SEARCH · Search PubMed

Results for “Genomic screening”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 199 records · Page 11Linked to original sources

PubMed1997

The genetic analysis of multiple sclerosis.

Although monogenic diseases often show extreme clinical phenotypes, the major burden of genetic ill health lies in the more prevalent polygenic disorders, such as diabetes, hypertension and multiple sclerosis. These conditions affect many thousands of individuals and their management consumes vast amounts of health care resources: in the UK some 80,000 people have multiple sclerosis; the estimated financial cost to society of introducing treatments, such as beta interferon, could be as high as 250 million pounds per year. Knowledge on the genetics of these common diseases is poor, but has potentially received a considerable boost with the arrival of whole genome screening. The genome screen in insulin-dependent diabetes mellitus (IDDM) reported in 1994 was the first in a human polygenic disease. Since this publication, whole genome screening has been performed in a variety of human polygenic diseases, including schizophrenia, bipolar affective disorder, non-insulin-dependent diabetes mellitus (NIDDM), inflammatory bowel disease, asthma and multiple sclerosis.

Americas↗

PubMed2004

High-throughput screening of genome fragments bound to differentially acetylated histones.

Although acetylation-deacetylation of histones contributes to regulation of gene expression, few methods have been available to determine the whole-genome histone acetylation profile in specific cells or tissues. We have now developed a genome-wide screening method, differential chromatin scanning (DCS), to isolate genome fragments embedded in histones subject to differential acetylation. This DCS screening was applied to a human gastric cancer cell line incubated with or without an inhibitor of histone deacetylase (HDAC) activity, resulting in the rapid identification of more than 250 genome fragments. Interestingly, a number of cancer-related genes were revealed to be the targets of HDAC in the cancer cells, including those for tumour protein 73 and cell division cycle 34. Such differential acetylation of histone was also shown to be linked to the regulation of transcriptional activity of the corresponding genes. Among the isolated genome fragments, 94% (32/34) of them were confirmed to be bound to differentially acetylated histones, and the genes corresponding to 78% (7/9) of them exhibited differential transcriptional activity consistent with the level of histone acetylation. With its high fidelity, the DCS method should open a possibility to rapidly compare the genome-wide histone acetylation profiles and to provide novel insights into molecular carcinogenesis.

Acetylation↗

PubMed2002

Automated screening for genomic imbalances using matrix-based comparative genomic hybridization.

Genome-wide screening for chromosomal imbalances using comparative genomic hybridization (CGH) revealed a wealth of data on previously unrecognized tumor-specific genomic alterations. CGH to microarrays of DNA, an approach termed matrix-CGH, allows detection of genomic imbalances at a much higher resolution. We show that matrix CGH is also feasible from small tissue samples requiring universal amplification of genomic DNA. Because widespread application of matrix-CGH experiments using large numbers of DNA targets demands a high degree of automation, we have developed a protocol for a fully automated procedure. The use of specialized instrumentation for the generation of DNA chips, their hybridization, scanning, and evaluation required numerous alterations and modifications of the initial protocol. We here present the elaboration and testing of automated matrix-CGH. A chip consisting of 188 different genomic DNA fragments, cloned in bacterial artificial chromosome (BAC) or P1-derived artificial chromosome (PAC) vectors and immobilized in replicas of 10, was used to assess the performance of the automated protocol in determining the gene dosage variations in tumor cell lines COLO320-HSR, HL60, and NGP. Although ratios of matrix-CGH were highly concordant with results of chromosomal CGH (85%), the dynamic range of the matrix-CGH ratios was highly superior. Investigation of the two amplicons on 8q24 in COLO320-HSR and HL60, containing the MYC gene, revealed a homogeneous amplicon in COLO320-HSR but a heterogeneous amplification pattern in HL60 cells. Although control clones for normalization of the signal ratios can be predicted in cases with defined chromosomal aberrations, in primary tumors such data are often not available, requiring alternative normalization algorithms. Testing such algorithms in a primary high-grade B-cell lymphoma, we show the feasibility of this approach. With the matrix-CGH protocol presented here, robust and reliable detection of genomic gains and losses is accomplished in an automated fashion, which provides the basis for widespread application in tumor and clinical genetics.

Chromosome Aberrations↗

PubMed2026

Development of a low-coverage whole genome sequencing screen for apomixis using a diverse set of Malus germplasm.

In the past decade, plant biologists have made several major discoveries pertaining to the genetic basis of apomixis (clonal propagation by seed) that have shown promise in preserving high-value hybrid rice and sorghum genotypes. This progress was made possible by foundational gene discovery efforts in model species and natural apomicts, but pleiotropic obstacles still limit its broad agricultural adoption, especially in eudicots. Thus, it follows that investigations of novel apomicts should lead to the development of new molecular tools for plant breeding. The two most common ways to identify clonal seed production are flow-cytometry seed screens and genome sequencing to compare the DNA sequences of the maternal parent and progeny, traditionally using low-throughput markers. While flow-cytometry has been the dominant method for more than two decades, it provides indirect information on the genetics of a resulting embryo and can be ineffective in certain species. Here we developed a method using short-read whole-genome sequencing at moderately low coverage (averaging 3X and 6X) to screen diverse Malus genotypes maintained in a USDA germplasm collection for clonal seed production. In total, we sequenced 55 genotypes, 1,216 of their embryos, and identified 17 previously undescribed apomictic genotypes. Several more were detected with the flow cytometry seed screen, which helped resolve certain types of reproduction and sources of noise in low-coverage datasets. This low-pass screening-by-sequencing method is a relatively low-cost, rapid method for detecting apomictic genotypes in diverse plant germplasm and when used thoughtfully in conjunction with flow cytometry, provides a new way to visualize the genetic outcomes of sexual and asexual reproduction in plants.

Apomixis↗

PubMed1997

RAPD-based screening of genomic libraries for positional cloning.

RAPD markers are frequently used for positional cloning. However, RAPD markers often contain repeated sequences which prevent genomic library screening by hybridisation. We have developed a simple RAPD analysis of genomic libraries based on the identification of cosmid pools and clones amplifying the RAPD marker of interest. Our method does not require the cloning or characterisation of the RAPD marker as it relies on the analysis of cosmid pools or clones using a simple RAPD protocol. We applied this strategy using four RAPD markers composed of single copy or repeated sequences linked to avirulence genes of the rice blast fungus Magnaporthe grisea . Cosmids containing these RAPD markers were easily and rapidly identified allowing the construction of physical contigs at these loci.

Ascomycota↗

PubMed2001

Characterization of a minimal screening set of 172 microsatellite markers for genome-wide screens of the canine genome.

We have characterized a subset of 172 microsatellite markers from the canine map, termed 'Minimal Screening Set 1' (Canine MSS-1), which we propose be used for initial genome-wide genetic linkage studies. Three hierarchical criteria were used to select markers from the current meiotic linkage and radiation hybrid maps for MSS-1. Markers were selected that (1) provided as complete coverage as possible of the canine genome, (2) were highly informative, and (3) have been ordered in linkage groups with a high degree of statistical support. This resulting screening set spans all reported meiotic linkage and RH groups, leaving only 10 known gaps > or = 20 cM. The average polymorphic information content (PIC) value of markers tested is 0.74. Coverage estimates suggest 42% of the genome is within 5 cM of at least one marker in the minimal screening set, 77% of the genome is within 10 cM. This minimal mapping set therefore provides an efficient and cost effective way to begin screening pedigrees of interest for genetic linkage.

Animals↗

PubMed2024

Estimating the sensitivity of genomic newborn screening for treatable inherited metabolic disorders.

PURPOSE: Over 30 research groups and companies are exploring newborn screening using genomic sequencing (NBSeq), but the sensitivity of this approach is not well understood. METHODS: We identified individuals with treatable inherited metabolic disorders (IMDs) and ascertained the proportion whose DNA analysis revealed explanatory deleterious variants (EDVs). We examined variables associated with EDV detection and estimated the sensitivity of DNA-first NBSeq. We further predicted the annual rate of true-positive and false-negative NBSeq results in the United States for several conditions on the Recommended Uniform Screening Panel. RESULTS: We identified 635 individuals with 80 unique IMDs. In univariate analyses, Black race (OR = 0.37, 95% CI: 0.16-0.89, P = .02) and public insurance (OR = 0.60, 95% CI: 0.39-0.91, P = .02) were less likely to be associated with finding EDVs. Had all individuals been screened with NBSeq, the sensitivity would have been 80.3%. We estimated that between 0 and 649.9 cases of Recommended Uniform Screening Panel IMDs would be missed annually by NBSeq in the United States. CONCLUSION: The overall sensitivity of NBSeq for treatable IMDs is estimated at 80.3%. That sensitivity will likely be lower for Black infants and those who are on public insurance.

Humans↗

PubMedDate not supplied

Oligonucleotide sequences similar to transcription factor consensi of nuclear genes are present in the human mitochondrial genome.

Screening the mitochondrial genome for binding sites for known nuclear transcription factors revealed oligonucleotide sequences identical or with over 85% similarity to consensi sequences for twenty-one transcription factors, modulating nuclear genes involved, among others, in cell proliferation, inflammation and synthesis of ribosomal and mitochondrial proteins. Two of these sequences were found in the D-loop, the others dispersed among structural genes for respiratory enzyme subunits, for t-RNAs and for rRNAs. We hypothesize that the transcription factors corresponding to the detected mitochondrial binding sites and the agents controlling the availability of these factors could play a regulatory role in the diverse functions of mitochondria, such as energy production, differentiation and apoptosis.

Binding Sites↗

PubMed2003

Screening the genome for rheumatoid arthritis susceptibility genes: a replication study and combined analysis of 512 multicase families.

OBJECTIVE: A number of non-HLA loci that have shown evidence (P < 0.05) for linkage with rheumatoid arthritis (RA) have been previously identified. The present study attempts to confirm these findings. METHODS: We performed a second genome-wide screen of 256 new multicase RA families recruited from across the United States by the North American Rheumatoid Arthritis Consortium. Affected sibling pair analysis on the new data set was performed using SIBPAL. We subsequently combined our first and second data sets in an attempt to enhance the evidence for linkages in a larger sample size. We also evaluated the impact of covariates on the support for linkage, using LODPAL. RESULTS: Evidence of linkage at 1p13 (D1S1631), 6p21.3 (the HLA complex), and 18q21 (D18S858) (P < 0.05) was replicated in this independent data set. In addition, there was new evidence for linkage at 9p22 (D9S1121 [P = 0.001]) and 10q21 (D10S1221 [P = 0.0002] and D10S1225 [P = 0.0038]) in the current data set. The combined analysis of both data sets (512 families) showed evidence for linkage at the level of P < 0.005 at 1p13 (D1S1631), 1q43 (D1S235), 6q21 (D6S2410), 10q21 (D10S1221), 12q12 (D12S398), 17p13 (D17S1298), and 18q21 (D18S858). Linkage at HLA was also confirmed (P < 5 x 10(-12)). Inclusion of DRB1*04 as a covariate significantly increased the probability of linkage on chromosome 6. In addition, some linkages on chromosome 1 showed improved significance when modeling DRB1*04 or rheumatoid factor positivity as covariates. CONCLUSION: These results provide a rational basis for pursuing high-density linkage and association studies of RA in several regions outside of the HLA region, particularly on chromosomes 1p, 1q, and 18q.

Arthritis, Rheumatoid↗

PubMed2005

New genes tied to endocrine, metabolic, and dietary regulation of lifespan from a Caenorhabditis elegans genomic RNAi screen.

Most of our knowledge about the regulation of aging comes from mutants originally isolated for other phenotypes. To ask whether our current view of aging has been affected by selection bias, and to deepen our understanding of known longevity pathways, we screened a genomic Caenorhabditis elegans RNAi library for clones that extend lifespan. We identified 23 new longevity genes affecting signal transduction, the stress response, gene expression, and metabolism and assigned these genes to specific longevity pathways. Our most important findings are (i) that dietary restriction extends C. elegans' lifespan by down-regulating expression of key genes, including a gene required for methylation of many macromolecules, (ii) that integrin signaling is likely to play a general, evolutionarily conserved role in lifespan regulation, and (iii) that specific lipophilic hormones may influence lifespan in a DAF-16/FOXO-dependent fashion. Surprisingly, of the new genes that have conserved sequence domains, only one could not be associated with a known longevity pathway. Thus, our current view of the genetics of aging has probably not been distorted substantially by selection bias.

Journal Article↗

PubMed2006

A genome-wide screen reveals functional gene clusters in the cancer genome and identifies EphA2 as a mitogen in glioblastoma.

A novel genome-wide screen that combines patient outcome analysis with array comparative genomic hybridization and mRNA expression profiling was developed to identify genes with copy number alterations, aberrant mRNA expression, and relevance to survival in glioblastoma. The method led to the discovery of physical gene clusters within the cancer genome with boundaries defined by physical proximity, correlated mRNA expression patterns, and survival relatedness. These boundaries delineate a novel genomic interval called the functional common region (FCR). Many FCRs contained genes of high biological relevance to cancer and were used to pinpoint functionally significant DNA alterations that were too small or infrequent to be reliably identified using standard algorithms. One such FCR contained the EphA2 receptor tyrosine kinase. Validation experiments showed that EphA2 mRNA overexpression correlated inversely with patient survival in a panel of 21 glioblastomas, and ligand-mediated EphA2 receptor activation increased glioblastoma proliferation and tumor growth via a mitogen-activated protein kinase-dependent pathway. This novel genome-wide approach greatly expanded the list of target genes in glioblastoma and represents a powerful new strategy to identify the upstream determinants of tumor phenotype in a range of human cancers.

Brain Neoplasms↗

PubMed1998

A second-generation screen of the human genome for susceptibility to insulin-dependent diabetes mellitus.

During the past decade, the genetics of type 1 (insulin-dependent) diabetes mellitus (IDDM) has been studied extensively and the disorder has become a paradigm for genetically complex diseases. Previous genome screens and studies focused on candidate genes have provided evidence for genetic linkage between polymorphic DNA markers and 15 putative IDDM susceptibility loci, designated IDDM1-IDDM15. We have carried out a second-generation screen of the genome for linkage and analysed the data by multipoint linkage methods. An initial panel of 212 affected sibpairs (ASPs) was genotyped for 438 markers spanning all autosomes, and an additional 467 ASPs were used for follow-up genotyping. Other than the well-established linkage with the HLA region at chromosome 6p21.3, there was only one region, located on chromosome 1q and not previously reported, where the log likelihood ratio (lod) was greater than 3. Lods between 1.0 and 1.8 were found in six other regions, three of which have been reported in other studies. Another reported region, on chromosome 6q and loosely linked to HLA, also had an elevated lod. Little or no support was found for most reported IDDM loci (lods were less than 1), despite larger sample sizes in the present study.

Chromosome Mapping↗

PubMed2003

New candidate loci for multiple sclerosis susceptibility revealed by a whole genome association screen in a Belgian population.

We have completed a whole genome screen for association with multiple sclerosis (MS) in a Belgian population. The 6000 microsatellite markers provided through the Genetic Association of Multiple Sclerosis in EuropeanS (GAMES) collaborative were genotyped in case-control and family-based samples. The 20 most promising markers included three markers (D6S1615, D6S2444 and TNFa) from the classically established HLA class II cluster and one (D6S265) from the recently re-emphasized HLA class I cluster. In other highlighted regions, preliminary candidate genes from the immune system have been identified: e.g. the integrin ligand EDIL3, the high-mobility group box protein TOX, neutral sphingomyelinase activating factor (NSMAF) and the B-cell specific transcription factor POU2AF1.

Belgium↗

PubMed1999

A primary screen of the bovine genome for quantitative trait loci affecting carcass and growth traits.

A primary genomic screen for quantitative trait loci (QTL) affecting carcass and growth traits was performed by genotyping 238 microsatellite markers on 185 out of 300 total progeny from a Bos indicus x Bos taurus sire mated to Bos taurus cows. The following traits were analyzed for QTL effects: birth weight (BWT), weaning weight (WW), yearling weight (YW), hot carcass weight (HCW), dressing percentage (DP), fat thickness (FT), marbling score (MAR), longissimus muscle area (LMA), rib bone (RibB), rib fat (RibF), and rib muscle (RibM), and the predicted whole carcass traits, retail product yield (RPYD), fat trim yield (FATYD), bone yield (BOYD), retail product weight (RPWT), fat weight (FATWT), and bone weight (BOWT). Data were analyzed by generating an F-statistic profile computed at 1-cM intervals for each chromosome by the regression of phenotype on the conditional probability of receiving the Brahman allele from the sire. There was compelling evidence for a QTL allele of Brahman origin affecting an increase in RibB and a decrease in DP on chromosome 5 (BTA5). Putative QTL at or just below the threshold for genome-wide significance were as follows: an increase in RPYD and component traits on BTA2 and BTA13, an increase in LMA on BTA14, and an increase in BWT on BTA1. Results provided represent a portion of our efforts to identify and characterize QTL affecting carcass and growth traits.

Animals↗

PubMed2006

Joining high-throughput technology with in silico modelling advances genome-wide screening towards targeted discovery.

Genome research has entered the functional evaluation phase now and high-throughput (HT) methods provide an enormous amount of raw data for that purpose. However, functional verification still requires experimental regimens not suitable for application in a HT style, requiring an efficient discovery and selection process pinpointing biological mechanisms and processes for subsequent targeted verification. Regulatory networks and underlying molecular mechanisms can now be deduced through the interpretation of HT-data in the context of biologic knowledge. Computational models of promoter structures are suitable for genome-wide searches and a number of recent examples demonstrate their usefulness in prediction and selection of functional targets for experimental verification.

Computer Simulation↗

PubMed2025

Assessment of the variant prioritization strategy for genomic newborn screening in the Generation Study.

PURPOSE: Genomic sequencing offers the opportunity to screen for hundreds of rare genetic conditions. To minimize potential negative impact on families and clinical services, it is crucial to reduce false-positive results while prioritizing clinical utility. We present an automated variant prioritization approach in the Generation Study, a research study investigating genomic sequencing in 100,000 newborns in England. Prioritized variants will subsequently undergo manual review by a registered clinical scientist and a specialist clinician before being reported back to parents. METHODS: We assessed specificity of our automated variant prioritization approach in 34,410 samples not enriched for rare diseases and sensitivity in 546 samples from patients with diagnostic variants in genes relevant to newborn screening. We used coverage and copy-number variants callability metrics to evaluate variant detection. RESULTS: We estimated that 3% to 5% of samples will have prioritized variants that require manual review and that <1% of cases will have reportable variants requiring further confirmation of the condition. Sensitivity in genes included in the Generation Study was estimated to be approximately 80%. Gene-level specificity results led to changes in variant prioritization rules and conditions that are included. CONCLUSION: Gene-specific assessment of variant prioritization is crucial to establish analytical validity prior to inclusion in genomic newborn screening.

Humans↗

PubMed1999

Genome-wide screen for systemic lupus erythematosus susceptibility genes in multiplex families.

Systemic lupus erythematosus (SLE) is the prototype of human autoimmune diseases. Its genetic component has been suggested by familial aggregation (lambdas = 20) and twin studies. We have screened the human genome to localize genetic intervals that may contain lupus susceptibility loci in a sample of 188 lupus patients belonging to 80 lupus families with two or more affected relatives per family using the ABI Prism linkage mapping set which includes 350 polymorphic markers with an average spacing of 12 cM. Non-parametric multipoint linkage analysis suggests evidence for predisposing loci on chromosomes 1 and 18. However, no single locus with overwhelming evidence for linkage was found, suggesting that there are no 'major' susceptibility genes segregating in families with SLE, and that the genetic etiology is more likely to result from the action of several genes of moderate effect. Furthermore, the support for a gene in the 1q44 region as well as in the 1p36 region is clearly found only in the Mexican American families with SLE but not in families of Caucasian ethnicity, suggesting that consideration of each ethnic group separately is crucial.

Chromosomes, Human, Pair 1↗

PubMed2001

Improved pattern for genome-based screening identifies novel cell wall-attached proteins in gram-positive bacteria.

With a large number of sequenced microbial genomes available, tools for identifying groups or classes of proteins have become increasingly important. Here we present an improved pattern for the identification of cell wall-attached proteins (CWPs), a group of proteins with diverse and important functions in gram-positive bacteria. This tripartite pattern is based on analysis of 65 previously described cell wall-attached proteins and takes into account the three principal requirements for cell wall sorting; a sortase target region (LPXTGX), a membrane-spanning region, and a charged stop-transfer tail. In five different genomes of gram-positive bacteria, the tripartite pattern identified a total of 35 putative CWPs, 19 of which were novel. The specificity and sensitivity of the tripartite pattern are higher than those of the classical pattern, which is based solely on the sortase target region. Several putative CWPs with atypical sortase target regions were identified. In the complete genome of the important human pathogen Streptococcus pyogenes, the tripartite pattern identified 14 putative CWPs. Seven of the putative S. pyogenes proteins were novel, and two of these were a 5' nucleotidase and a pullulanase. This study represents the first whole-genome screening for CWPs, and we conclude that the tripartite pattern is highly suitable for this purpose. Identification of CWPs using this pattern offers important possibilities in the study of the pathogenesis and physiology of gram-positive bacteria.

Amino Acid Sequence↗