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Multi-trait analysis of genome-wide association summary statistics using MTAG
We introduce Multi-Trait Analysis of GWAS (MTAG), a method for joint analysis of summary statistics from GWASs of different traits, possibly from overlapping samples. We apply MTAG to summary statistics for depressive symptoms (N(eff) = 354,862), neuroticism (N = 168,105), and subjective well-being...
| Autores principales: | , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805593/ https://www.ncbi.nlm.nih.gov/pubmed/29292387 http://dx.doi.org/10.1038/s41588-017-0009-4 |
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| author | Turley, Patrick Walters, Raymond K. Maghzian, Omeed Okbay, Aysu Lee, James J. Fontana, Mark Alan Nguyen-Viet, Tuan Anh Wedow, Robbee Zacher, Meghan Furlotte, Nicholas A. Magnusson, Patrik Oskarsson, Sven Johannesson, Magnus Visscher, Peter M. Laibson, David Cesarini, David Neale, Benjamin M. Benjamin, Daniel J. |
| author_facet | Turley, Patrick Walters, Raymond K. Maghzian, Omeed Okbay, Aysu Lee, James J. Fontana, Mark Alan Nguyen-Viet, Tuan Anh Wedow, Robbee Zacher, Meghan Furlotte, Nicholas A. Magnusson, Patrik Oskarsson, Sven Johannesson, Magnus Visscher, Peter M. Laibson, David Cesarini, David Neale, Benjamin M. Benjamin, Daniel J. |
| author_sort | Turley, Patrick |
| collection | PubMed |
| description | We introduce Multi-Trait Analysis of GWAS (MTAG), a method for joint analysis of summary statistics from GWASs of different traits, possibly from overlapping samples. We apply MTAG to summary statistics for depressive symptoms (N(eff) = 354,862), neuroticism (N = 168,105), and subjective well-being (N = 388,538). Compared to 32, 9, and 13 genome-wide significant loci in the single-trait GWASs (most of which are themselves novel), MTAG increases the number of loci to 64, 37, and 49, respectively. Moreover, association statistics from MTAG yield more informative bioinformatics analyses and increase variance explained by polygenic scores by approximately 25%, matching theoretical expectations. |
| format | Online Article Text |
| id | pubmed-5805593 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2018 |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-58055932018-07-01 Multi-trait analysis of genome-wide association summary statistics using MTAG Turley, Patrick Walters, Raymond K. Maghzian, Omeed Okbay, Aysu Lee, James J. Fontana, Mark Alan Nguyen-Viet, Tuan Anh Wedow, Robbee Zacher, Meghan Furlotte, Nicholas A. Magnusson, Patrik Oskarsson, Sven Johannesson, Magnus Visscher, Peter M. Laibson, David Cesarini, David Neale, Benjamin M. Benjamin, Daniel J. Nat Genet Article We introduce Multi-Trait Analysis of GWAS (MTAG), a method for joint analysis of summary statistics from GWASs of different traits, possibly from overlapping samples. We apply MTAG to summary statistics for depressive symptoms (N(eff) = 354,862), neuroticism (N = 168,105), and subjective well-being (N = 388,538). Compared to 32, 9, and 13 genome-wide significant loci in the single-trait GWASs (most of which are themselves novel), MTAG increases the number of loci to 64, 37, and 49, respectively. Moreover, association statistics from MTAG yield more informative bioinformatics analyses and increase variance explained by polygenic scores by approximately 25%, matching theoretical expectations. 2018-01-01 2018-02 /pmc/articles/PMC5805593/ /pubmed/29292387 http://dx.doi.org/10.1038/s41588-017-0009-4 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
| spellingShingle | Article Turley, Patrick Walters, Raymond K. Maghzian, Omeed Okbay, Aysu Lee, James J. Fontana, Mark Alan Nguyen-Viet, Tuan Anh Wedow, Robbee Zacher, Meghan Furlotte, Nicholas A. Magnusson, Patrik Oskarsson, Sven Johannesson, Magnus Visscher, Peter M. Laibson, David Cesarini, David Neale, Benjamin M. Benjamin, Daniel J. Multi-trait analysis of genome-wide association summary statistics using MTAG |
| title | Multi-trait analysis of genome-wide association summary statistics using MTAG |
| title_full | Multi-trait analysis of genome-wide association summary statistics using MTAG |
| title_fullStr | Multi-trait analysis of genome-wide association summary statistics using MTAG |
| title_full_unstemmed | Multi-trait analysis of genome-wide association summary statistics using MTAG |
| title_short | Multi-trait analysis of genome-wide association summary statistics using MTAG |
| title_sort | multi-trait analysis of genome-wide association summary statistics using mtag |
| topic | Article |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5805593/ https://www.ncbi.nlm.nih.gov/pubmed/29292387 http://dx.doi.org/10.1038/s41588-017-0009-4 |
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