Multi-context genetic modeling of transcriptional regulation resolves novel disease loci
Transcriptome-wide association studies (TWAS) often ignore the specificity and sharing of effects across contexts (e.g., tissues). Here, the authors describe a method to split genetic effects into context-shared and context-specific terms. They apply their method to tissue and single-cell RNA-seq an...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-33212-0 |
| Summary: | Transcriptome-wide association studies (TWAS) often ignore the specificity and sharing of effects across contexts (e.g., tissues). Here, the authors describe a method to split genetic effects into context-shared and context-specific terms. They apply their method to tissue and single-cell RNA-seq and show improved power in TWAS. |
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| ISSN: | 2041-1723 |