Novel variation and de novo mutation rates in population-wide de novo assembled Danish trios

Søren Besenbacher, Siyang Liu, José M G Izarzugaza, Jakob Grove, Kirstine Belling, Jette Bork-Jensen, Shujia Huang, Thomas D Als, Shengting Li, Rachita Yadav, Arcadio Rubio-García, Francesco Lescai, Ditte Demontis, Junhua Rao, Weijian Ye, Thomas Mailund, Rune Møllegaard Friborg, Christian NS Pedersen, Ruiqi Xu, Jihua SunHao Liu, Ou Wang, Xiaofang Cheng, David Flores, Emil Rydza, Kristoffer Rapacki, John Damm Sørensen, Piotr Chmura, David Westergaard, Piotr Dworzynski, Thorkild I A Sørensen, Ole Lund, Torben Hansen, Xun Xu, Ning Li, Lars Bolund, Oluf Pedersen, Hans Eiberg, Anders Krogh, Anders D Børglum, Søren Brunak, Karsten Kristiansen, Mikkel Heide Schierup, Jun Wang, Ramneek Gupta, Palle Villesen, Simon Rasmussen

    131 Citationer (Scopus)

    Abstract

    Building a population-specific catalogue of single nucleotide variants (SNVs), indels and structural variants (SVs) with frequencies, termed a national pan-genome, is critical for further advancing clinical and public health genetics in large cohorts. Here we report a Danish pan-genome obtained from sequencing 10 trios to high depth (50 × ). We report 536k novel SNVs and 283k novel short indels from mapping approaches and develop a population-wide de novo assembly approach to identify 132k novel indels larger than 10 nucleotides with low false discovery rates. We identify a higher proportion of indels and SVs than previous efforts showing the merits of high coverage and de novo assembly approaches. In addition, we use trio information to identify de novo mutations and use a probabilistic method to provide direct estimates of 1.27e-8 and 1.5e-9 per nucleotide per generation for SNVs and indels, respectively.

    OriginalsprogEngelsk
    TidsskriftNature Communications
    Vol/bind6
    Sider (fra-til)5969
    ISSN2041-1722
    DOI
    StatusUdgivet - 2015

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