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A Reference Data Set of 5.4 Million Phased Human Variants Validated by Genetic Inheritance from Sequencing a Three-generation 17-member Pedigree

Abstract

Improvement of variant calling in next-generation sequence data requires a comprehensive, genome-wide catalog of high-confidence variants called in a set of genomes for use as a benchmark. We generated deep, whole-genome sequence data of 17 individuals in a three-generation pedigree and called variants in each genome using a range of currently available algorithms. We used haplotype transmission information to create a phased "Platinum" variant catalog of 4.7 million single-nucleotide variants (SNVs) plus 0.7 million small (1-50 bp) insertions and deletions (indels) that are consistent with the pattern of inheritance in the parents and 11 children of this pedigree. Platinum genotypes are highly concordant with the current catalog of the National Institute of Standards and Technology for both SNVs (>99.99%) and indels (99.92%) and add a validated truth catalog that has 26% more SNVs and 45% more indels. Analysis of 334,652 SNVs that were consistent between informatics pipelines yet inconsistent with haplotype transmission ("nonplatinum") revealed that the majority of these variants are de novo and cell-line mutations or reside within previously unidentified duplications and deletions. The reference materials from this study are a resource for objective assessment of the accuracy of variant calls throughout genomes.

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References
1.
Marx V . The DNA of a nation. Nature. 2015; 524(7566):503-5. DOI: 10.1038/524503a. View

2.
Auton A, Brooks L, Durbin R, Garrison E, Kang H, Korbel J . A global reference for human genetic variation. Nature. 2015; 526(7571):68-74. PMC: 4750478. DOI: 10.1038/nature15393. View

3.
Raczy C, Petrovski R, Saunders C, Chorny I, Kruglyak S, Margulies E . Isaac: ultra-fast whole-genome secondary analysis on Illumina sequencing platforms. Bioinformatics. 2013; 29(16):2041-3. DOI: 10.1093/bioinformatics/btt314. View

4.
Mikhail F, Burnside R, Rush B, Ibrahim J, Godshalk R, Rutledge S . The recurrent distal 22q11.2 microdeletions are often de novo and do not represent a single clinical entity: a proposed categorization system. Genet Med. 2013; 16(1):92-100. DOI: 10.1038/gim.2013.79. View

5.
Conrad D, Keebler J, DePristo M, Lindsay S, Zhang Y, Casals F . Variation in genome-wide mutation rates within and between human families. Nat Genet. 2011; 43(7):712-4. PMC: 3322360. DOI: 10.1038/ng.862. View