Development of a Web-Based Query Tool for Quality Assurance of Clinical Molecular Genetic Test Results

The College of American Pathologists molecular pathology checklist item (MOL.20550) calls for periodic review of molecular genetic statistics, including percentages of normal and abnormal findings and allele frequencies. A web-based query tool application for clinical molecular genetic test results was developed to plot dynamically and display genotype and/or allele frequencies for any time period. This tool is used to produce plots of all high-volume molecular genetic assays (>50 samples per month). A single web page contains pull-down menus, enabling the user to select the type of chart to be generated (genotype or allele frequency), the molecular genetic assays to chart (from one to all), the ending date for data in the chart (month and year), and the duration of the time period to plot (1 to 12 months). The rendered graphical and textual frequency data can then be viewed or printed. This tool can be used by any laboratory and interfaced with a standard laboratory information system. Monthly quality control charts and tables are now generated in minutes compared with the hours it took using manual charting applications. This simplified process enables timely compliance with a College of American Pathologists checklist item

Rapid One-Step Carrier Detection Assay of Mucolipidosis IV Mutations in the Ashkenazi Jewish Population

Two mutations in the MCOLN1 mucolipidosis IV (ML IV) gene represent ∼95% of the mutations in Ashkenazi-Jewish patients with ML IV. The mutations, a splice site mutation (IVS3-2A>G) and an ∼6.4-kb deletion (511del6434), account for 72% and 23% of ML IV alleles in this population, respectively. An automated high-throughput assay was developed using the 5′-nuclease (TaqMan) method for the simultaneous detection of both mutations in a single reaction. Three fluorescent probes specifically detected wild-type, IVS3-2A>G, and 511del6434 alleles in each reaction real-time. Data collected were automatically analyzed, and genotype results were uploaded into a laboratory information management system. The assay was validated using genomic controls, demonstrating high robustness and accuracy. Carrier screening of 10,527 samples revealed 77 heterozygote carriers of IVS3-2A>G, 25 heterozygote carriers of 511del6434, and two compound heterozygote of both mutant alleles. The frequency of mutated alleles was 0.73% for IVS3-2A>G and 0.24% for 511del6434. The combined carrier frequency was 1:103 with predicted disease incidence of 1:42,436 individuals in this population, slightly lower than previously described frequencies. This automated high-throughput assay is labor saving, because two mutations can be detected in a single reaction. The method has potential for use in other assays requiring simultaneous detection of two mutations

Development and Validation of a 34-Gene Inherited Cancer Predisposition Panel Using Next-Generation Sequencing

The use of genetic testing to identify individuals with hereditary cancer syndromes has been widely adopted by clinicians for management of inherited cancer risk. The objective of this study was to develop and validate a 34-gene inherited cancer predisposition panel using targeted capture-based next-generation sequencing (NGS). The panel incorporates genes underlying well-characterized cancer syndromes, such as BRCA1 and BRCA2 (BRCA1/2), along with more recently discovered genes associated with increased cancer risk. We performed a validation study on 133 unique specimens, including 33 with known variant status; known variants included single nucleotide variants (SNVs) and small insertions and deletions (Indels), as well as copy-number variants (CNVs). The analytical validation study achieved 100% sensitivity and specificity for SNVs and small Indels, with 100% sensitivity and 98.0% specificity for CNVs using in-house developed CNV flagging algorithm. We employed a microarray comparative genomic hybridization (aCGH) method for all specimens that the algorithm flags as CNV-positive for confirmation. In combination with aCGH confirmation, CNV detection specificity improved to 100%. We additionally report results of the first 500 consecutive specimens submitted for clinical testing with the 34-gene panel, identifying 53 deleterious variants in 13 genes in 49 individuals. Half of the detected pathogenic/likely pathogenic variants were found in BRCA1 (23%), BRCA2 (23%), or the Lynch syndrome-associated genes PMS2 (4%) and MLH1 (2%). The other half were detected in 9 other genes: MUTYH (17%), CHEK2 (15%), ATM (4%), PALB2 (4%), BARD1 (2%), CDH1 (2%), CDKN2A (2%), RAD51C (2%), and RET (2%). Our validation studies and initial clinical data demonstrate that a 34-gene inherited cancer predisposition panel can provide clinically significant information for cancer risk assessment

Development of Genomic DNA Reference Materials for Genetic Testing of Disorders Common in People of Ashkenazi Jewish Descent

Many recessive genetic disorders are found at a higher incidence in people of Ashkenazi Jewish (AJ) descent than in the general population. The American College of Medical Genetics and the American College of Obstetricians and Gynecologists have recommended that individuals of AJ descent undergo carrier screening for Tay Sachs disease, Canavan disease, familial dysautonomia, mucolipidosis IV, Niemann-Pick disease type A, Fanconi anemia type C, Bloom syndrome, and Gaucher disease. Although these recommendations have led to increased test volumes and number of laboratories offering AJ screening, well-characterized genomic reference materials are not publicly available. The Centers for Disease Control and Prevention-based Genetic Testing Reference Materials Coordination Program, in collaboration with members of the genetic testing community and Coriell Cell Repositories, have developed a panel of characterized genomic reference materials for AJ genetic testing. DNA from 31 cell lines, representing many of the common alleles for Tay Sachs disease, Canavan disease, familial dysautonomia, mucolipidosis IV, Niemann-Pick disease type A, Fanconi anemia type C, Bloom syndrome, Gaucher disease, and glycogen storage disease, was prepared by the Repository and tested in six clinical laboratories using three different PCR-based assay platforms. A total of 33 disease alleles was assayed and 25 different alleles were identified. These characterized materials are publicly available from Coriell and may be used for quality control, proficiency testing, test development, and research