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There isn't presently a widely made use of consensus for the appropriate analytical test, or more specifically the numerous assessment correction treatment, used to identify segregation distortion for high-density single-nucleotide polymorphism (SNP) data. Here we study the effectiveness of various several assessment treatments, including chi-square test with no correction for several assessment, false-discovery rate correction and Bonferroni modification utilizing an in-silico simulation of a bip

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