Ascertainment bias from imputation methods evaluation in wheat

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• 作者：Sofía P. Brandariz ; Agustín González Reymúndez ; Bettina Lado…
• 关键词：GBS ; QTL ; GWAS ; Power ; False positive
• 刊名：BMC Genomics
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：17
• 期：1
• 全文大小：1595KB
• 刊物主题：Life Sciences, general; Microarrays; Proteomics; Animal Genetics and Genomics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
• 出版者：BioMed Central
• ISSN：1471-2164
• 卷排序：17

文摘

BackgroundWhole-genome genotyping techniques like Genotyping-by-sequencing (GBS) are being used for genetic studies such as Genome-Wide Association (GWAS) and Genomewide Selection (GS), where different strategies for imputation have been developed. Nevertheless, imputation error may lead to poor performance (i.e. smaller power or higher false positive rate) when complete data is not required as it is for GWAS, and each marker is taken at a time. The aim of this study was to compare the performance of GWAS analysis for Quantitative Trait Loci (QTL) of major and minor effect using different imputation methods when no reference panel is available in a wheat GBS panel.