Online Program Home
My Program

Abstract Details

Activity Number: 593 - Statistical Challenges and New Developments in Genomics
Type: Invited
Date/Time: Thursday, August 1, 2019 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #300530 Presentation
Title: Removing Unwanted Variation Reveals the Impact of Genetic Variation on 3D Genome Structure
Author(s): Kasper Daniel Hansen*
Companies: Johns Hopkins University
Keywords: Epigenomics; Genome Folding; Batch effects; Normalization

How the genome is organized in 3D is a subject of intense interest. The genome-wide assay of choice is Hi-C, which - for technical reasons - is usually performed in cell lines. As such we have little understanding of how 3D genome structure varies between individuals and how genetic variation shapes this variation. We have studied this question using dilution Hi-C in lymphoblastoid cell lines. We show extensive sample-to-sample variation in Hi-C data as well as the presence of substantial unwanted variation. We develop a method to remove this variation, while retaining signal, and use the corrected data to study the impact of genetic variation in 3D structure.

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

Back to the full JSM 2019 program