|
Activity Number:
|
218
- Statistical Advances in the Design and Analysis of Sequence-Based Genetic Association Studies
|
|
Type:
|
Invited
|
|
Date/Time:
|
Monday, July 30, 2018 : 2:00 PM to 3:50 PM
|
|
Sponsor:
|
Section on Statistics in Genomics and Genetics
|
|
Abstract #326885
|
Presentation
|
|
Title:
|
Statistical Issues in the Design and Analysis of Sequencing Studies
|
|
Author(s):
|
Danyu Lin*
|
|
Companies:
|
University of North Carolina
|
|
Keywords:
|
Data integration; Genetic association; Multiple genomics platforms; Two-stage designs; Whole-genome sequencing; Trans-omics studies
|
|
Abstract:
|
Recent technological advances have made it possible to collect DNA sequencing data and other omics data in the study of complex diseases and traits. However, it is still very costly to obtain such data on a large number of subjects. In this talk, I will discuss optimal study designs when only a subset of subjects can be selected for genomic measurements. I will also discuss the corresponding analysis issues, particularly when there are different levels of missing data in multiple genomics platforms.
|
Authors who are presenting talks have a * after their name.
