Evidence map›Paper›PMID 32775691›Full record

ArticleExpert review of precision medicine and drug development2019

Privacy and ethical challenges in next-generation sequencing.

Nicole Martinez-Martin, David Magnus

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Expert review of precision medicine and drug development, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% of its field
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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Nicole Martinez-MartinStanford Center for Biomedical Ethics, Stanford University, Stanford, CA, USA.ORCID 0000-0001-9345-0462
David MagnusStanford Center for Biomedical Ethics, Stanford University, Stanford, CA, USA.
Stanford University · US

Funding

The Stanford Training Program in ELSI ResearchT32HG008953 · NHGRI · STANFORD UNIVERSITY · PI Mildred K. Cho, Meghan Halley · 2016 to 2026
$3.1M
NHGRI NIH HHS T32 HG008953
6 · The paper itself

Abstract

introductionNext-generation sequencing (NGS) is expected to revolutionize health care. NGS allows for sequencing of the whole genome more cheaply and quickly than previous techniques. NGS offers opportunities to advance medical diagnostics and treatments, but also raises complicated ethical questions that need to be addressed. AREAS CONSIDERED: This article draws from the literature on research and clinical ethics, as well as next-generation sequencing, in order to provide an overview of the ethical challenges involved in next-generation sequencing. This article includes a discussion of the ethics of NGS in research and clinical contexts. EXPERT OPINION: The use of NGS in clinical and research contexts has features that pose challenges for traditional ethical frameworks for protecting research participants and patients. NGS generates massive amounts of data and results that vary in terms of known clinical relevance. It is important to determine appropriate processes for protecting, managing and communicating the data. The use of machine learning for sequencing and interpretation of genomic data also raises concerns in terms of the potential for bias and potential implications for fiduciary obligations. NGS poses particular challenges in three main ethical areas: privacy, informed consent, and return of results.

Indexed as

ethicsNext generation sequencingprivacy

Identifiers

PMID32775691
PMCPMC7413244
OpenAlexW2938646760

What OpenQuestion holds

Textmetadata
LicenceTDM
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.