Papers

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SBERIA: Set Based gene EnviRonment InterAction test for rare and common variants in complex diseases (with Li Hsu, Stéphane Bézieau, Hermann Brenner, Andrew T. Chan, Jenny Chang-Claude, Loic Le Marchand, Mathieu Lemire, Polly A. Newcomb, Martha L. Slattery, and Ulrike Peters), Genetic Epidemiology (2013)

Identification of gene-environment interaction (GxE) is important in understanding the etiology of complex diseases. However,...

 

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A pooled analysis of smoking and colorectal cancer: timing of exposure and interactions with environmental factors, Cancer Epidemiology, Biomarkers & Prevention (2012)

Background:Considerable evidence suggests that cigarette smoking is associated with a higher risk of colorectal cancer....

 

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Characterization of Gene–Environment Interactions for Colorectal Cancer Susceptibility Loci, Cancer Research (2012)

Genome-wide association studies (GWAS) have identified more than a dozen loci associated with colorectal cancer...

 

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Powerful Cocktail Methods for Detecting Genome-Wide Gene-Environment Interaction (with Li Hsu, James Y. Dai, Carolyn M. Hutter, Ulrike Peters, and Charles Kooperberg), Genetic Epidemiology (2012)

Identifying gene and environment interaction (G × E) can provide insights into biological networks of...

 

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A Systematic Mapping Approach of 16q12.2/FTO and BMI in More Than 20,000 African Americans Narrows in on the Underlying Functional Variation: Results from the Population Architecture using Genomics and Epidemiology (PAGE) Study, PLoS Genetics (2012)

Genetic variants in intron 1 of the fat mass– and obesity-associated (FTO) gene have been...

 

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Genome-Wide Search for Gene-Gene Interactions in Colorectal Cancer, PLOS ONE (2012)

Genome-wide association studies (GWAS) have successfully identified a number of single-nucleotide polymorphisms (SNPs) associated with...

 

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The use of imputed values in the meta-analysis of genome-wide association studies. (with Li Hsu, Carolyn Hutter, and Ulrike Peters), Genetic Epidemiology (2011)

In genome-wide association studies (GWAS), it is a common practice to impute the genotypes of...

 

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Meta-analysis of new genome-wide association studies of colorectal cancer risk., Human Genetics (2011)

Colorectal cancer is the second leading cause of cancer death in developed countries. Genome-wide association...

 

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A mixture model based approach for estimating the FDR in replicated microarray data (with Shunpu Zhang), Journal of Biomedical Science and Engineering (2010)

One of the mostly used methods for estimating the false discovery rate (FDR) is the...

 

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Estimating the Proportion of Equivalently Expressed Genes in Microarray Data Based on Transformed Test Statistics (with Shunpu Zhang), Journal of Computational Biology (2010)

In microarray data analysis, false discovery rate (FDR) is now widely accepted as the control...

 

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On correcting the overestimation of the permutation based false discovery rate estimator. (with Shunpu Zhang), Bioinformatics (2008)

Motivation: Recent attempts to account for multiple testing in the analysis of microarray data have...

 

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The t-mixture model approach for detecting differentially expressed genes in microarrays (with Shunpu Zhang), Functional Integrative Genomics (2008)

The finite mixture model approach has attracted much attention in analyzing microarray data due to...

 

Contributions to Books

Probabilistic peak calling and controlling False Discovery Rate in transcription factor binding site mapping from ChIP-seq (with Cheryl Bailey, Shunpu Zhang, and Istvan Ladunga), The Computational Biology of Transcription Factor Binding. In the series: Methods in Molecular Biology (2010)