title: Estimating Exceptionally Rare Germline and Somatic Mutation Frequencies via Next Generation Sequencing.
abstract: We used targeted next generation deep-sequencing (Safe Sequencing System) to measure ultra-rare de novo mutation frequencies in the human male germline by attaching a unique identifier code to each target DNA molecule. Segments from three different human genes (FGFR3, MECP2 and PTPN11) were studied. Regardless of the gene segment, the particular testis donor or the 73 different testis pieces used, the frequencies for any one of the six different mutation types were consistent. Averaging over the C>T/G>A and G>T/C>A mutation types the background mutation frequency was 2.6x10-5 per base pair, while for the four other mutation types the average background frequency was lower at 1.5x10-6 per base pair. These rates far exceed the well documented human genome average frequency per base pair (~10-8) suggesting a non-biological explanation for our data. By computational modeling and a new experimental procedure to distinguish between pre-mutagenic lesion base mismatches and a fully mutated base pair in the original DNA molecule, we argue that most of the base-dependent variation in background frequency is due to a mixture of deamination and oxidation during the first two PCR cycles. Finally, we looked at a previously studied disease mutation in the PTPN11 gene and could easily distinguish true mutations from the SSS background. We also discuss the limits and possibilities of this and other methods to measure exceptionally rare mutation frequencies, and we present calculations for other scientists seeking to design their own such experiments.
authors.affiliation: Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
authors.forename: Jordan
authors.initials: J
authors.lastname: Eboreime
authors.affiliation: Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
authors.forename: Soo-Kung
authors.initials: SK
authors.lastname: Choi
authors.affiliation: Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
authors.forename: Song-Ro
authors.initials: SR
authors.lastname: Yoon
authors.affiliation: Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
authors.forename: Norman
authors.initials: N
authors.lastname: Arnheim
authors.affiliation: Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
authors.forename: Peter
authors.initials: P
authors.lastname: Calabrese
mesh_terms: D001483:Base Sequence; D004249:DNA Damage; D005787:Gene Frequency; D018095:Germ-Line Mutation; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D009154:Mutation; D059645:Mutation Rate; D016133:Polymerase Chain Reaction