Quality control of genotypes using heritability estimates of gene content.
Resumen:
ABSTRACT.Quality control filtering of single nucleotide polymorphisms (SNP) is a key step when analyzing genomic data. Here, we present a practical method to identify poorly genotyped SNPs by detecting those for which gene content deviates from the pedigree-based expectation. This can be achieved by estimating the heritability of gene content at each marker, defined as the number of copies of a particular reference allele in a genotype of an animal (0, 1 or 2). The method uses Restricted Maximum Likelihood (REML) to estimate heritability of gene content at each SNP and also builds a likelihood ratio test statistic to test for zero error variance in genotyping. The proposed method is illustrated with a real dataset with genotypes from Illumina PorcineSNP60 chip.
| 2014 | |
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Quality Control Gene Content Heritability Likelihood Ratio |
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| Inglés | |
| Instituto Nacional de Investigación Agropecuaria | |
| AINFO | |
| http://www.ainfo.inia.uy/consulta/busca?b=pc&id=61920&biblioteca=vazio&busca=61920&qFacets=61920 | |
| Acceso abierto |
| Sumario: | ABSTRACT.Quality control filtering of single nucleotide polymorphisms (SNP) is a key step when analyzing genomic data. Here, we present a practical method to identify poorly genotyped SNPs by detecting those for which gene content deviates from the pedigree-based expectation. This can be achieved by estimating the heritability of gene content at each marker, defined as the number of copies of a particular reference allele in a genotype of an animal (0, 1 or 2). The method uses Restricted Maximum Likelihood (REML) to estimate heritability of gene content at each SNP and also builds a likelihood ratio test statistic to test for zero error variance in genotyping. The proposed method is illustrated with a real dataset with genotypes from Illumina PorcineSNP60 chip. |
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