Detection Of Genomic Rearrangements Research Articles

Abstract 1763: Long-read sequencing of pediatric leukemia identifies clinically relevant genomic rearrangements

Abstract Clinical detection of genomic rearrangements currently depends on a range of complementary and overlapping methods including fluorescence in situ hybridization (FISH), karyotyping, and DNA and/or RNA sequencing. This requirement for multiple tests results in higher total costs, extended analysis time, and increased usage of sometimes limited tumor material. In our laboratory, we apply long high-fidelity reads to human samples using PacBio circular consensus sequencing (HiFi-GS) of 12-18kb DNA fragments, which offers better structural variant detection relative to short-read sequencing. Here, we assess the ability of HiFi-GS to detect clinically relevant genomic rearrangements (CRGRs) in pediatric leukemia. We selected 11 pediatric leukemia cases with corresponding normal (remission) samples, including 7 cases of B-cell acute lymphoblastic leukemia (B-ALL) and 4 cases of acute myeloid leukemia (AML); 5 of these 11 leukemia cases had known CRGRs as below. The remaining 6 leukemia cases had also undergone clinical genetic profiling via karyotyping, FISH, microarray, and sequencing yet a clinical grade genomic driver was not identified. DNA from each sample was sequenced on a Revio instrument (PacBio, Menlo Park, CA) to a target depth of 30x. The PacBio Human Whole Genome Sequencing (WGS) workflow was used to process HiFi reads for haplotagged alignment and phasing, followed by somatic structural variant calling using Severus. Subsequent analysis focused on the presence of break ends in known cancer-relevant genes. We found that HiFi-GS detected the known CRGRs in all 5 cases with prior findings, providing precise break ends and clarifying sometimes unclear cytogenetic observations (such as exact partner genes), in these cases. These included detection of an ETV6-RUNX1 fusion, NUP98-NSD1 fusion, KMT2A-AFF1 fusion, KMT2A-AFDN fusion, and RUNX1-RUNX1T1 fusion. HiFi sequencing also detected CRGRs in 2 of the 6 “undiagnosed cases”; namely, one case of ZNF384-TCF3 fusion and one case of KMT2A-MLLT10 fusion. The former can be cytogenetically cryptic, while the latter can often be missed due to its potentially complex nature. Our results demonstrate that HiFi-GS can reliably detect CRGRs, bringing us closer to the promise of a single comprehensive genetic test for cancer characterization. Additional work examining other somatic structural and copy number variants (i.e., inversions, deletions, and duplications) in these cases, as well as oncogenic sequence variants, is ongoing. Citation Format: Byunggil Yoo, Ayse Keskus, Chengpeng Bi, Lisa Lansdon, Tanveer Ahmad, Irina Pushel, Adam Walter, Margaret Gibson, Erin Guest, Tomi Pastinen, Mikhail Kolmogorov, Midhat S. Farooqi. Long-read sequencing of pediatric leukemia identifies clinically relevant genomic rearrangements [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1763.

Does chromosome 16p12.1-p12.2 harbor a novel gene for essential tremor? (P5-11.012)

<h3>Objective:</h3> To describe a patient with de novo duplication of 16p12.1-p12.2 associated with severe action tremor and developmental delay, and genetic analysis of candidate genes within the duplicated chromosomal segment. <h3>Background:</h3> A family history of essential tremor (ET) can be found in 30–80% of all affected patients, suggesting a strong genetic contribution to its etiology. However, discovery of disease-causing genes has been largely elusive. Candidate genes can be identified using linkage analysis, whole exome or genome sequencing, and genetic association studies. Detection of genomic rearrangements with gene dosage changes in tremor patients provides another unique opportunity to identify additional candidate genes. <h3>Design/Methods:</h3> Case report and genetic analysis of the candidate chromosomal region. Chromosomal microarray analysis was performed in patient and both parents. We designed PCR primers for all coding exons of selected candidate genes. We included 75 unrelated probands from kindreds with familiar ET. Candidate genes were sequenced in all ET controls. <h3>Results:</h3> The proband is a 20-year-old female with significant developmental delay who developed progressive tremor at age of 15 years. Her tremor was a moderate to severe 4–5 Hz postural and action distal tremor, not present at rest, minimally responsive to propranolol. Additional examination revealed diffusely brisk reflexes with positive Hoffman and cross adductor sign, and upgoing toes. MRI brain did not show evidence of hypomyelination. She underwent chromosomal microarray analysis that identified duplications 12p13.33 and 16p12.2-p12.1. Chromosome 12p duplication was also detected in her father. Duplication of 12p was considered nonpathogenic and duplication 16p was <i>de novo</i>. The duplicated segment on chromosome 16p contained eight genes and six were considered possible candidate for tremor: <i>UQCRC2</i>, <i>CDR2</i>, <i>EEF2K</i>, <i>POLR3A</i>, <i>LOG23117</i>, and c16orf65. No putative deleterious mutations have been identified in ET controls. <h3>Conclusions:</h3> We report identification and genetic analysis of six novel candidate genes on chromosome 16p12.1-p12.2 that may be associated with ET. <b>Disclosure:</b> Dr. D’Aguiar Rosa has nothing to disclose. Dr. Yousaf has nothing to disclose. Dr. Hedera has received personal compensation in the range of $500-$4,999 for serving on a Scientific Advisory or Data Safety Monitoring board for Alexion. Dr. Hedera has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Abbvie. Dr. Hedera has received personal compensation in the range of $5,000-$9,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for University of Louisville.

Abstract 1271: Detection of ALK, ROS1 and RET fusion transcripts in FFPE samples of non-small cell lung cancer patients using a novel RT-PCR based assay

Abstract Background and objective: Detection of genomic rearrangements like ALK fusions are mandatory in non-small cell lung cancer (NSCLC) as those alterations can be targeted by an increasing number of drugs. Fluorescence in-situ hybridization (FISH) is the gold standard but multiplexed technologies allow the analysis of several targets simultaneously. We have evaluated a novel RT-PCR based assay for the detection of ALK, ROS1 and RET rearrangement in NSCLC patients in this research study. Materials and Methods: FFPE tissue sections from 309 patients with late stage NSCLC were screened for ALK and ROS1 status using immunohistochemistry (IHC) and confirmed with FISH. Total nucleic acids were extracted from tissue sections using the Maxwell RSC RNA FFPE kit (Promega). Fusions were detected by RT-PCR using a prototype ALK/RET/ROS1 Fusion Panel assay (Roche). A subset of discordant cases were further analyzed by RNA sequencing using the QIAseq Targeted RNAscan Lung Cancer Panel (Qiagen). Results: All 309 samples were tested by RT-PCR with a 0% invalid rate. ALK fusions were detected in 39 samples: 29 were ALK FISH+, 5 were ALK FISH not contributive, 3 were ALK FISH- (less than 15% tumor cells presenting a gene fusion), and 2 were ALK IHC- and not tested by FISH. ROS1 fusions were detected in 12 samples: 9 were ROS1 FISH+, 1 was ROS1 FISH-, and 2 were ROS1 IHC- and not tested by FISH. RET fusions were detected in 3 samples. The remaining 255 samples were RT-PCR-: 5 were ALK FISH+ containing fusions not covered by the RT-PCR assay, 1 was ALK FISH+ containing ALK polysomy, 1 was ROS1 FISH+ containing a fusion not covered by the RT-PCR assay, 1 was ROS1 FISH+ containing ROS1 amplification, 1 was ROS1 FISH+ but ROS1 RNAseq-, and 246 samples were IHC- or IHC+/FISH-. The overall concordance rate between RT-PCR and FISH for ALK and ROS1 gene rearrangements was 91.9%. Although the RT-PCR assay did not detect 5 ALK and 1 ROS1 fusions due to design limitations, it did identify the presence of fusions in 9 tumors that were undetected by FISH (8 ALK and 1 ROS1). Conclusion: Using limited amount of biological material, RT-PCR was able to detect a substantial majority of ALK and ROS1 fusions identified by FISH, as well as fusions that were missed by the initial IHC/FISH screening. This study demonstrates RT-PCR as a feasible approach to detecting fusions in NSCLC. Citation Format: Marc G. Denis, Audrey Vallée, Christine Sagan, Guillaume Herbreteau, Sandrine Charpentier, Jaya Rajamani, Michael Lee, Ellen Ordinario. Detection of ALK, ROS1 and RET fusion transcripts in FFPE samples of non-small cell lung cancer patients using a novel RT-PCR based assay [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 1271.

Abstract 2232: Optimizing Performance of Whole Transcriptome RNA-Seq Reference

Abstract Purpose: Whole transcriptome RNA-sequencing (RNA-Seq) has emerged as one of the most effective methods for detection of genomic rearrangements in cancer. Enrichment for poly(A) + RNA as part of library preparation is a standard method to select for mRNAs, but ribosomal RNA depletion and exon capture methods may be preferred for samples of suboptimal RNA quality, such as FFPE. Regardless of the selection and library preparation procedure, RNA-Seq for clinical use requires well characterized reference materials for assay quality control and fusion detection verification. However, reference materials developed for targeted NGS panels performed sub-optimally on RNA-Seq. This study was undertaken to design, optimize and improve RNA-Seq performance with a novel transcriptome-scale RNA Fusion reference material. Procedure: Seraseq® Fusion RNA Mix is highly multiplexed with 18 clinically relevant fusion RNAs and is designed for targeted NGS panels. The biosynthetic fusions are targeted to 60 copies per nanogram of total RNA from GM24385 human reference cell line and contain poly-A tail of ~37 templated A's. We tested whether increasing the length of the poly-A tail would improve the efficiency of binding to an oligo dT column and improve performance in total RNA-Seq NGS assays that use poly(A) + selection. E. coli Poly(A) Polymerase was used to extend tails, and efficiency of RNA recovery from oligo-dT columns was assessed visually by gel analysis. The fusion RNAs (with standard or lengthened poly-A tails) were mixed with total RNA from GM24385 human reference cell line. Since GM24385 is a lymphoid cell line, highly abundant immune transcripts may reduce the prevalence of the fusion RNAs in the selected RNAs. Therefore, mixtures were made at the normal concentration (~60 copies/ng, or 1X) as well as at 3-fold and 10-fold concentrations. Fusion detection was performed using Illumina TruSeq Stranded mRNA(polyA) kit and Illumina HiSeq, run in 2 × 150bp mode. Results: The proportional recovery was improved with the longer (&amp;gt;100 A's) tail length. This translated to improvement in NGS detection with longer poly-A tail length giving from 10% to 50% more fusion reads. Increasing the Fusion RNA concentration led to a proportion increase in fusion reads per million total reads. The increase from &amp;lt;1 fusion reads/million total reads to &amp;gt;5 fusion reads/million resulted in more robust and consistent fusion detection. Conclusions: These studies indicate that reference materials similar to the Seraseq Fusion RNA mix reference material, but with greater concentration of Fusion RNAs (3 - 10 fold higher concentration) and with longer polyA tail length will be applicable quality control materials for whole transcriptome RNA-Seq NGS assays. These novel reference materials may aid clinical labs in developing sensitive new RNA-Seq Fusion detection assays and tuning their bioinformatics pipeline to more precise selection of therapeutic strategies for patients. Citation Format: Catherine Huang, Matthew G. Butler, Yves Konigshofer, Jessica Dickens, Rajeswari Vemula, Omoshile Clement, Bharathi Anekella. Optimizing Performance of Whole Transcriptome RNA-Seq Reference [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2232.

Detection of ALK fusion transcripts in plasma of non-small cell lung cancer patients using a novel RT-PCR based assay.

BackgroundDetection of genomic rearrangements, like anaplastic lymphoma kinase (ALK) fusions, is a pivotal requirement in non-small cell lung cancer (NSCLC) for the initiation of a targeted treatment. While tissue testing remains the gold standard, detection of these alterations using liquid biopsies is an unmet need. To enable the detection of ALK rearrangements from circulating-free RNA (cfRNA) from NSCLC patients, we have evaluated a novel reverse transcription PCR (RT-PCR) based assay.MethodsSixty-six patients with advanced stage NSCLC were included in the study. ALK status was determined by immunohistochemistry (IHC) and/or FISH on tissue sections. For the detection of ALK rearrangements from 2ml plasma collected in EDTA or Streck BCT DNA tubes, cfRNA was extracted using a prototype cfRNA sample preparation method and tested by a novel multiplex ALK/RET RT-PCR assay (Roche).ResultsOf the forty-two patients with an ALK rearrangement, 30 (71%) were included at baseline. In 10 of the baseline patients, an ALK rearrangement was detected by RT-PCR [baseline sensitivity 33.33% (95% CI: 17.29–52.81%)]. All 24 negative ALK IHC/FISH-negative patients were negative using the RT-PCR based assay (specificity =100%).ConclusionsThe prototype Roche ALK/RET RT-PCR assay was able to detect ALK fusion transcripts in the plasma of NSCLC patients at baseline as well as at disease progression with limited sensitivity but high specificity. Consequently, this assay could potentially be considered to select patients for an ALK-targeting therapy when tissue samples are lacking.

Droplet digital PCR for large genomic rearrangements detection: A promising strategy in tissue BRCA1 testing

Background and aimsWith the introduction of Olaparib as target therapy for High Grade Serous Ovarian Cancer (HGSOC) patients with germline and somatic BRCA1/2 mutations, the genetic test performed on tumor tissue has become important like the germline test. In somatic testing the evaluation of Large Genomic Rearrangements (LGRs) represents the main challenge. We describe a droplet digital PCR (ddPCR) assay for the evaluation of target BRCA1 LGRs on blood and formalin-fixed paraffin-embedded (FFPE)/Fresh Frozen Tissue (FFT) samples. Materials and methodsWe analyzed blood, FFPE and FFT samples in a validation setting of n = 78 HGSOC patients. We applied the ddPCR to BRCA1 exons 2, 20 and 21 as some of the most common BRCA1 exons involved in LGRs in our cohort of patients. ResultsThe ddPCR custom assays allowed the identification of LGRs in all sample types, including FFPE specimens. Moreover, we were able to clearly detect LGRs accounted as somatic event. ConclusionThe introduction of ddPCR in a comprehensive workflow, encompassing both germline and somatic tests, represents an improvement in BRCA1/2 testing. ddPCR can overcome challenges related to BRCA testing, especially on FFPE analysis. Finally, ddPCR represents a promising alternative strategy to the established standard methods currently used in clinical setting.

Abstract 5299: Detection of ALK fusion transcripts in plasma of non-small cell lung cancer patients using a novel RT-PCR based assay

Abstract Background and objective: Detection of genomic rearrangements like ALK fusions are of great interest in non-small cell lung cancer (NSCLC) as those alterations can be targeted by an increasing number of drugs. To overcome tissue limitations, detection of these alterations from liquid biopsies is an unmet need, despite the development of novel NGS-based tests. To allow the detection of ALK rearrangements from circulating-free RNA (cfRNA) from NSCLC patients, we have evaluated a novel RT-PCR based assay and compared the results to tissue-based testing using immunohistochemistry (IHC) or fluorescence in-situ hybridization (FISH). Materials and Methods: Sixty-five patients with late stage NSCLC were included in the study. ALK status was assessed on tissue section using immunohistochemistry and/or FISH. cfRNA was extracted from 2 ml of plasma from EDTA or Streck BCT DNA tubes using a prototype cfRNA Sample Preparation method (Roche Molecular Systems, Pleasanton, CA). For the detection of ALK-rearrangements from plasma, a prototype ALK/RET/ROS1 Fusion Panel assay (Roche) was used. Results: The analytical sensitivity of the assay was evaluated by testing plasma from healthy individuals spiked with RNA extracted from FFPE tissue section of an ALK positive tumor. Positive results were obtained with samples spiked with as little as 3 ng RNA. Of the forty-five ALK-fusion positive patients, 11 patients were already under anti-ALK therapy and in none of the patients an ALK fusion could be detected. However, of five samples tested at progression, two (40%) were tested positive. For the 29 ALK-fusion positive samples which were included at baseline prior to therapy, 11 samples have been tested positive for ALK fusions (38%). All 20 negative controls were negative using the PCR based assay. Consequently, the key test parameters for samples tested at baseline were: sensitivity = 37.93% [95% CI 20.69% - 57.74%]; specificity = 100.00% [95% 83.16% - 100.00%]; positive predictive value = 100%; negative predictive value weighted for a prevalence of ALK fusions of 4% in metastatic NSCLC patients = 97.48% [95% CI 96.68 - 98.09]. Conclusion: The prototype cobas ALK/RET/ROS1 Fusion Panel assay was able to detect ALK fusion transcripts in the plasma of NSCLC patients at baseline as well as at disease progression. Limited sensitivity could be explained by biological factors influencing nucleic acid shedding by tumours, as well as the presence of fusions not covered by the assay. However, the assay demonstrated high specificity. These data demonstrate that this assay could potentially be used to select patients for an anti-ALK therapy when tissue samples are not available. Citation Format: Simon Heeke, Marius Ilié, Maryline Allegra, Audrey Vallée, Carole Salacroup, Virginie Tanga, Véronique Hofman, Jaya Rajamani, Michael Lee, Ellen Ordinario, Marc G. Denis, Paul Hofman. Detection of ALK fusion transcripts in plasma of non-small cell lung cancer patients using a novel RT-PCR based assay [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 5299.

Abstract 4268: Technical validation of a NGS-based analysis pipeline for BRCA1/2 variants and large genomic rearrangements detection

Abstract Background Individual carrying germline mutations within BRCA1 or BRCA2 gene confers well-established increased risk of developing breast and ovarian cancers in the life-time than the general population. Recent advancement in clinical oncology and pharmacology discovered that poly ADP ribose polymerase (PARP) inhibitors are particularly effective in treating cancer that is homologous recombination deficient (HRD) through synthetic lethality, irrespective of the primary tumor site or the type of the BRCA1/2 inactivation variant. Methods A dedicated next-generation sequencing (NGS) panel was designed to interrogate the mutational status of BRCA1/2 and 18 other HRD-associated genes. Using a cohort of 522 clinical samples and artificially engineered cell line samples, we evaluated the mutation detection proficiency for single nucleotide variant (SNV) and small insertion or deletion (Indel) variants. BRCA1/2 inactivation is often the consequence of large genomic rearrangement (LGR) within the gene and phenotypically shown as exon-level copy number variant (CNV). Given the technical challenge of accurate exon-level CNV detection within a small panel, we developed a noise-reduction model based on a pool of normal (PON) samples for CNV result analysis. We further designed droplet digital polymerase chain reaction (ddPCR) for each exon of BRCA1/2 to verify the exonic CNV findings. Results Using a comparator assay as the gold standard, the BRCA1/2 panel achieved an accuracy of 96.7%, a precision of 98.9%, and a lower limit of detection of 3% variant allelic frequency (VAF) for SNV and Indel. The CNV pipeline achieved 97.8% sensitivity and 99.7% specificity for exonic CNV events that were supported by at least one piece of secondary evidence, out-performing publicly available software. The ddPCR verification further enhances assay accuracy and provides a significantly improved statistically confidence for the final CNV calls unparalleled by any other experimental methodologies. Conclusions Using a large cohort of clinical samples, the authors demonstrated the proficiency of a targeted NGS approach for variant and LGR detection of BRCA1/2 and the other genes of the DNA damage repair pathway. An effective method was developed to suppress the noise within the NGS-derived CNV profile, which is exaggerated by the small panel size and short targeted regions. The authors would also like to call the researcher's attention to a critical caveat within the CNV testing results generated from NGS-based methods. Citation Format: Xiangyuan Ma, Hua Bao, Zhili Chang, Yong Wu, Changwan Du, Rong Gao, Yu Song, Ryan S. Robetyore, Xue Wu, Yang W. Shao. Technical validation of a NGS-based analysis pipeline for BRCA1/2 variants and large genomic rearrangements detection [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 4268.

Detection of ALK and ROS1 fusion transcripts in FFPE samples of non-small cell lung cancer patients using a novel RT-PCR based assay and targeted RNA sequencing.

e21695 Background: Detection of genomic rearrangements like ALK and ROS1 fusions are mandatory in non-small cell lung cancer (NSCLC) as those alterations can be targeted by an increasing number of drugs. Fluorescence in-situ hybridization (FISH) has been so far the gold standard but multiplexed technologies would allow analysis of many potential targets simultaneously. We have evaluated a novel RT-PCR based assay and a targeted RNA sequencing solution for the detection of ALK and ROS1 rearrangement in NSCLC patients. Methods: 41 patients with late stage NSCLC were included in the study. ALK and ROS1 status were screened on FFPE tissue sections using immunohistochemistry and confirmed with FISH. Total nucleic acids were extracted from tissue sections using the Maxwell RSC RNA FFPE kit (Promega). Detection of rearrangements was performed by RT-PCR using the prototype ALK/RET/ROS1 Fusion Panel assay (Roche), which detects 7 ALK fusion variants, 13 ROS1 variants and 6 RET variants. For RNA sequencing, the libraries were prepared with the QIAseq Targeted RNAscan Lung Cancer Panel (Qiagen). Sequencing was performed on a MiSeq instrument (Illumina). Results: We tested 16 ALK FISH+ tumors, 4 ROS1 FISH+ tumors, and 21 samples that were either IHC- or IHC+/FISH-. The RT-PCR assay detected 15 of the 16 ALK FISH+ tumors, and 3 of the 4 ROS1 FISH+ tumors. In the 21 IHC- or IHC+/FISH- samples, 1 additional ROS1 fusion and 1 RET fusion were detected. The remaining 19 assays samples were negative. 2 fusions were missed by RT-PCR because the assay design does not cover these rearrangements (KLC1-ALK and CTNND1-ROS1). With targeted RNA sequencing, we were able to detect 14 of the 16 ALK FISH+ tumors and all 4 of the ROS1 FISH+ tumors. We also identified 1 additional ROS1 fusion and 1 RET fusion in the 21 IHC- or IHC+/FISH- samples. 17 patients were negative and 2 tests were not contributive. Overall, using FISH as a reference, the sensitivity of both assays was 90% (18/20). Conclusions: Using limited amount of biological material, both RT-PCR and targeted RNA sequencing were able in one assay to detect the overwhelming majority of ALK and ROS1 fusions identified with FISH. These approaches also allowed us to detect gene rearrangements that were missed by the initial IHC/FISH screening. The RT-PCR assay requires less RNA (as little as 3 ng) and has a much faster turn-around time. The RNA sequencing approach allowed us to identify the fusion partners, but it requires much more RNA and is rather difficult to implement in routine practice.

Structural variant identification and characterization.

Structural variant (SV) differences between human genomes can cause germline and mosaic disease as well as inter-individual variation. De-regulation of accurate DNA repair and genomic surveillance mechanisms results in a large number of SVs in cancer. Analysis of the DNA sequences at SV breakpoints can help identify pathways of mutagenesis and regions of the genome that are more susceptible to rearrangement. Large-scale SV analyses have been enabled by high-throughput genome-level sequencing on humans in the past decade. These studies have shed light on the mechanisms and prevalence of complex genomic rearrangements. Recent advancements in both sequencing and other mapping technologies as well as calling algorithms for detection of genomic rearrangements have helped propel SV detection into population-scale studies, and have begun to elucidate previously inaccessible regions of the genome. Here, we discuss the genomic organization of simple and complex SVs, the molecular mechanisms of their formation, and various ways to detect them. We also introduce methods for characterizing SVs and their consequences on human genomes.

Scaling New Heights in theGenetic Diagnosis of Inherited Retinal Dystrophies.

During the last 20years, our group has focused on identifying the genes and mutations causative of inherited retinal dystrophies (IRDs). By applying massive sequencing approaches (NGS) in more than 500 familial and sporadic cases, we attained high diagnostic efficiency (85%) with a custom target gene panel and over 75% using whole exome sequencing (WES). Close to 40% of pathogenic alleles are novel mutations, which demand specific in silico tests and in vitro assays. Notably, missense variants are by far the most common type of mutation identified (around 40%), with small in-frame indels being less frequent (2%). To fill the gap of unsolved cases, when no candidate gene or only a single pathogenic allele has been identified, additional scientific and technical issues remain to be addressed. Reliable detection of genomic rearrangements and copy number variants (partial or complete), deep intronic mutations, variants that cause aberrant splicing events in retina-specific transcripts, functional assessment of hypomorphic missense alleles, mutations in regulatory sequences, the contribution of modifier genes to the IRD phenotype, and detection of low heteroplasmy mtDNA mutations are among the new challenges to be met.

Detection of genomic rearrangements from targeted resequencing data in Parkinson's disease patients

ABSTRACTBackgroundThe analysis of coverage depth in next‐generation sequencing data allows the detection of gene dose alterations. We explore the frequency of such structural events in a Spanish cohort of sporadic PD cases.MethodsGene dose alterations were detected with the eXome‐Hidden Markov Model (XHMM) software from depth of coverage in resequencing data available for 38 Mendelian and other risk PD loci in 394 individuals (249 cases and 145 controls) and subsequently validated by quantitative PCR.ResultsWe identified 10 PD patients with exon dosage alterations in PARK2, GBA‐GBAP1, and DJ1. Additional functional variants, including 2 novel nonsense mutations (p.Arg1552Ter in LRRK2 and p.Trp90Ter in PINK1), were confirmed by Sanger sequencing. This combined approach disclosed the genetic cause of 12 PD cases.ConclusionsGene dose alterations related to PD can be correctly identified from targeting resequencing data. This approach substantially improves the detection rate of cases with causal genetic alterations. © 2016 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Analysis of genomic rearrangements by using the Burrows-Wheeler transform of short-read data.

BackgroundThe potential utility of the Burrows-Wheeler transform (BWT) of a large amount of short-read data ("reads") has not been fully studied. The BWT basically serves as a lossless dictionary of reads, unlike the heuristic and lossy reads-to-genome mapping results conventionally obtained in the first step of sequence analysis. Thus, it is naturally expected to lead to development of sensitive methods for analysis of short-read data. Recently, one of the most active areas of research in sequence analysis is sensitive detection of rare genomic rearrangements from whole-genome sequencing (WGS) data of heterogeneous cancer samples. The application the BWT of reads to the analysis of genomic rearrangements is addressed in this study.ResultsA new method for sensitive detection of genomic rearrangements by using the BWT of reads in the following three steps is proposed: first, breakpoint regions, which contain breakpoints and are joined together by rearrangement, are predicted from the distribution of so-called discordant pairs by using a kind of the conjugate gradient method; second, reads partially matching the breakpoint regions are collected from the BWT of reads; and third, breakpoints are detected as branching points among the collected reads, and their precise positions are determined. The method was experimentally implemented, and its performance (i.e., sensitivity and specificity) was evaluated by using simulated data with known artificial rearrangements. It was applied to publicly available real biological WGS data of cancer patients, and the detection results were compared with published results.ConclusionsServing as a lossless dictionary of reads, the BWT of short reads enables sensitive analysis of genomic rearrangements in heterogeneous cancer-genome samples when used in conjunction with breakpoint-region predictions based on a conjugate gradient method.

5p13.3p13.2 duplication associated with developmental delay, congenital malformations and chromosome instability manifested as low-level aneuploidy.

Recent developments in molecular cytogenetics allow the detection of genomic rearrangements at an unprecedented level leading to discoveries of previously unknown chromosomal imbalances (zygotic and post-zygotic/mosaic). These can be accompanied by a different kind of pathological genome variations, i.e. chromosome instability (CIN) manifested as structural chromosomal rearrangements and low-level mosaic aneuploidy. Fortunately, combining whole-genome and single-cell molecular cytogenetic techniques with bioinformatics offers an opportunity to link genomic changes to specific molecular or cellular pathology. High-resolution chromosomal SNP microarray analysis was performed to study the genome of a 15-month-aged boy presented with developmental delay, congenital malformations, feeding problems, deafness, epileptiform activity, and eye pathology. In addition, somatic chromosomal mutations (CIN) were analyzed by fluorescence in situ hybridization (FISH). Interstitial 5p13.3p13.2 duplication was revealed in the index patient. Moreover, CIN manifested almost exclusively as chromosome losses and gains (aneuploidy) was detected. Using bioinformatic analysis of SNP array data and FISH results, CIN association with the genomic imbalance resulted from the duplication was proposed. The duplication was demonstrated to encompass genes implicated in cell cycle, programmed cell death, chromosome segregation and genome stability maintenance pathways as shown by an interactomic analysis. Genotype-phenotype correlations were observed, as well. To the best our knowledge, identical duplications have not been reported in the available literature. Apart from genotype-phenotype correlations, it was possible to propose a link between the duplication and CIN (aneuploidy). This case study demonstrates that combining SNP array genomic analysis, bioinformatics and molecular cytogenetic evaluation of somatic genome variations is able to provide a view on cellular and molecular pathology in a personalized manner. Therefore, one can speculate that similar approaches targeting both interindividual and intercellular genomic variations could be useful for a better understanding of disease mechanisms and disease-related biological processes.

Detection of Enhancer-Associated Rearrangements Reveals Mechanisms of Oncogene Dysregulation in B-cell Lymphoma.

B-cell lymphomas frequently contain genomic rearrangements that lead to oncogene activation by heterologous distal regulatory elements. We used a novel approach called "pinpointing enhancer-associated rearrangements by chromatin immunoprecipitation," or PEAR-ChIP, to simultaneously map enhancer activity and proximal rearrangements in lymphoma cell lines and patient biopsies. This method detects rearrangements involving known cancer genes, including CCND1, BCL2, MYC, PDCD1LG2, NOTCH1, CIITA, and SGK1, as well as novel enhancer duplication events of likely oncogenic significance. We identify lymphoma subtype-specific enhancers in the MYC locus that are silenced in lymphomas with MYC-activating rearrangements and are associated with germline polymorphisms that alter lymphoma risk. We show that BCL6-locus enhancers are acetylated by the BCL6-activating transcription factor MEF2B, and can undergo genomic duplication, or target the MYC promoter for activation in the context of a "pseudo-double-hit" t(3;8)(q27;q24) rearrangement linking the BCL6 and MYC loci. Our work provides novel insights regarding enhancer-driven oncogene activation in lymphoma. We demonstrate a novel approach for simultaneous detection of genomic rearrangements and enhancer activity in tumor biopsies. We identify novel mechanisms of enhancer-driven regulation of the oncogenes MYC and BCL6, and show that the BCL6 locus can serve as an enhancer donor in an "enhancer hijacking" translocation.

Design and validation of an oligonucleotide microarray for the detection of genomic rearrangements associated with common hereditary cancer syndromes.

BackgroundConventional Sanger sequencing reliably detects the majority of genetic mutations associated with hereditary cancers, such as single-base changes and small insertions or deletions. However, detection of genomic rearrangements, such as large deletions and duplications, requires special technologies. Microarray analysis has been successfully used to detect large rearrangements (LRs) in genetic disorders.MethodsWe designed and validated a high-density oligonucleotide microarray for the detection of gene-level genomic rearrangements associated with hereditary breast and ovarian cancer (HBOC), Lynch, and polyposis syndromes. The microarray consisted of probes corresponding to the exons and flanking introns of BRCA1 and BRCA2 (≈1,700) and Lynch syndrome/polyposis genes MLH1, MSH2, MSH6, APC, MUTYH, and EPCAM (≈2,200). We validated the microarray with 990 samples previously tested for LR status in BRCA1, BRCA2, MLH1, MSH2, MSH6, APC, MUTYH, or EPCAM. Microarray results were 100% concordant with previous results in the validation studies. Subsequently, clinical microarray analysis was performed on samples from patients with a high likelihood of HBOC mutations (13,124), Lynch syndrome mutations (18,498), and polyposis syndrome mutations (2,739) to determine the proportion of LRs.ResultsOur results demonstrate that LRs constitute a substantial proportion of genetic mutations found in patients referred for hereditary cancer genetic testing.ConclusionThe use of microarray comparative genomic hybridization (CGH) for the detection of LRs is well-suited as an adjunct technology for both single syndrome (by Sanger sequencing analysis) and extended gene panel testing by next generation sequencing analysis. Genetic testing strategies using microarray analysis will help identify additional patients carrying LRs, who are predisposed to various hereditary cancers.

Design and validation of an oligonucleotide microarray for the detection of genomic rearrangements associated with common hereditary cancer syndromes

Conventional Sanger sequencing reliably detects the majority of genetic mutations associated with hereditary cancers, such as single-base changes and small insertions or deletions. However, detection of genomic rearrangements, such as large deletions and duplications, requires special technologies. Microarray analysis has been successfully used to detect large rearrangements (LRs) in genetic disorders. We designed and validated a high-density oligonucleotide microarray for the detection of gene-level genomic rearrangements associated with hereditary breast and ovarian cancer (HBOC), Lynch, and polyposis syndromes. The microarray consisted of probes corresponding to the exons and flanking introns of BRCA1 and BRCA2 (≈1,700) and Lynch syndrome/polyposis genes MLH1, MSH2, MSH6, APC, MUTYH, and EPCAM (≈2,200). We validated the microarray with 990 samples previously tested for LR status in BRCA1, BRCA2, MLH1, MSH2, MSH6, APC, MUTYH, or EPCAM. Microarray results were 100% concordant with previous results in the validation studies. Subsequently, clinical microarray analysis was performed on samples from patients with a high likelihood of HBOC mutations (13,124), Lynch syndrome mutations (18,498), and polyposis syndrome mutations (2,739) to determine the proportion of LRs. Our results demonstrate that LRs constitute a substantial proportion of genetic mutations found in patients referred for hereditary cancer genetic testing. The use of microarray comparative genomic hybridization (CGH) for the detection of LRs is well-suited as an adjunct technology for both single syndrome (by Sanger sequencing analysis) and extended gene panel testing by next generation sequencing analysis. Genetic testing strategies using microarray analysis will help identify additional patients carrying LRs, who are predisposed to various hereditary cancers.

Analysis of Gene Copy Number Variations using a Method Based on Lab-on-a-Chip Technology

Copy number variations (CNVs) contribute to genome variability and their pathogenic role is becoming evident in an increasing number of human disorders. Commercial assays for routine diagnosis of CNVs are available only for a fraction of known genomic rearrangements. Thus, it is important to develop flexible and cost-effective methods that can be adapted to the detection of CNVs of interest, both in research and clinical settings. We describe a new multiplex PCR-based method for CNV analysis that exploits automated microfluidic capillary electrophoresis through lab-on-a-chip technology (LOC-CNV). We tested the reproducibility of the method and compared the results obtained by LOC-CNV with those obtained using previously validated semiquantitative assays such as multiplex ligation-dependent probe amplification (MLPA) and nonfluorescent multiplex PCR coupled to HPLC (NFMP-HPLC). The results obtained by LOC-CNV in control individuals and carriers of pathogenic MLH1 or BRCA1 genomic rearrangements (losses or gains) were concordant with those obtained by previously validated methods, indicating that LOC-CNV is a reliable method for the detection of genomic rearrangements. Because of its advantages with respect to time, costs, easy adaptation of previously developed multiplex assays and flexibility in novel assay design, LOC-CNV may represent a practical option to evaluate relative copy number changes in genomic targets of interest, including those identified in genome-wide analyses.

Validation of comparative genomic hybridization arrays for the detection of genomic rearrangements of the calpain‐3 and dysferlin genes

Validation of comparative genomic hybridization arrays for the detection of genomic rearrangements of the calpain‐3 and dysferlin genes

Molecular genetics of Dravet syndrome

Before the advent of molecular genetics, the nature of Dravet syndrome remained largely obscure, and arguments in favour of either an acquired origin, such as the occurrence of Dravet syndrome after vaccination, or an inherited origin, such as the occurrence of epilepsy in relatives, were formulated. In 2001 we demonstrated that the majority of Dravet patients have a genetic cause due to loss‐of‐function mutations in the SCN1A gene. Understandably, since this syndrome severely affects reproductive fitness, these mutations almost exclusively arise de novo, with the rare exceptions of mosaic mutations in a non‐affected transmitting parent. Besides classical Sanger sequencing, mutation analysis of the SCN1A gene also requires a method that allows the detection of genomic rearrangements (MAQ, MLPA), since microdeletions or whole gene deletions also result in Dravet syndromes. Depending on the series reported and their recruitment strategies, the yield of SCN1A mutations detected varied from 50 to 80%, implying that other genes or factors must be involved in these ‘SCN1A‐negative Dravet patients’. Recently mutations in some other genes have been described in these genuine Dravet patients who do not carry an SCN1A mutation. The second most important Dravet‐associated gene is PCDH19.These patients initially may have all characteristics of Dravet syndrome but may later run a somewhat different course.