Sequencing
SFAF2016%20Meeting%20Guide%20Final%203
SFAF2016%20Meeting%20Guide%20Final%203
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11th Annual <strong>Sequencing</strong>, Finishing, and Analysis in the Future Meeting<br />
DE NOVO ASSEMBLY AND STRUCTURAL VARIATION<br />
DETECTION OF HUMAN GENOMES USING SINGLE<br />
MOLECULE NEXT-GENERATION MAPPING AND SV<br />
CALL VALIDATION BY INHERITANCE AND<br />
ORTHOGONAL MEASUREMENTS.<br />
Thursday, 2nd June 17:35 La Fonda Ballroom Tech Talk (TT‐2.09)<br />
Alex Hastie 1 , Thomas Anantharaman 1 , Tiffany Liang 1 , Ernest Lam 1 ,<br />
Joyce Lee 1 , Khoa Pham 1 , Michael Saghbini 1 , Ali Bashir 2 , Han Cao 1<br />
1 BioNano Genomics, 2 Mount Sinai School of Medicine<br />
Structural variation detection is generally based on reference mapping to find discordant evidence.<br />
In order to detect structural variations comprehensively, a reference independent (de novo) approach<br />
is needed as it allows assembly of regions absent from the reference. Using Next‐Generation Mapping<br />
(NGM) from BioNano Genomics), we produced high‐resolution genome maps that were de<br />
novo assembled and preserved the long‐range genomic information necessary for structural variation<br />
detection.<br />
Here, the Genome in a Bottle (GIAB) reference trio of Ashkenazi Jewish descent (NA24385,<br />
NA24149, NA24143) has been de novo assembled using the Irys System. Structural variation analysis<br />
reveals insertions, inversions, and deletions, including large deletions in the UGT2B17 gene (involved<br />
in graft versus host disease, osteopathic health and testosterone and estradiol levels) in the mother<br />
and son. We compared structural variants found in the son (NA24385) by genome mapping to those<br />
found in his parents. Deletion and insertion calls, one kilobase and up, found in the son are also<br />
found in the parents at a rate of 90% and 92% respectively. We also use structural variation calls<br />
made with PacBio sequencing by reference mapping and local assembly approaches to validate<br />
BioNano’s structural variation calls, resulting in up to 80% cross‐validation rates for deletions of<br />
2‐5kb, while a much lower rate for larger deletions and all insertions by PacBio’s methods. When<br />
considering PacBio SV calls, BioNano calls could validate all categories at a rate of 80‐90%. Thus,<br />
structural variation calling by next generation mapping is a fast, inexpensive, robust and accurate<br />
method that can be orthogonally validated in size bins that other methodologies are able to<br />
interrogate as well as provide novel SV information where other technologies are unable to<br />
interrogate.<br />
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