Evidence map›Paper›PMID 30487145›Full record

ArticleCold Spring Harbor molecular case studies2018

High-frequency actionable pathogenic exome variants in an average-risk cohort.

Shannon Rego, Orit Dagan-Rosenfeld, Wenyu Zhou, M Reza Sailani, Patricia Limcaoco, Elizabeth Colbert, Monika Avina, Jessica Wheeler, Colleen Craig, Denis Salins and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Cold Spring Harbor molecular case studies, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. A systematic literature review of disclosure practices and reported outcomes for medically actionable genomic secondary findings.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Pooled it
  2. Article
  3. Elective genomic sequencing for adults in research, clinical and commercial contexts.medRxiv : the preprint server for health sciences · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Health care utilization and behavior changes after workplace genetic testing at a large US health care system.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  8. Mechanisms of RBM20 Cardiomyopathy: Insights From Model Systems.Circulation. Genomic and precision medicine · 2024
    Review
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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

16 authors at 2 institutions in 2 countries.

Shannon Rego *Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.ORCID 0000-0003-1910-7441
Orit Dagan-Rosenfeld *Department of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Wenyu ZhouDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
M Reza SailaniDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Patricia LimcaocoDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Elizabeth ColbertDepartment of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA.
Monika AvinaDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Jessica WheelerDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Colleen CraigDepartment of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA.
Denis SalinsDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Hannes L RöstDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Jessilyn DunnDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Tracey McLaughlinDepartment of Medicine, Stanford University School of Medicine, Stanford, California 94305, USA.
Lars M SteinmetzDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Jonathan A BernsteinDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California 94305, USA.
Michael P SnyderDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Stanford University · USEuropean Molecular Biology Laboratory · DE

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Training CoreU54EB020405 · NIBIB · STANFORD UNIVERSITY · PI DELP, SCOTT L · 2014 to 2018
$11.6M
Longitudinal Multi-Omic Profiles to Reveal Mechanisms of Obesity-Mediated Insulin ResistanceR01DK110186 · NIDDK · STANFORD UNIVERSITY · PI MCLAUGHLIN, TRACEY, SNYDER, MICHAEL P. · 2017 to 2021
$3.2M
NIBIB NIH HHS U54 EB020405NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R01 DK110186
6 · The paper itself

Abstract

Exome sequencing is increasingly utilized in both clinical and nonclinical settings, but little is known about its utility in healthy individuals. Most previous studies on this topic have examined a small subset of genes known to be implicated in human disease and/or have used automated pipelines to assess pathogenicity of known variants. To determine the frequency of both medically actionable and nonactionable but medically relevant exome findings in the general population we assessed the exomes of 70 participants who have been extensively characterized over the past several years as part of a longitudinal integrated multiomics profiling study. We analyzed exomes by identifying rare likely pathogenic and pathogenic variants in genes associated with Mendelian disease in the Online Mendelian Inheritance in Man (OMIM) database. We then used American College of Medical Genetics (ACMG) guidelines for the classification of rare sequence variants. Additionally, we assessed pharmacogenetic variants. Twelve out of 70 (17%) participants had medically actionable findings in Mendelian disease genes. Five had phenotypes or family histories associated with their genetic variants. The frequency of actionable variants is higher than that reported in most previous studies and suggests added benefit from utilizing expanded gene lists and manual curation to assess actionable findings. A total of 63 participants (90%) had additional nonactionable findings, including 60 who were found to be carriers for recessive diseases and 21 who have increased Alzheimer's disease risk because of heterozygous or homozygous

Indexed as

Incidental FindingsAdultAllelesCohort StudiesDatabases, GeneticExomeExome SequencingFemaleGene FrequencyGenetic Predisposition to DiseaseGenetic TestingGenetic VariationGenomicsGenotypeHealthy VolunteersHumansdiabetes mellitusdilated cardiomyopathymaturity-onset diabetes of the young

Identifiers

PMID30487145
PMCPMC6318774
OpenAlexW2951077737

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.