<p>Understanding the human de novo mutation (DNM) rate requires complete sequence information<sup><CitationRef CitationID="CR1">1</CitationRef></sup>. Here using five complementary short-read and long-read sequencing technologies, we phased and assembled more than 95% of each diploid human genome in a four-generation, twenty-eight-member family (CEPH 1463). We estimate 98–206 DNMs per transmission, including 74.5 de novo single-nucleotide variants, 7.4 non-tandem repeat indels, 65.3 de novo indels or structural variants originating from tandem repeats, and 4.4 centromeric DNMs. Among male individuals, we find 12.4 de novo Y chromosome events per generation. Short tandem repeats and variable-number tandem repeats are the most mutable, with 32 loci exhibiting recurrent mutation through the generations. We accurately assemble 288 centromeres and six Y chromosomes across the generations and demonstrate that the DNM rate varies by an order of magnitude depending on repeat content, length and sequence identity. We show a strong paternal bias (75–81%) for all forms of germline DNM, yet we estimate that 16% of de novo single-nucleotide variants are postzygotic in origin with no paternal bias, including early germline mosaic mutations. We place all this variation in the context of a high-resolution recombination map (~3.4 kb breakpoint resolution) and find no correlation between meiotic crossover and de novo structural variants. These near-telomere-to-telomere familial genomes provide a truth set to understand the most fundamental processes underlying human genetic variation.</p>

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Human de novo mutation rates from a four-generation pedigree reference

  • David Porubsky,
  • Harriet Dashnow,
  • Thomas A. Sasani,
  • Glennis A. Logsdon,
  • Pille Hallast,
  • Michelle D. Noyes,
  • Zev N. Kronenberg,
  • Tom Mokveld,
  • Nidhi Koundinya,
  • Cillian Nolan,
  • Cody J. Steely,
  • Andrea Guarracino,
  • Egor Dolzhenko,
  • William T. Harvey,
  • William J. Rowell,
  • Kirill Grigorev,
  • Thomas J. Nicholas,
  • Michael E. Goldberg,
  • Keisuke K. Oshima,
  • Jiadong Lin,
  • Peter Ebert,
  • W. Scott Watkins,
  • Tiffany Y. Leung,
  • Vincent C. T. Hanlon,
  • Sean McGee,
  • Brent S. Pedersen,
  • Hannah C. Happ,
  • Hyeonsoo Jeong,
  • Katherine M. Munson,
  • Kendra Hoekzema,
  • Daniel D. Chan,
  • Yanni Wang,
  • Jordan Knuth,
  • Gage H. Garcia,
  • Cairbre Fanslow,
  • Christine Lambert,
  • Charles Lee,
  • Joshua D. Smith,
  • Shawn Levy,
  • Christopher E. Mason,
  • Erik Garrison,
  • Peter M. Lansdorp,
  • Deborah W. Neklason,
  • Lynn B. Jorde,
  • Aaron R. Quinlan,
  • Michael A. Eberle,
  • Evan E. Eichler

摘要

Understanding the human de novo mutation (DNM) rate requires complete sequence information1. Here using five complementary short-read and long-read sequencing technologies, we phased and assembled more than 95% of each diploid human genome in a four-generation, twenty-eight-member family (CEPH 1463). We estimate 98–206 DNMs per transmission, including 74.5 de novo single-nucleotide variants, 7.4 non-tandem repeat indels, 65.3 de novo indels or structural variants originating from tandem repeats, and 4.4 centromeric DNMs. Among male individuals, we find 12.4 de novo Y chromosome events per generation. Short tandem repeats and variable-number tandem repeats are the most mutable, with 32 loci exhibiting recurrent mutation through the generations. We accurately assemble 288 centromeres and six Y chromosomes across the generations and demonstrate that the DNM rate varies by an order of magnitude depending on repeat content, length and sequence identity. We show a strong paternal bias (75–81%) for all forms of germline DNM, yet we estimate that 16% of de novo single-nucleotide variants are postzygotic in origin with no paternal bias, including early germline mosaic mutations. We place all this variation in the context of a high-resolution recombination map (~3.4 kb breakpoint resolution) and find no correlation between meiotic crossover and de novo structural variants. These near-telomere-to-telomere familial genomes provide a truth set to understand the most fundamental processes underlying human genetic variation.