Evidence map›Paper›PMID 31204388›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2019

Genetic data partnerships: academic publications with privately owned or generated genetic data.

Kayte Spector-Bagdady, Amanda Fakih, Chris Krenz, Erica E Marsh, J Scott Roberts

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. "A Double-Edged Sword": A Brief History of Genomic Data Governance and Genetic Researcher Perspectives on Data Sharing.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2024
    Article
  3. "Extremely slow and capricious": A qualitative exploration of genetic researcher priorities in selecting shared data resources.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Article
  4. Article
  5. Article
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

5 authors.

Kayte Spector-BagdadyDepartment of Obstetrics & Gynecology; Research Ethics Service, Center for Bioethics & Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI, USA. kaytesb@med.umich.edu.ORCID http://orcid.org/0000-0002-5851-6224
Amanda FakihHealth Management & Policy, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Chris KrenzCenter for Bioethics & Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-0514-4586
Erica E MarshDepartment of Obstetrics & Gynecology, University of Michigan Medical School, Ann Arbor, MI, USA.
J Scott RobertsHealth Behavior & Health Education, University of Michigan School of Public Health, Center for Bioethics & Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0003-1083-8299

Funding

Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
Genetic data partnerships: Enabling equitable access within academic/private data sharing agreementsK01HG010496 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPECTOR-BAGDADY, KAYTE KELLEHER · 2019 to 2023
$875k
NCATS NIH HHS UL1 TR 002240NCATS NIH HHS UL1 TR002240NHGRI NIH HHS K01 HG010496NHGRI NIH HHS K01HG010496
6 · The paper itself

Abstract

purposeAccess to large genetic data sets, many of which are privately owned, is essential to precision medicine and other research protocols. Academic researchers are increasingly capitalizing on this privately held data. Our goal is to understand these private-academic "genetic data partnerships."

methodsWe analyzed publications using human genetic data generated or held by major private genetic testing companies that were indexed in PubMed between 2011 and 2017.

resultsWe found that (1) the number of publications using private genetic data is increasing over time (from 4 in 2011 to 57 in 2017); (2) there are two main models of data-sharing, including researchers using existing private data held by industry (n = 172) or researchers sending in new samples for analysis (n = 6); (3) 45% of the publications were supported at least in part by the National Institutes of Health; and (4) the type of contributor consent is not disclosed/unclear in the publication almost half (43%) the time.

conclusionPrivately held or analyzed genetic databanks offer academic researchers the opportunity to efficiently access large amounts of genetic data. But more transparency should be encouraged, if not required, to ensure the proper notification of contributors and to further understand the use of public research funds for private collaborations.

Indexed as

Biomedical ResearchDatabases, GeneticDisclosureGenetic TestingHumansInformation DisseminationPrecision MedicinePublicationsPublishingResearch Personnelacademic researchersconsentgeneticsprecision medicineprivate companies

Identifiers

PMID31204388
PMCPMC6895407

What OpenQuestion holds

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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.