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@article{Broc:2018,
author = {Broc, C and Evangelou, M and Truong, T and Liquet, B},
journal = {Journal of the French Statistical Society},
title = {Investigating gene- and pathway-environment Interaction analysis approaches},
year = {2018}
}

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TY  - JOUR
AB  - Pathway analysis can increase power to detect associations with a gene or a pathway by combining severalsignals at the single nucleotide polymorphism (SNP)-level into a single test. In this work, we propose to extend twowell-known self-contained methods, the Fisher’s method (FM) and the Adaptive Rank Truncated Product (ARTP)method to the analysis of gene-environment (GxE) interaction at the gene and pathway-level. It has been previouslysuggested that the permutation procedures that are usually used to derive the significance of these tests are notappropriate for the analysis of GxE interaction and should be replaced by a bootstrap approach. We analyse andcompare the performance of the extension of FM and ARTP using the permutation and the parametric bootstrapprocedure in simulation studies. We illustrate its application by analysing the interaction between night work andcircadian gene polymorphisms in the risk of breast cancer in a case-control study. The ARTP method, adapted for bothgene- and pathway-environment interactions, gives promising results and has been wrapped to the R package PIGEavailable on the CRAN.
AU  - Broc,C
AU  - Evangelou,M
AU  - Truong,T
AU  - Liquet,B
PY  - 2018///
SN  - 1962-5197
TI  - Investigating gene- and pathway-environment Interaction analysis approaches
T2  - Journal of the French Statistical Society
ER  -

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