" Genome-wide Association Study of Neuroblastoma and High Dimensional Statistics"
September 21, 2010 @ 4:00 - 4:30 pm
Hongzhe Li, Ph.D. - University of Pennsylvania
Location: BRB II/III - Room 253
TITLE: Genome-wide Association Study of Neuroblastoma and High Dimensional Statistics
ABSTRACT: Neuroblastoma (NB) is a pediatric cancer of the developing sympathetic nervous system that most commonly affects young children and is often lethal. It is regarded as a complex disease with multiple genes contributing to its susceptibility. Recent genome-wide association study (GWAS) of NB at the Children's Hospital of Philadelphia (CHOP) has successfully identified several important novel genetic variants (SNPs) and copy number variants (CNVs) that are associated with NB. We will first review results from analysis of the CHOP GWAS data, pointing out some statistical issues that we have to deal with. Motivated by the GWAS of NB, we will then present several interesting problems in high dimensional statistics that require further methodological developments, including theoretical investigation of the GWAS power and sparse signal discovery. We establish the theoretical boundary for almost recovery of both disease-associated SNPs and non disease-associated SNPs. We also present optimal segment identification procedures for CNV analysis based on both SNP-chip data and next generation sequence data. Results from analysis of NB GWAS are used to illustrate these ideas.