Chad (Qianchuan) He

Appointments and Affiliations

Fred Hutchinson Cancer Research Center
Public Health Sciences
Biostatistics & Biomathematics
Assistant Member, Appointed: 2012
Professional Headshot of Chad (Qianchuan) He<br />

Mailing Address

Fred Hutchinson Cancer Research Center
P.O. Box 19024
Seattle, Washington 98109-1024
United States


Phone: (206) 667-7068
Fax: (206) 667-7004


Ph.D., Biostatistics, University of North Carolina, 2012.
Ph.D., Microbiology and Molecular Genetics, Michigan State University, 2005.
M.S., Statistics, Michigan State University, 2004.
B.S., Biology, Beijing University, 1997.

Research Interests

My research is focused on the development of new statistical methods to tackle the high-dimensionality of genomic data. This includes variable selection, dimension reduction and risk prediction for high-throughput genetic studies. I am also interested in multivariate-outcome data analysis, machine learning and quantile regression methods.

Additional Experience

Software Developed

HAPSTAT for special sampling scheme (both in C++ and R), 2007-2008. This software has high power to detect genetic associations by adopting a MLE-based method for haplotype analysis.

HAPSCAN (written in C++), 2009. This program performs sliding-window analysis for large-scale haplotype analysis.

Monte Carlo method for multiple testing adjustment (both in R and C++), 2010. This software employs a Monte-Carlo method to adjust for multiple comparisons in genetic association studies.

Joint analysis for GWAS with multiple phenotypes (in C++), 2011. It provides a statistically powerful tool for analyzing genetic association studies that carry multiple phenotypes.

GWASelect (C++, with parallel computing), 2010. This is a cutting-edge program for disease-gene hunting and genetic risk prediction in the era of personalized medicine.

Variable selection for meta-analysis (written in R), 2011. This software conducts variable selection for meta analysis, either based on raw data or solely based on summary statistics.

A Support Vector Machine Program for genetic risk prediction (written in C++), 2011.


American Statistics Association
Eastern North American Region of the International Biometric Society

Honors and Awards

Finalist for NIH Director's Early Independence Award, 2013
Young Investigator Award, Section on Statistics in Epidemiology, American Statistical Association, 2013
ENAR Distinguished Student Paper Award, 2012
NIH Research Fellowship, 2005-2006
Graduate Student Research Enhancement Award, Michigan State University, 2003
Ronald M. and Sharon Rogowski Fellowship, Michigan State University, 2003

Recent Publications

He, Q, Fyfe JC, Schäffer AA, Kilkenney A, Werner P, Kirkness EF, Henthorn PS.  2003.  Canine Imerslund-Gräsbeck syndrome maps to a region orthologous to HSA14q.. Mammalian genome : official journal of the International Mammalian Genome Society. 14(11):758-64. Abstract
Fyfe, JC, Kampschmidt K, Dang V, Poteet BA, He Q, Lowrie C, Graham PA, Fetro VM.  2003.  Congenital hypothyroidism with goiter in toy fox terriers.. Journal of veterinary internal medicine / American College of Veterinary Internal Medicine. 17(1):50-7. Abstract