I am lucky enough to be married to a wonderful woman, and have two delightful daughters, Morgan (born 1991) and Bronwyn (born 1997). I enjoy anything to do with baseball.

 jspinelli@bccrc.ca

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Department:	Cancer Control Research (@ the BCCRC since 1999)
Research Role:	Senior Scientist
Graduate Students:	Danhong Shu
Education:	Ph.D. (Statistics), Simon Fraser University, 1994
Birthplace:	Pennsylvania, United States of America
Phone:	604-675-8055
Fax:	604-675-8180

Research Interests:

I conduct and collaborate on a large number of epidemiological, statistical and clinical research projects.

I am conducting a case-control study of genetic and environmental risk factors for breast cancer (Molecular Epidemiology of Breast Cancer). Of particular interest is the risk for exposure to polycyclic aromatic hydrocarbons (PAH) and light at night. This study is being conducted in Ontario and British Columbia. Data collection started in 2006 and will be completed in 2009.

Data collection has begun on a case-control study of genetic and environmental risk factors for multiple myeloma and MGUS (Molecular Epidemiology of Multiple Myeloma and MGUS). This study will focus on the role of organochlorines, sunlight and insulin-like growth factors. Genetic susceptibility and gene-environment interactions will be examined. Data collection will be completed in 2012.

I have completed a case-control study of genetic and environmental risk factors for non-Hodgkin lymphoma (Risk Factors for Non-Hodgkin Lymphoma). Of particular interest is the risk for exposure to organochlorines and gene-environment interactions. Data analysis is continuing.

This project is also part of the Interlymph Consortium, an international collaboration of groups from North America, Europe and Australia examining risk factors for non-Hodgkin lymphoma. The InterLymph Consortium 8th Annual Meeting will be held at the The University of British Columbia - Vancouver, BC, July 19 - 22, 2009 (Interlymph 2009).

My main statistical research areas are in the development of tests of fit for discrete distributions and for models used in statistical analysis (Goodness-of-Fit), and the development and application of methodology for genetic risk estimation in case-control studies (Genetic risk estimation).

Recently completed studies:
Evaluation of selection bias in studies of childhood leukemia and EMF
Aluminum workers cohort
Registered nurses cohort