Li Hsu
Professor
Biostatistics
Fred Hutchinson Cancer Rearch Center
United States of America
Biography
Ph.D., University of Washington, Biostatistics, 1994 M.S., University of Washington, Biostatistics, 1991 B.S., Nanjing University, Computer Science, 1989
Research Interest
Dr. Hsu’s 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, and characterizing the effect of the genes and their interaction with environmental risk factors on the time course of the disease. She has been involved in various studies, such as case-control population based family studies of early onset breast cancer and prostate cancer. She is also interested on performing high-dimensional data analysis on gene-set association analysis and network construction. Understanding the gene expression changes between tumor and normal tissues may help in clinical diagnosis and yielding useful biomarkers for early diagnosis.
Publications
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Phipps AI, Passarelli MN, Chan AT, Harrison TA, Jeon J, Hutter CM, Berndt SI, Brenner H, Caan BJ, Campbell PT et al.. 2016. Common Genetic Variation and Survival after Colorectal Cancer Diagnosis: A Genome-Wide Analysis.. Carcinogenesis. 37(1):87-95
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Garcia-Albeniz X, Rudolph A, Hutter C, White E, Lin Y, Rosse SA, Figueiredo JC, Harrison TA, Jiao S, Brenner H et al.. 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
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Gong J, Hutter CM, Newcomb PA, Ulrich CM, Bien SA, Campbell PT, Baron JA, Berndt SI, Bezieau S, Brenner H et al.. 2016. Genome-Wide Interaction Analyses between Genetic Variants and Alcohol Consumption and Smoking for Risk of Colorectal Cancer.. PLoS genetics. 12(10):e1006296.
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Gorfine M, Berndt SI, Chang-Claude J, Hoffmeister M, Le Marchand L, Potter J, Slattery ML, Keret N, Peters U, Hsu L. 2017. Heritability Estimation using a Regularized Regression Approach (HERRA): Applicable to continuous, dichotomous or age-at-onset outcome.. PloS one. 12(8):e0181269.
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Reiner AS, Lynch CF, Sisti JS, John EM, Brooks JD, Bernstein L, Knight JA, Hsu L, Concannon P, Mellemkjær L et al.. 2017. Hormone receptor status of a first primary breast cancer predicts contralateral breast cancer risk in the WECARE study population.. Breast cancer research : BCR. 19(1):83.
