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Aliza P. Wingo, Emory University
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Integrating human brain transcriptomes and proteomes with genome-wide association data identifies risk genes shared between depression and Alzheimer’s disease
Student Name:
Harerimana, Nadia
Date Uploaded:
04/01/2021
Research Field:
Biology, Bioinformatics, Biology, Genetics, and Biology, Neuroscience
Department:
Biological and Biomedical Sciences
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Year
Spring 2021
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School
Laney Graduate School
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Department
Biological and Biomedical Sciences
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Degree
M.S.
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Submission Type
Master's Thesis
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Biology, Bioinformatics
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Biology, Genetics
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Biology, Neuroscience
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Committee
Aliza P. Wingo, Emory University
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David J. Culter, Emory University
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Karen N. Conneely, Emory University
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Nicholas Seyfried, Emory University
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Thomas S. Wingo, Emory University
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Keyword
Genome-wide association study (GWAS), single nucleotide polymorphism (SNP), Alzheimer's disease (AD), linkage disequilibrium score (LDSC) regression, Mendelian randomization (MR),and quantitative trait loci (QTL)
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