Evidence map›Paper›PMID 36922706›Full record

ArticleSocial studies of science2023

Reflexive standardization and the resolution of uncertainty in the genomics clinic.

Adam Hedgecoe, Kathleen Job, Angus Clarke

Open access · hybridAbstract read
In one paragraph

Article in Social studies of science, 2023. 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
1.9field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Adam HedgecoeCardiff University, Cardiff, UK.ORCID 0000-0002-8965-3889
Kathleen JobCardiff University, Cardiff, UK.
Angus ClarkeCardiff University, Cardiff, UK.
Cardiff University · GB

Funding

Wellcome Trust 108604
6 · The paper itself

Abstract

In genomics, the clinical application of Next Generation Sequencing technologies (such as Whole Genome or Exome Sequencing) has attracted considerable attention from UK policymakers, interested in the benefits such technologies could bring the National Health Service. However, this boosterism plays little attention to the challenges raised by a kind of result known as a Variant of Uncertain Significance, or VUS, which require clinical geneticists and related colleagues to classify ambiguous genomic variants as 'benign' or 'pathogenic'. With a rigorous analysis based on data gathered at 290 clinical meetings over a two-year period, this paper presents the first ethnographic account of decision-making around NGS technology in a NHS clinical genomics service, broadening our understanding of the role formal criteria play in the classification of VUS. Drawing on Stefan Timmermans' concept of 'reflexive standardisation' to explore the way in which clinical genetics staff classify such variants this paper explores the application of a set of criteria drafted by the American College of Medical Genetics and Genomics, highlighting the flexible way in which various resources - variant databases, computer programmes, the research literature - are drawn on to reach a decision. A crucial insight is how professionals' perception of, and trust in, the clinical practice at other genomics centres in the NHS, shapes their own application of criteria and the classification of a VUS as either benign or pathogenic.

Indexed as

GenomicsState MedicineHigh-Throughput Nucleotide SequencingHumansUncertaintygenomicsvariants of uncertain significancewhole exome sequencingwhole genome sequencing

Identifiers

PMID36922706
PMCPMC7614615
OpenAlexW4327615382

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.