Toward highly accurate and fast variant and de novo mutation identification from high-throughput sequencing data by joint Bayesian family calling

Authors

  • Francisco M. De La Vega Real Time Genomics Inc., San Bruno
  • Mehul Rathod Real Time Genomics Inc., San Bruno
  • Richard Littin Real Time Genomics, Inc.
  • Len Trigg Real Time Genomics Inc., San Bruno
  • John G. Cleary Real Time Genomics Inc., San Bruno

DOI:

https://doi.org/10.14806/ej.19.A.618

Abstract

Our results suggest that joint family calling produces more accurate calls than singleton calling and allows for the assessment of de novo mutation candidates with much less noise. We illustrate the impact of an improved call set in the downstream interpretation analysis of a simulated cased from the literature, and a real case from a cardio-pulmonary syndrome. We believe the analytical advances we present are crucial for the clinical adoption of genome and exome sequence data in family disease studies and beyond.

Author Biographies

  • Francisco M. De La Vega, Real Time Genomics Inc., San Bruno
    VP of Genome Science
  • John G. Cleary, Real Time Genomics Inc., San Bruno
    Chief Technollogy Officer

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Published

2013-04-08

Issue

Section

Oral Presentations