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Dietrich A Stephan

Publications and source records attributed to Dietrich A Stephan.

At least 37 records · Page 2Linked to original sources
PubMed2005

Identification of disease causing loci using an array-based genotyping approach on pooled DNA.

BACKGROUND: Pooling genomic DNA samples within clinical classes of disease followed by genotyping on whole-genome SNP microarrays, allows for rapid and inexpensive genome-wide association studies. Key to the success of these studies is the accuracy of the allelic frequency calculations, the ability to identify false-positives arising from assay variability and the ability to better resolve association signals through analysis of neighbouring SNPs. RESULTS: We report the accuracy of allelic frequency measurements on pooled genomic DNA samples by comparing these measurements to the known allelic frequencies as determined by individual genotyping. We describe modifications to the calculation of k-correction factors from relative allele signal (RAS) values that remove biases and result in more accurate allelic frequency predictions. Our results show that the least accurate SNPs, those most likely to give false-positives in an association study, are identifiable by comparing their frequencies to both those from a known database of individual genotypes and those of the pooled replicates. In a disease with a previously identified genetic mutation, we demonstrate that one can identify the disease locus through the comparison of the predicted allelic frequencies in case and control pools. Furthermore, we demonstrate improved resolution of association signals using the mean of individual test-statistics for consecutive SNPs windowed across the genome. A database of k-correction factors for predicting allelic frequencies for each SNP, derived from several thousand individually genotyped samples, is provided. Lastly, a Perl script for calculating RAS values for the Affymetrix platform is provided. CONCLUSION: Our results illustrate that pooling of DNA samples is an effective initial strategy to identify a genetic locus. However, it is important to eliminate inaccurate SNPs prior to analysis by comparing them to a database of individually genotyped samples as well as by comparing them to replicates of the pool. Lastly, detection of association signals can be improved by incorporating data from neighbouring SNPs.

Alleles↗
PubMed2005

Rare variants of the gene encoding the potassium chloride co-transporter 3 are associated with bipolar disorder.

Recessive mutations of the potassium chloride co-transporter 3 gene ( SLC12A6 , KCC3 ) cause severe peripheral neuropathy frequently associated with agenesis of the corpus callosum and psychoses (ACCPN). SLC12A6 is localized on chromosome 15q14, a region where linkage to schizophrenia and bipolar disorder has previously been shown. Mutation analysis of SLC12A6 was carried out by direct sequencing of PCR-generated DNA fragments in two affected members of a multiplex family, and three non-affected individuals. A case-control study was performed to assess association of variants with bipolar disorder and schizophrenia in a large sample. Several variants including two rare single nucleotide polymorphisms (G/A, G/A) in the promoter and 5'-UTR, and a thymidine insertion in intron 4 were found. The two G variants and the insertion variant were co-inherited with chromosome 15-related schizophrenia in a large family that strongly supports the region on chromosome 15q14-15 between markers D15S144 and D15S132. Furthermore, they are in linkage disequilibrium with each other, and significantly associated with bipolar disorder in a case-control study. Our data strongly suggest that rare variants of SLC12A6 may represent risk factors for bipolar disorder.

5' Untranslated Regions↗
PubMed2005

A major locus for hereditary prostate cancer in Finland: localization by linkage disequilibrium of a haplotype in the HPCX region.

BACKGROUND: Prostate cancer (PRCA) is the most common cancer in males in the western world. In Finland PRCA has an age-adjusted incidence of 81.5 per 100,000. We previously reported that in Finland, the late-onset cases in families with "no-male-to-male" (NMM) transmission of PRCA accounted for most of the linkage to the HPCX region (Xq27-28). The aim of the present study was to test for linkage disequilibrium (LD) and haplotype-sharing around marker DXS1205 between cases from hereditary prostate cancer (HPC) families and population controls. The initial allelic association was performed between 108 PRCA cases and 257 population controls genotyped for 23 markers in the Xq26-28 region. This resulted in a highly significant nominal one-sided Fisher's exact P-value of 0.0003 for allele ''180'' of marker DXS1205. Subsequently, a similar level of significance was observed for the same allele for marker DXS1205 (P=0.0002) when comparing 60 NMM cases and 257 controls. These results were still significant after Bonferroni correction for multiple testing. Fine mapping efforts included the genotyping of four additional markers D3S2390, bG82i1.9, bG82i1.1, bG82i1.0 and four single nucleotide polymorphisms (SNPs) to augment the original markers around DXS1205. RESULTS: Our major finding is that markers extending from ''D3S2390'' to ''bG82i1.0'' flank the critical locus, about 150 kb. Levin and Bertell's LD measure (delta), a guide to localization of a possible variant, was 0.42 and 0.41 for alleles of markers bG82i1.9 and DXS1205, respectively. CONCLUSIONS: In this study, the most significant haplotype comprised the three tightly linked, contiguous markers: ''cen-bG82i1.9-SNP-Hap B-bG82i1.1-tel'' [''197-2-234''] among several possible haplotypes (nominal Fisher's one-sided P=0.003). The two transcription units mapping within this interval are the LDOC1 and SPANXC genes. Positional cloning of the HPCX gene(s) is being facilitated by this exploration of the Xq26-28 region. This study represents the first report identifying a haplotype in the Xq27-28 region for an association between HPCX and X-linked prostate cancer with no-male-to-male transmission in the Finnish population.

Chromosome Mapping↗
PubMed2005

Therapeutic targets for HIV-1 infection in the host proteome.

BACKGROUND: Despite the success of HAART, patients often stop treatment due to the inception of side effects. Furthermore, viral resistance often develops, making one or more of the drugs ineffective. Identification of novel targets for therapy that may not develop resistance is sorely needed. Therefore, to identify cellular proteins that may be up-regulated in HIV infection and play a role in infection, we analyzed the effects of Tat on cellular gene expression during various phases of the cell cycle. RESULTS: SOM and k-means clustering analyses revealed a dramatic alteration in transcriptional activity at the G1/S checkpoint. Tat regulates the expression of a variety of gene ontologies, including DNA-binding proteins, receptors, and membrane proteins. Using siRNA to knock down expression of several gene targets, we show that an Oct1/2 binding protein, an HIV Rev binding protein, cyclin A, and PPGB, a cathepsin that binds NA, are important for viral replication following induction from latency and de novo infection of PBMCs. CONCLUSION: Based on exhaustive and stringent data analysis, we have compiled a list of gene products that may serve as potential therapeutic targets for the inhibition of HIV-1 replication. Several genes have been established as important for HIV-1 infection and replication, including Pou2AF1 (OBF-1), complement factor H related 3, CD4 receptor, ICAM-1, NA, and cyclin A1. There were also several genes whose role in relation to HIV-1 infection have not been established and may also be novel and efficacious therapeutic targets and thus necessitate further study. Importantly, targeting certain cellular protein kinases, receptors, membrane proteins, and/or cytokines/chemokines may result in adverse effects. If there is the presence of two or more proteins with similar functions, where only one protein is critical for HIV-1 transcription, and thus, targeted, we may decrease the chance of developing treatments with negative side effects.

Base Sequence↗
PubMed2005

Discovery and development of biomarkers of neurological disease.

The identification of clinically relevant biomarkers for neurological diseases poses unique challenges. These include an historical lack of availability of relevant tissues from the site of pathology, relatively poorly matured techniques for disease diagnosis, the complexity and cellular heterogeneity of the brain, and a clear deficiency of models for functional validation of candidate biomarkers. Here, the unique challenges that neurological disorders introduce to biomarker discovery are described and how modern technological advances in genomics, proteomics and metabolomics are overcoming these obstacles and are driving the discovery of novel biomarkers to improve early diagnosis and therapeutic treatment is discussed.

Animals↗
PubMed2005

An expression signature classifies chemotherapy-resistant pediatric osteosarcoma.

Osteosarcoma is the most common malignant bone tumor in children. Osteosarcoma patients who respond poorly to chemotherapy are at a higher risk of relapse and adverse outcome. Therefore, it was the aim of this study to identify prognostic factors at the time of diagnosis to characterize the genes predictive of poor survival outcome and to identify potential novel therapeutic targets. Expression profiling of 30 osteosarcoma diagnostic biopsy samples, 15 with inferior necrosis following induction chemotherapy (Huvos I/II) and 15 with superior necrosis following induction chemotherapy (Huvos III/IV), was conducted using Affymetrix U95Av2 oligonucleotide microarrays. One hundred and four genes were found to be statistically significant and highly differentially expressed between Huvos I/II and III/IV patients. Statistically significant genes were validated on a small independent cohort comprised of osteosarcoma xenograft tumor samples. Markers of Huvos I/II response predominantly were gene products involved in extracellular matrix (ECM) microenvironment remodeling and osteoclast differentiation. A striking finding was the significant decrease in osteoprotegerin, an osteoclastogenesis inhibitory factor. Additional genes involved in osteoclastogenesis and bone resorption, which were statistically different, include annexin 2, SMAD, PLA2G2A, and TGFbeta1. ECM remodeling genes include desmoplakin, SPARCL1, biglycan, and PECAM. Gene expression of select genes involved in tumor progression, ECM remodeling, and osteoclastogenesis were validated via quantitative reverse transcription-PCR in an independent cohort. We propose that osteosarcoma tumor-driven changes in the bone microenvironment contribute to the chemotherapy-resistant phenotype and offer testable hypotheses to potentially enhance therapeutic response.

Animals↗
PubMed2005

Resistance to apoptosis, increased growth potential, and altered gene expression in cells that survived genotoxic hexavalent chromium [Cr(VI)] exposure.

Certain hexavalent chromium [Cr(VI)] compounds are known genotoxic respiratory carcinogens, which induce apoptosis as a predominant mode of cell death. Selection of cells that are resistant to apoptosis may be a factor in tumour progression. We developed sub-populations of telomerase-transfected human fibroblasts (BJ-hTERT) that survived a 99% clonogenically lethal exposure to Cr(VI) (B-5Cr). B-5Cr cells were markedly resistant to apoptosis induced by several agents and exhibited increased clonogenic survival, especially at apoptogenic doses. B-5Cr cells did not exhibit altered cellular uptake of Cr(VI) and retained a normal p53 response to Cr(VI) exposure. We conducted large-scale gene expression analysis at different time-points after a secondary genotoxic Cr(VI) insult in B-5Cr and BJ-hTERT cells using Affymetrix Genechip human genome arrays. Cr(VI) exposure led to differential regulation of many genes, which affect a diverse set of cellular activities such as transcription, signal transduction, stress response, cell adhesion, DNA repair, apoptosis and cell cycle modulation. We compared Cr(VI)-induced altered gene expression in the B-5Cr cells to that in the parental cells and identified 223, 147 and 204 genes with at least a two-fold difference in expression at 4, 8 and 18 h after exposure, respectively. Cluster analysis by gene function revealed altered expression of genes involved in apoptosis, cell cycle regulation and DNA repair. Our data suggest an alteration in gene expression that may favor cell survival and/or incomplete DNA repair after genotoxic exposure. Selection of cells with altered expression of these genes may constitute the early stages of tumour progression.

Apoptosis↗
PubMed2005

Dissection of the sets of genes that control the behavior of biglycan-deficient pre-osteoblasts using oligonucleotide microarrays.

Biglycan (bgn) is a small leucine-rich proteoglycan (SLPR) that is enriched in the extracellular matrix of skeletal tissues. Bgn-deficient mice develop age-related osteopenia with a phenotype that resembles osteoporosis. In order to identify sets of genes that play a key role in the skeletal abnormality, we determined the global gene expression patterns in bgn-deficient (bgn-KO) pre-osteoblasts using oligonucleotide microarray technology. Calvarial cells were harvested from newborn mice and cultured in the presence or absence of BMP-4 for 7 days. The total RNA was purified, labeled and hybridized to Affymetrix chips (U74A), and analyzed with a software program called GeneSpring. Our data suggested that biglycan regulates the activity of osteoblastic progenitors through sets of genes associated with cell cycle, cell growth, and differentiation. The biological outcome from the altered expression of these genes could cause a defect in the quantity and quality of osteoblastic progenitors, which could contribute to the development of age-related osteopenia in bgn-KO mice. Moreover, the data from this approach also revealed that biglycan deficiency affected the genes that control inflammation, immune response, and growth of tumor cells. These are new and unexpected findings that lead to the formation of new paradigms for biglycan function. Based on these findings, we propose that the reduction of this small proteoglycan with aging may increase the risk of infection and autoimmune diseases, impair wound healing, and cause higher incidences of malignancy. This study provides a broad and deep foundation for understanding SLRP function at a more complex level.

Animals↗
PubMed2005

Applications of whole-genome high-density SNP genotyping.

The technology to simultaneously genotype hundreds of thousands of single nucleotide polymorphisms in a single assay has only recently been developed. These advances have the potential to revolutionize our ability to identify disease-associated proteins and their corresponding pathways as drugable targets. Several strategies that can take advantage of extremely high-density, genome-wide single nucleotide polymorphism genotyping to hone in on pathogenic genetic variants will be discussed. In familial linkage studies, high-density single nucleotide polymorphism genotyping has already been proven to speed up mutation identification of Mendelian traits several fold. Many studies now report examining loss of heterozygosity and genomic amplifications on a whole-genome level. Genotyping hundreds of thousands of single nucleotide polymorphisms in a single set of assays now also allows for whole-genome association studies in complex, multigenic diseases. The technology of high-density single nucleotide polymorphism genotyping has emerged rapidly, leaving data analysis and bioinformatic challenges only partially met. In this review, the immediate applications and implications of the rapidly changing high-density, whole-genome single nucleotide polymorphism genotyping field on translational research will be described.

Genetic Predisposition to Disease↗
PubMed2005

The Autism Genome Project: goals and strategies.

Autism is a complex neurodevelopmental disorder with a broad spectrum of symptoms and varying severity. Currently, no biological diagnosis exists. Although there has been a significant increase in autism genetics research recently, validated susceptibility genes for the most common, sporadic forms of autistic disorder, as well as familial autism, have yet to be identified. The identification of autism-susceptibility genes will not only assist in the identification and/or development of better medications that can help improve the health and neurodevelopment of children with autism, but will also allow for better perinatal diagnosis. The Autism Genome Project (AGP) is a large-scale, collaborative genetics research project initiated by the National Alliance for Autism Research and the National Institutes of Health, and is aimed at sifting through the human genome in search of autism-susceptibility genes. Phase I of the AGP will consist of genome-wide scans utilizing both SNP array and microsatellite technologies. Linkage analysis will subsequently be performed on approximately 1500 pedigrees as will downstream fine-mapping and sequencing of the critical linkage intervals. Ultimately, the vision will be to identify the exact nucleotide variants within genes which give rise to predisposition. The AGP intends to move the field of autism clinical management forward by answering questions about the causal mechanisms underlying the pathophysiology of autism. From this knowledge, therapeutic targets for drug treatments, and ultimately, a newborn screening diagnostic that would allow for early intervention, can begin to be developed.

Autistic Disorder↗
PubMed2004

Inter-platform comparability of microarrays in acute lymphoblastic leukemia.

BACKGROUND: Acute lymphoblastic leukemia (ALL) is the most common pediatric malignancy and has been the poster-child for improved therapeutics in cancer, with life time disease-free survival (LTDFS) rates improving from <10% in 1970 to >80% today. There are numerous known genetic prognostic variables in ALL, which include T cell ALL, the hyperdiploid karyotype and the translocations: t(12;21)[TEL-AML1], t(4;11)[MLL-AF4], t(9;22)[BCR-ABL], and t(1;19)[E2A-PBX]. ALL has been studied at the molecular level through expression profiling resulting in un-validated expression correlates of these prognostic indices. To date, the great wealth of expression data, which has been generated in disparate institutions, representing an extremely large cohort of samples has not been combined to validate any of these analyses. The majority of this data has been generated on the Affymetrix platform, potentially making data integration and validation on independent sample sets a possibility. Unfortunately, because the array platform has been evolving over the past several years the arrays themselves have different probe sets, making direct comparisons difficult. To test the comparability between different array platforms, we have accumulated all Affymetrix ALL array data that is available in the public domain, as well as two sets of cDNA array data. In addition, we have supplemented this data pool by profiling additional diagnostic pediatric ALL samples in our lab. Lists of genes that are differentially expressed in the six major subclasses of ALL have previously been reported in the literature as possible predictors of the subclass. RESULTS: We validated the predictability of these gene lists on all of the independent datasets accumulated from various labs and generated on various array platforms, by blindly distinguishing the prognostic genetic variables of ALL. Cross-generation array validation was used successfully with high sensitivity and high specificity of gene predictors for prognostic variables. We have also been able to validate the gene predictors with high accuracy using an independent dataset generated on cDNA arrays. CONCLUSION: Interarray comparisons such as this one will further enhance the ability to integrate data from several generations of microarray experiments and will help to break down barriers to the assimilation of existing datasets into a comprehensive data pool.

Bone Marrow↗
PubMed2004

Mapping of sudden infant death with dysgenesis of the testes syndrome (SIDDT) by a SNP genome scan and identification of TSPYL loss of function.

We have identified a lethal phenotype characterized by sudden infant death (from cardiac and respiratory arrest) with dysgenesis of the testes in males [Online Mendelian Inheritance in Man (OMIM) accession no. 608800]. Twenty-one affected individuals with this autosomal recessive syndrome were ascertained in nine separate sibships among the Old Order Amish. High-density single-nucleotide polymorphism (SNP) genotyping arrays containing 11,555 single-nucleotide polymorphisms evenly distributed across the human genome were used to map the disease locus. A genome-wide autozygosity scan localized the disease gene to a 3.6-Mb interval on chromosome 6q22.1-q22.31. This interval contained 27 genes, including two testis-specific Y-like genes (TSPYL and TSPYL4) of unknown function. Sequence analysis of the TSPYL gene in affected individuals identified a homozygous frameshift mutation (457_458insG) at codon 153, resulting in truncation of translation at codon 169. Truncation leads to loss of a peptide domain with strong homology to the nucleosome assembly protein family. GFP-fusion expression constructs were constructed and illustrated loss of nuclear localization of truncated TSPYL, suggesting loss of a nuclear localization patch in addition to loss of the nucleosome assembly domain. These results shed light on the pathogenesis of a disorder of sexual differentiation and brainstem-mediated sudden death, as well as give insight into a mechanism of transcriptional regulation.

Active Transport, Cell Nucleus↗
PubMed2004

Microarray analysis of changes in mRNA levels in the rat retina after experimental elevation of intraocular pressure.

PURPOSE: The goal of this study was to identify altered patterns of retinal mRNA expression after experimental elevation of intraocular pressure (IOP) in a rat glaucoma model. METHODS: Brown Norway rats (N = 16) received unilateral episcleral vein injection of hypertonic saline to elevate IOP. IOP was monitored daily by handheld tonometer, and retinas were collected 8 days and 5 weeks after surgery. Comparison of mRNA levels between experimental and fellow retinas was made using gene microarrays (rat U34A rat arrays; Affymetrix, Santa Clara, CA). Semiquantitative RT-PCR was used to confirm selected results from array analysis and to compare with alterations after optic nerve transection. RESULTS: IOP elevation for 5 weeks resulted in reproducible changes in levels of 81 mRNAs. Of these, 74 increased, whereas only 7 decreased. The expression levels of 27 of these same messages were changed after 8 days of IOP elevation. In addition, four other genes demonstrated altered expression after the shorter period of elevated IOP exposure. Approximately half of the mRNAs with altered expression were associated with either neuroinflammatory responses or apoptosis. For 25 of the selected functionally relevant messages altered by array analysis, the alterations were confirmed by semiquantitative RT-PCR. The levels of 24 of 25 selected messages were also changed after optic nerve transection. CONCLUSIONS: The activation of glia and the complement system after IOP elevation, which is similar to that described in several neurodegenerative diseases and after optic nerve transection, suggests that this rat glaucoma model could be used to evaluate the neuroprotective potential of therapeutic agents that target these processes.

Animals↗
PubMed2004

Gene and protein expression changes in human trabecular meshwork cells treated with transforming growth factor-beta.

PURPOSE: To determine the genomic and proteomic expression changes in human trabecular meshwork cells when they are treated with transforming growth factor (TGF)-beta. METHODS: Human trabecular meshwork cells from five donors were cultured for 3 days with 1 ng/mL of either TGF-beta1 or -beta2. Changes in gene expression determined with gene microarrays and alterations in protein expression detected by two-dimensional gel electrophoresis and matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF-MS) were studied in these cells after the incubation. RESULTS: With both TGF-betas, there was a substantial upregulation of genes that were related to secreted proteins or extracellular matrix. This result was consistent with pathologic changes observed in disease and with experiments on perfused trabecular meshwork. Several of the gene changes suggest that other signaling pathways, such as ErbB and Wnt, were altered. Changes in enzyme expression in the prostaglandin pathway indicated that the prostaglandins may have a different cellular profile in the presence of glaucoma. Two genes, osteoblast-specific factor 2 and corneal-derived transcript 6, which are highly expressed in the cells under normal conditions, were substantially upregulated with the TGF-betas. Proteomic analysis indicated that there was increased proteolysis of vimentin with both treatments. Tropomyosin 1alpha was increased in both gene and protein expression, suggesting alterations of the cytoskeleton by the disease. The TGF-beta1 treatment caused more robust changes than those induced by TGF-beta2. Three genes-aldose reductase, thioredoxin reductase 1, and glucose-6-phosphate 1-dehydrogenase-were identified that were downregulated in expression. These genes had decreases in protein expression with TGF-beta1 treatment but had little change in either gene or protein expression with TGF-beta2. CONCLUSIONS: Human trabecular meshwork cells can be subjected to increased levels of TGF-beta for several years as a result of glaucoma. The results indicate that changes in extracellular matrix as well as alterations in cytoskeletal proteins occur in these cells as a result of increased TGF-beta. These results are consistent with changes observed in the trabecular meshwork in glaucoma and suggest that at least some of the histologic alterations observed in the meshwork in glaucoma may be the result of increased TGF-betas.

Adolescent↗
PubMed2004

Biomarker identification in neurologic diseases: improving diagnostics and therapeutics.

Identification of biomarkers in neurological disease remains impeded by many obstacles. Among them are the availability of tissue at the site of pathology, poor clinical diagnostics, the complexity of the brain and a general dearth of functional end points and models for validation. However, advances in technology have helped to overcome these challenges. Some of these advances include standardization and increased efficiency in brain banking, novel techniques for brain imaging, improved methods for reducing tissue heterogeneity including laser capture microdissection, high-throughput genomics, new functional validation techniques such as RNA interference, and the development of new animal models of neurologic disease. In order to efficiently handle the wealth of information that will be gleaned from these new technologies, new integrated databasing protocols will be necessary. Access to these databases by researchers and clinicians is critical to the continued progress being made in biomarker identification in neurological disease. These challenges and ways to overcome them are presented here in the context of a disease known to be a robust model for biomarker identification, Alzheimer's disease.

Biomarkers↗
PubMed2003

Gene arrays and temporal patterns of drug response: corticosteroid effects on rat liver.

It was hypothesized that expression profiling using gene arrays can be used to distinguish temporal patterns of changes in gene expression in response to a drug in vivo, and that these patterns can be used to identify groups of genes regulated by common mechanisms. A corticosteroid, methylprednisolone (MPL), was administered intravenously to a group of 47 rats ( Rattus rattus) that were sacrificed at 17 timepoints over 72 h after MPL administration. Plasma drug concentrations and hepatic glucocorticoid receptors were measured from each animal. In addition, RNAs prepared from individual livers were used to query Affymetrix genechips for mRNA expression patterns. Statistical analyses using Affymetrix and GeneSpring software were applied to the results. Cluster analysis revealed six major temporal patterns containing 196 corticosteroid-responsive probe sets representing 153 different genes. Four clusters showed increased expression with differences in lag-time, onset rate, and/or duration of transcriptional effect. A fifth cluster showed rapid reduction persisting for 18 h. The final cluster identified showed decreased expression followed by an extended period of increased expression. These results lend new insights into the diverse hepatic genes involved in the physiologic, therapeutic, and adverse effects of corticosteroids and suggest that a limited array of control processes account for the dynamics of their pharmacogenomic effects.

Adrenal Cortex Hormones↗
PubMed2003

Genome-wide homozygosity mapping localizes a gene for autosomal recessive non-progressive infantile ataxia to 20q11-q13.

Autosomal recessive ataxias represent genetic and clinical heterogeneity. Unsteady gait is often accompanied by poor coordination of limbs, speech, and eye movements. To date, seven genes have been identified. In addition, five chromosomal loci have been localized in non-related families. Here, we report homozygosity mapping of a novel locus to a 19.5-cM region on chromosome 20q11-q13 in a large inbred Norwegian family with infantile non-progressive ataxia.

Adolescent↗