Evidence map›Paper›PMID 40985569›Full record

ArticleThe American journal of bioethics : AJOB2025

The Genetic Data Market: Institutional Governance of Academic/Industry Research Partnerships for the Public Good.

Kayte Spector-Bagdady

Abstract read
In one paragraph

Article in The American journal of bioethics : AJOB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Kayte Spector-BagdadyUniversity of Michigan.ORCID 0000-0002-5851-6224

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
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
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 TR002240NHGRI NIH HHS K01 HG010496
6 · The paper itself

Abstract

The Trump Administration's cuts to research funding and opposition to diversity, equity, and inclusion is destabilizing academic research. These attacks coincide with pointed government support for the private sector. But the conceptualization of academic versus private sector health research has historically been a false binary. Drawing on mixed methods research, this paper examines the genomic data market as an example of advantages and challenges of commercializing academic expertise. It also highlights the structural downsides of researchers individually navigating industry partnerships. While academia is currently being put in the unenviable position of being more likely to need the private sector to conduct research, with less federal funding to offer in exchange, structural pain points have existed for decades. This is an opportunity for academia to harness its powers of expertise and collective action to develop institutional policy to ensure academic/industry research is beneficial to the public health and diverse patient communities.

Indexed as

Biomedical ResearchGenetic ResearchGenomicsPrivate SectorPublic-Private Sector PartnershipsCooperative BehaviorHumansPublic HealthResearch PersonnelResearch Support as TopicUnited StatesUniversitiesAIdataGeneticsindustrypublic/private partnerships

Identifiers

PMID40985569
PMCPMC12520235

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.