Ontology highlight
ABSTRACT:
SUBMITTER: Zhou D
PROVIDER: S-EPMC7606598 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Zhou Dan D Jiang Yi Y Zhong Xue X Cox Nancy J NJ Liu Chunyu C Gamazon Eric R ER
Nature genetics 20201005 11
Here, we present a joint-tissue imputation (JTI) approach and a Mendelian randomization framework for causal inference, MR-JTI. JTI borrows information across transcriptomes of different tissues, leveraging shared genetic regulation, to improve prediction performance in a tissue-dependent manner. Notably, JTI includes the single-tissue imputation method PrediXcan as a special case and outperforms other single-tissue approaches (the Bayesian sparse linear mixed model and Dirichlet process regress ...[more]