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Fig. 2 | BMC Genomics

Fig. 2

From: Fine mapping of QTL and genomic prediction using allele-specific expression SNPs demonstrates that the complex trait of genetic resistance to Marek’s disease is predominantly determined by transcriptional regulation

Fig. 2

Percent deviation from average genetic effect for each SNP category screened. SNPs used in our genome-wide association analysis (GWAS) were identified as (1) ASE, which showed allele-specific expression (ASE) in response to Marek’s disease virus (MDV) challenge, or (2) were randomly selected based on equally spaced informative genetic markers that were either in genes or between them. The effects associated with the SNPs (ai) were estimated from the solutions with all SNPs in the model, then the total contribution of effects to each category, Vg (category), was computed as the sum of the effects in that category squared, which is proportional to the variance explained by SNPs in that category. The relative genetic effects of SNPs in each category (ASE, Random in gene, and Random not in gene) were calculated as 100[Vg(category)-Vg(average)]/Vg(average)

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BMC Genomics

ISSN: 1471-2164

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