Evidence map›Paper›PMID 26540154›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

The promise and peril of genomic screening in the general population.

Michael C Adams, James P Evans, Gail E Henderson, Jonathan S Berg

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. 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
6.7field-weighted citation impact, top 3% 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, 59 citations in OpenAlex.

  1. A systematic review of the methodological quality of economic evaluations in genetic screening and testing for monogenic disorders.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
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  18. Age and perceived risks and benefits of preventive genomic screening.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
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  19. Genomic Screening: The Mutation and the Mustard Seed.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2018
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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

4 authors at 1 institution in 1 country.

Michael C AdamsDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
James P EvansDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Gail E HendersonDepartment of Social Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-4968-7064
Jonathan S BergDepartment of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-2360-2664
University of North Carolina at Chapel Hill · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI David Darr · 1985 to 2026
$201.5M
North Carolina Clinical Genomic Evaluation by Next-gen Exome Sequencing 2U01HG006487 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERG, JONATHAN S, POWELL, BRADFORD C. · 2012 to 2021
$22.7M
Center for Genomics and SocietyP50HG004488 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HENDERSON, GAIL E · 2007 to 2017
$12.6M
NCI NIH HHS P30 CA016086NHGRI NIH HHS P50 HG004488NHGRI NIH HHS U01 HG006487
6 · The paper itself

Abstract

purposeUtilization of sequencing to screen the general population for preventable monogenic conditions is receiving substantial attention because of its potential to decrease morbidity and mortality. However, the selection of which variants to return is a serious implementation challenge. Procedures must be investigated to ensure optimal test characteristics and avoidance of harm from false-positive test results.

methodsWe scanned exome sequences from 478 well-phenotyped individuals for potentially pathogenic variants in 17 genes representing 11 conditions that are among the most medically actionable Mendelian disorders in adults. We developed five variant selection algorithms with increasing sensitivity and measured their specificity in these 17 genes.

resultsVariant selection algorithms with increasing sensitivity exhibited decreased specificity, and performance was highly dependent on the genes analyzed. The most sensitive algorithm ranged from 88.8 to 99.6% specificity among the 17 genes.

conclusionFor conditions with very low prevalence, small reductions in specificity greatly increase false positives. This inescapable test characteristic governs the predictive value of genomic sequencing in the general population. To address this issue, test performance must be evaluated systematically for each condition so that the false negatives and false positives can be tailored for optimal outcomes, depending on the downstream clinical consequences.Genet Med 18 6, 593-599.

Indexed as

Exome SequencingFalse Positive ReactionsGenetic Diseases, InbornGenetics, PopulationGenetic TestingGenomicsHumans

Identifiers

PMID26540154
PMCPMC4860183
OpenAlexW2263174193

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.