ArticleThe American journal of bioethics : AJOB2015
Looking for Trouble: Preventive Genomic Sequencing in the General Population and the Role of Patient Choice.
Article in The American journal of bioethics : AJOB, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Public Preferences for Genetic and Genomic Risk-Informed Chronic Disease Screening and Early Detection: A Systematic Review of Discrete Choice Experiments.Applied health economics and health policy · 2025Pooled it
- Assessing the implications of positive genomic screening results.Personalized medicine · 2020Article
- Age and perceived risks and benefits of preventive genomic screening.Genetics in medicine : official journal of the American College of Medical Genetics · 2018Article
- Renewing Medicine's basic concepts: on ambiguity.Philosophy, ethics, and humanities in medicine : PEHM · 2018Article
- The Ethics of General Population Preventive Genomic Sequencing: Rights and Social Justice.The Journal of medicine and philosophy · 2018Article
- Improved ethical guidance for the return of results from psychiatric genomics research.Molecular psychiatry · 2018Article
- The Continuing Evolution of Ethical Standards for Genomic Sequencing in Clinical Care: Restoring Patient Choice.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2017Article
- Precisely Where Are We Going? Charting the New Terrain of Precision Prevention.Annual review of genomics and human genetics · 2017Review
- Which Results to Return: Subjective Judgments in Selecting Medically Actionable Genes.Genetic testing and molecular biomarkers · 2017Article
- Article
- Personal Genome Sequencing in Ostensibly Healthy Individuals and the PeopleSeq Consortium.Journal of personalized medicine · 2016Review
- Article
- Preventive Genomic Sequencing in the General Population: Do PGS Fly?The American journal of bioethics : AJOB · 2015Article
- Scrutinizing the Right Not to Know.The American journal of bioethics : AJOB · 2015Article
- Behavioral Genetics in Criminal and Civil Courts.Harvard review of psychiatryReview
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Advances in genomics have led to calls for developing population-based preventive genomic sequencing (PGS) programs with the goal of identifying genetic health risks in adults without known risk factors. One critical issue for minimizing the harms and maximizing the benefits of PGS is determining the kind and degree of control individuals should have over the generation, use, and handling of their genomic information. In this article we examine whether PGS programs should offer individuals the opportunity to selectively opt out of the sequencing or analysis of specific genomic conditions (the menu approach) or whether PGS should be implemented using an all-or-nothing panel approach. We conclude that any responsible scale-up of PGS will require a menu approach that may seem impractical to some, but that draws its justification from a rich mix of normative, legal, and practical considerations.
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What OpenQuestion holds
Registered trials
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.