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A comprehensive gene-environment interaction analysis in Ovarian Cancer using genome-wide significant common variants.
Kim S, Wang M, Tyrer JP, Jensen A, Wiensch A, Liu G, Lee AW, Ness RB, Salvatore M, Tworoger SS, Whittemore AS, Anton-Culver H, Sieh W, Olson SH, Berchuck A, Goode EL, Goodman MT, Doherty JA, Chenevix-Trench G, Rossing MA, Webb PM, Giles GG, Terry KL, Ziogas A, Fortner RT, Menon U, Gayther SA, Wu AH, Song H, Brooks-Wilson A, Bandera EV, Cook LS, Cramer DW, Milne RL, Winham SJ, Kjaer SK, Modugno F, Thompson PJ, Chang-Claude J, Harris HR, Schildkraut JM, Le ND, Wentzensen N, Trabert B, Høgdall E, Huntsman D, Pike MC, Pharoah PDP, Pearce CL, Mukherjee B. Kim S, et al. Int J Cancer. 2019 May 1;144(9):2192-2205. doi: 10.1002/ijc.32029. Epub 2019 Jan 20. Int J Cancer. 2019. PMID: 30499236 Free PMC article.
Statistical methods for studying disease subtype heterogeneity.
Wang M, Spiegelman D, Kuchiba A, Lochhead P, Kim S, Chan AT, Poole EM, Tamimi R, Tworoger SS, Giovannucci E, Rosner B, Ogino S. Wang M, et al. Among authors: kim s. Stat Med. 2016 Feb 28;35(5):782-800. doi: 10.1002/sim.6793. Epub 2015 Dec 1. Stat Med. 2016. PMID: 26619806 Free PMC article.
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