Evidence map›Paper›PMID 22147367›Full record

ArticleGenome research2012

Disclosing pathogenic genetic variants to research participants: quantifying an emerging ethical responsibility.

Christopher A Cassa, Sarah K Savage, Patrick L Taylor, Robert C Green, Amy L McGuire, Kenneth D Mandl

Abstract read
In one paragraph

Article in Genome research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

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

  1. Pooled it
  2. Article
  3. Research ethics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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  11. A literature review at genome scale: improving clinical variant assessment.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Review
  12. Article
  13. Article
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  15. Review
  16. Article
  17. Review
  18. Article
  19. Family decision maker perspectives on the return of genetic results in biobanking research.Genetics in medicine : official journal of the American College of Medical Genetics · 2016
    Article
  20. 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

6 authors.

Christopher A CassaChildren's Hospital Informatics Program, Children's Hospital Boston, Boston, Massachusetts 02115, USA. cassa@alum.mit.edu.
Sarah K Savage
Patrick L Taylor
Robert C Green
Amy L McGuire
Kenneth D Mandl

Funding

Risk Evaluation and Education for Alzheimer's Disease (REVEAL IV)R01HG002213 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 1999 to 2012
$7.6M
RESEARCH TRAINING IN PEDIATRIC EMERGENCY MEDICINET32HD040128 · NICHD · CHILDREN'S HOSPITAL BOSTON · PI Kenneth D. Mandl · 2001 to 2026
$5.0M
Impact of Direct to Consumer Genetic TestingR01HG005092 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C., ROBERTS, SCOTT · 2010 to 2012
$1.1M
Presenting Genome Information in Patient Electronic Records: The Informed CohortRC1LM010470 · NLM · BOSTON CHILDREN'S HOSPITAL · PI KOHANE, ISAAC S., MANDL, KENNETH D. · 2009 to 2010
$1000k
Characterizing Communicating Genetic Risk Alzheimer'sK24AG027841 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2006 to 2010
$914k
NHGRI NIH HHS HG005092NHGRI NIH HHS HG02213NHGRI NIH HHS R01 HG002213NHGRI NIH HHS R01 HG005092NIA NIH HHS AG027841NIA NIH HHS K24 AG027841NICHD NIH HHS HD040128NICHD NIH HHS T32 HD040128NLM NIH HHS LM010470-01NLM NIH HHS RC1 LM010470
6 · The paper itself

Abstract

There is an emerging consensus that when investigators obtain genomic data from research participants, they may incur an ethical responsibility to inform at-risk individuals about clinically significant variants discovered during the course of their research. With whole-exome sequencing becoming commonplace and the falling costs of full-genome sequencing, there will be an increasingly large number of variants identified in research participants that may be of sufficient clinical relevance to share. An explicit approach to triaging and communicating these results has yet to be developed, and even the magnitude of the task is uncertain. To develop an estimate of the number of variants that might qualify for disclosure, we apply recently published recommendations for the return of results to a defined and representative set of variants and then extrapolate these estimates to genome scale. We find that the total number of variants meeting the threshold for recommended disclosure ranges from 3955-12,579 (3.79%-12.06%, 95% CI) in the most conservative estimate to 6998-17,189 (6.69%-16.48%, 95% CI) in an estimate including variants with variable disease expressivity. Additionally, if the growth rate from the previous 4 yr continues, we estimate that the total number of disease-associated variants will grow 37% over the next 4 yr.

Indexed as

DisclosureEthics, ResearchGenetic CounselingGenetic PrivacyGenetic ResearchGenetic VariationGenome-Wide Association StudyHumansUnited States

Identifiers

PMID22147367
PMCPMC3290777

What OpenQuestion holds

Textmetadata
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.