Imperial College London
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DrDeanBodenham

Faculty of Natural Sciences, Department of Mathematics

Lecturer in Statistics
 
 
 
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Contact

 

dean.bodenham

 
 
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Location

 

531Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Llinares-López:2019:bioinformatics/bty1020,
author = {Llinares-López, F and Papaxanthos, L and Roqueiro, D and Bodenham, D and Borgwardt, K},
doi = {bioinformatics/bty1020},
journal = {Bioinformatics},
pages = {2680--2682},
title = {CASMAP: detection of statistically significant combinations of SNPs in association mapping},
url = {http://dx.doi.org/10.1093/bioinformatics/bty1020},
volume = {35},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Combinatorial association mapping aims to assess the statistical association of higher-order interactions of genetic markers with a phenotype of interest. This article presents combinatorial association mapping (CASMAP), a software package that leverages recent advances in significant pattern mining to overcome the statistical and computational challenges that have hindered combinatorial association mapping. CASMAP can be used to perform region-based association studies and to detect higher-order epistatic interactions of genetic variants. Most importantly, unlike other existing significant pattern mining-based tools, CASMAP allows for the correction of categorical covariates such as age or gender, making it suitable for genome-wide association studies.
AU  - Llinares-López,F
AU  - Papaxanthos,L
AU  - Roqueiro,D
AU  - Bodenham,D
AU  - Borgwardt,K
DO  - bioinformatics/bty1020
EP  - 2682
PY  - 2019///
SN  - 1367-4803
SP  - 2680
TI  - CASMAP: detection of statistically significant combinations of SNPs in association mapping
T2  - Bioinformatics
UR  - http://dx.doi.org/10.1093/bioinformatics/bty1020
UR  - https://academic.oup.com/bioinformatics/article/35/15/2680/5239654/
UR  - http://hdl.handle.net/10044/1/73763
VL  - 35
ER  -
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