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...
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2018-03-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-017-02769-6 |
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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 |
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