Evidence map›Paper›PMID 25341114›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2015

Summarizing polygenic risks for complex diseases in a clinical whole-genome report.

Sek Won Kong, In-Hee Lee, Ignaty Leshchiner, Joel Krier, Peter Kraft, Heidi L Rehm, Robert C Green, Isaac S Kohane, Calum A MacRae, MedSeq Project

Registry-linked trialAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331535 (Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care), which is not on this map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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.

NCT04331535 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care

TypeinterventionalSponsorBoston VA Research Institute, Inc.Ran2020 to 2025Enrolled1,076ConditionsCoronary Artery Disease, Atrial Fibrillation, Type 2 Diabetes, Colorectal CancerArmsPolygenic risk score (PRS)
3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. 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
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  6. Review
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  9. Cost Analyses of Genomic Sequencing: Lessons Learned from the MedSeq Project.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2018
    Article
  10. Review
  11. Article
  12. Article
  13. The landscape of genetic susceptibility correlations among diseases and traits.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  14. Article
  15. Genetic Approaches to Understanding Psychiatric Disease.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2017
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

10 authors.

Sek Won Kong1] Children's Hospital Informatics Program, Department of Medicine, Boston Children's Hospital, Boston, Massachusetts, USA [2] Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000000348777567
In-Hee Lee1] Children's Hospital Informatics Program, Department of Medicine, Boston Children's Hospital, Boston, Massachusetts, USA [2] Harvard Medical School, Boston, Massachusetts, USA.
Ignaty Leshchiner1] Harvard Medical School, Boston, Massachusetts, USA [2] Genetics Division, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID 0000000189429265
Joel Krier1] Harvard Medical School, Boston, Massachusetts, USA [2] Genetics Division, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Peter Kraft1] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA [2] Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts, USA.ORCID 0000000179813618
Heidi L Rehm1] Harvard Medical School, Boston, Massachusetts, USA [2] Laboratory for Molecular Medicine, Partners Personalized Medicine, Cambridge, Massachusetts, USA [3] Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Robert C Green1] Harvard Medical School, Boston, Massachusetts, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Isaac S Kohane1] Children's Hospital Informatics Program, Department of Medicine, Boston Children's Hospital, Boston, Massachusetts, USA [2] Harvard Medical School, Boston, Massachusetts, USA.
Calum A MacRae1] Harvard Medical School, Boston, Massachusetts, USA [2] Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA [3] Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA.
MedSeq Project

Funding

Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
TRAINING GRANT IN GENETICST32GM007748 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI Anne O'Donnell-Luria, Louise Wilkins-Haug · 1985 to 2026
$12.0M
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Genome Sequence-Based Screening for Childhood Risk and Newborn IllnessU19HD077671 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BEGGS, ALAN H., GREEN, ROBERT C. · 2013 to 2018
$6.1M
Impact of Direct to Consumer Genetic TestingR01HG005092 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C., ROBERTS, SCOTT · 2010 to 2012
$1.1M
Returning research results in children: Parental Preferences and Expert OversightR01HG006615 · NHGRI · BOSTON CHILDREN'S HOSPITAL · PI HOLM, INGRID ADELE · 2011 to 2013
$361k
NHGRI NIH HHS HG005092NHGRI NIH HHS HG006615NHGRI NIH HHS HG006834NHGRI NIH HHS R01 HG005092NHGRI NIH HHS R01 HG006615NHGRI NIH HHS U01 HG006500NHGRI NIH HHS U01-HG006500NHGRI NIH HHS U41 HG006834NICHD NIH HHS HD077671NICHD NIH HHS U19 HD077671NIGMS NIH HHS T32 GM007748
6 · The paper itself

Abstract

purposeDisease-causing mutations and pharmacogenomic variants are of primary interest for clinical whole-genome sequencing. However, estimating genetic liability for common complex diseases using established risk alleles might one day prove clinically useful.

methodsWe compared polygenic scoring methods using a case-control data set with independently discovered risk alleles in the MedSeq Project. For eight traits of clinical relevance in both the primary-care and cardiomyopathy study cohorts, we estimated multiplicative polygenic risk scores using 161 published risk alleles and then normalized them using the population median estimated from the 1000 Genomes Project.

resultsOur polygenic score approach identified the overrepresentation of independently discovered risk alleles in cases as compared with controls using a large-scale genome-wide association study data set. In addition to normalized multiplicative polygenic risk scores and rank in a population, the disease prevalence and proportion of heritability explained by known common risk variants provide important context in the interpretation of modern multilocus disease risk models.

conclusionOur approach in the MedSeq Project demonstrates how complex trait risk variants from an individual genome can be summarized and reported for the general clinician and also highlights the need for definitive clinical studies to obtain reference data for such estimates and to establish clinical utility.

Indexed as

Genome, HumanAllelesCardiomyopathiesCase-Control StudiesGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansMultifactorial InheritanceReproducibility of Results

Identifiers

PMID25341114
PMCPMC4547452

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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.