Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects
Mendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects.
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2019-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-09432-2 |
| _version_ | 1818753859522134016 |
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| author | Guanghao Qi Nilanjan Chatterjee |
| author_facet | Guanghao Qi Nilanjan Chatterjee |
| author_sort | Guanghao Qi |
| collection | DOAJ |
| description | Mendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects. |
| first_indexed | 2024-12-18T05:14:03Z |
| format | Article |
| id | doaj.art-9449f88fcee4464bbb5f9b0d5946bae4 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-18T05:14:03Z |
| publishDate | 2019-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-9449f88fcee4464bbb5f9b0d5946bae42022-12-21T21:19:48ZengNature PortfolioNature Communications2041-17232019-04-0110111010.1038/s41467-019-09432-2Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effectsGuanghao Qi0Nilanjan Chatterjee1Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins UniversityDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins UniversityMendelian randomization (MR) is a powerful and widely used method for causal inference leveraging genetic information. Here, the authors develop MRMix, an MR method using mixture models for more robust and efficient estimation of causal effects.https://doi.org/10.1038/s41467-019-09432-2 |
| spellingShingle | Guanghao Qi Nilanjan Chatterjee Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects Nature Communications |
| title | Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects |
| title_full | Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects |
| title_fullStr | Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects |
| title_full_unstemmed | Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects |
| title_short | Mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects |
| title_sort | mendelian randomization analysis using mixture models for robust and efficient estimation of causal effects |
| url | https://doi.org/10.1038/s41467-019-09432-2 |
| work_keys_str_mv | AT guanghaoqi mendelianrandomizationanalysisusingmixturemodelsforrobustandefficientestimationofcausaleffects AT nilanjanchatterjee mendelianrandomizationanalysisusingmixturemodelsforrobustandefficientestimationofcausaleffects |