
VALUE OF OPTICAL GENOME MAPPING (OGM) FOR DIAGNOSTICS OF RARE DISEASES: A FAMILY CASE REPORT Kovanda A1,2, Miljanović O3, Lovrečić L1,2, Maver A1,2, Hodžić A1,2, Peterlin B1,2,* *Corresponding Author: *Corresponding Author: Prof. Borut Peterlin, Clinical Institute of Genomic Medicine, University
Medical Centre Ljubljana, Šlajmerjeva 4, 1000 Ljubljana, Slovenia. borut.peterlin@kclj.si page: 87
|
MATERIALS AND METHODS
Patients
Two undiagnosed male siblings with an overlapping
clinical presentation of thrombocytopenia, sacro-coccy-
geal teratoma, hydronephrosis/reflux vesicoureteral and
obesity, who were referred to the CGMI, CCM, Monte-
negro, were enrolled in this family case-report.
Clinical data was collected during the patients’ in-
person appointments and evaluation by clinical geneticist
at the CGMI, CCM, and all specialist examinations, were
performed as part of standard routine clinical care. Before
genetic testing, pre-test genetic counseling was provided by
a clinical geneticist, followed by obtaining written parental
consent at the CGMI, CCM. All procedures in the study were
conducted according to the routine standard of care and in
accordance with the principles of the Declaration of Helsinki.
Karyotyping was performed at the CGMI, CCM, while mi-
croarray analyses, exome sequencing and optical genome
mapping were performed at the CIGM, UMCL, Slovenia.
Karyotype
Chromosome analysis was performed for both pro-
bands, by using G-bended karyotyping (bend resolution
400 – 470, according to ISCN), after 72 hours of peripheral
blood cultivation.
Microarray analyses
Microarray analysis was initially performed on the
probands and their parents by using oligonucleotide ar-
ray Agilent Technologies 4×180K (AMADID:035689),
according to the manufacturer’s instructions. Agilent Cy-
toGenomics 5.1.2.1 software was used to visualize and
report the CNVs, as previously described 12.
Exome sequencing
Exome sequencing of proband 1 and proband 2 with
parents in trio setup was performed as previously described
13,14, and included the analysis of a total of >2000 genes
associated with the clinical phenotype of the probands. The full list of genes for each of the included gene panels
is available in the Supplement.
Optical genome mapping
Optical genome mapping was performed as previ-
ously described12. Briefly, high-weight molecular DNA
was extracted from 1.5 million lymphocytes from whole
blood (EDTA collected) using the SP Blood & Cell Culture
DNA Isolation Kit or the SP-G2 Blood & Cell Culture
DNA Isolation Kit following manufacturer instructions
(Bionano Genomics Inc., San Diego USA). The follow-
ing day, DNA molecules were labeled with the DLE-1
enzyme using the Direct Label and Stain (DLS) Kit or
Direct Label and Stain-G2 (GLS-G2) kit (Bionano Genom-
ics Inc.). Labeled DNA was loaded on the three-flowcell
Saphyr Chip® G2.2 or G2.3 (Bionano Genomics Inc.)
and ran on the Saphyr instrument (Bionano Genomics
Inc.) to reach a minimum yield of 500 Gbp (DLE-1 label,
[GRCh38] reference genome). The de novo assembly and
Variant Annotation Pipeline were executed on Bionano
Solve3.7_20221013_25 while reporting and direct visual-
ization of SVs was done on Bionano Access 1.7.2.
Variant interpretation
We reported only those genomic variants that have
statistical support based on the adequate genomic cover-
age and chosen analysis type for the detection of CNV,
duplications, deletions, and other SVs such as insertions,
inversion, intra- and inter-chromosomal translocations, as
determined by internal Access QC parameters. The method
does not enable the analysis of regions that do not contain
DLE-1 labeling sites (centromeres, telomeres, and other
heterochromatin regions). According to the ACMG and
ClinGen guidelines15, CNV variants are classified into
one of five classes of pathogenicity based on the sum of
points in each category of assessment, and were classi-
fied by comparison with their overlap with SV and CNV
variants contained in the DGV (Database of Genomic
Variants - http://dgv.tcag.ca/gb2/gbrowse/dgv2_hg19/ )16,
gnomAD (genome Aggregation Database - https://gno-
mad.broadinstitute.org/), OGM (Bionano Genomics Inc.
internal Access® database), ClinGen (Clinical Genome
Resource Consortium) (https://dosage.clinicalgenome.
org/), DECIPHER (https://www.deciphergenomics.org/),
and/or ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/)
public databases and the CIGM genomic variant database.
OGM results are given according to the genome mapping
nomenclature as specified in the ISCN guidelines17.
Visualization and figure preparation
Figure 1 was prepared from original visualizations
generated by Bionano Access 1.7.2 software (Bionano),
segregation, and optical genome mapping, respectively. The final composite Figure 1 was technically prepared
in terms of size, layout, format, and type of file with no
modification to the original data, from the original vi-
sualizations, by using GIMP 2.1018. The pedigree was
constructed and drawn using (Progeny Clinical Version
N/Progeny Lab Version N) (Progeny Genetics LLC, Aliso
Viejo, CA, www.progenygenetics.com).
|
|
|
|



 |
Number 27 VOL. 27 (2), 2024 |
Number 27 VOL. 27 (1), 2024 |
Number 26 Number 26 VOL. 26(2), 2023 All in one |
Number 26 VOL. 26(2), 2023 |
Number 26 VOL. 26, 2023 Supplement |
Number 26 VOL. 26(1), 2023 |
Number 25 VOL. 25(2), 2022 |
Number 25 VOL. 25 (1), 2022 |
Number 24 VOL. 24(2), 2021 |
Number 24 VOL. 24(1), 2021 |
Number 23 VOL. 23(2), 2020 |
Number 22 VOL. 22(2), 2019 |
Number 22 VOL. 22(1), 2019 |
Number 22 VOL. 22, 2019 Supplement |
Number 21 VOL. 21(2), 2018 |
Number 21 VOL. 21 (1), 2018 |
Number 21 VOL. 21, 2018 Supplement |
Number 20 VOL. 20 (2), 2017 |
Number 20 VOL. 20 (1), 2017 |
Number 19 VOL. 19 (2), 2016 |
Number 19 VOL. 19 (1), 2016 |
Number 18 VOL. 18 (2), 2015 |
Number 18 VOL. 18 (1), 2015 |
Number 17 VOL. 17 (2), 2014 |
Number 17 VOL. 17 (1), 2014 |
Number 16 VOL. 16 (2), 2013 |
Number 16 VOL. 16 (1), 2013 |
Number 15 VOL. 15 (2), 2012 |
Number 15 VOL. 15, 2012 Supplement |
Number 15 Vol. 15 (1), 2012 |
Number 14 14 - Vol. 14 (2), 2011 |
Number 14 The 9th Balkan Congress of Medical Genetics |
Number 14 14 - Vol. 14 (1), 2011 |
Number 13 Vol. 13 (2), 2010 |
Number 13 Vol.13 (1), 2010 |
Number 12 Vol.12 (2), 2009 |
Number 12 Vol.12 (1), 2009 |
Number 11 Vol.11 (2),2008 |
Number 11 Vol.11 (1),2008 |
Number 10 Vol.10 (2), 2007 |
Number 10 10 (1),2007 |
Number 9 1&2, 2006 |
Number 9 3&4, 2006 |
Number 8 1&2, 2005 |
Number 8 3&4, 2004 |
Number 7 1&2, 2004 |
Number 6 3&4, 2003 |
Number 6 1&2, 2003 |
Number 5 3&4, 2002 |
Number 5 1&2, 2002 |
Number 4 Vol.3 (4), 2000 |
Number 4 Vol.2 (4), 1999 |
Number 4 Vol.1 (4), 1998 |
Number 4 3&4, 2001 |
Number 4 1&2, 2001 |
Number 3 Vol.3 (3), 2000 |
Number 3 Vol.2 (3), 1999 |
Number 3 Vol.1 (3), 1998 |
Number 2 Vol.3(2), 2000 |
Number 2 Vol.1 (2), 1998 |
Number 2 Vol.2 (2), 1999 |
Number 1 Vol.3 (1), 2000 |
Number 1 Vol.2 (1), 1999 |
Number 1 Vol.1 (1), 1998 |
|
|