Evidence map›Paper›PMID 24618965›Full record

ArticleJAMA2014

Clinical interpretation and implications of whole-genome sequencing.

Frederick E Dewey, Megan E Grove, Cuiping Pan, Benjamin A Goldstein, Jonathan A Bernstein, Hassan Chaib, Jason D Merker, Rachel L Goldfeder, Gregory M Enns, Sean P David and 18 more

2 registry-linked trialsOpen access · greenAbstract read
In one paragraph

Article in JAMA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 243 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
243citing papers in PubMed, 5 pooled it
61.6field-weighted citation impact, top 1% 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.

NCT02422511 nacompletednot on this mapstarted 2015, after this paper: background citation

Genomic Sequencing for Childhood Risk and Newborn Illness (The BabySeq Project)

TypeinterventionalSponsorBrigham and Women's HospitalRan2015 to 2021Enrolled1,205ConditionsHereditary Disease, Genetic Predisposition to DiseaseArmsGenomic sequencing, Family history report
NCT03931707 recruitingnot on this mapstarted 2016, after this paper: background citation

The China Neonatal Genomes Project

TypeobservationalSponsorChildren's Hospital of Fudan UniversityRan2016 to 2026Enrolled100,000ConditionsNewborn, Hereditary Disease, Genetic Predisposition to Disease, Defect, CongenitalArmsGenomic sequencing
3 · Its place in the literature

Who cites it

243 citing papers in PubMed, 5 syntheses or guidelines pooled it, 455 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. 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
  4. Are whole-exome and whole-genome sequencing approaches cost-effective? A systematic review of the literature.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Pooled it
  5. Guideline
  6. Trial
  7. 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
  8. Trial
  9. Trial
  10. Article
  11. Article
  12. Article
  13. Article
  14. An accurate cellular assay to determine pathogenicity of coding and noncoding variants in Lynch syndrome genes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

28 authors at 4 institutions in 1 country.

Frederick E DeweyStanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized.
Megan E GroveStanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized.
Cuiping PanStanford Center for Genomics and Personalized Medicine, Stanford, California5Department of Genetics, Stanford University, Stanford, California.
Benjamin A GoldsteinDepartment of Medicine, Stanford University, Stanford, California.
Jonathan A BernsteinDepartment of Pediatrics, Stanford University, Stanford, California.
Hassan ChaibStanford Center for Genomics and Personalized Medicine, Stanford, California5Department of Genetics, Stanford University, Stanford, California.
Jason D MerkerDepartment of Pathology, Stanford University, Stanford, California.
Rachel L GoldfederBiomedical Informatics Training Program, Stanford University, Stanford, California.
Gregory M EnnsDepartment of Pediatrics, Stanford University, Stanford, California.
Sean P DavidDepartment of Medicine, Stanford University, Stanford, California.
Neda PakdamanDepartment of Medicine, Stanford University, Stanford, California.
Kelly E OrmondDepartment of Genetics, Stanford University, Stanford, California10Stanford Center for Biomedical Ethics, Stanford, California.
Colleen CaleshuStanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California7Department of Pediatrics, Stanford University.
Kerry KinghamDivision of Medical Oncology, Stanford University, Stanford, California.
Teri E KleinDepartment of Genetics, Stanford University, Stanford, California.
Michelle Whirl-CarrilloDepartment of Genetics, Stanford University, Stanford, California.
Kenneth SakamotoDivision of Cardiovascular Medicine, Stanford University, Stanford, California6Department of Medicine, Stanford University, Stanford, California.
Matthew T WheelerStanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized.
Atul J ButteDepartment of Pediatrics, Stanford University, Stanford, California12Division of Systems Medicine, Stanford University, Stanford, California.
James M FordDivision of Medical Oncology, Stanford University, Stanford, California.
Linda BoxerDepartment of Medicine, Stanford University, Stanford, California.
John P A IoannidisDepartment of Medicine, Stanford University, Stanford, California12Division of Systems Medicine, Stanford University, Stanford, California14Stanford Prevention Research Center, Stanford, California15Department of Health Research and Policy, Stanford Unive.
Alan C YeungStanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California.
Russ B AltmanDepartment of Genetics, Stanford University, Stanford, California6Department of Medicine, Stanford University, Stanford, California16Department of Bioengineering, Stanford University, Stanford, California.
Themistocles L AssimesStanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California.
Michael SnyderStanford Cardiovascular Institute, Stanford, California4Stanford Center for Genomics and Personalized Medicine, Stanford, California5Department of Genetics, Stanford University, Stanford, California.
Euan A AshleyStanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized.
Thomas QuertermousStanford Center for Inherited Cardiovascular Disease, Stanford, California2Stanford Cardiovascular Institute, Stanford, California3Division of Cardiovascular Medicine, Stanford University, Stanford, California4Stanford Center for Genomics and Personalized.
Stanford University · USCardiovascular Institute of the South · USStanford Medicine · USStanford Health Care · US

Funding

POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
PharmGKB: pharmacogenomics knowledge for precision medicineR24GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO, KLEIN, TERI ELLEN · 2010 to 2018
$25.2M
Clinically Relevant Genome Variation DatabaseU01HG007436 · NHGRI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, PLON, SHARON E. · 2013 to 2016
$10.5M
Center for Integration of Research on Genetics and EthicsP50HG003389 · NHGRI · STANFORD UNIVERSITY · PI CHO, MILDRED K. · 2004 to 2014
$9.9M
Global Identification of Transcription Factor Binding Sites in C. elegansU01HG004267 · NHGRI · YALE UNIVERSITY · PI SNYDER, MICHAEL P. · 2007 to 2011
$8.1M
Human Induced Pluripotent Stem Cells for Cardiovascular Disease ModelingR01HL113006 · NHLBI · STANFORD UNIVERSITY · PI WU, JOSEPH C. · 2012 to 2025
$6.8M
Training in Myocardial Biology at Stanford (TIMBS)T32HL094274 · NHLBI · STANFORD UNIVERSITY · PI Euan A Ashley, Daniel Bernstein · 2010 to 2026
$5.0M
Whole Genome Association for Early Coronary Artery Disease and Related PhenotypesR01HL087647 · NHLBI · STANFORD UNIVERSITY · PI QUERTERMOUS, THOMAS · 2006 to 2008
$4.6M
Repositioning drugs for the treatment of small cell lung cancerR01GM079719 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BUTTE, ATUL J · 2006 to 2015
$4.4M
Understanding and predicting cardiac events in HD using real-time EHRsK25DK097279 · NIDDK · STANFORD UNIVERSITY · PI GOLDSTEIN, BENJAMIN ALAN · 2013 to 2017
$797k
NHGRI NIH HHS P50 HG003389NHGRI NIH HHS P50 HG003389-05NHGRI NIH HHS U01 HG004267NHGRI NIH HHS U01 HG004267-03NHGRI NIH HHS U01 HG007436NHLBI NIH HHS HL094274NHLBI NIH HHS R01 HL087647NHLBI NIH HHS R01 HL113006NHLBI NIH HHS T32 HL094274NHLBI NIH HHS T32 HL094274-01A2NHLBI NIH HHS X01 HL115206NIDDK NIH HHS K25 DK097279NIGMS NIH HHS R01 GM079719NIGMS NIH HHS R01 GM079719 9NIGMS NIH HHS R24 GM061374NIGMS NIH HHS R24 GM61374NIH HHS DP2 OD004613NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

importanceWhole-genome sequencing (WGS) is increasingly applied in clinical medicine and is expected to uncover clinically significant findings regardless of sequencing indication.

objectivesTo examine coverage and concordance of clinically relevant genetic variation provided by WGS technologies; to quantitate inherited disease risk and pharmacogenomic findings in WGS data and resources required for their discovery and interpretation; and to evaluate clinical action prompted by WGS findings. DESIGN, SETTING, AND

participantsAn exploratory study of 12 adult participants recruited at Stanford University Medical Center who underwent WGS between November 2011 and March 2012. A multidisciplinary team reviewed all potentially reportable genetic findings. Five physicians proposed initial clinical follow-up based on the genetic findings. MAIN OUTCOMES AND MEASURES: Genome coverage and sequencing platform concordance in different categories of genetic disease risk, person-hours spent curating candidate disease-risk variants, interpretation agreement between trained curators and disease genetics databases, burden of inherited disease risk and pharmacogenomic findings, and burden and interrater agreement of proposed clinical follow-up.

resultsDepending on sequencing platform, 10% to 19% of inherited disease genes were not covered to accepted standards for single nucleotide variant discovery. Genotype concordance was high for previously described single nucleotide genetic variants (99%-100%) but low for small insertion/deletion variants (53%-59%). Curation of 90 to 127 genetic variants in each participant required a median of 54 minutes (range, 5-223 minutes) per genetic variant, resulted in moderate classification agreement between professionals (Gross κ, 0.52; 95% CI, 0.40-0.64), and reclassified 69% of genetic variants cataloged as disease causing in mutation databases to variants of uncertain or lesser significance. Two to 6 personal disease-risk findings were discovered in each participant, including 1 frameshift deletion in the BRCA1 gene implicated in hereditary breast and ovarian cancer. Physician review of sequencing findings prompted consideration of a median of 1 to 3 initial diagnostic tests and referrals per participant, with fair interrater agreement about the suitability of WGS findings for clinical follow-up (Fleiss κ, 0.24; P < 001). CONCLUSIONS AND RELEVANCE: In this exploratory study of 12 volunteer adults, the use of WGS was associated with incomplete coverage of inherited disease genes, low reproducibility of detection of genetic variation with the highest potential clinical effects, and uncertainty about clinically reportable findings. In certain cases, WGS will identify clinically actionable genetic variants warranting early medical intervention. These issues should be considered when determining the role of WGS in clinical medicine.

Indexed as

MutationPharmacogeneticsAdultAgedAged, 80 and overFemaleGenes, BRCA1Genetic Predisposition to DiseaseGenetic VariationGenome, HumanGenotypeHumansMaleMiddle AgedReproducibility of ResultsSequence Analysis, DNA

Identifiers

PMID24618965
PMCPMC4119063
OpenAlexW1996641286

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.