings highlight the diversity of DTC-GT consumers who decide to openly share their data. Instead of focusing exclusively on health-related aspects of genetic testing and data sharing, our study emphasizes the importance of taking into account benefits and risks that stretch beyond the health spectrum. Our results thus lend further support to the call for a broader and multi-faceted conceptualization of genomic utility.

Indexed as

GenomicsInformation ServicesDirect-To-Consumer Screening and TestingFemaleHumansMale

Identifiers

PMID28486511
PMCPMC5423632

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.