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Innovative methods for investigating the genetic architecture of complex human traits
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Genome-wide TWAS of brain and blood tissues identifies novel risk genes for Alzheimer’s disease dementia
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Integrate Proteomics Data with GWAS Summary data for Studying Alzheimer’s Disease by Nonparametric Bayesian Method
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TIGAR-V2 with nonparametric Bayesian eQTL weights estimated from GTEx V8 & Leveraging multiple reference panels to improve TWAS power by ensemble machine learning
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Powerful variance-component method for TWAS identifies novel and known risk genes for Alzheimer’s dementia
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Development of Statistical Tool TIGAR for Transcriptome-Integrated Genetic Association Resource
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