Identification of Pathogenic Structural Variants in Rare Disease Patients through Genome Sequencing

Author:

Holt James M.ORCID,Birch Camille L.,Brown Donna M.,Gajapathy Manavalan,Sosonkina Nadiya,Wilk BrandonORCID,Wilk Melissa A.,Spillmann Rebecca C.,Stong NicholasORCID,Lee HaneORCID,Huang Alden Y.,Bonner DevonORCID,Kohler Jennefer N.ORCID,Macnamara Ellen F.ORCID,Nelson Stanley F.ORCID,Shashi VandanaORCID,Worthey Elizabeth A.,

Abstract

AbstractPurposeClinical whole genome sequencing is becoming more common for determining the molecular diagnosis of rare disease. However, standard clinical practice often focuses on small variants such as single nucleotide variants and small insertions/deletions. This leaves a wide range of larger “structural variants” that are not commonly analyzed in patients.MethodsWe developed a pipeline for processing structural variants for patients who received whole genome sequencing through the Undiagnosed Diseases Network (UDN). This pipeline called structural variants, stored them in an internal database, and filtered the variants based on internal frequencies and external annotations. The remaining variants were manually inspected and then interesting findings were reported as research variants to clinical sites in the UDN.ResultsOf 477 analyzed UDN cases, 286 cases (≈ 60%) received at least one structural variant as a research finding. The variants in 16 cases (≈ 4%) are considered “Certain” or “Highly likely” molecularly diagnosed and another 4 cases are currently in review. Of those 20 cases, at least 13 were identified originally through our pipeline with one finding leading to identification of a new disease. As part of this paper, we have also released the collection of variant calls identified in our cohort along with heterozygous and homozygous call counts. This data is available at https://github.com/HudsonAlpha/UDN_SV_export.ConclusionStructural variants are key genetic features that should be analyzed during routine clinical genomic analysis. For our UDN patients, structural variants helped solve ≈ 4% of the total number of cases (≈ 13% of all genome sequencing solves), a success rate we expect to improve with better tools and greater understanding of the human genome.

Publisher

Cold Spring Harbor Laboratory

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