title: PopAlu: population-scale detection of Alu polymorphisms.
abstract: Alu elements are sequences of approximately 300 basepairs that together comprise more than 10% of the human genome. Due to their recent origin in primate evolution some Alu elements are polymorphic in humans, present in some individuals while absent in others. We present PopAlu, a tool to detect polymorphic Alu elements on a population scale from paired-end sequencing data. PopAlu uses read pair distance and orientation as well as split reads to identify the location and precise breakpoints of polymorphic Alus. Genotype calling enables us to differentiate between homozygous and heterozygous carriers, making the output of PopAlu suitable for use in downstream analyses such as genome-wide association studies (GWAS). We show on a simulated dataset that PopAlu calls Alu elements inserted and deleted with respect to a reference genome with high accuracy and high precision. Our analysis of real data of a human trio from the 1000 Genomes Project confirms that PopAlu is able to produce highly accurate genotype calls. To our knowledge, PopAlu is the first tool that identifies polymorphic Alu elements from multiple individuals simultaneously, pinpoints the precise breakpoints and calls genotypes with high accuracy.
authors.affiliation: Bioinformatics Research Center, Aarhus University , Aarhus , Denmark.
authors.forename: Yu
authors.initials: Y
authors.lastname: Qian
authors.affiliation: deCODE genetics/Amgen , Reykjavík , Iceland.
authors.forename: Birte
authors.initials: B
authors.lastname: Kehr
authors.affiliation: deCODE genetics/Amgen , Reykjavík , Iceland ; Institute of Biomedical and Neural Engineering, School of Science and Engineering, Reykjavik University , Reykjavík , Iceland.
authors.forename: Bjarni V
authors.initials: BV
authors.lastname: Halldórsson
keywords: Alu elements; Mobile element insertion; Paired-end sequencing; Polymorphism genotyping; Structural variation