Causal associations between risk factors and common diseases inferred from GWAS summary data
Genetic methods are useful to test whether risk factors are causal for or consequence of disease. Here, Zhu et al. develop a generalized summary-based Mendelian Randomization (GSMR) method which uses summary-level data from GWAS to test for causal associations of health risk factors with common dise...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2018-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-017-02317-2 |
| _version_ | 1818427180783239168 |
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| author | Zhihong Zhu Zhili Zheng Futao Zhang Yang Wu Maciej Trzaskowski Robert Maier Matthew R. Robinson John J. McGrath Peter M. Visscher Naomi R. Wray Jian Yang |
| author_facet | Zhihong Zhu Zhili Zheng Futao Zhang Yang Wu Maciej Trzaskowski Robert Maier Matthew R. Robinson John J. McGrath Peter M. Visscher Naomi R. Wray Jian Yang |
| author_sort | Zhihong Zhu |
| collection | DOAJ |
| description | Genetic methods are useful to test whether risk factors are causal for or consequence of disease. Here, Zhu et al. develop a generalized summary-based Mendelian Randomization (GSMR) method which uses summary-level data from GWAS to test for causal associations of health risk factors with common diseases. |
| first_indexed | 2024-12-14T14:41:38Z |
| format | Article |
| id | doaj.art-490a54832d7e416a8c0c6026b330a06f |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-14T14:41:38Z |
| publishDate | 2018-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-490a54832d7e416a8c0c6026b330a06f2022-12-21T22:57:24ZengNature PortfolioNature Communications2041-17232018-01-019111210.1038/s41467-017-02317-2Causal associations between risk factors and common diseases inferred from GWAS summary dataZhihong Zhu0Zhili Zheng1Futao Zhang2Yang Wu3Maciej Trzaskowski4Robert Maier5Matthew R. Robinson6John J. McGrath7Peter M. Visscher8Naomi R. Wray9Jian Yang10Institute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandQueensland Brain Institute, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandInstitute for Molecular Bioscience, The University of QueenslandGenetic methods are useful to test whether risk factors are causal for or consequence of disease. Here, Zhu et al. develop a generalized summary-based Mendelian Randomization (GSMR) method which uses summary-level data from GWAS to test for causal associations of health risk factors with common diseases.https://doi.org/10.1038/s41467-017-02317-2 |
| spellingShingle | Zhihong Zhu Zhili Zheng Futao Zhang Yang Wu Maciej Trzaskowski Robert Maier Matthew R. Robinson John J. McGrath Peter M. Visscher Naomi R. Wray Jian Yang Causal associations between risk factors and common diseases inferred from GWAS summary data Nature Communications |
| title | Causal associations between risk factors and common diseases inferred from GWAS summary data |
| title_full | Causal associations between risk factors and common diseases inferred from GWAS summary data |
| title_fullStr | Causal associations between risk factors and common diseases inferred from GWAS summary data |
| title_full_unstemmed | Causal associations between risk factors and common diseases inferred from GWAS summary data |
| title_short | Causal associations between risk factors and common diseases inferred from GWAS summary data |
| title_sort | causal associations between risk factors and common diseases inferred from gwas summary data |
| url | https://doi.org/10.1038/s41467-017-02317-2 |
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