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A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46 450 cases and 42 461 controls from the breast cancer association consortium

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Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility...

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Main Authors: Milne, Roger L. (Author) , Brenner, Hermann (Author) , Dieffenbach, Aida Karina (Author) , Hamann, Ute (Author) , Marmé, Frederik (Author) , Burwinkel, Barbara (Author)
Format: Article (Journal)
Language:English
Published: 2014
In: Human molecular genetics
Year: 2013, Volume: 23, Issue: 7, Pages: 1934-1946
ISSN:1460-2083
DOI:10.1093/hmg/ddt581
Online Access:Resolving-System, lizenzpflichtig, Volltext: https://doi.org/10.1093/hmg/ddt581
Verlag, lizenzpflichtig, Volltext: https://academic.oup.com/hmg/article/23/7/1934/654960
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Author Notes:Roger L. Milne, Jesús Herranz, Kyriaki Michailidou, Joe Dennis, Jonathan P. Tyrer, M. Pilar Zamora, José Ignacio Arias-Perez, Anna González-Neira, Guillermo Pita, M. Rosario Alonso [und 137 weitere]
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Summary:Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70 917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect.
Item Description:Advance access published on November 15, 2013
Gesehen am 09.09.2020
Physical Description:Online Resource
ISSN:1460-2083
DOI:10.1093/hmg/ddt581

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