When:
Monday, March 5, 2018
3:00 PM - 4:00 PM CT
Where: 680 N. Lake Shore Drive, Stamler Conference Room, Suite 1400, Chicago, IL 60611 map it
Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students
Contact:
Tameka Brannon
Group: Department of Preventive Medicine
Category: Lectures & Meetings
Statistical challenges in genomics data integration
Understanding the role of genetic variants in human phenotype has been the main motivator for the development of new technologies and the dramatic increase in the variety and scale of data we have seen for the past decade. Motivated by longitudinal birth cohort studies designed for understanding asthma risk, I will introduce a series of challenges that arise in genomic data integration of SNP, expression, methylation, microbiome and clinical data. I will present a novel method that uses mixed effects models for estimating the heritability of a functional phenotype using genome-wide SNPs and longitudinal observations for a quantitative trait. I will also describe some of the difficulties in this field, from sparsity of signals to non-standard missing data issues, and the statistical problems they generate.