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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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Investigating genetic associations using power-optimizing analytic approaches
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Investigating rare genetic disorders to gain insight into human biology
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Maximizing the ability to detect modifying genetic factors of rare complex disorders – Fragile X-Associated Primary Ovarian Insufficiency and Down Syndrome - Congenital Heart Defects
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Powerful variance-component method for TWAS identifies novel and known risk genes for Alzheimer’s dementia
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Epigenetic Determinants of Endocrine-Related Health Outcomes Following Exposure to Polybrominated Biphenyl (PBB)
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