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Statistical Learning Methods Applicable to Genome-Wide Association Studies on Unbalanced Case-Control Disease Data
2021
Genes
Despite the fact that imbalance between case and control groups is prevalent in genome-wide association studies (GWAS), it is often overlooked. This imbalance is getting more significant and urgent as the rapid growth of biobanks and electronic health records have enabled the collection of thousands of phenotypes from large cohorts, in particular for diseases with low prevalence. The unbalanced binary traits pose serious challenges to traditional statistical methods in terms of both genomic
doi:10.3390/genes12050736
pmid:34068248
pmcid:PMC8153154
fatcat:yfhzgv6jinhd3ppmhieo6ivbv4