Genetic correlations of polygenic disease traits: from theory to practice

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

Research output: Contribution to journalReview article

5 Citations (Scopus)

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.

LanguageEnglish
Pages567-581
Number of pages15
JournalNature Reviews Genetics
Volume20
Issue number10
DOIs
Publication statusPublished - 1 Oct 2019
Externally publishedYes

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Genetics(clinical)

Cite this

van Rheenen, Wouter ; Peyrot, Wouter J. ; Schork, Andrew J. ; Lee, Hong ; Wray, Naomi R. / Genetic correlations of polygenic disease traits : from theory to practice. In: Nature Reviews Genetics. 2019 ; Vol. 20, No. 10. pp. 567-581.
@article{708ba74b416346549e134f131099b03b,
title = "Genetic correlations of polygenic disease traits: from theory to practice",
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.",
author = "{van Rheenen}, Wouter and Peyrot, {Wouter J.} and Schork, {Andrew J.} and Hong Lee and Wray, {Naomi R.}",
year = "2019",
month = "10",
day = "1",
doi = "10.1038/s41576-019-0137-z",
language = "English",
volume = "20",
pages = "567--581",
journal = "Nature Reviews Genetics",
issn = "1471-0056",
publisher = "Nature Publishing Group",
number = "10",

}

Genetic correlations of polygenic disease traits : from theory to practice. / van Rheenen, Wouter; Peyrot, Wouter J.; Schork, Andrew J.; Lee, Hong; Wray, Naomi R.

In: Nature Reviews Genetics, Vol. 20, No. 10, 01.10.2019, p. 567-581.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Genetic correlations of polygenic disease traits

T2 - Nature Reviews Genetics

AU - van Rheenen, Wouter

AU - Peyrot, Wouter J.

AU - Schork, Andrew J.

AU - Lee, Hong

AU - Wray, Naomi R.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85067010065&partnerID=8YFLogxK

U2 - 10.1038/s41576-019-0137-z

DO - 10.1038/s41576-019-0137-z

M3 - Review article

VL - 20

SP - 567

EP - 581

JO - Nature Reviews Genetics

JF - Nature Reviews Genetics

SN - 1471-0056

IS - 10

ER -