Testing genome complexity.
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Comparative genomic in situ hybridization (CGH) provides a new possibility for searching genomes for imbalanced genetic material. Labeled genomic test DNA, prepared from clinical or tumor specimens, is mixed with differently labeled control DNA prepared from cells with normal chromosome complements. The mixed probe is used for chromosomal in situ suppression (CISS) hybridization to normal metaphase spreads (CGH-metaphase spreads). Hybridized test and control DNA sequences are detected via different fluorochromes, e.g., fluorescein isothiocyanate (FITC) and tetraethylrhodamine isothiocyanate (TRITC). The ratios of FITC/TRITC fluorescence intensities for each chromosome or chromosome segment should then reflect its relative copy number in the test genome compared with the control genome, e.g., 0.5 for monosomies, 1 for disomies, 1.5 for trisomies, etc. Initially, model experiments were designed to test the accuracy of fluorescence ratio measurements on single chromosomes. DNAs from up to five human chromosome-specific plasmid libraries were labeled with biotin and digoxigenin in different hapten proportions. Probe mixtures were used for CISS hybridization to normal human metaphase spreads and detected with FITC and TRITC. An epifluorescence microscope equipped with a cooled charge coupled device (CCD) camera was used for image acquisition. Procedures for fluorescence ratio measurements were developed on the basis of commercial image analysis software. For hapten ratios 4/1, 1/1 and 1/4, fluorescence ratio values measured for individual chromosomes could be used as a single reliable parameter for chromosome identification. Our findings indicate (1) a tight correlation of fluorescence ratio values with hapten ratios, and (2) the potential of fluorescence ratio measurements for multiple color chromosome painting. Subsequently, genomic test DNAs, prepared from a patient with Down syndrome, from blood of a patient with T-cell prolymphocytic leukemia, and from cultured cells of a renal papillary carcinoma cell line, were applied in CGH experiments. As expected, significant differences in the fluorescence ratios could be measured for chromosome types present in different copy numbers in these test genomes, including a trisomy of chromosome 21, the smallest autosome of the human complement. In addition, chromosome material involved in partial gains and losses of the different tumors could be mapped to their normal chromosome counterparts in CGH-metaphase spreads. An alternative and simpler evaluation procedure based on visual inspection of CCD images of CGH-metaphase spreads also yielded consistent results from several independent observers. Pitfalls, methodological improvements, and potential applications of CGH analyses are discussed.
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Inflation of type I error occurs when conducting a large number of statistical tests in genome-wide linkage scans. Stringent alpha-levels protect against the high numbers of expected false positives but at the cost of more false negatives. A more balanced tradeoff is provided by the theory of sequential analysis, which can be used in a genome scan even when the data are collected using a fixed-sample design. Sequential tests allow complete, simultaneous control of both the type I and II errors of each individual test while using the smallest possible sample size for analysis. For fixed samples, the excess N "saved" can be used in a confirmatory, replication phase of the original findings. Using the theory of sequential multiple decision procedures [Bechhoffer et al., 1968], we can replace the series of individual marker tests with a new single, simultaneous genome-wide test that has multiple possible outcomes and partitions all markers into two subsets: the "signal" versus the "noise," with an a priori specifiable genome-wide error rate. These tests are demonstrated for the Haseman-Elston approach, are applied to real data, and are contrasted with traditional fixed-sampling tests in Monte Carlo simulations of repeated genome-wide scans. The method allows efficient identification of the true signals in a genome scan, uses the smallest possible sample sizes, saves the excess to confirm those findings, controls both types of error, and provides one elegant solution to the debate over the best way to balance between false positives and negatives in genome scans.
Genomics is the study of the structure and function of the human genome including genes and their surrounding DNA sequences. The over 3 billion base pairs of the human genome have now been sequenced and approximately 25,000 genes acknowledged. However, only 1% of the entire genome has been assigned to protein coding and decades more work is anticipated to define the functional relevance of noncoding DNA as well as the basis and consequences of sequence variations among individuals. For medical scientists, the focus remains on discovering both disease-causing and disease-susceptibility genes. For pharmaceutical companies, the opportunity to develop molecularly targeted therapy is not going unnoticed. For the practicing physician, the prospect of genomic medicine that incorporates molecular diagnosis and pathogenesis-targeted therapy requires basic understanding of terminology and concepts in molecular biology and the corresponding laboratory tests.
Genome scan mapping experiments involve multiple tests of significance. Thus, controlling the error rate in such experiments is important. Simple extension of classical concepts results in attempts to control the genomewise error rate (GWER), i.e., the probability of even a single false positive among all tests. This results in very stringent comparisonwise error rates (CWER) and, consequently, low experimental power. We here present an approach based on controlling the proportion of false positives (PFP) among all positive test results. The CWER needed to attain a desired PFP level does not depend on the correlation among the tests or on the number of tests as in other approaches. To estimate the PFP it is necessary to estimate the proportion of true null hypotheses. Here we show how this can be estimated directly from experimental results. The PFP approach is similar to the false discovery rate (FDR) and positive false discovery rate (pFDR) approaches. For a fixed CWER, we have estimated PFP, FDR, pFDR, and GWER through simulation under a variety of models to illustrate practical and philosophical similarities and differences among the methods.
UNLABELLED: Dblox and RDblox provide a simple statistical test for duplicated genomic structure; the same programs can also be used to identify putatively duplicated regions. The method focuses on ancient duplication events involving protein-coding genes. AVAILABILITY: http://www.biol.sc.edu/~austin/
Laboratories dealing with human genome, both inherited and acquired changes, dispose with similar methods and technology. The spectrum of genetic tests is relatively broad and the number of mutations or variants tested differs substantially. Also the number of examinations carried out in individual laboratories varies. Data presented in the tables come from the year 2004 and indicate the number of examinations requested and number of positive results. Many laboratories mentioned in the registry CZDDNAL (http://www.uhkt.cz/lab_a_vysetreni/nr lab_dna_diag/dna_lab_db) perform the same tests but there is also a great number of tests carried out by only one laboratory. Reasons of the request, cost-effectiveness and clinical utility of genetic testing is being discussed.
PURPOSE: The global demand for clinical genome-wide sequencing (GWS) continues to grow. This study describes the global landscape of genetic service delivery and the barriers and facilitators to implementing clinical GWS. METHODS: A scoping review was conducted using MEDLINE and Embase (January 2009-July 2025) to identify studies related to genetic service delivery, exome and genome sequencing, and implementation. RESULTS: Ninety-six articles representing 35 countries were analyzed using the updated Consolidated Framework for Implementation Research. The most frequently reported barriers were within the outer setting: insufficient Local Conditions (ie, genetics workforce shortage; 54/96, 56%), limited Financing (29/96, 30%), and lack of national Policies and Laws (regulations) for genomic testing (20/96, 21%). Negative Local Attitudes about genomics were reported as a barrier in 11 South American, Middle Eastern, Asian, and African countries. Identified outer setting facilitators included Partnerships and Connections between interested parties (eg, government, academic institutions; 14/96, 15%) and dedicated Funding for national genomics initiatives (6/96, 6%). CONCLUSION: This scoping review identified common barriers to implementing GWS across countries with varying capacities for delivering these services. Findings may help countries to anticipate barriers, leverage facilitators, and develop strategies for implementing genomic testing and services.
Emerging viruses continue to pose serious public health threats across Africa, with recurrent outbreaks exposing gaps in diagnostics and surveillance systems. Nucleic acid amplification tests (NAATs) and genome sequencing are increasingly important for diagnostics and outbreak responses; however, their routine implementation is fragmented. This scoping review examines NAATs and genome sequencing technologies for viral detection and surveillance in Africa from 2019 to 2024, mapped to the 2024 updated WHO R&D Blueprint for Epidemics pathogen priority list. We identified 117 studies from 34 African countries reporting applications across 20 virus families, including ten designated as priorities by WHO. PCR-based assays were the most frequently reported NAATs. Illumina platforms predominated sequencing, and Oxford Nanopore Technologies were commonly used in outbreak investigations. Genome sequencing applied to priority viruses was largely reactive. NAAT-capable mobile laboratories were reported in 13 countries. Our findings underscore the need for proactive integration of NAATs into diagnostic and surveillance systems to strengthen decentralised testing, sustain genomic surveillance beyond outbreak periods, and improve early detection and preparedness for viral threats.
PURPOSE: Exome sequencing (ES) and genome sequencing (GS) are useful tests to diagnose rare diseases in pediatric patients in critical care settings. Genomic test stewardship can increase the appropriate use of these tests leading to improved diagnostics and cost savings. METHODS: A mandatory review of ES and GS orders for admitted patients was implemented in March 2023. Outcomes of the reviews, cost analysis, and subsequent test results through February 2024 were analyzed with descriptive statistics. RESULTS: There were 444 genetic test request orders placed for 412 unique patients. Of these, 81 (18.2%) were redirected and 57 (12.8%) required modification after approval, leading to an overall cost savings of $345,821.00 or $778.88 per order. The combined diagnostic rate was 28.2% in this patient population. CONCLUSION: Stewardship of ES/GS orders for pediatric inpatients is an effective tool to improve the appropriate usage of these genomic tests. Additional collaboration with stakeholders and expansion of genomic stewardship initiatives may shorten the diagnostic odyssey for critically ill pediatric patients and result in cost savings.
Obtaining adequate tissue for histologic diagnoses and genomic testing can be challenging in metastatic lung cancer, particularly when conventional biopsy approaches are nondiagnostic. The study reports an effective salvage strategy using endoscopic ultrasound (EUS)-guided adrenal tissue acquisition in two cases. A 66-year-old woman (case 1) developed recurrent lung adenocarcinoma with progressive metastases to the left adrenal, liver, and lungs following multiple lines of systemic therapy. A percutaneous biopsy of a suspected liver metastasis proved nondiagnostic. Subsequently, transgastric EUS-guided biopsy was performed, which confirmed metastatic adenocarcinoma originating in the lung. Oncomine-based genomic testing detected a human epidermal growth factor receptor 2 exon 20 insertion. Trastuzumab deruxtecan was subsequently introduced, resulting in disease stabilization for 6 months. A 75-year-old man (case 2) developed bilateral pulmonary nodules and a right adrenal mass detected on positron emission tomography. Bronchoscopy failed to yield diagnostic tissue. Following careful review of cross-sectional anatomy, EUS-guided biopsy of the right adrenal gland was safely performed via the duodenal bulb, confirming metastatic squamous cell carcinoma and yielding adequate tissue for genomic testing. EUS-guided adrenal biopsy, including transduodenal sampling of the right adrenal gland, may provide tissue for histopathologic and precision oncology testing, facilitating definitive diagnoses.
Recent progress in the development of single-nucleotide polymorphism (SNP) maps within genes and across the genome provides a valuable tool for fine-mapping and has led to the suggestion of genomewide association studies to search for susceptibility loci for complex traits. Test statistics for genome association studies that consider a single marker at a time, ignoring the linkage disequilibrium between markers, are inefficient. In this study, we present a generalized T2 statistic for association studies of complex traits, which can utilize multiple SNP markers simultaneously and considers the effects of multiple disease-susceptibility loci. This generalized T2 statistic is a corollary to that originally developed for multivariate analysis and has a close relationship to discriminant analysis and common measure of genetic distance. We evaluate the power of the generalized T2 statistic and show that power to be greater than or equal to those of the traditional chi2 test of association and a similar haplotype-test statistic. Finally, examples are given to evaluate the performance of the proposed T2 statistic for association studies using simulated and real data.
Different classes of porcine endogenous retroviruses (PERVs), which have the potential to infect humans during xenotransplantation, have been isolated from the pig genome. Because vertebrate genomes may contain numerous endogenous retrovirus sequences, the pig genome was examined for additional endogenous retroviruses, resulting in the isolation of a novel, complete endogenous retrovirus genome, designated PERV-E. The gag, pol and env genes of PERV-E are closely related to those of human endogenous retrovirus (HERV) 4-1, which belongs to the HERV-E family. Results of studies to determine the presence and copy number of PERVs demonstrated that PERV-E and PERV-A/B-like proviruses were present in all genomes tested, but that PERV-C was not found in two of the species examined, including wild boar. Multiple copies of PERVs could be found in each pig genome. Among all of the pig genomes tested, the wild boar genome had the lowest copy number of all PERVs, suggesting that the number of integrations of complete endogenous retroviruses is increased by inbreeding.
Linkage and association analyses have played important roles in identifying susceptibility genes for complex diseases. Linkage tests and family-based tests of association are often applied in the same data to help fine-map disease loci or validate results. This paradigm increases efficiency by making maximal use of family data sets. However, it is not intuitively clear under what conditions association and linkage tests performed in the same data set may be correlated. Understanding this relationship is important for interpreting the combined results of both tests. We used computer simulations and theoretical statements to estimate the correlation between linkage statistics (affected sib pair maximum LOD scores) and family-based association statistics (pedigree disequilibrium test (PDT) and association in the pressure of linkage (APL)) under various hypotheses. Different types of pedigrees were studied: nuclear families with affected sib pairs, extended pedigrees and incomplete pedigrees. Both simulation and theoretical results showed that when there is no linkage or no association, the linkage and association tests are not correlated. When there is linkage and association in the data, the two tests have a positive correlation. We concluded that when linkage and association tests are applied in the same data, the type I error rate of neither test will be affected and that power can be increased by applying tests conditionally.
To allow the efficient construction of ordered clone libraries, we have been investigating the use of 'oligonucleotide fingerprinting' as an approach to identify overlapping clones, and ultimately restore the linear order of the clone set. To test the effectiveness of the procedure, we have constructed a cosmid library from the genome of the human DNA virus HSV-I and used hybridisation to multiple oligonucleotides selected from the nucleotide sequence to reconstruct the order of clones and oligonucleotides on the genome.
For the optimal performance of high throughput genomic technologies sufficient yields of high-quality DNA are crucial. Following microdissection, most samples fail to produce sufficient quantities of DNA for genome-wide experiments. Various PCR-based amplification methods have been used, but these usually produce nonuniform representations of the genome. Bacteriophage Phi29 DNA polymerase random-primed DNA amplification is based on isothermal multiple displacement amplification. We sought to define the genome representation of this method in a bacterial artificial chromosome microarray comparative genomic hybridisation (aCGH) platform. Test genomic female DNA was amplified using Phi29 amplification at four different starting concentrations (0.5, 5, 10 and 50 ng). These products were combined with unamplified and amplified genomic female DNA as reference. In addition, 50 ng of DNA from five microdissected breast cancer frozen samples, were amplified using the same method. Three combinations were performed: unamplified test with unamplified reference, amplified test with unamplified reference and both amplified tumour and reference DNA. aCGH was performed with an in-house 16 K BAC platform (a resolution of approximately 100 Kb). Pearson's correlation tests and hierarchical clustering were performed to compare the profiles obtained. aCGH profiles obtained with amplified test and unamplified reference female genomic DNA showed copy number biases throughout the genome. These biases were more conspicuous with smaller amounts of starting material and mapped to regions of known copy number polymorphisms. When similar concentrations of test and reference DNA were amplified, the biases were significantly reduced, rendering accurate profiles. For the tumours, representative profiles were obtained when both test and reference DNA were amplified. Phi29 amplification induces copy number biases and unamplified material remains the gold standard for copy number analysis. For accurate results using Phi29 amplification, samples subjected to aCGH analysis should be combined with reference DNA amplified with the same method, using similar amounts of starting template.