Thorland, Erik C.

Abstract Introduction: Identification of causal DNA copy number variations (CNVs) is critical to the understanding of cancer development and progression, and is important clinically for accurate prognosis and efficient treatment. T-cell lymphomas are replete with amplifications and deletions that result in over- and under-expression of genes. Array comparative genomic hybridization (aCGH) has been the technology of choice to detect CNVs but recently, it has been proposed that mate-pair Next Generation Sequencing (mpNGS) can produce similar results. Here, we report a comparison between the two techniques. Methods: We have developed an algorithm based on extreme value theory to identify CNVs across the genome at high resolution from mate-pair NGS data. The algorithm is based on plotting the distribution of read-counts in windows across the genome, and detecting deletions and gains by finding the windows that differ significantly from the distribution of the normal part of the genome. We compared this algorithm with aCGH data to detect CNVs. We ran five cases of T-cell lymphoma with both techniques and compared the results using concordance statistics. Results: With 50kb lower cutoff for a CNV, mpNGS detected 98% of the cumulative deleted genome and 94% of the amplified/gained genome that were called by aCGH. Most of the discordant CNVs that were detected by only aCGH were in regions of repetitive areas where mapping fails. Conversely, aCGH detected 75% of the cumulative deleted genome and 74% of the amplified/gained genome that were called by mpNGS. Conclusion: A detailed comparison of these techniques showed that both have pros and cons. In general, mpNGS can detect most CNVs detected by aCGH, as long as they are more than 50KB. Additionally, mpNGS offers confirmatory data, particularly for deletions, based on detection of aberrant mate pairs that map to the rejoined ends of deleted regional. Finally, the mate-pair technology can also detect balanced translocations and can also predict fusion genes. Citation Format: George Vasmatzis, Andrew L. Feldman, Sarah H. Johnson, Erik C. Thorland, Rafael Fonseca, Esteban Braggio, Troy J. Gliem. Copy number detection using genomics technologies: A comparison between aCGH and NGS. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3572. doi:10.1158/1538-7445.AM2014-3572

Currarino syndrome (OMIM 175450) presents with sacral, anorectal, and intraspinal anomalies and presacral meningocele or teratoma. Autosomal dominant loss‐of‐function mutations in the MNX1 gene cause nearly all familial and 30% of sporadic cases. Less frequently, a complex phenotype of Currarino syndrome can be caused by microdeletions of 7q containing MNX1. Here, we report one familial and three sporadic cases of Currarino syndrome. To determine the most efficient genetic testing approach for these patients, we have compared results from MNX1 sequencing, chromosomal microarray, and performed a literature search with analysis of genotype–phenotype correlation. Based on the relationship between the type of mutation (intragenic MNX1 mutations vs 7q microdeletion) and the presence of intellectual disability, growth retardation, facial dysmorphism, and associated malformations, we propose a testing algorithm. Patients with the classic Currarino triad of malformations but normal growth, intellect, and facial appearance should have MNX1 sequencing first, and only in the event of a normal result should the clinician proceed with chromosomal microarray testing. In contrast, if growth delay and/or facial dysmorphy and/or intellectual disability are present, chromosomal microarray should be the first method of choice for genetic testing.

Deletion of 15q11.2‐q13 results in either Prader–Willi syndrome (PWS) or Angelman syndrome (AS) depending on the parent of origin. Duplication of the PWS/AS critical region (PWASCR) has also been reported in association with developmental delay and autism, and it has been shown that they also show a parent‐of‐origin effect. It is generally accepted that maternal duplications are pathogenic. However, there is conflicting evidence as to the pathogenicity of paternal duplications. We have identified 35 patients with gain of the PWASCR using array comparative genomic hybridization. Methylation testing was performed to determine parent of origin of the extra copies. Of the 35 cases, 22 had a supernumerary marker chromosome 15 (SMC15), 12 had a tandem duplication, and 1 had a tandem triplication. Only one patient had a paternal duplication; this patient does not have features typical of patients with maternal duplication of the PWASCR. Three of the mothers had a tandem duplication (two were paternal and one was maternal origin). While one of the two mothers with paternal duplication was noted not to have autism, the other was noted to have learning disability and depression. Based on our data, we conclude that SMC15 are almost exclusively maternal in origin and result in an abnormal phenotype. Tandem duplications/triplications are generally of maternal origin when ascertained on the basis of abnormal phenotype; however, tandem duplications of paternal origin have also been identified. Therefore, we suggest that methylation testing be performed for cases of tandem duplications/triplications since the pathogenicity of paternal gains is uncertain. © 2014 Wiley Periodicals, Inc.

Significance We describe a genomic disorder that causes obesity, intellectual disability, and seizures. Children with this syndrome carry an unbalanced chromosome translocation that results in the duplication of over 100 genes, including G protein β3 ( GNB3 ). Although GNB3 polymorphisms have been associated with obesity, hypertension, and diabetes, the mechanism of GNB3 pathogenesis is unknown. We created a transgenic mouse model that carries a duplication of GNB3 , weighs significantly more than wild-type mice, and has excess abdominal fat. GNB3 is highly expressed in the brain and may be important for signaling related to satiety and/or metabolism.

Chromosomal microarray analysis (CMA) is standard of care, first‐tier clinical testing for detection of genomic copy number variation among patients with developmental disabilities. Although diagnostic yield is higher than traditional cytogenetic testing, management impact has not been well studied. We surveyed genetic services providers regarding CMA ordering practices and perceptions about reimbursement. Lack of insurance coverage because of perceived lack of clinical utility was cited among the most frequent reasons why CMA was not ordered when warranted. We compiled a list of genomic regions where haploinsufficiency or triplosensitivity cause genetic conditions with documented management recommendations, estimating that at least 146 conditions potentially diagnosable by CMA testing have published literature supporting specific clinical management implications. Comparison with an existing clinical CMA database to determine the proportion of cases involving these regions showed that CMA diagnoses associated with such recommendations are found in approximately 7% of all cases (n = 28,526). We conclude that CMA impacts clinical management at a rate similar to other genetic tests for which insurance coverage is more readily approved. The information presented here can be used to address barriers that continue to contribute to inequities in patient access and care in regard to CMA testing.

Abstract Background: Glycerol kinase deficiency (GKD) is an X-linked recessive disorder that presents in both isolated and complex forms. The contiguous deletion that leads to GKD also commonly affects NR0B1 (DAX1), the gene associated with adrenal hypoplasia congenita, and DMD, the Duchenne muscular dystrophy gene. Molecular testing to delineate this deletion is expensive and has only limited availability. Methods: We designed a multiplex PCR assay for the detection and mapping of a contiguous deletion potentially affecting the IL1RAPL1, NR0B1, GK, and DMD genes in a 29-month-old male patient with GKD. Results: Multiplex PCR detected a contiguous deletion that involved the IL1RAPL1, NR0B1, GK, and DMD genes. Although the patient had a creatine kinase concentration within the reference interval, further mapping with PCR revealed that exon 74 was the last intact exon at the 3′ end of the DMD gene. Conclusions: Multiplex PCR is an effective and inexpensive way to detect and map the contiguous deletion in cases of complex GKD. The extension of a deletion to include DMD exon 75 in a patient with a creatine kinase concentration within the reference interval suggests that this region of the gene may not be essential for protein function.