Germline Variant Call Accuracy in Whole Genome Sequence Data from Canine Formalin-Fixed Paraffin-Embedded Tissue Samples.

Background/objectives Fresh frozen (FF) samples are routinely used to isolate high-molecular-weight intact genomic DNA. However, when FF samples are not available, archived formalin-fixed paraffin-embedded (FFPE) tissue samples often represent the only available material in clinical research. Due to formaldehyde-induced degradation of nucleic acids they pose special challenges for genetic investigations. In this study we compare whole-genome sequencing results on intact DNA versus fragmented DNA derived from FFPE samples of three dogs.Methods We prepared matched libraries from FF and FFPE samples of three dogs affected by an inherited disease, EFNB3-related congenital mirror movement disorder 1 (CMM1). Paired-end short-read sequencing data were obtained on an Illumina sequencer and analyzed with adapted workflows for FF or FFPE data, respectively.Results The data between FF and FFPE samples were largely consistent. FF data showed a superior variant call accuracy, as expected. However, the data quality from the FFPE samples was sufficient to correctly identify the causal variant in EFNB3.Conclusions This pilot study demonstrates the feasibility of using FFPE samples from dogs for whole-genome sequencing and the detection of germline variants. Using FFPE samples in the analysis of suspected inherited diseases in domestic animals may represent a valuable approach in veterinary genetics if no other samples are available.

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2025-11-11
DOI
https://doi.org/10.48620/92904
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Germline Variant Call Accuracy in Whole Genome Sequence Data from Canine Formalin-Fixed Paraffin-Embedded Tissue Samples.

Open Access CRIS of the University of Bern
Genomics and Rare Diseases
article

Germline Variant Call Accuracy in Whole Genome Sequence Data from Canine Formalin-Fixed Paraffin-Embedded Tissue Samples.

article en

Abstract

Background/objectives Fresh frozen (FF) samples are routinely used to isolate high-molecular-weight intact genomic DNA. However, when FF samples are not available, archived formalin-fixed paraffin-embedded (FFPE) tissue samples often represent the only available material in clinical research. Due to formaldehyde-induced degradation of nucleic acids they pose special challenges for genetic investigations. In this study we compare whole-genome sequencing results on intact DNA versus fragmented DNA derived from FFPE samples of three dogs.Methods We prepared matched libraries from FF and FFPE samples of three dogs affected by an inherited disease, EFNB3-related congenital mirror movement disorder 1 (CMM1). Paired-end short-read sequencing data were obtained on an Illumina sequencer and analyzed with adapted workflows for FF or FFPE data, respectively.Results The data between FF and FFPE samples were largely consistent. FF data showed a superior variant call accuracy, as expected. However, the data quality from the FFPE samples was sufficient to correctly identify the causal variant in EFNB3.Conclusions This pilot study demonstrates the feasibility of using FFPE samples from dogs for whole-genome sequencing and the detection of germline variants. Using FFPE samples in the analysis of suspected inherited diseases in domestic animals may represent a valuable approach in veterinary genetics if no other samples are available.

Open Access CRIS of the University of Bern
Faculty of Public Health (GB)
Openalex Percentile: Top 30%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.