AA9int: SNP interaction pattern search using non-hierarchical additive model set

MOTIVATION: The use of single nucleotide polymorphism (SNP) interactions to predict complex diseases is getting more attention during the past decade, but related statistical methods are still immature. We previously proposed the SNP Interaction Pattern Identifier (SIPI) approach to evaluate 45 SNP...

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Publicado en:Bioinformatics
Main Authors: Lin, Hui-Yi, Huang, Po-Yu, Chen, Dung-Tsa, Tung, Heng-Yuan, Sellers, Thomas A, Pow-Sang, Julio M, Eeles, Rosalind, Easton, Doug, Kote-Jarai, Zsofia, Amin Al Olama, Ali, Benlloch, Sara, Muir, Kenneth, Giles, Graham G, Wiklund, Fredrik, Gronberg, Henrik, Haiman, Christopher A, Schleutker, Johanna, Nordestgaard, Børge G, Travis, Ruth C, Hamdy, Freddie, Neal, David E, Pashayan, Nora, Khaw, Kay-Tee, Stanford, Janet L, Blot, William J, Thibodeau, Stephen N, Maier, Christiane, Kibel, Adam S, Cybulski, Cezary, Cannon-Albright, Lisa, Brenner, Hermann, Kaneva, Radka, Batra, Jyotsna, Teixeira, Manuel R, Pandha, Hardev, Lu, Yong-Jie, Park, Jong Y
Formato: Artigo
Idioma:Inglês
Publicado: Oxford University Press 2018
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Original Papers
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6289141/
https://ncbi.nlm.nih.gov/pubmed/29878078
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty461
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