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
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...
Gespeichert in:
| Hauptverfasser: | , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2014
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| In: |
Human molecular genetics
Year: 2013, Jahrgang: 23, Heft: 7, Pages: 1934-1946 |
| ISSN: | 1460-2083 |
| DOI: | 10.1093/hmg/ddt581 |
| Online-Zugang: | 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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| Verfasserangaben: | 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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| 520 | |a 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. | ||
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