Clone sizes and sampling the T cell repertoire

Peng Yu Co-Author
University of Wisconsin Madison
 
Mark Albertini Co-Author
University of Wisconsin Madison
 
Yumin Lian Co-Author
University of Wisconsin Madison
 
Elliot Xie Co-Author
University of Wisconsin Madison
 
Cindy Zuleger Co-Author
University of Wisconsin Madison
 
Richard Albertini Co-Author
University of Vermont
 
Michael Newton First Author
University of Wisconsin-Madison
 
Michael Newton Presenting Author
University of Wisconsin-Madison
 
Monday, Aug 4: 11:05 AM - 11:20 AM
1560 
Contributed Papers 
Music City Center 
Surrogate selection is an experimental design that without sequencing any DNA can restrict a sample of cells to those carrying certain genomic mutations. In immunological disease studies, this design may provide a relatively easy approach to enrich a lymphocyte sample with cells relevant to the disease response because the emergence of neutral mutations associates with the proliferation history of clonal subpopulations. A statistical analysis of clonotype sizes provides a structured, quantitative perspective on this useful property of surrogate selection. Our model specification couples within-clonotype birth-death processes with an exchangeable model across clonotypes. Beyond enrichment questions about the surrogate selection design, our framework enables a study of sampling properties of elementary sample diversity statistics; it also points to new statistics that may usefully measure the burden of somatic genomic alterations associated with clonal expansion. We examine statistical properties of immunological samples governed by the coupled model specification, and we illustrate calculations in surrogate selection studies of melanoma and in single-cell genomic studies.

Keywords

Bayes's rule

clonal expansion

exchangeable birth death process

experimental design

somatic mutation

size bias 

Main Sponsor

Biometrics Section