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Quality assessment software tools | Genome-wide association study data analysis

GWAS result files are prone to errors due to the vast amount of data they contain and the different manner in which these data are generated by individual cohorts. Before combining data from individual studies in a meta-analysis, it is important to ensure that all data included are valid, of high quality and compatible between cohorts to reduce both the false-positive and the false-negative findings (de Bakker et al., 2008). Source text: van der Most et al., 2014.

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