Evidence map›Paper›PMID 36371759›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2023

"Extremely slow and capricious": A qualitative exploration of genetic researcher priorities in selecting shared data resources.

M Grace Trinidad, Kerry A Ryan, Chris D Krenz, J Scott Roberts, Amy L McGuire, Raymond De Vries, Brian J Zikmund-Fisher, Sharon Kardia, Erica Marsh, Jane Forman and 3 more

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  5. Article
  6. "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
  7. Review
  8. Review
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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

13 authors.

M Grace TrinidadDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI.
Kerry A RyanCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI.
Chris D KrenzCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI.
J Scott RobertsCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI; Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
Amy L McGuireCenter for Medical Ethics and Health Policy, Baylor College of Medicine, Houston, TX.
Raymond De VriesDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI; Center for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI; Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI.
Brian J Zikmund-FisherCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI; Department of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, MI.
Sharon KardiaDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI.
Erica MarshDepartment of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI.
Jane FormanVA Ann Arbor Healthcare System, Ann Arbor, MI.
Madison KentDavid Geffen School of Medicine at the University of California Los Angeles, Los Angeles, CA.
David WilbornUniversity of Michigan, Ann Arbor, MI.
Kayte Spector-BagdadyCenter for Bioethics and Social Sciences in Medicine, University of Michigan Medical School, Ann Arbor, MI; Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, Ann Arbor, MI. Electronic address: kaytesb@med.umich.edu.

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
The Sulston Project: making the knowledge commons for interpreting cancer genomic variants more effectiveR01CA237118 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI COOK-DEEGAN, ROBERT MULLAN, MCGUIRE, AMY L · 2019 to 2022
$2.4M
Hospitals Sharing Patient Data and Biospecimens with Commercial Entities: Evidence-Based Translation to Improved PracticeR01TR004244 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SPECTOR-BAGDADY, KAYTE KELLEHER · 2022 to 2025
$1.9M
BRAINShare: Sharing Data in BRAIN Initiative StudiesR01MH126937 · NIMH · BAYLOR COLLEGE OF MEDICINE · PI MCGUIRE, AMY L, SHETH, SAMEER ANIL · 2021 to 2024
$1.8M
University of Michigan Training Program in ELSI ResearchT32HG010030 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROBERTS, SCOTT · 2018 to 2022
$962k
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 R01 TR004244NCATS NIH HHS UL1 TR002240NCI NIH HHS R01 CA237118NHGRI NIH HHS K01 HG010496NHGRI NIH HHS T32 HG010030NIMH NIH HHS R01 MH126937
6 · The paper itself

Abstract

purposeGenetic researchers' selection of a database can have scientific, regulatory, and ethical implications. It is important to understand what is driving database selection such that database stewards can be responsive to user needs while balancing the interests of communities in equitably benefiting from advances.

methodsWe conducted 23 semistructured interviews with US academic genetic researchers working with private, government, and collaboratory data stewards to explore factors that they consider when selecting a genetic database.

resultsInterviewees used existing databases to avoid burdens of primary data collection, which was described as expensive and time-consuming. They highlighted ease of access as the most important selection factor, integrating concepts of familiarity and efficiency. Data features, such as size and available phenotype, were also important. Demographic diversity was not originally cited by any interviewee as a pivotal factor; when probed, most stated that the option to consider diversity in database selection was limited. Database features, including integrity, harmonization, and storage were also described as key components of efficient use.

conclusionThere is a growing market and competition between genetic data stewards. Data need to be accessible, harmonized, and administratively supported for their existence to be translated into use and, in turn, result in scientific advancements across diverse communities.

Indexed as

Information DisseminationResearch PersonnelHumansData setDiversityELSIEthicsPolicy

Identifiers

PMID36371759
PMCPMC9843821

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.