Evidence map›Paper›PMID 31171865›Full record

ReviewNature reviews. Genetics2019

Genetic correlations of polygenic disease traits: from theory to practice.

Wouter van Rheenen, Wouter J Peyrot, Andrew J Schork, S Hong Lee, Naomi R Wray

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05515653 (Impact of the Genetic Background as a Risk Factor for Atherosclerotic Cardiovascular Disease in the Brazilian Population), which is not on this map. Cited by 205 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
205citing papers in PubMed, 7 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.

NCT05515653 unknown statusnot on this mapstarted 2022, after this paper: background citation

Impact of the Genetic Background as a Risk Factor for Atherosclerotic Cardiovascular Disease in the Brazilian Population

TypeobservationalSponsorHospital Alemão Oswaldo CruzRan2022 to 2024Enrolled3,974ConditionsCardiovascular Diseases, Acute MI, Stroke, Peripheral Arterial DiseaseArmsExposure to genetics (polygenic)
3 · Its place in the literature

Who cites it

205 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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145 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

5 authors.

Wouter van RheenenDepartment of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands. w.vanrheenen-2@umcutrecht.nl.
Wouter J PeyrotDepartment of Psychiatry, Amsterdam UMC, VU University Medical Center, Amsterdam, Netherlands.
Andrew J SchorkInstitute for Biological Psychiatry, Mental Health Services Snct. Hans, Roskilde, Denmark.
S Hong LeeAustralian Centre for Precision Health, University of South Australia Cancer Research Institute, University of South Australia, Adelaide, South Australia, Australia.
Naomi R WrayInstitute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia. naomi.wray@uq.edu.au.ORCID 0000-0001-7421-3357

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic correlation describes the genetic relationship between two traits and can contribute to a better understanding of the shared biological pathways and/or the causality relationships between them. The rarity of large family cohorts with recorded instances of two traits, particularly disease traits, has made it difficult to estimate genetic correlations using traditional epidemiological approaches. However, advances in genomic methodologies, such as genome-wide association studies, and widespread sharing of data now allow genetic correlations to be estimated for virtually any trait pair. Here, we review the definition, estimation, interpretation and uses of genetic correlations, with a focus on applications to human disease.

Indexed as

DiseaseGenome-Wide Association StudyHumansModels, GeneticMultifactorial InheritancePhenotype

Identifiers

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.