Hereditary cancer testing challenges: assembling the analytical pieces to solve the patient clinical puzzle.

Expanded genetic test utilization to guide cancer management has driven the development of larger gene panels and greater diversity in the patient population pursuing testing, resulting in increased identification of atypical or technically challenging genetic findings. To ensure appropriate patient care, it is critical that genetic tests adequately identify and characterize these findings. We describe genetic testing challenges frequently encountered by our laboratory and the methodologies we employ to improve test accuracy for the identification and characterization of atypical genetic findings. While these findings may be individually rare, 15,745 (9%) individuals tested by our laboratory for hereditary cancer risk had an atypical genetic finding, highlighting the importance of employing highly accurate and comprehensive methods in clinical genetic testing.

Development and analytical validation of a 25-gene next generation sequencing panel that includes the BRCA1 and BRCA2 genes to assess hereditary cancer risk.

BACKGROUND: Germline DNA mutations that increase the susceptibility of a patient to certain cancers have been identified in various genes, and patients can be screened for mutations in these genes to assess their level of risk for developing cancer. Traditional methods using Sanger sequencing focus on small groups of genes and therefore are unable to screen for numerous genes from several patients simultaneously. The goal of the present study was to validate a 25-gene panel to assess genetic risk for cancer in 8 different tissues using next generation sequencing (NGS) techniques. METHODS: Twenty-five genes associated with hereditary cancer syndromes were selected for development of a panel to screen for risk of these cancers using NGS. In an initial technical assessment, NGS results for BRCA1 and BRCA2 were compared with Sanger sequencing in 1864 anonymized DNA samples from patients who had undergone previous clinical testing. Next, the entire gene panel was validated using parallel NGS and Sanger sequencing in 100 anonymized DNA samples. Large rearrangement analysis was validated using NGS, microarray comparative genomic hybridization (CGH), and multiplex ligation-dependent probe amplification analyses (MLPA). RESULTS: NGS identified 15,877 sequence variants, while Sanger sequencing identified 15,878 in the BRCA1 and BRCA2 comparison study of the same regions. Based on these results, the NGS process was refined prior to the validation of the full gene panel. In the validation study, NGS and Sanger sequencing were 100% concordant for the 3,923 collective variants across all genes for an analytical sensitivity of the NGS assay of >99.92% (lower limit of 95% confidence interval). NGS, microarray CGH and MLPA correctly identified all expected positive and negative large rearrangement results for the 25-gene panel. CONCLUSION: This study provides a thorough validation of the 25-gene NGS panel and indicates that this analysis tool can be used to collect clinically significant information related to risk of developing hereditary cancers.

Bioinformatics and human identification in mass fatality incidents: the world trade center disaster.

Victim identification initiatives undertaken in the wake of Mass Fatality Incidents (MFIs) where high-body fragmentation has been sustained are often dependent on DNA typing technologies to complete their mandate. The success of these endeavors is linked to the choice of DNA typing methods and the bioinformatic tools required to make the necessary associations. Several bioinformatic tools were developed to assist with the identification of the victims of the World Trade Center attacks, one of the most complex incidents to date. This report describes one of these tools, the Mass Disaster Kinship Analysis Program (MDKAP), a pair-wise comparison software designed to handle large numbers of complete or partial Short Tandem Repeats (STR) genotypes, and infer identity of, or biological relationships between tested samples. The software performs all functions required to take full advantage of the information content of processed genotypic data sets from large-scale MFIs, including the collapse of victims data sets, remains re-association, virtual genotype generation through gap-filling, parentage trio searching, and a consistency check of reported/inferred biological relationships within families. Although very few WTC victims were genetically related, the software can detect parentage trios from within a victim's genotype data set through a nontriangulated approach that screens all possible parentage trios. All software-inferred relationships from WTC data were confirmed by independent statistical analysis. With a 13 STR loci complement, a fortuitous parentage trio (FPT) involving nonrelated individuals was detected. Additional STR loci would be required to reduce the risk of an FPT going undetected in large-scale MFIs involving related individuals among the victims. Kinship analysis has proven successful in this incident but its continued success in larger scale MFIs is contingent on the use of a sufficient number of STR loci to reduce the risk of undetected FPTs, the use of mtDNA and Y-STRs to confirm parentage and of bioinformatics that can support large-scale comparative genotyping schemes capable of detecting parentage trios from within a group of related victims.

Application of embryonic lethal or other obvious phenotypes to characterize the clinical significance of genetic variants found in trans with known deleterious mutations.

This work describes an approach to characterize the clinical significance of genetic variants detected during the genetic testing of BRCA1 in patients from hereditary breast/ovarian cancer families. Results from transgenic mice and extensive clinical testing support the hypothesis that biallelic BRCA1 mutations result in embryonic lethality. Therefore, it is reasonable to conclude that variants of uncertain clinical significance found to reside in trans with known deleterious mutations impart reduced risk for cancer. This approach was applied to a large data set of 55,630 patients who underwent clinical BRCA1 screening by whole gene direct DNA sequencing. Fourteen common single nucleotide polymorphisms (SNPs) were used to assign 10 previously defined common, recurrent, or canonical haplotypes in 99% of these cases. From a total of 1,477 genetic variants detected in these patients, excluding haplotype-tagging SNPs, 877 (59%) could be unambiguously assigned to one or more haplotypes. In 41 instances, variants previously classified as being of uncertain clinical significance, mostly missense variants, were excluded as fully penetrant mutations due to their coincidence in trans with known deleterious mutations. From a total of 1,150 patients that harbored these 41 variants, 956 carried one as the sole variant of uncertain clinical significance reported. This approach could have widespread application to other disease genes where compound heterozygous mutations are incompatible with life or result in obvious phenotypes. This largely computational technique is advantageous because it relies upon existing clinical data and is likely to prove informative for prevalent genetic variants in large data sets.

A multi-exonic BRCA1 deletion identified in multiple families through single nucleotide polymorphism haplotype pair analysis and gene amplification with widely dispersed primer sets.

The identification of intragenic rearrangements is important for a comprehensive understanding of mutations that occur in some clinically important genes. Single nucleotide polymorphism haplotypes obtained from clinical sequence data have been used to identify patients at high risk for rearrangement mutations. Application of this method identified a novel 26-kb deletion of BRCA1 exons 14 through 20 in patients from multiple families with hereditary breast and ovarian cancer. Clinical sequence data from 5911 anonymous patients were screened for genotypes that were inconsistent with known pairs of canonical haplotypes in BRCA1 that could be explained by hemizygous deletions involving exon 16. Long-range polymerase chain reaction demonstrated that two of six samples identified by this search contained a deletion in the expected region encompassing exons 14 through 20. The breakpoint was fully characterized by DNA sequencing and demonstrated that the deletion resulted from Alu-mediated recombination. This mutation was also identified twice in a set of 982 anonymous specimens that had negative clinical test results, but uninformative haplotypes. Three additional occurrences of this mutation were found by testing 10 other patients with the indicative genotype. An assay for this mutation was added to a comprehensive clinical breast/ovarian cancer test and eight more instances were found in 20,649 probands. This multiexon deletion has therefore been detected in 15 different North American families with hereditary breast/ovarian cancer. In conclusion, this primarily computational approach is highly effective and identifies specimens using existing data that are enriched for deletion mutations.

Application of automation and information systems to forensic genetic specimen processing.

During the last 10 years, the introduction of PCR-based DNA typing technologies in forensic applications has been highly successful. This technology has become pervasive throughout forensic laboratories and it continues to grow in prevalence. For many criminal cases, it provides the most probative evidence. Criminal genotype data banking and victim identification initiatives that follow mass-fatality incidents have benefited the most from the introduction of automation for sample processing and data analysis. Attributes of offender specimens including large numbers, high quality and identical collection and processing are ideal for the application of laboratory automation. The magnitude of kinship analysis required by mass-fatality incidents necessitates the application of computing solutions to automate the task. More recently, the development activities of many forensic laboratories are focused on leveraging experience from these two applications to casework sample processing. The trend toward increased prevalence of forensic genetic analysis will continue to drive additional innovations in high-throughput laboratory automation and information systems.

Enhanced kinship analysis and STR-based DNA typing for human identification in mass fatality incidents: the Swissair flight 111 disaster.

A bioinformatic tool was developed to assist with the victim identification initiative that followed the Swissair Flight 111 disaster. Making use of short tandem repeat (STR) DNA typing data generated with AmpFlSTR Profiler Plus (PP) and AmpFlSTR COfiler(CO) kits, the software systematically compared each available STR genotype with every other genotype. The matching algorithm was based on the search for: (i) direct matches to genotypes derived from personal effects; and (ii) potential kinship associations between victims and next-of-kin, as measured by allele sharing at individual loci. The software greatly assisted parentage analysis by enabling kinship evaluation in situations where complete parentage trios were unavailable and, in some situations, with distantly related relatives. Exclusion of fortuitous kinship associations (FKA) was made possible through the recovery at the disaster site of at least one remains for every sought-after victim, and was incorporated into the kinship software. The data from the 13 combined STR loci produced 6 and 23 times fewer FKAs when compared with PP alone and AmpFlSTR Profiler (PR) alone, respectively. Identification leads or confirmations of identification were obtained for 218 victims for which DNA reference samples (personal effects and kin) had been submitted. Confirmation of an inferred kinship association was sought through frequency and likelihood calculations, as well as corroborative data from other identification modalities. The use of a simple, yet powerful, automated genotype comparison approach and the use of megaplexes with high power of discrimination (PD) values extended considerably the identification capabilities in the case of the Swissair disaster. The DNA typing identification modality proved to be a valuable component of the large arsenal of identification tools deployed in the aftermath of this disaster.

Systematic analysis of stutter percentages and allele peak height and peak area ratios at heterozygous STR loci for forensic casework and database samples.

To assist the interpretation of STR DNA typing results from forensic casework samples containing mixtures, the range of heterozygous allele peak height and peak area ratios (HR) and stutter percentages (stutter %) for the loci comprised in the AmpFlSTR Profiler Plus (PP) kit were assessed on 468 database and 275 casework single source samples. Stutter % medians were similar for database and casework samples, ranging from 2% to 7%. The upper limit of the stutter value range was 16%, calculated as median +3 SD, although lower locus-specific values could be used. HR medians were 93 +/- 6.5% for database samples, 88 +/- 12% for casework samples. For casework samples, the maximum signal imbalance noted was 52%, calculated as median -3 SD. No significant difference was observed between peak height and peak area calculated values. This study shows the importance of selecting the proper reference database for the establishment of HR threshold values.

AmpFlSTR profiler Plus short tandem repeat DNA analysis of casework samples, mixture samples, and nonhuman DNA samples amplified under reduced PCR volume conditions (25 microL).

As part of the validation of the AmpFlSTR Profiler Plus short tandem repeat (STR) system, under reduced polymerase chain reaction (PCR) volume conditions (i.e., 25 microL), a total of 275 casework samples were processed. Examples of profiles are presented along with amplification conditions to improve the odds of obtaining balanced and complete profiles for samples showing partial results or profiles with a descending slope. Data collected and used to develop our interpretation guidelines are included. From the mixture studies, full profiles were obtained for minor contributors, using 2 ng of DNA, with ratios of 10:1 or 1:20 and using 1 ng of DNA, with ratios of 10:1 and 1:8. The specificity of the Profiler Plus amplification reaction performed in 25 microL was examined and confirmed using a large spectrum of nonhuman DNAs. This report supports the use of the AmpFlSTR Profiler Plus STR system for casework DNA typing under reduced PCR volume conditions.

Accurate STR allele designations at the FGA and vWA loci despite primer site polymorphisms.

Polymerase chain reaction (PCR)-based STR DNA typing systems are used extensively in the field of human identification. Under optimal PCR conditions, the amplicon yield from both alleles of an STR locus is expected to be approximately equivalent. However, it is reasonable to expect that rare genomic sequence polymorphisms will co-localize with well-designed primer sets and induce allele imbalance or "dropouts". Two samples were identified in the course of genotyping thousands of individuals with AmpF/STR Profiler Plus that showed strong disparity in amplitude peak height of heterozygous peaks at the loci vWA and FGA. These samples were reamplified at reduced annealing temperature in an attempt to balance the peak heights. Nucleotide sequencing documented polymorphisms at the PCR primer binding sites of the affected alleles. The results indicate that reducing the annealing temperature to improve primer-binding efficiency at the mismatch and employing an alternative multiplex enhanced the data from both samples. Reducing annealing temperatures could provide a simple general solution to improving data quality for samples where polymorphisms are suspected to cause allele imbalance. Finally, we report on additional polymorphisms surrounding the vWA locus in a genetically diverse population.

STR DNA typing: increased sensitivity and efficient sample consumption using reduced PCR reaction volumes.

Improvements in detection limits/sensitivity and lower sample consumption are potential benefits of reducing PCR reaction volumes used in forensic DNA typing of crime scene samples. This premise was studied first with experimental mixtures and a nine-loci megaplex, which demonstrated stochiometric amplification and accurate detection. Next, adjudicated casework samples were subjected to amplification under 15 different template DNA to PCR reaction volume ratios. Reduction of PCR reaction volume and DNA down to 10 microL and 0.500 ng, respectively, produced identical profiles with the same signal intensity and heterozygous allele peak height ratio (HR). Reduction to 5 microL and 0.063 ng yielded HR values that were slightly affected in one to three STR loci. PCR reaction volume reduction can enhance detection and sensitivity while reducing the consumption of irreplaceable crime scene samples.

Prevalence of five previously reported and recurrent BRCA1 genetic rearrangement mutations in 20,000 patients from hereditary breast/ovarian cancer families.

Many rearrangement mutations in the BRCA1 gene have been identified. It is becoming clear that some of these mutations are prevalent, and therefore their detection is necessary in order for clinical genetic tests to have high sensitivity. Published information on particular rearrangements is frequently limited to a single patient, small groups of patients, or patients of a particular ethnicity. The objectives of this work included characterizing the prevalence of five specific rearrangement mutations in a large North American patient population. A mutation-specific multiplex PCR assay was used for determining the prevalence of five BRCA1 rearrangement mutations that previously had been reported to occur in unrelated patients. The mutation status of these rearrangements, which came from 20,712 patients at high risk for hereditary breast and/or ovarian cancers who had submitted specimens for clinical genetic testing, is presented. The results, obtained from 2,634 mutation carriers, showed a 6-kb duplication of exon 13, identified in 53 patients (2.01%); a 26-kb deletion encompassing exons 14-20, detected in seven patients (0.27%); a 510-bp deletion of exon 22, detected in 5 patients (0.19%); and a 3.4-kb deletion of exon 13, detected in one patient (0.04%). A previously reported 7.1-kb deletion of exons 8-9 was not found. The high frequency of the exon 13 duplication makes it the fourth most prevalent mutation in these patients. These results provide an accurate picture of the prevalence of these mutations in hereditary breast/ovarian cancer patients undergoing genetic testing in North America.

Epidemiology. DNA identifications after the 9/11 World Trade Center attack.

The attack on the World Trade Center on 9/11/2001 challenged current approaches to forensic DNA typing methods. The large number of victims and the extreme thermal and physical conditions of the site necessitated special approaches to the DNA-based identification. Because of these and many additional challenges, new procedures were created or modified from routine forensic protocols. This effort facilitated the identification of 1594 of the 2749 victims. In this Policy Forum, the authors, who were were members of the World Trade Center Kinship and Data Analysis Panel, review the lessons of the attack response from the perspective of DNA forensic identification and suggest policies and procedures for future mass disasters or large-scale terrorist attacks.

Precision and accuracy in fluorescent short tandem repeat DNA typing: assessment of benefits imparted by the use of allelic ladders with the AmpF/STR Profiler Plus kit.

Base-calling precision of short tandem repeat (STR) allelic bands on dynamic slab-gel electrophoresis systems was evaluated. Data was collected from over 6000 population database allele peaks generated from 468 population database samples amplified with the AmpF/STR Profiler Plus (PP) kit and electrophoresed on ABD 377 DNA sequencers. Precision was measured by way of standard deviations and was shown to be essentially the same, whether using fixed or floating bin genotyping. However, the allelic ladders have proven more sensitive to electrophoretic variations than database samples, which have caused some floating bins of D18S51 to shift on occasion. This observation prompted the investigation of polyacrylamide gel formulations in order to stabilize allelic ladder migration. The results demonstrate that, although alleles comprised in allelic ladders and questioned samples run on the same gel should migrate in an identical manner, this premise needs to be verified for any given electrophoresis platform and gel formulation. We show that the compilation of base-calling data is a very informative and useful tool for assessing the performance stability of dynamic gel electrophoresis systems, stability on which depends genotyping result quality.