Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric disea...

Full description

Bibliographic Details
Main Authors:	Robert M. Maier, Zhihong Zhu, Sang Hong Lee, Maciej Trzaskowski, Douglas M. Ruderfer, Eli A. Stahl, Stephan Ripke, Naomi R. Wray, Jian Yang, Peter M. Visscher, Matthew R. Robinson
Format:	Article
Language:	English
Published:	Nature Publishing Group 2018-03-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-017-02769-6

id	doaj-e824d72f5f234577ab684601d5afb26b
record_format	Article
spelling	doaj-e824d72f5f234577ab684601d5afb26b2021-05-11T10:15:55ZengNature Publishing GroupNature Communications2041-17232018-03-019111710.1038/s41467-017-02769-6Improving genetic prediction by leveraging genetic correlations among human diseases and traitsRobert M. Maier0Zhihong Zhu1Sang Hong Lee2Maciej Trzaskowski3Douglas M. Ruderfer4Eli A. Stahl5Stephan Ripke6Naomi R. Wray7Jian Yang8Peter M. Visscher9Matthew R. Robinson10Queensland Brain Institute, University of QueenslandInstitute for Molecular Bioscience, University of QueenslandQueensland Brain Institute, University of QueenslandInstitute for Molecular Bioscience, University of QueenslandDivision of Genetic Medicine, Department of Medicine, Psychiatry and Biomedical Informatics, Vanderbilt Genetics Institute, Vanderbilt University Medical CenterInstitute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount SinaiStanley Center for Psychiatric Research, Broad InstituteQueensland Brain Institute, University of QueenslandQueensland Brain Institute, University of QueenslandQueensland Brain Institute, University of QueenslandInstitute for Molecular Bioscience, University of QueenslandGenetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.https://doi.org/10.1038/s41467-017-02769-6
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Robert M. Maier Zhihong Zhu Sang Hong Lee Maciej Trzaskowski Douglas M. Ruderfer Eli A. Stahl Stephan Ripke Naomi R. Wray Jian Yang Peter M. Visscher Matthew R. Robinson
spellingShingle	Robert M. Maier Zhihong Zhu Sang Hong Lee Maciej Trzaskowski Douglas M. Ruderfer Eli A. Stahl Stephan Ripke Naomi R. Wray Jian Yang Peter M. Visscher Matthew R. Robinson Improving genetic prediction by leveraging genetic correlations among human diseases and traits Nature Communications
author_facet	Robert M. Maier Zhihong Zhu Sang Hong Lee Maciej Trzaskowski Douglas M. Ruderfer Eli A. Stahl Stephan Ripke Naomi R. Wray Jian Yang Peter M. Visscher Matthew R. Robinson
author_sort	Robert M. Maier
title	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_short	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_full	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_fullStr	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_full_unstemmed	Improving genetic prediction by leveraging genetic correlations among human diseases and traits
title_sort	improving genetic prediction by leveraging genetic correlations among human diseases and traits
publisher	Nature Publishing Group
series	Nature Communications
issn	2041-1723
publishDate	2018-03-01
description	Genetic prediction of complex traits so far has limited accuracy because of insufficient understanding of the genetic risk. Here, Maier et al. develop an improved method for trait prediction that makes use of genetic correlations between traits and apply it to summary statistics of psychiatric diseases.
url	https://doi.org/10.1038/s41467-017-02769-6
work_keys_str_mv	AT robertmmaier improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT zhihongzhu improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT sanghonglee improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT maciejtrzaskowski improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT douglasmruderfer improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT eliastahl improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT stephanripke improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT naomirwray improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT jianyang improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT petermvisscher improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits AT matthewrrobinson improvinggeneticpredictionbyleveraginggeneticcorrelationsamonghumandiseasesandtraits
_version_	1721448562171052032

Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Similar Items