Evidence map›Paper›PMID 27061411›Full record

ReviewGenetic epidemiology2016

Polygenic Epidemiology.

Frank Dudbridge

Registry-linked trialAbstract readReview
In one paragraph

Review in Genetic epidemiology, 2016. 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 91 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 4 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.

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

91 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Family Genetic-Risk Profiles Associated With Divorce.Clinical psychological science : a journal of the Association for Psychological Science · 2024
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  18. Review
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31 more citing papers are in PubMed but not listed here.

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

1 author.

Frank DudbridgeDepartment of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, United Kingdom.

Funding

Medical Research Council MR/K006215/1Medical Research Council MR/M026175/1
6 · The paper itself

Abstract

Much of the genetic basis of complex traits is present on current genotyping products, but the individual variants that affect the traits have largely not been identified. Several traditional problems in genetic epidemiology have recently been addressed by assuming a polygenic basis for disease and treating it as a single entity. Here I briefly review some of these applications, which collectively may be termed polygenic epidemiology. Methodologies in this area include polygenic scoring, linear mixed models, and linkage disequilibrium scoring. They have been used to establish a polygenic effect, estimate genetic correlation between traits, estimate how many variants affect a trait, stratify cases into subphenotypes, predict individual disease risks, and infer causal effects using Mendelian randomization. Polygenic epidemiology will continue to yield useful applications even while much of the specific variation underlying complex traits remains undiscovered.

Indexed as

Genetic Predisposition to DiseaseGenotypeHumansLinear ModelsLinkage DisequilibriumModels, GeneticMolecular EpidemiologyMultifactorial InheritancePhenotypegenetic correlationgenetic risk predictionMendelian randomizationmissing heritability

Identifiers

PMID27061411
PMCPMC4982028

What OpenQuestion holds

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LicenceCC BY
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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.