Evidence map›Paper›PMID 20435227›Full record

ArticleLancet (London, England)2010

Clinical assessment incorporating a personal genome.

Euan A Ashley, Atul J Butte, Matthew T Wheeler, Rong Chen, Teri E Klein, Frederick E Dewey, Joel T Dudley, Kelly E Ormond, Aleksandra Pavlovic, Alexander A Morgan and 21 more

Open access · greenAbstract read
In one paragraph

Article in Lancet (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 317 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
317citing papers in PubMed, 5 pooled it
75.2field-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.

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

317 citing papers in PubMed, 5 syntheses or guidelines pooled it, 676 citations in OpenAlex.

  1. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
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  16. Multi-arm covariate-adaptive randomization.Science China. Mathematics · 2023
    Article
  17. Article
  18. Different perspectives on translational genomics in personalized medicineJournal of the Turkish German Gynecological Association · 2022
    Article
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  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors at 4 institutions in 1 country.

Euan A AshleyCenter for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA. euan@stanford.edu
Atul J Butte
Matthew T Wheeler
Rong Chen
Teri E Klein
Frederick E Dewey
Joel T Dudley
Kelly E Ormond
Aleksandra Pavlovic
Alexander A Morgan
Dmitry Pushkarev
Norma F Neff
Louanne Hudgins
Li Gong
Laura M Hodges
Dorit S Berlin
Caroline F Thorn
Katrin Sangkuhl
Joan M Hebert
Mark Woon
Hersh Sagreiya
Ryan Whaley
Joshua W Knowles
Michael F Chou
Joseph V Thakuria
Abraham M Rosenbaum
Alexander Wait Zaranek
George M Church
Henry T Greely
Stephen R Quake
Russ B Altman
Stanford University · USHarvard University · USMassachusetts General Hospital · USStanford Medicine · 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
THE STANFORD PHARMACOGENETICS KNOWLEDGE BASEU01GM061374 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2000 to 2009
$24.0M
Center for Integration of Research on Genetics and EthicsP50HG003389 · NHGRI · STANFORD UNIVERSITY · PI CHO, MILDRED K. · 2004 to 2014
$9.9M
Training in Myocardial Biology at Stanford (TIMBS)T32HL094274 · NHLBI · STANFORD UNIVERSITY · PI Euan A Ashley, Daniel Bernstein · 2010 to 2026
$5.0M
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
Nanoscale approaches to allelic silencing in myocardial disease statesDP2OD006511 · OD · STANFORD UNIVERSITY · PI ASHLEY, EUAN A · 2009 to 2009
$2.4M
Integrating Microarray and Proteomic Data by Ontology-based AnnotationR01LM009719 · NLM · STANFORD UNIVERSITY · PI BUTTE, ATUL J · 2008 to 2011
$1.1M
Integrative Cardiovascular Biology of Apelin-APJK08HL083914 · NHLBI · STANFORD UNIVERSITY · PI ASHLEY, EUAN A · 2006 to 2010
$664k
Effect of Cholesterol Anabolism on Network Signaling in Cardiac HypertrophyF32HL097462 · NHLBI · STANFORD UNIVERSITY · PI WHEELER, MATTHEW THOMAS · 2009 to 2009
$57k
Howard Hughes Medical InstituteNHGRI NIH HHS HG003389NHGRI NIH HHS P50 HG003389NHLBI NIH HHS F32 HL097462NHLBI NIH HHS F32HL097462NHLBI NIH HHS K08 HL083914NHLBI NIH HHS T32 HL094274NIGMS NIH HHS GM079719NIGMS NIH HHS GM61374NIGMS NIH HHS R01 GM079719NIGMS NIH HHS R24 GM061374NIGMS NIH HHS U01 GM061374NIH HHS DP2 OD006511NLM NIH HHS LM007033NLM NIH HHS LM009719NLM NIH HHS R01 LM009719NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

backgroundThe cost of genomic information has fallen steeply, but the clinical translation of genetic risk estimates remains unclear. We aimed to undertake an integrated analysis of a complete human genome in a clinical context.

methodsWe assessed a patient with a family history of vascular disease and early sudden death. Clinical assessment included analysis of this patient's full genome sequence, risk prediction for coronary artery disease, screening for causes of sudden cardiac death, and genetic counselling. Genetic analysis included the development of novel methods for the integration of whole genome and clinical risk. Disease and risk analysis focused on prediction of genetic risk of variants associated with mendelian disease, recognised drug responses, and pathogenicity for novel variants. We queried disease-specific mutation databases and pharmacogenomics databases to identify genes and mutations with known associations with disease and drug response. We estimated post-test probabilities of disease by applying likelihood ratios derived from integration of multiple common variants to age-appropriate and sex-appropriate pre-test probabilities. We also accounted for gene-environment interactions and conditionally dependent risks.

findingsAnalysis of 2.6 million single nucleotide polymorphisms and 752 copy number variations showed increased genetic risk for myocardial infarction, type 2 diabetes, and some cancers. We discovered rare variants in three genes that are clinically associated with sudden cardiac death-TMEM43, DSP, and MYBPC3. A variant in LPA was consistent with a family history of coronary artery disease. The patient had a heterozygous null mutation in CYP2C19 suggesting probable clopidogrel resistance, several variants associated with a positive response to lipid-lowering therapy, and variants in CYP4F2 and VKORC1 that suggest he might have a low initial dosing requirement for warfarin. Many variants of uncertain importance were reported.

interpretationAlthough challenges remain, our results suggest that whole-genome sequencing can yield useful and clinically relevant information for individual patients.

fundingNational Institute of General Medical Sciences; National Heart, Lung And Blood Institute; National Human Genome Research Institute; Howard Hughes Medical Institute; National Library of Medicine, Lucile Packard Foundation for Children's Health; Hewlett Packard Foundation; Breetwor Family Foundation.

Indexed as

Genetic TestingGenome, HumanSequence Analysis, DNAAdultAryl Hydrocarbon HydroxylasesCarrier ProteinsCytochrome P-450 CYP2C19Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4Death, Sudden, CardiacDesmoplakinsEnvironmentFamily HealthGenetic CounselingGenetic Predisposition to DiseaseHumansAryl Hydrocarbon HydroxylasesCarrier ProteinsCYP2C19 protein, humanCYP4F2 protein, humanCytochrome P-450 CYP2C19Cytochrome P-450 Enzyme SystemCytochrome P450 Family 4DesmoplakinsDSP protein, humanLipoprotein(a)Membrane ProteinsMixed Function OxygenasesMyosin Binding Protein CTMEM43 protein, humanVitamin K Epoxide ReductasesVKORC1 protein, human

Identifiers

PMID20435227
PMCPMC2937184
OpenAlexW2103184242

What OpenQuestion holds

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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.