Summer Han, Ph.D.
Assistant Professor

Dr. Han's research focuses on understanding the genetic and environmental etiology of complex disease and developing and evaluating efficient screening strategies based on etiological understanding. The areas of her research include statistical genetics, molecular epidemiology, cancer screening, health policy modeling, and risk prediction modeling. She has developed various statistical methods to analyze high-dimensional data to identify genetic and environmental risk factors and their interactions for complex disease.

Stanford CAP profilehttps://med.stanford.edu/profiles/summer-han

Lab Websitehttp://med.stanford.edu/summerhanlab.html

Google Scholar Profilehttps://scholar.google.com/citations?user=h9eoQpcAAAAJ&hl=en&oi=ao

 

 

Methodology Area of Interest:  statistical genetics, constrained likelihood ratio tests, risk prediction, case-control study, and health policy modeling

Clinical Area of Interest: gene-environment interaction, molecular epidemiology, cancer screening and natural history model for lung cancer, metabolomics study

Selected Publications: 

Han SS, Rosenberg PS, Ghosh A, Landi MT, Caporaso NE, and Chatterjee N. An Exposure-Weighted Score Test for Genetic Associations Integrating Environmental Risk Factors. Biometrics. 2015 Sep;71(3):596-605.

Figueroa JD, Han SS, Garcia-Closas M, Baris D, Jacobs EJ, et al. (2014) Genome-wide interaction study of smoking and bladder cancer risk. Carcinogenesis. 2014 Aug;35(8):1737-44.

de Koning HJ, R. Meza R, Plevritis, SK, ten Haaf K, Munshi VN, Jeon J, Erdogan SA, Kong CY, Han SS, et al. Benefits and harms of computed tomography lung cancer screening programs for high risk populations using evidence from the two largest randomized controlled trials on lung cancer screening; analyses initiated to inform the U.S. Preventive Services Task Force. Ann Intern Med. 2014 Mar 4;160(5):311-320.

Meza R, ten Haaf K, Kong CY, Erdogan A, Black W, Tammemagi M, Choi SE, Jeon J, Han SS, et al. Comparative Analysis of Five Lung Cancer Natural History and Screening Models that Reproduce Outcomes of the NLST and PLCO Trials. Cancer. 2014 Jun 1;120(11):1713-24

Han SS, Rosenberg PS, Chatterjee N. Testing for Gene–Environment and Gene–Gene Interactions Under Monotonicity Constraints. J Am Stat Assoc, 2012 Volome107, Issue 500,1441-1452.

Han SS, Rosenberg PS, Garcia-Closas M, Figueroa JD, Silverman D, Chanock SJ, Rothman N,  Chatterjee N. Likelihood ratio test for detecting gene (G)-environment (E) interactions under an additive risk model exploiting GE independence for case-control data. Am J of Epidemiol, 2012 Dec 1;176(11):1060-7.

Han SS, Sue LY, Berndt SI, Selhub J, Burdette LA, Rosenberg PS, Ziegler RG. Association between genes in the one-carbon metabolism pathway and colorectal adenoma among persons with low folate intake. Cancer Epidemiol, Biomarkers & Prev, 2012 Mar;21(3):417-27.

Han SS, Yeager M, Moore LE, Wei M, Pfeiffer R, et al. The chromosome 2p21 region harbors a complex genetic architecture for association with risk for renal cell carcinoma. Hum Mol Genet, 2012 Mar 1;21(5):1190-200

Kratz CP, Han SS, Rosenberg PS, Berndt SI, Burdett L, et al. Variants in or near KITLG, BAK1, DMRT1, and TERT-CLPTM1L predispose to familial testicular germ cell tumour. J Med Genet, 2011 Jul; 48(7):473-6

Wacholder S, Han SS, Weinberg CR. Inference From a Multiplicative Model of Joint Genetic Effects for Ovarian Cancer Risk. J Natl Cancer Inst, 2011 Jan 19; 103(2): 82–83.