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http://dx.doi.org/10.5351/KJAS.2010.23.1.095

A Review of Genetic Association Analyses in Population and Family Based Data: Methods and Software  

Lee, Hyo-Jung (Department of Statistics, Korea University)
Kim, Min-Ji (Biostatistics Team, Samsung Biomedical Research Institute)
Park, Mi-Ra (Department of Preventive Medicine, Eulji University)
Publication Information
The Korean Journal of Applied Statistics / v.23, no.1, 2010 , pp. 95-111 More about this Journal
Abstract
Recently, there have been lots of study for disease-genetic association using SNPs and haplotypes. Statistical methods and tools for various types of data are developed by many researchers. However, there is no unified software which can handle most of major analysis, and the methods and manners to deal with data are quite different through softwares. And thus it is not easy to researcher to choose proper software. In this study, we devide analyzing procedures into three steps: preliminary analysis, population-based analysis and family-based analysis. We review the statistical methods for each step and compare the features of the FBAT, SAS/Genetics, SAGE and R as major integrating softwares for genetic study.
Keywords
Genetic association; SNP; haplotype; softwares;
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