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Juan P. Lewinger, Ph.D.

Affiliations: 
2004 University of Toronto, Toronto, ON, Canada 
Area:
Statistics, Molecular Biology, Biostatistics Biology
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"Juan Lewinger"

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Shelley Bull grad student 2004 University of Toronto
 (Family-based nonparametric tests of linkage and association.)
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Publications

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Stern MC, Sanchez Mendez J, Kim AE, et al. (2023) Genome-wide gene-environment interaction analyses to understand the relationship between red meat and processed meat intake 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
Aglago EK, Kim AE, Lin Y, et al. (2023) A genetic locus within the FMN1/GREM1 gene region interacts with body mass index in colorectal cancer risk. Cancer Research
Haas CB, Su YR, Petersen P, et al. (2022) Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk. Scientific Reports. 12: 18852
Zeng C, Thomas DC, Lewinger JP. (2020) Incorporating prior knowledge into regularized regression. Bioinformatics (Oxford, England)
Xia Z, Su YR, Petersen P, et al. (2020) Functional informed genome-wide interaction analysis of body mass index, diabetes and colorectal cancer risk. Cancer Medicine
Gauderman WJ, Kim A, Conti DV, et al. (2019) A Unified Model for the Analysis of Gene-Environment Interaction. American Journal of Epidemiology
Moss LC, Gauderman WJ, Lewinger JP, et al. (2018) Using Bayes model averaging to leverage both gene main effects and Gā€‰Ć—ā€‰ E interactions to identify genomic regions in genome-wide association studies. Genetic Epidemiology
Gauderman WJ, Mukherjee B, Aschard H, et al. (2017) Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. American Journal of Epidemiology. 186: 762-770
Brenner DR, Brennan P, Boffetta P, et al. (2016) Erratum to: Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls. Human Genetics
Zhang P, Lewinger JP, Conti D, et al. (2016) Detecting Gene-Environment Interactions for a Quantitative Trait in a Genome-Wide Association Study. Genetic Epidemiology
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