FACULTY
twitter

E-Mail:
jimg@usc.edu

Office Phone:
(323) 442-1567

Office Location:
2001 N Soto Street
SSB 202K, MC 9234
Los Angeles, CA 90032



CLOSE[x]
William Gauderman, Ph.D.
Professor of Preventive Medicine
Chairman, Division of Biostatistics




About Dr.Gauderman

Dr. Gauderman's research falls into two distinct areas:

1) developing statistical methods for genetic-epidemiologic analysis of pedigree data; 2) design and analysis of studies relating health outcomes to environmental exposures. In the field of genetic-epidemiology, he has developed models and methods of estimation for complex traits that depend on both genetic and environment causes, possibly interacting. He has evaluated a technique known as joint segregation and linkage analysis and has found it to be an efficient strategy both for detecting linkage and for estimating gene-environment interactions when the disease gene has not yet been identified. He has also compared various case-control designs for studying measured genes (e.g. candidate genes). In the field of environmental health, he works with the Children's Health Study, a multi-community study of lung function and respiratory health in school-aged children in the Southern California area. The ultimate goal of this research is to determine whether air pollution, or particular components of air pollution such as ozone, is associated with reduced lung growth and increased incidence of asthma, bronchitis, and other respiratory illnesses. He is also the principal investigator of the biostatistics core of the NIEHS Center, and thus is available for statistical consultation for projects involving environmental health.



Research Interests

My research falls into two distinct areas:1) developing statistical methods for genetic-epidemiologic analysis of complex human traits including asthma and cancer; 2) design and analysis of studies relating health outcomes to environmental exposures. In the field of genetic-epidemiology, I have developed models and methods for the analysis of gene-environment (GxE) interaction. These have included methods applicable to pedigrees, case-control samples, and in the context of genomewide association studies. Related to my methods are two software programs that I and my team have developed: "GxEScan" to identify GxE interactions in a genomewide association study, and "Quanto" to compute power or required sample sizes for genetic-epidemiologic studies. I am currently interested in new methods for the analysis of "-omics" data, and as of July, 2016, and leading a program project entitled "Statistical Methods for Integrative Genomics of Cancer". I am also interested in studying the association between outdoor air pollution and children's respiratory health. Related to this, I have been part of the Children's Health Study for over 20 years and in that time, have published several papers demonstrating that outdoor air pollution adversely affects both children's lung function development and their risk of asthma and other respiratory outcomes.



Courses Taught

PM511a: Data Analysis
PM511a: Data Analysis (online, as part of the online MPH program)