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      QuASAR: quantitative allele-specific analysis of reads.

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          Abstract

          Expression quantitative trait loci (eQTL) studies have discovered thousands of genetic variants that regulate gene expression, enabling a better understanding of the functional role of non-coding sequences. However, eQTL studies are costly, requiring large sample sizes and genome-wide genotyping of each sample. In contrast, analysis of allele-specific expression (ASE) is becoming a popular approach to detect the effect of genetic variation on gene expression, even within a single individual. This is typically achieved by counting the number of RNA-seq reads matching each allele at heterozygous sites and testing the null hypothesis of a 1:1 allelic ratio. In principle, when genotype information is not readily available, it could be inferred from the RNA-seq reads directly. However, there are currently no existing methods that jointly infer genotypes and conduct ASE inference, while considering uncertainty in the genotype calls.

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          Author and article information

          Journal
          Bioinformatics
          Bioinformatics (Oxford, England)
          Oxford University Press (OUP)
          1367-4811
          1367-4803
          Apr 15 2015
          : 31
          : 8
          Affiliations
          [1 ] Center for Molecular Medicine and Genetics, Department of Obstetrics and Gynecology, Wayne State University, 540 E Canfield, Scott Hall, Detroit, MI 48201, USA and Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA.
          Article
          btu802
          10.1093/bioinformatics/btu802
          4393517
          25480375
          4bcc9ef9-48fd-466d-a069-7e66e396e3f8
          © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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