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Case Report

Utility of Optical Genome Mapping for Accurate Detection and Fine-Mapping of Structural Variants in Elusive Rare Diseases

by
Carmen Orellana
1,2,†,
Monica Rosello
1,2,†,
Amparo Sanchis
3,
Laia Pedrola
1,2,
Carla Martín-Grau
2,*,
Alba Gabaldón-Albero
2,
Maria Leonor Senent
4,5,6,
Esperanza Such
4,5,6,
Cristian García-Ruiz
5,
Gayane Avetisyan
5 and
Francisco Martínez
1,2,*
1
Genetics Unit, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
2
Traslational Genetics Research Group, Instituto de Investigación Sanitaria La Fe (IIS La Fe), 46026 Valencia, Spain
3
Pediatrics Service, Hospital Universitario Doctor Peset, 46017 Valencia, Spain
4
Hematology and Hemotherapy Service, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
5
Hematology Research Group, Instituto de Investigación Sanitaria La Fe (IIS La Fe), 46026 Valencia, Spain
6
Centro de Investigación Biomédica en Red en Cáncer (CIBERONC), Instituto de Salud Carlos III, 28029 Madrid, Spain
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Int. J. Mol. Sci. 2025, 26(3), 1244; https://doi.org/10.3390/ijms26031244
Submission received: 27 December 2024 / Revised: 27 January 2025 / Accepted: 29 January 2025 / Published: 31 January 2025
(This article belongs to the Section Molecular Genetics and Genomics)

Abstract

:
Rare diseases (RDs) often have a genetic basis, yet conventional diagnostic techniques fail to identify causative genetic variations in up to 50% of cases. Structural variants (SVs), including balanced rearrangements, frequently evade detection by karyotyping, microarray, and exome sequencing. The present study utilized optical genome mapping (OGM) to investigate two patients with RDs whose genetic etiology remained unresolved despite prior genomic analyses. Patient 1 exhibited a balanced reciprocal translocation disrupting the BCL11A gene, associated with Dias-Logan syndrome. Patient 2 had a mosaic 682 kb deletion near the IHH gene, causing ectopic enhancer–promoter interactions and polydactyly, mirroring phenotypes observed in mouse models and similar human cases. These findings highlight OGM’s efficacy in identifying complex SVs and underline novel pathogenic mechanisms in rare genetic disorders. Consequently, the incorporation of OGM into routine diagnostic procedures will enhance genetic diagnosis, discover new syndromes of currently unknown cause, and eventually improve the clinical management of numerous patients with rare diseases.

1. Introduction

Rare diseases (RDs) encompass conditions frequently associated with genetic factors. In the last decade, array analysis and whole exome sequencing have become broadly used for the genetic diagnosis of individuals with RDs. However, the diagnostic yield of these approaches, even when combined, only reaches at most 30% to 50% depending on the clinical cohort and the strategy used [1]. The inability to reach an etiological diagnosis causes emotional stress for both the family and clinicians, hindering appropriate familiar genetic counseling. It is assumed that this limited diagnostic yield is partly explained by the fact that some causal genetic variations remain elusive to these techniques. Disruption in critical genes or regulatory regions may underlie the genetic etiology of these RDs [2,3]. Balanced rearrangements and certain structural variants (SVs) often remain undetected by many genomic techniques, including karyotyping, microarray, and exome sequencing [4]. For instance, balanced reciprocal translocations are relatively common, with an estimated frequency of 0.25% [5]. While most balanced translocations are not a direct cause of disease, healthy carriers are at risk of having children with unbalanced translocations, which, in many cases, result in non-viable conditions or lead to severe phenotypic consequences in the offspring. However, in some cases, the disruption of a critical gene at the breakpoint regions can lead to significant phenotypic effects. Therefore, at least in the de novo rearrangements, it is crucial to define the breakpoints involved in structural rearrangements to determine if the coding sequence of a gene has been disrupted or if the critical position of remote regulatory elements—such as enhancers, repressors, or insulator sequences—has been altered, potentially deregulating the proper expression of a neighboring gene.
Optical genome mapping (OGM) is a powerful technique first described in 2009, designed to visualize and analyze the structure of entire genome at high resolution. OGM allows the detection of large-scale structural variations in DNA, as well as mosaic alterations that may be overlooked by other genetic analysis techniques. We performed OGM in two patients who remained genetically unsolved after prior genomic approaches failed to identify pathogenic variants. This study aimed to take a more comprehensive view into the genomic landscape of rare variants implicated in RDs using OGM. This technique has the potential to reveal novel mechanisms involving complex SVs that are often missed by standard genetic techniques.

2. Detailed Case Description

2.1. Brief Description of Patient 1

Patient 1 is a 5-year-old boy, the only child of a single-parent family, with no family history of neurodevelopmental disorders. The pregnancy was the result of in vitro fertilization by intracytoplasmic injection of donor sperm. During the pregnancy, mild polyhydramnios and dilatation of the right renal pelvis were detected. The patient was born at 41 weeks of gestation by cesarean section showing macrosomia, with birth weight of 4.540 g, length of 55 cm, head circumference of 37 cm, all three measurements exceeding the 97th percentile, according to International Standards for Newborn Weight [6]. Clinical findings also included a prominent forehead, bilateral strabismus, flattened nasal bridge, hydronephrosis of the right kidney, and dysplasia of the left kidney. At the follow-up, significant psychomotor and language delay became evident, accompanied thereafter by moderate intellectual disability. Cerebral MRI study showed no pathological findings. Peripheral blood karyotyping revealed a reciprocal translocation in the patient, which was not detected in the blood cells of either the mother or the sperm donor (46,XY,t(2;11)(p11.2;p13)dn) (Figure 1a). Array comparative genomic hybridization (CGH-array) analysis showed no abnormalities, indicating a balanced translocation without loss or gain of genetic material (array CGH 180 K Agilent Technologies, Santa Clara, CA, USA). Clinical exome sequencing was performed and did not reveal any significant findings (New Focused Exome v2; Agilent Technologies, Santa Clara, CA, USA). OGM analysis confirmed the translocation between chromosomes 2 and 11, redefining the breakpoint regions more precisely, from 46,XY,t(2;11)(p11.2;p13)—as identified in Karyotyping—to 46,XY,t(2;11)(p16.1;p15.4) (Figure 1b). While the breakpoint region identified on chromosome 11 did not encompass any gene with a clearly known function, this chromosomal rearrangement led to the disruption of the BCL11A gene located on chromosome 2. The sites surrounding the translocation breakpoint region are located at positions chr2:60,494,146, in the large intron 2 of the BCL11A gene, and chr11:3,362,963, in the intron 3 of the ZNF195 gene, respectively (ogm[GRCh38] t(2;11)(p16.1;p15.4)(60494146;3362963)) (Figure 1c). However, the uncertainty interval in chromosome 11 extends to intron 1 of the ZNF195 gene. No additional SVs with clinical relevance were identified.
Given the established role of the BCL11A gene in hemoglobin switching and fetal hemoglobin (HbF) silencing [7], hemoglobin electrophoresis and quantification were performed. The analysis revealed elevated HbF at 5% (normal < 0.5%) without other hematological abnormalities (Hb: 12.3 g/dL).
Combining cytogenetics, molecular analyses, clinical data, and HbF monitoring, this de novo translocation was considered pathogenic, suggesting Dias-Logan syndrome in the patient caused by BCL11A haploinsufficency.

2.2. Brief Description of Patient 2

Patient 2 is the third child of healthy non-consanguineous parents. She was born in 1983 with a polymalformative syndrome characterized by agenesis of the corpus callosum, minor facial dysmorphism, and complex polysyndactyly (mirror image of hands and feet) with a total of 33 fingers and toes, without thumbs, multiple joint abnormalities, and femoral shortening. A detailed description of the clinical phenotype was published in 1985 suggesting a new type of acrocallosal syndrome [8]. She is currently 41 years old, and the facial dysmorphism has become more pronounced over the years, including broad and prominent forehead, down slanting palpebral fissures, broad nasal root, short nose, long flattened philtrum, small mandible, and low-set dysplastic and posteriorly rotated ears. She has rhizomelic shortening of the lower limbs, normal muscle tone and mobility in her limbs, but is unable to stand or walk. She is severely intellectually disabled and is dependent for hygiene and feeding. Despite this, she demonstrates social interaction and limited language consisting of single words and simple phrases with echolalia. Behavioral problems include tantrums, phobias, and night terrors. Over the years, many genetic studies have been carried out on this patient to find the cause of the malformations. Cytogenetic analysis, including high resolution karyotyping and genomic array studies with two different approaches—a high-density oligo array (Affymetrix CytoScan HD SNP array, Life Technologies, Carlsbad, CA, USA) and CGH-array 160 K (Nimgenetics)—did not reveal any genetic abnormalities in the patient. Similarly, whole exome sequencing only identified a variant of unknown clinical significance, NM_001164405.2:c.305 C > A; p.(Ser102 Tyr) in the BHLHA9 gene, which was ruled out as causative after familial segregation analysis.
OGM study identified a mosaic heterozygous 682 kb deletion of the chromosomal region 2q35 (ogm[GRCh38] 2q35(219132322_219826404) x1), involving 30 different genes (NHEJ1, SLC23A3, CNPPD1, RETREG2, ZFAND2B, ABCB6, ATG9A, ANKZF1, GLB1L, STK16, TUBA4A, TUBA4B, DNAJB2, PTPRN, MIR153-1, RESP18, DNPEP, DNPEP-AS1, DES, SPEG, SPEGNB, GMPPA, ASIC4, CHPF, TMEM198, MIR3132, OBSL1, INHA, STK11IP, and SLC4A3) (Figure 2a). This mosaic alteration, with a variant allelic frequency of 0.27, had remained undetected in all previous genetic analysis, including genomic array studies. However, a posterior visual inspection of the region in the array confirmed a slight decrease in the signal intensity for all probes in the affected region, without reaching the threshold value established by the manufacturer for variant calling (Figure 2b).
This deletion is not reported in the population control databases (DGV). It should be noted that one of the breakpoints of the deleted region is located very close to the IHH gene (Indian Hedgehog). This deletion was considered as pathogenic on evidence from similar deletions or duplications near the IHH gene that have been previously associated with a highly similar phenotype.

3. Discussion

This study provides a more comprehensive assessment of the power of OGM to detect SVs implicated in rare diseases, which were previously missed by standard genetic techniques such as exome sequencing and microarray study, and even if SVs are known to be present, OGM provides higher resolution of the breakpoint and allows for a deeper understanding of the underlying molecular mechanism. In Patient 1, the BCL11A gene was disrupted by a balanced chromosomal translocation t(2;11). The BCL11A protein is a C2H2-type zinc-finger protein associated with the BAF SWI/SNF chromatin remodeling complex [13]. This gene plays a critical role in regulating the developmental switch from gamma to beta globin, hence indirectly repressing HbF levels, as well as in brain development [14]. Haploinsufficency of this gene, whether due to heterozygous truncating mutations or missense variants in the N-terminal region, has been proved to cause Dias-Logan syndrome [OMIM #617101]. This syndrome is characterized by intellectual disability, language delay, persistence of HbF, and variable dysmorphic features, including microcephaly [7]. The intellectual developmental disorder associated to the persistence of HbF observed in our patient confirms that the translocation results in a functional impairment of the BCL11A gene.
On the other hand, it is highly conceivable that as a result of the chromosomal translocation, two novel fusion transcripts may be formed, which may be pathogenic through different mechanisms, including the presence of a novel polypeptide that combines functional domains from two different genes and/or a putative dominant-negative effect due to the preservation of functional domains in partially truncated proteins [15]. The genes located at the breakpoints in Patient 1 are transcribed in the same sense, and exon 3 of the BCL11A gene starts in the same reading frame as exons 3 and 4 of the ZNF195 gene. On the other hand, if the breakpoint is located within intron 1, a frameshift would occur. We cannot rule out a putative contribution of one or both fusion transcripts to the phenotype, which might explain the clinical findings in our patient that have not been previously reported in Dias-Logan syndrome, namely macrosomia and renal abnormalities. Nonetheless, it remains uncertain whether these novel chimeric proteins are synthesized, whether they are not rapidly degraded in the cell, whether they are able to translocate from the cytoplasm into the nucleus, or even whether they in fact confer a pathogenic disturbance. In consequence, a possible contribution of the chimeric genes to the phenotype is highly hypothetical at this moment. In any case, the loss of exons 1 and 2 of the BCL11A gene (substituted by exons 1-3 of ZNF195) is expected to result in a loss of function, as it implies the loss of both the NuRD-interacting domain and a C2HC zinc-finger domain involved in protein–protein interaction [14]. It is worth noting that missense variants in these domains lead to a defective dimerization, localization, and transcriptional activity, clinically indistinguishable from those caused by a truncating variant [7].
OGM in Patient 2 identified a mosaic microdeletion of 682 kb in the chromosomal region 2q35, which affects 30 genes, and is located very close to the IHH gene. This mosaic alteration (estimated 27%) remained undetected by all previously used genetic analysis techniques. Array-based techniques, which are considered the gold standard for detecting copy number variants, are limited in their ability to identify low-grade mosaicisms, particularly in cases of small segmental aneusomies (less than 30%) [16]. In contrast, OGM is based on the identification and counting of individual DNA molecules and not on relative quantification, making it more efficient for detecting large-scale SVs. OGM demonstrates high sensitivity for low-frequency alterations, simplifies the interpretation of complex alterations, and operates independently of coverage or sequencing challenges associated with arrays and NGS. This renders OGM a valuable tool, especially for analyzing mosaics and SVs that are difficult to identify with other technologies. Although the deletion does not directly affect the IHH gene, it alters the genomic organization, potentially leading to ectopic interactions between enhancers and promoters, and causing aberrant gene expression patterns as previously suggested (Figure 2c). A very similar deletion in the nearby distal region of the IHH gene was identified in the Doublefoot (Dbf) mouse model [11]. This mutant mouse displays phenotypic features very similar to our Patient 2, including preaxial polydactyly with 6-9 triphalangeal digits on all four limbs, tibial hypoplasia, widened skull, hydrocephalus, and thickened curled tail. In humans, another comparable case was a female fetus with a microdeletion overlapping that of Patient 2, where the centromeric breakpoint is located 429 base pairs downstream of the transcription start site of the IHH gene [12] (Figure 2d). Clinical findings included, among other malformations, extensive polydactyly, with eight fingers on each hand with a mirror image of the right hand, seven fingers on the left foot and six fingers on the right foot with an enlarged hallux. Additionally, there is a remarkable clinical resemblance between Patient 2 and other individuals presenting features similar to acrocallosal syndrome. This individual exhibited extensive polysyndactyly of the hands and feet, craniofacial abnormalities including macrocephaly, agenesis of the corpus callosum, dysplastic and low-set ears, severe hypertelorism, and profound psychomotor delay caused by a large duplication involving the IHH locus [10] (Figure 2d).
Although haploinsufficiency of some of the genes contained in the deletion may partially contribute to the phenotype in the patient, none of them have been directly linked to polydactyly nor do they show constraint scores suggestive of being haploinsufficient (LOEUF < 0.3), and hence to be sensitive to heterozygous deletions [17]. Notably, the proximal breakpoint of the deletion in Patient 2 is located very close to the IHH gene. This gene encodes a member of the Hedgehog protein family, essential secreted signaling molecules that regulate a variety of developmental processes including growth, pattern formation and morphogenesis. The protein encoded by the IHH gene plays a specific role in bone growth and differentiation. Mutations in this gene are the cause of brachydactyly type A1, characterized by shortened or malformed fingers and toes, and acrocapitofemoral dysplasia. Furthermore, Lupiañez et al. [18], using CRISPR/Cas genome editing and expression studies in mouse limb tissue and patient-derived fibroblasts, demonstrated that disruption of TADs (Topologically Associated Domains) can rewire long-range regulatory architecture and result in pathogenic phenotypes. Their study revealed that distinct human limb malformations are caused by deletions, inversions or duplications altering the structure of the TAD-spanning WNT6/IHH/EPHA4/PAX3 locus. Several disease-relevant structural changes cause ectopic interactions between promoters and non-coding DNA, and a cluster of limb enhancers normally associated with EPHA4 is misplaced relative to TAD boundaries and drives ectopic limb expression of another gene in the locus. This rewiring occurred only when the variant disrupted a CTCF-associated boundary domain. Their findings underscore the functional importance of TADs in orchestrating gene expression via genome architecture and indicate criteria for predicting the pathogenicity of human structural variants, particularly in non-coding regions of the human genome. This robust experimental evidence has demonstrated that some SVs, depending on the size and position, may disrupt higher order genomic organization and result in pathogenic phenotypes.
It is highly relevant that, in spite of being in somatic mosaicism, the clinical features of Patient 2 closely resemble the phenotype of the Dbf mouse model caused by a similar deletion, as well as the acrocallosal-like syndrome resulting from IHH duplication. In particular, the polydactyly of the female fetus reported by Trimouille et al. [12] is the same as in Patient 2, with a mirror configuration of the fingers. Therefore, we hypothesize that the main pathophysiological effect of the deletion in this patient, even in mosaicism state, is the same: an ectopic interaction between the IHH gene and enhancers in the chromatin domain of EPHA4 due to a reorganization of the TAD boundaries. Our results reinforce the notion that the pathogenicity of some human disease-associated deletions results from ectopic enhancer–promoter interactions causing ectopic/dysregulated genic expression due to the elimination of annotated boundaries [19].
OGM holds great promise for improving the diagnosis of unresolved genetic disorders, especially in the identification of complex SVs or mosaic alterations that are challenging to detect using other techniques. However, its applicability is currently limited by high costs, the need for specialized equipment and trained personnel, as well as the necessity of integrating it with other technologies to obtain a complete view of the genome. Furthermore, accessibility in resource-limited settings remains a significant barrier, potentially hindering its integration in routine clinical practice in the short term.

4. Materials and Methods

4.1. Optical Genome Mapping

For OGM ultra-high molecular weight, DNA from peripheral blood samples was extracted, digested, and labeled following the manufacturer’s protocols (Bionano Genomics, Inc., San Diego, CA, USA). Labeled DNA was loaded on a Saphyr chip and run on a Saphyr instrument (Bionano Genomics, Inc., San Diego, CA, USA). The de novo genome map assembly was performed using BionanoSolve, and SVs were called against the human reference GRCh37 assembly. Data were analyzed with Bionano Access and Bionano Tools on Saphyr Compute Servers (Bionano Genomics, Inc., San Diego, CA, USA). A molecule quality report was generated for each data set and included three key metrics to evaluate sample QC: molecule N50 (≥150 kbp), map rate, and effective coverage. Molecule N50 is a weighted average of all molecules according to their sequence length and is used herein to assess the size distribution of DNA ≥ 150 kbp. The map rate metric is calculated as the fraction of the DNA molecules aligned to GRCh38. The effective coverage is calculated by the coverage depth of molecules aligned to the reference genome (GRCh38). Analytical QC targets were set to achieve 230 kbp of molecule N50 (≥150 kbp), ≥70% map rate, and ≥160X effective coverage of the genome.

4.2. Exome Sequencing

Patient and parental genomic DNA were obtained from peripheral blood leukocytes using standard methods. Exome sequencing was performed using the SureSelect Human All Exon V8 (Agilent Technologies, Santa Clara, CA, USA) and run on the Illumina NextSeq500 platform following the manufacturer’s protocol to obtain a minimum reading depth of 100X. Read alignments, variant calling, and annotations were performed on the Alissa Interpret platform (Agilent Technologies). Disease-causing genes related to neurodevelopmental disorders and candidate genes reported in different databases were analyzed. To evaluate the clinical impact and to assess the pathogenicity of the variants, previously reported criteria were used [20,21].

5. Conclusions

This study highlights the transformative potential of OGM in resolving elusive genetic etiologies in congenital rare diseases. In Patient 1, OGM precisely delineated a translocation disrupting BCL11A, linking it to Dias-Logan syndrome and extending the understanding of its phenotypic spectrum. In Patient 2, OGM identified a mosaic deletion proximal to the IHH gene, causing ectopic regulatory interactions and a phenotype resembling acrocallosal syndrome. These findings validate the utility of OGM in detecting SVs overlooked by conventional methods, providing crucial insights into the complex genomic architecture underlying rare disorders. Based on these illustrative examples, we propose that integrating OGM into routine diagnostic workflows will significantly enhance genetic diagnosis, facilitate the discovery of previously unidentified syndromes, and eventually improve the clinical management of patients with rare diseases through advanced personalized medicine.

Author Contributions

Conceptualization, C.O. and M.R.; methodology, G.A. and E.S.; software, C.G.-R.; validation, M.L.S. and E.S.; formal analysis, M.L.S. and E.S.; investigation, C.O. and M.R.; resources, C.G.-R.; data curation, C.O., M.R. and F.M.; visualization, L.P. and C.M.-G.; writing—original draft preparation, C.O., M.R. and A.S.; writing—review and editing, C.M.-G. and A.G.-A.; supervision, C.O. and M.R.; funding acquisition, L.P. and F.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Instituto de Salud Carlos III (ISCIII), grant number “PI22/01127” and “PI22/00272” and co-funded by the European Union.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of La Fe Health Research Institute (IIS La Fe) (protocol code 2022-294-1, approved on 19 October 2022).

Informed Consent Statement

Written informed consent was obtained from all subjects involved in this study and/or legal guardians/parents.

Data Availability Statement

Data are contained within this article.

Acknowledgments

We thank the families for their participation in this study.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
CGH-ArrayArray comparative genomic hybridization
HbFFetal hemoglobin
OGMOptical genome mapping
RDsRare diseases
SVsStructural variants
TADsTopologically Associated Domains

References

  1. Clark, M.M.; Stark, Z.; Farnaes, L.; Tan, T.Y.; White, S.M.; Dimmock, D.; Kingsmore, S.F. Meta-analysis of the diagnostic and clinical utility of genome and exome sequencing and chromosomal microarray in children with suspected genetic diseases. Genom. Med. 2018, 3, 16. [Google Scholar] [CrossRef]
  2. Hu, L.; Liang, F.; Cheng, D.; Zhang, Z.; Yu, G.; Zha, J.; Wang, Y.; Xia, Q.; Yuan, D.; Tan, Y.; et al. Location of Balanced Chromosome-Translocation Breakpoints by Long-Read Sequencing on the Oxford Nanopore Platform. Front. Genet. 2020, 10, 1313. [Google Scholar] [CrossRef]
  3. Gribble, S.M.; Prigmore, E.; Burford, D.C.; Porter, K.M.; Ng, B.L.; Douglas, E.J.; Fiegler, H.; Carr, P.; Kalaitzopoulos, D.; Clegg, S.; et al. The complex nature of constitutional de novo apparently balanced translocations in patients presenting with abnormal phenotypes. J. Med. Genet. 2005, 42, 8–16. [Google Scholar] [CrossRef] [PubMed]
  4. Kadlubowska, M.K.; Schrauwen, I. Methods to Improve Molecular Diagnosis in Genomic Cold Cases in Pediatric Neurology. Genes 2022, 13, 333. [Google Scholar] [CrossRef] [PubMed]
  5. Jacobs, P.A.; Browne, C.; Gregson, N.; Joyce, C.; White, H. Estimates of the frequency of chromosome abnormalities detectable in unselected newborns using moderate levels of banding. J. Med. Genet. 1992, 29, 103–108. [Google Scholar] [CrossRef] [PubMed]
  6. Villar, J.; Ismail, L.C.; Victora, C.G.; Ohuma, E.O.; Bertino, E.; Altman, D.G.; Lambert, A.; Papageorghiou, A.T.; Carvalho, M.; Jaffer, Y.A. International standards for newborn weight, length, and head circumference by gestational age and sex: The Newborn Cross-Sectional Study of the INTERGROWTH-21st Project. Lancet 2014, 384, 857–868. [Google Scholar] [CrossRef]
  7. Dias, C.; Estruch, S.B.; Graham, S.A.; McRae, J.; Sawiak, S.J.; Hurst, J.A.; Joss, S.K.; Holder, S.E.; Morton, J.E.V.; Turner, C.; et al. BCL11A Haploinsufficiency Causes an Intellectual Disability Syndrome and Dysregulates Transcription. Am. J. Hum. Genet. 2016, 99, 253–274. [Google Scholar] [CrossRef]
  8. Sanchis, A.; Cervero, L.; Martinez, A.; Valverde, C. Duplication of hands and feet, multiple joint dislocations, absence of corpus callosum and hypsarrhythmia: Acrocallosal syndrome? Am. J. Med. Genet. 1985, 20, 123–130. [Google Scholar] [CrossRef]
  9. Rao, S.S.P.; Huntley, M.H.; Durand, N.C.; Stamenova, E.K.; Bochkov, I.D.; Robinson, J.T.; Sanborn, A.L.; Machol, I.; Omer, A.D.; Sander, E.S.; et al. A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping. Cell 2014, 159, 1665–1680. [Google Scholar] [CrossRef]
  10. Yuksel-Apak, M.; Bögershausen, N.; Pawlik, B.; Li, Y.; Apak, S.; Uyguner, O.; Milz, E.; Nürnberg, G.; Karaman, B.; Gülgören, A.; et al. A large duplication involving the IHH locus mimics acrocallosal syndrome. Eur. J. Hum. Genet. 2012, 20, 639–644. [Google Scholar] [CrossRef]
  11. Babbs, C.; Furniss, D.; Morriss-Kay, G.M.; Wilkie, A.O.M. Polydactyly in the mouse mutant Doublefoot involves altered Gli3 processing and is caused by a large deletion in cis to Indian hedgehog. Mech. Dev. 2008, 125, 517–526. [Google Scholar] [CrossRef] [PubMed]
  12. Trimouille, A.; Tingaud-Sequeira, A.; Pennamen, P.; André, G.; Bouron, J.; Boucher, C.; Fergelot, P.; Lacombe, D.; Arveiler, B.; Rooryck, C. Deletion in 2q35 excluding the IHH gene leads to fetal severe limb anomalies and suggests a disruption of chromatin architecture. Eur. J. Hum. Genet. 2019, 27, 384–388. [Google Scholar] [CrossRef] [PubMed]
  13. Sokpor, G.; Xie, Y.; Rosenbusch, J.; Tuoc, T. Chromatin remodeling BAF (SWI/SNF) complexes in neural development and disorders. Front. Mol. Neurosci. 2017, 10, 243. [Google Scholar] [CrossRef] [PubMed]
  14. Simon, R.; Wiegreffe, C.; Britsch, S. Bcl11 Transcription Factors Regulate Cortical Development and Function. Front. Mol. Neurosci. 2020, 13, 51. [Google Scholar] [CrossRef] [PubMed]
  15. Mayo, S.; Monfort, S.; Roselló, M.; Orellana, C.; Oltra, S.; Caro-Llopis, A.; Martínez, F. Chimeric Genes in Deletions and Duplications Associated to Intellectual Disability. Int. J. Genom. 2017, 2017, 4798474. [Google Scholar] [CrossRef]
  16. Scott, S.A.; Cohen, N.; Brandt, T.; Toruner, G.; Desnick, R.J.; Edelmann, L. Detection of low-level mosaicism and placental mosaicism by oligonucleotide array comparative genomic hybridization. Genet. Med. 2010, 12, 85–92. [Google Scholar] [CrossRef]
  17. Gudmundsson, S.; Singer-Berk, M.; Watts, N.A.; Phu, W.; Goodrich, J.K.; Solomonson, M.; Genome Aggregation Database Consortium; Rehm, H.L.; MacArthur, D.G.; O’Donnell-Luria, A. Variant interpretation using population databases: Lessons from gnomAD. Hum. Mutat. 2022, 43, 1012–1030. [Google Scholar] [CrossRef]
  18. Lupiáñez, D.G.; Kraft, K.; Heinrich, V.; Krawitz, P.; Brancati, F.; Klopocki, E.; Horn, D.; Kayserili, H.; Opitz, J.M.; Laxova, R.; et al. Disruptions of Topological Chromatin Domains Cause Pathogenic Rewiring of Gene-Enhancer Interactions. Cell 2016, 161, 1012–1025. [Google Scholar] [CrossRef]
  19. Ibn-Salem, J.; Köhler, S.; Love, M.I.; Chung, H.R.; Huang, N.; Hurles, M.E.; Haendel, M.; Washington, N.L.; Smedley, D.; Mungall, C.J.; et al. Deletions of chromosomal regulatory boundaries are associated with congenital disease. Genome Biol. 2014, 15, 423. [Google Scholar] [CrossRef]
  20. Martínez, F.; Caro-Llopis, A.; Roselló, M.; Oltra, S.; Mayo, S.; Monfort, S.; Orellana, C. High diagnostic yield of syndromic intellectual disability by targeted next-generation sequencing. J. Med. Genet. 2017, 54, 87–92. [Google Scholar] [CrossRef]
  21. Richards, S.; Aziz, N.; Bale, S.; Bick, D.; Das, S.; Gastier-Foster, J.; Grody, W.W.; Hegde, M.; Lyon, E.; Spector, E.; et al. Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet. Med. 2015, 17, 405–424. [Google Scholar] [CrossRef]
Figure 1. Genetic analyses performed on Patient 1. (a) G-banding karyotyping and optical genome mapping results. The ideograms next to chromosomes 2 and 11 indicate the location of two breakpoints: those initially proposed from the G-banding sequence t(2;11)(p11.2;p13) and those confirmed as the true breakpoints by optical genome mapping t(2;11)(p16.1;p15.4). (b) Circus plot shows a pink line connecting chromosome 2 and chromosome 11, which represents the balanced translocation between them. (c) The genome map view illustrates the balanced translocation (ogm[GRCh38]t(2;11)(p16.1;p15.4)(60494146;3362963)). The breakpoint on chromosome 2 is located within the BCL11A gene.
Figure 1. Genetic analyses performed on Patient 1. (a) G-banding karyotyping and optical genome mapping results. The ideograms next to chromosomes 2 and 11 indicate the location of two breakpoints: those initially proposed from the G-banding sequence t(2;11)(p11.2;p13) and those confirmed as the true breakpoints by optical genome mapping t(2;11)(p16.1;p15.4). (b) Circus plot shows a pink line connecting chromosome 2 and chromosome 11, which represents the balanced translocation between them. (c) The genome map view illustrates the balanced translocation (ogm[GRCh38]t(2;11)(p16.1;p15.4)(60494146;3362963)). The breakpoint on chromosome 2 is located within the BCL11A gene.
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Figure 2. Genetic analyses performed on Patient 2. (a) Optical genome mapping results. The genome map view shows a heterozygous 682,108 bp deletion overlapping 30 genes, with the nearest non-overlap gene being IHH (ogm[GRCh38] 2q35(219132322_219826404)x1). The allele frequency of 0.27 suggests a mosaic condition. (b) Results from the high-resolution genomic array (Affymetrix CytoScan HD SNP array). Image of chromosome 2 shows only a slight decrease in probes in the deletion region, without reaching significant values. (c) Hi-C data from Rao et al. [9] (GM12878 cell line, 10 kb resolution). This region encompasses several topologically associated domains (TADs), with the predicted TAD unions marked by blue arrows. The horizontal black bar at the bottom represents the deleted region in Patient 2, showing that this deletion could eliminate one of the TAD junctions or insulators in that region. The image was obtained from the UCSC Genome Browser on Human (GRCh37/hg19) with a converted genomic coordinate (chr2:219997044-220691125). (d) Genomic overview of the deleted region on chromosome 2q35 shows the genomic regions affected in other published cases with a similar phenotype [10,11,12]. The red bars represent deletions, and the blue bar represents duplication. The vertical dashed line indicates the 5′ end of the IHH gene, showing that only the duplication described by Yuksel-Apak [10] directly affects the IHH gene, while the deletions have breakpoints that impact different regions of the NHEJ1 gene, located distally but very close to IHH.
Figure 2. Genetic analyses performed on Patient 2. (a) Optical genome mapping results. The genome map view shows a heterozygous 682,108 bp deletion overlapping 30 genes, with the nearest non-overlap gene being IHH (ogm[GRCh38] 2q35(219132322_219826404)x1). The allele frequency of 0.27 suggests a mosaic condition. (b) Results from the high-resolution genomic array (Affymetrix CytoScan HD SNP array). Image of chromosome 2 shows only a slight decrease in probes in the deletion region, without reaching significant values. (c) Hi-C data from Rao et al. [9] (GM12878 cell line, 10 kb resolution). This region encompasses several topologically associated domains (TADs), with the predicted TAD unions marked by blue arrows. The horizontal black bar at the bottom represents the deleted region in Patient 2, showing that this deletion could eliminate one of the TAD junctions or insulators in that region. The image was obtained from the UCSC Genome Browser on Human (GRCh37/hg19) with a converted genomic coordinate (chr2:219997044-220691125). (d) Genomic overview of the deleted region on chromosome 2q35 shows the genomic regions affected in other published cases with a similar phenotype [10,11,12]. The red bars represent deletions, and the blue bar represents duplication. The vertical dashed line indicates the 5′ end of the IHH gene, showing that only the duplication described by Yuksel-Apak [10] directly affects the IHH gene, while the deletions have breakpoints that impact different regions of the NHEJ1 gene, located distally but very close to IHH.
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Orellana, C.; Rosello, M.; Sanchis, A.; Pedrola, L.; Martín-Grau, C.; Gabaldón-Albero, A.; Senent, M.L.; Such, E.; García-Ruiz, C.; Avetisyan, G.; et al. Utility of Optical Genome Mapping for Accurate Detection and Fine-Mapping of Structural Variants in Elusive Rare Diseases. Int. J. Mol. Sci. 2025, 26, 1244. https://doi.org/10.3390/ijms26031244

AMA Style

Orellana C, Rosello M, Sanchis A, Pedrola L, Martín-Grau C, Gabaldón-Albero A, Senent ML, Such E, García-Ruiz C, Avetisyan G, et al. Utility of Optical Genome Mapping for Accurate Detection and Fine-Mapping of Structural Variants in Elusive Rare Diseases. International Journal of Molecular Sciences. 2025; 26(3):1244. https://doi.org/10.3390/ijms26031244

Chicago/Turabian Style

Orellana, Carmen, Monica Rosello, Amparo Sanchis, Laia Pedrola, Carla Martín-Grau, Alba Gabaldón-Albero, Maria Leonor Senent, Esperanza Such, Cristian García-Ruiz, Gayane Avetisyan, and et al. 2025. "Utility of Optical Genome Mapping for Accurate Detection and Fine-Mapping of Structural Variants in Elusive Rare Diseases" International Journal of Molecular Sciences 26, no. 3: 1244. https://doi.org/10.3390/ijms26031244

APA Style

Orellana, C., Rosello, M., Sanchis, A., Pedrola, L., Martín-Grau, C., Gabaldón-Albero, A., Senent, M. L., Such, E., García-Ruiz, C., Avetisyan, G., & Martínez, F. (2025). Utility of Optical Genome Mapping for Accurate Detection and Fine-Mapping of Structural Variants in Elusive Rare Diseases. International Journal of Molecular Sciences, 26(3), 1244. https://doi.org/10.3390/ijms26031244

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