Evidence map›Paper›PMID 22323072›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2012

Taxonomizing, sizing, and overcoming the incidentalome.

Isaac S Kohane, Michael Hsing, Sek Won Kong

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 1 pooled it
–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

75 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. ACMG recommendations for reporting of incidental findings in clinical exome and genome sequencing.Genetics in medicine : official journal of the American College of Medical Genetics · 2013
    Guideline
  2. Short-term costs of integrating whole-genome sequencing into primary care and cardiology settings: a pilot randomized trial.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Trial
  3. Trial
  4. Review
  5. Review
  6. Article
  7. From Genetics to Genomics: Facing the Liability Implications in Clinical Care.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
    Article
  8. The Streetlight Effect: Regulating Genomics Where the Light Is.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
    Article
  9. How Can Law and Policy Advance Quality in Genomic Analysis and Interpretation for Clinical Care?The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. A survey of current practices for genomic sequencing test interpretation and reporting processes in US laboratories.Genetics in medicine : official journal of the American College of Medical Genetics · 2017
    Article
  15. Article
  16. Article
  17. The current state of clinical interpretation of sequence variants.Current opinion in genetics & development · 2017
    Review
  18. Review
  19. Article
  20. Article

15 more citing papers are in PubMed but not listed here.

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.

Isaac S KohaneChildren's Hospital Informatics Program, Children's Hospital, Boston, Massachusetts, USA. isaac_kohane@harvard.edu
Michael Hsing
Sek Won Kong

Funding

Managing Incidental Findings in Human Subjects ResearchR01HG003178 · NHGRI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI WOLF, SUSAN M. · 2005 to 2010
$1.5M
Preventing the IncidentalomeR01LM010125 · NLM · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S. · 2009 to 2010
$1.2M
NHGRI NIH HHS 2-R01-HG003178NHGRI NIH HHS R01 HG003178NLM NIH HHS 5R01LM010125-02NLM NIH HHS R01 LM010125
6 · The paper itself

Abstract

purposeWith the advent of whole-genome sequencing made clinically available, the number of incidental findings is likely to rise. The false-positive incidental findings are of particular clinical concern. We provide estimates on the size of these false-positive findings and classify them into four broad categories.

methodsWhole-genome sequences (WGS) of nine individuals were scanned with several comprehensive public annotation databases and average estimates for the number of findings. These estimates were then evaluated in the perspective of various sources of false-positive annotation errors.

resultsAt present there are four main sources of false-positive incidental findings: erroneous annotations, sequencing error, incorrect penetrance estimates, and multiple hypothesis testing. Of these, the first two are likely to be addressed in the near term. Conservatively, current methods deliver hundreds of false-positive incidental findings per individual.

conclusionThe burden of false-positives in whole-genome sequence interpretation threatens current capabilities to deliver clinical-grade whole-genome clinical interpretation. A new generation of population studies and retooling of the clinical decision-support approach will be required to overcome this threat.

Indexed as

Incidental FindingsFalse Positive ReactionsGenetics, MedicalGenome, HumanGenomicsHumansReproducibility of ResultsResearch SubjectsSequence Analysis, DNATruth Disclosure

Identifiers

PMID22323072
PMCPMC3821385

What OpenQuestion holds

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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.