Mengyun Wu1, Xing Qin1, Shuangge Ma2. 1. School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai 200433, China. 2. Department of Biostatistics, Yale University, New Haven, CT 06520, USA.
Abstract
SUMMARY: For understanding complex diseases, gene-environment (G-E) interactions have important implications beyond main G and E effects. Most of the existing analysis approaches and software packages cannot accommodate data contamination/long-tailed distribution. We develop GEInter, a comprehensive R package tailored to robust G-E interaction analysis. For both marginal and joint analysis, for data without and with missingness, for continuous and censored survival responses, it comprehensively conducts identification, estimation, visualization, and prediction. It can fill an important gap in the existing literature and enjoy broad applicability. AVAILABILITY AND IMPLEMENTATION: https://cran.r-project.org/web/packages/GEInter/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
SUMMARY: For understanding complex diseases, gene-environment (G-E) interactions have important implications beyond main G and E effects. Most of the existing analysis approaches and software packages cannot accommodate data contamination/long-tailed distribution. We develop GEInter, a comprehensive R package tailored to robust G-E interaction analysis. For both marginal and joint analysis, for data without and with missingness, for continuous and censored survival responses, it comprehensively conducts identification, estimation, visualization, and prediction. It can fill an important gap in the existing literature and enjoy broad applicability. AVAILABILITY AND IMPLEMENTATION: https://cran.r-project.org/web/packages/GEInter/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors: Shaun Purcell; Benjamin Neale; Kathe Todd-Brown; Lori Thomas; Manuel A R Ferreira; David Bender; Julian Maller; Pamela Sklar; Paul I W de Bakker; Mark J Daly; Pak C Sham Journal: Am J Hum Genet Date: 2007-07-25 Impact factor: 11.025
Authors: Kimberly McAllister; Leah E Mechanic; Christopher Amos; Hugues Aschard; Ian A Blair; Nilanjan Chatterjee; David Conti; W James Gauderman; Li Hsu; Carolyn M Hutter; Marta M Jankowska; Jacqueline Kerr; Peter Kraft; Stephen B Montgomery; Bhramar Mukherjee; George J Papanicolaou; Chirag J Patel; Marylyn D Ritchie; Beate R Ritz; Duncan C Thomas; Peng Wei; John S Witte Journal: Am J Epidemiol Date: 2017-10-01 Impact factor: 5.363