Ph.D., University of Washington, Biostatistics, 1994.
M.S., University of Washington, Biostatistics, 1991.
B.S., Nanjing University, Computer Science, 1989.
My principal research area is statistical genomics. These include assessing familial aggregation using variable age at onset as disease outcomes, discovering latent genes via linkage and association techniques, and characterizing the effect of the genes and their interaction with environmental risk factors on the time course of the disease. I have been involved in a number of family studies, such as case-control population based family studies of early onset breast cancer and prostate cancer and a school-based family study of learning disabilities.
I am also interested in the large scale of genomic data that are generated using the high throughput technologies. I am developing methods for evaluating the genome-wide pattern for the loss of heterzygosity (LOH) using the single nucleotide polymorphisms data from microarray chip. It is hypothesized that the genome-wide pattern of LOH may shed light on the mechanisms of tumor initiation and expansion. Complementary to the LOH study, I am also studying the methods for analyzing the gene expression data from the spotted array. Understanding the gene expression changes between tumor and normal tissues may help in clinical diagnosis, yielding useful biomarkers for early diagnosis, elucidating the genetic pathway, and mechanisms of cell cycles.
Associate Editor for Biometrics, 2000-present;
Statistical Editor for Journal of National Cancer Institute.
drug development and preventive strategies for cancer and other diseases.
(Reading, Writing, Speaking)
Chinese, Mandarin: (Fluent, Fluent, Fluent)
English: (Fluent, Fluent, Fluent)
American Society of Human Genetics
American Statistical Association
International Biometric Society
Honors and Awards
1991, Donovan J. Thompson Award for outstanding student in biostatistics, University of Washington
1991-1994, Merck, Sharp & Dohme Research Laboratories, Predoctoral Fellowship.,
2000-2005, Associate Member, Fred Hutchinson Cancer Research Center, Public Health Sciences Division, Biostatistics and Biomathematics Program
1997-2000, Assistant Member, Fred Hutchinson Cancer Research Center
1996-1997, Staff Scientist, Fred Hutchinson Cancer Research Center
1996-2000, Affiliate Assistant Professor, University of Washington, School of Public Health and Community Medicine, Biostatistics
1994-1995, Research Fellow, Fred Hutchinson Cancer Research Center, Public Health Sciences
Hypothesis testing in functional linear models.. Biometrics.. 2017.
Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer.. PLoS genetics. 12(10):e1006296.. 2016.
A unified powerful set-based test for sequencing data analysis of GxE interactions.. Biostatistics (Oxford, England).. 2016.
A fully nonparametric estimator of the marginal survival function based on case-control clustered age-at-onset data.. Biostatistics (Oxford, England).. 2016.
CYP24A1 variant modifies the association between use of oestrogen plus progestogen therapy and colorectal cancer risk.. British journal of cancer. 114(2):221-9.. 2016.
Common Genetic Variation and Survival after Colorectal Cancer Diagnosis: A Genome-Wide Analysis.. Carcinogenesis. 37(1):87-95.. 2016.
Rare variant associations with waist-to-hip ratio in European-American and African-American women from the NHLBI-Exome Sequencing Project.. European journal of human genetics : EJHG. 24(8):1181-1187.. 2016.
A Model to Determine Colorectal Cancer Risk Using Common Genetic Susceptibility Loci.. Gastroenterology. 148(7):1330-9.e14.. 2015.
Identification of a Common Variant with Potential Pleiotropic Effect on Risk of Inflammatory Bowel Disease and Colorectal Cancer.. Carcinogenesis. 36(9):999-1007.. 2015.
Whole-genome sequencing identifies EN1 as a determinant of bone density and fracture.. Nature. 526(7571):112-7.. 2015.
A regularized multivariate regression approach for eQTL analysis.. Statistics in biosciences. 7(1):129-146.. 2015.
Bias Correction Methods Explain Much of the Variation Seen in Breast Cancer Risks of BRCA1/2 Mutation Carriers.. Journal of clinical oncology : official journal of the American Society of Clinical Oncology.. 2015.
Single-Gene Genotyping and Personalized Preventive Care--Reply.. JAMA. 314(3):298.. 2015.
Genetic variants of adiponectin and risk of colorectal cancer.. International journal of cancer. Journal international du cancer. 137(1):154-64.. 2015.
Mendelian randomization study of body mass index and colorectal cancer risk.. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 24(7):1024-31.. 2015.
Rare and Coding Region Genetic Variants Associated With Risk of Ischemic Stroke: The NHLBI Exome Sequence Project.. JAMA neurology. 72(7):781-8.. 2015.
Association of exome sequences with plasma C-reactive protein levels in >9000 participants.. Human molecular genetics. 24(2):559-71.. 2015.
Red meat intake, NAT2, and risk of colorectal cancer: a pooled analysis of 11 studies.. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology. 24(1):198-205.. 2015.
Powerful Set-Based Gene-Environment Interaction Testing Framework for Complex Diseases.. Genetic epidemiology. 39(8):609-18.. 2015.
Reply.. Gastroenterology.. 2015.
Mendelian randomization study of height and risk of colorectal cancer.. International journal of epidemiology. 44(2):662-72.. 2015.