2014
DOI: 10.1038/hdy.2014.18
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Using next-generation RNA sequencing to identify imprinted genes

Abstract: Genomic imprinting is manifested as differential allelic expression (DAE) depending on the parent-of-origin. The most direct way to identify imprinted genes is to directly score the DAE in a context where one can identify which parent transmitted each allele. Because many genes display DAE, simply scoring DAE in an individual is not sufficient to identify imprinted genes. In this paper, we outline many technical aspects of a scheme for identification of imprinted genes that makes use of RNA sequencing (RNA-seq… Show more

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Cited by 89 publications
(133 citation statements)
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“…They are essential in determining the origin of a parental allele of genes. However, mapping at SNP locations can introduce alignment bias towards the reference alleles because the reads of the alternative alleles may be treated as mismatches and discarded by the mapping tool [7]. To minimize such bias, we artificially built a pseudo-genome (named ‘alternative genome’) by flipping the reference/alternative alleles at all SNP sites from the dbSNP database (sheep 9940) of the sheep reference genome.…”
Section: Resultsmentioning
confidence: 99%
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“…They are essential in determining the origin of a parental allele of genes. However, mapping at SNP locations can introduce alignment bias towards the reference alleles because the reads of the alternative alleles may be treated as mismatches and discarded by the mapping tool [7]. To minimize such bias, we artificially built a pseudo-genome (named ‘alternative genome’) by flipping the reference/alternative alleles at all SNP sites from the dbSNP database (sheep 9940) of the sheep reference genome.…”
Section: Resultsmentioning
confidence: 99%
“…Among those challenges are alignment bias of RNA-seq reads and filtering potential false positive SNPs. Heterozygosity can increase mapping bias because a read from the non-reference allele is considered a mismatch, resulting in a low mapping rate [7]. To minimize such alignment bias to the reference allele in the genome, we artificially built a pseudo-genome (named ‘alternative genome’) by flipping the reference/alternative alleles in all SNP sites based on known sheep dbSNP (sheep 9940).…”
Section: Methodsmentioning
confidence: 99%
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