Challenges in Biobank-scale Brain Imaging Genetics
Wednesday, August 04 at 3:00 pm
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4:00 pm
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2021-08-04 22:00:00
2021-08-04 23:00:00
Challenges in Biobank-scale Brain Imaging Genetics
Department of Epidemiology & Biostatistics, Bioinformatics Presents:
Speaker: Hongtu Zhu, PhD, Professor of Biostatistics, University of North Carolina
Dr. Zhu will describe the largest genetic studies to date for various neuroimaging traits from different structural and functional modalities. He will showcase novel clinical findings from these large-scale analyses, such as the shared genetic influences among brain structures, functions, and a wide spectrum of clinical outcomes. The research has established genetic mappings from hundreds of anatomical brain regions onto their corresponding functional connectivities, and further onto complex mental disorders, which may transverse our current understanding of the disease emergence and development. Finally, he will discuss methodological challenges faced when processing these biobank-scale datasets and highlight opportunities to utilize the learned knowledges in downstream analyses for disease predictions and pathway analyses.
Department Of Epidemiology & Biostatistics
Fei.Jiang@ucsf.edu
America/Los_Angeles
public
Department of Epidemiology & Biostatistics, Bioinformatics Presents:
Speaker: Hongtu Zhu, PhD, Professor of Biostatistics, University of North Carolina
Dr. Zhu will describe the largest genetic studies to date for various neuroimaging traits from different structural and functional modalities. He will showcase novel clinical findings from these large-scale analyses, such as the shared genetic influences among brain structures, functions, and a wide spectrum of clinical outcomes. The research has established genetic mappings from hundreds of anatomical brain regions onto their corresponding functional connectivities, and further onto complex mental disorders, which may transverse our current understanding of the disease emergence and development. Finally, he will discuss methodological challenges faced when processing these biobank-scale datasets and highlight opportunities to utilize the learned knowledges in downstream analyses for disease predictions and pathway analyses.
Brain Imaging
Methodological Challenges