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Activity Number: 217 - Studying Psychiatric Disorders Using Statistical and Machine Learning Methods
Type: Invited
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Mental Health Statistics Section
Abstract #326961 Presentation
Title: Statistical Challenges and Opportunities for Analysis of Massive Biobank Data
Author(s): Xihong Lin*
Companies: Harvard University
Keywords: Whole Genome Sequencing; psychiatric disease/trait

Massive biobank data are rapidly available, such as the recently available UK Biobank data, which provide data of 500,000 subjects on massive genotypes, demographics, risk factors, prescriptions, a large number of lab results, traits and disease phenotypes from ICD9 code. We discuss in this talk challenges and opportunities for analysis of massive biobank data, eg, inference for massive data, integrative analysis using summary statistics, pleiotropy, and causal inference for understanding biological pathways.

Authors who are presenting talks have a * after their name.

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