10 results on '"Doelken, S"'
Search Results
2. Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome
- Author
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Zemojtel, T, Kahler, S, Mackenroth, L, Jager, M, Hecht, J, Krawitz, P, Graul-Neumann, L, Doelken, S, Ehmke, N, Spielmann, M, Christine, N, Schweiger, M, Krager, U, Frommer, G, Fischer, B, Kornak, U, Ardeshirdavani, Amin, Moreau, Yves, Lewis, S, Haendel, M, Smedley, D, Horn, D, Mundlos, S, and NRobinson, P
- Subjects
SISTA - Abstract
Less than half of patients with suspected genetic disease receive a molecular diagnosis. We have therefore integrated next-generation sequencing (NGS), bioinformatics, and clinical data into an effective diagnostic workflow. We used variants in the 2741 established Mendelian disease genes [the disease-associated genome (DAG)] to develop a targeted enrichment DAG panel (7.1 Mb), which achieves a coverage of 20-fold or better for 98% of bases. Furthermore, we established a computational method [Phenotypic Interpretation of eXomes (PhenIX)] that evaluated and ranked variants based on pathogenicity and semantic similarity of patients' phenotype described by Human Phenotype Ontology (HPO) terms to those of 3991 Mendelian diseases. In computer simulations, ranking genes based on the variant score put the true gene in first place less than 5% of the time; PhenIX placed the correct gene in first place more than 86% of the time. In a retrospective test of PhenIX on 52 patients with previously identified mutations and known diagnoses, the correct gene achieved a mean rank of 2.1. In a prospective study on 40 individuals without a diagnosis, PhenIX analysis enabled a diagnosis in 11 cases (28%, at a mean rank of 2.4). Thus, the NGS of the DAG followed by phenotype-driven bioinformatic analysis allows quick and effective differential diagnostics in medical genetics. ispartof: Science Translational Medicine vol:6 issue:252 pages:123-125 ispartof: location:United States status: published
- Published
- 2014
3. Automatic concept recognition using the Human Phenotype Ontology reference and test suite corpora
- Author
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Groza, T., Kohler, S., Doelken, S., Collier, N., Oellrich, A., Smedley, D., Couto, F.M., Baynam, G., Zankl, A., Robinson, P.N., Groza, T., Kohler, S., Doelken, S., Collier, N., Oellrich, A., Smedley, D., Couto, F.M., Baynam, G., Zankl, A., and Robinson, P.N.
- Abstract
Concept recognition tools rely on the availability of textual corpora to assess their performance and enable the identification of areas for improvement. Typically, corpora are developed for specific purposes, such as gene name recognition. Gene and protein name identification are longstanding goals of biomedical text mining, and therefore a number of different corpora exist. However, phenotypes only recently became an entity of interest for specialized concept recognition systems, and hardly any annotated text is available for performance testing and training. Here, we present a unique corpus, capturing text spans from 228 abstracts manually annotated with Human Phenotype Ontology (HPO) concepts and harmonized by three curators, which can be used as a reference standard for free text annotation of human phenotypes. Furthermore, we developed a test suite for standardized concept recognition error analysis, incorporating 32 different types of test cases corresponding to 2164 HPO concepts. Finally, three established phenotype concept recognizers (NCBO Annotator, OBO Annotator and Bio-LarK CR) were comprehensively evaluated, and results are reported against both the text corpus and the test suites. The gold standard and test suites corpora are available from http://bio-lark.org/hpo_res.html.
- Published
- 2015
4. Automatic concept recognition using the Human Phenotype Ontology reference and test suite corpora
- Author
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Groza, T., primary, Kohler, S., additional, Doelken, S., additional, Collier, N., additional, Oellrich, A., additional, Smedley, D., additional, Couto, F. M., additional, Baynam, G., additional, Zankl, A., additional, and Robinson, P. N., additional
- Published
- 2015
- Full Text
- View/download PDF
5. Duplications of BHLHA9 are associated with ectrodactyly and tibia hemimelia inherited in non-Mendelian fashion
- Author
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Klopocki, E., Lohan, S., Doelken, S., Stricker, S., Ockeloen, C.W., Soares Thiele de Aguiar, R., Lezirovitz, K., Mingroni Netto, R.C., Jamsheer, A., Shah, H., Kurth, I., Habenicht, R., Warman, M.L., Devriendt, K., Kordass, U., Hempel, M., Rajab, A., Mäkitie, O., Naveed, M., Radhakrishna, U., Antonarakis, S.E., Horn, D., Mundlos, S., Klopocki, E., Lohan, S., Doelken, S., Stricker, S., Ockeloen, C.W., Soares Thiele de Aguiar, R., Lezirovitz, K., Mingroni Netto, R.C., Jamsheer, A., Shah, H., Kurth, I., Habenicht, R., Warman, M.L., Devriendt, K., Kordass, U., Hempel, M., Rajab, A., Mäkitie, O., Naveed, M., Radhakrishna, U., Antonarakis, S.E., Horn, D., and Mundlos, S.
- Abstract
Item does not contain fulltext
- Published
- 2012
6. Identity-by-descent filtering of exome sequence data identifies PIGV mutations in hyperphosphatasia mental retardation syndrome.
- Author
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Krawitz, P.M., Schweiger, M.R., Rodelsperger, C., Marcelis, C.L.M., Kolsch, U., Meisel, C., Stephani, F., Kinoshita, T., Murakami, Y., Bauer, S., Isau, M., Fischer, A., Dahl, A., Kerick, M., Hecht, J., Kohler, S., Jager, M. de, Grunhagen, J., Condor, B.J. de, Doelken, S., Brunner, H.G., Meinecke, P., Passarge, E., Thompson, M.D., Cole, D.E., Horn, D., Roscioli, T., Mundlos, S., Robinson, P.N., Krawitz, P.M., Schweiger, M.R., Rodelsperger, C., Marcelis, C.L.M., Kolsch, U., Meisel, C., Stephani, F., Kinoshita, T., Murakami, Y., Bauer, S., Isau, M., Fischer, A., Dahl, A., Kerick, M., Hecht, J., Kohler, S., Jager, M. de, Grunhagen, J., Condor, B.J. de, Doelken, S., Brunner, H.G., Meinecke, P., Passarge, E., Thompson, M.D., Cole, D.E., Horn, D., Roscioli, T., Mundlos, S., and Robinson, P.N.
- Abstract
1 oktober 2010, Contains fulltext : 88212.pdf (publisher's version ) (Closed access), Hyperphosphatasia mental retardation (HPMR) syndrome is an autosomal recessive form of mental retardation with distinct facial features and elevated serum alkaline phosphatase. We performed whole-exome sequencing in three siblings of a nonconsanguineous union with HPMR and performed computational inference of regions identical by descent in all siblings to establish PIGV, encoding a member of the GPI-anchor biosynthesis pathway, as the gene mutated in HPMR. We identified homozygous or compound heterozygous mutations in PIGV in three additional families.
- Published
- 2010
7. Identity-by-descent filtering of exome sequence data identifies PIGV mutations in hyperphosphatasia mental retardation syndrome
- Author
-
Krawitz, PM, Schweiger, MR, Rödelsperger, C, Marcelis, C, Kölsch, U, Meisel, C, Stephani, F, Kinoshita, T, Murakami, Y, Bauer, S, Isau, M, Fischer, A, Dahl, A, Kerick, M, Hecht, J, Köhler, S, Jäger, M, Grünhagen, J, De Condor, BJ, Doelken, S, Brunner, HG, Meinecke, P, Passarge, E, Thompson, MD, Cole, DE, Horn, D, Roscioli, T, Mundlos, S, Robinson, PN, Krawitz, PM, Schweiger, MR, Rödelsperger, C, Marcelis, C, Kölsch, U, Meisel, C, Stephani, F, Kinoshita, T, Murakami, Y, Bauer, S, Isau, M, Fischer, A, Dahl, A, Kerick, M, Hecht, J, Köhler, S, Jäger, M, Grünhagen, J, De Condor, BJ, Doelken, S, Brunner, HG, Meinecke, P, Passarge, E, Thompson, MD, Cole, DE, Horn, D, Roscioli, T, Mundlos, S, and Robinson, PN
- Abstract
Hyperphosphatasia mental retardation (HPMR) syndrome is an autosomal recessive form of mental retardation with distinct facial features and elevated serum alkaline phosphatase. We performed whole-exome sequencing in three siblings of a nonconsanguineous union with HPMR and performed computational inference of regions identical by descent in all siblings to establish PIGV, encoding a member of the GPI-anchor biosynthesis pathway, as the gene mutated in HPMR. We identified homozygous or compound heterozygous mutations in PIGV in three additional families. © 2010 Nature America, Inc. All rights reserved.
- Published
- 2010
8. Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome.
- Author
-
Zemojtel T, Köhler S, Mackenroth L, Jäger M, Hecht J, Krawitz P, Graul-Neumann L, Doelken S, Ehmke N, Spielmann M, Oien NC, Schweiger MR, Krüger U, Frommer G, Fischer B, Kornak U, Flöttmann R, Ardeshirdavani A, Moreau Y, Lewis SE, Haendel M, Smedley D, Horn D, Mundlos S, and Robinson PN
- Subjects
- Exome genetics, Humans, Mutation, Phenotype, Prospective Studies, Reproducibility of Results, Retrospective Studies, Computational Biology methods, Genetic Diseases, Inborn diagnosis, Genome, Human genetics
- Abstract
Less than half of patients with suspected genetic disease receive a molecular diagnosis. We have therefore integrated next-generation sequencing (NGS), bioinformatics, and clinical data into an effective diagnostic workflow. We used variants in the 2741 established Mendelian disease genes [the disease-associated genome (DAG)] to develop a targeted enrichment DAG panel (7.1 Mb), which achieves a coverage of 20-fold or better for 98% of bases. Furthermore, we established a computational method [Phenotypic Interpretation of eXomes (PhenIX)] that evaluated and ranked variants based on pathogenicity and semantic similarity of patients' phenotype described by Human Phenotype Ontology (HPO) terms to those of 3991 Mendelian diseases. In computer simulations, ranking genes based on the variant score put the true gene in first place less than 5% of the time; PhenIX placed the correct gene in first place more than 86% of the time. In a retrospective test of PhenIX on 52 patients with previously identified mutations and known diagnoses, the correct gene achieved a mean rank of 2.1. In a prospective study on 40 individuals without a diagnosis, PhenIX analysis enabled a diagnosis in 11 cases (28%, at a mean rank of 2.4). Thus, the NGS of the DAG followed by phenotype-driven bioinformatic analysis allows quick and effective differential diagnostics in medical genetics., (Copyright © 2014, American Association for the Advancement of Science.)
- Published
- 2014
- Full Text
- View/download PDF
9. Induction of macrophage chemotaxis by aortic extracts from patients with Marfan syndrome is related to elastin binding protein.
- Author
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Guo G, Gehle P, Doelken S, Martin-Ventura JL, von Kodolitsch Y, Hetzer R, and Robinson PN
- Subjects
- Adult, Aged, Animals, Antibodies, Monoclonal immunology, Aortic Aneurysm, Thoracic pathology, Cattle, Enzyme-Linked Immunosorbent Assay, Female, Humans, Macrophages metabolism, Male, Mice, Middle Aged, Tissue Extracts analysis, Tissue Extracts immunology, Young Adult, Aorta pathology, Chemotaxis drug effects, Elastin metabolism, Macrophages cytology, Macrophages drug effects, Marfan Syndrome pathology, Tissue Extracts pharmacology
- Abstract
Marfan syndrome is an autosomal dominantly inherited disorder of connective tissue with prominent skeletal, ocular, and cardiovascular manifestations. Aortic aneurysm and dissection are the major determinants of premature death in untreated patients. In previous work, we showed that extracts of aortic tissues from the mgR mouse model of Marfan syndrome showed increased chemotactic stimulatory activity related to the elastin-binding protein. Aortic samples were collected from 6 patients with Marfan syndrome and 8 with isolated aneurysms of the ascending aorta. Control samples were obtained from 11 organ donors without known vascular or connective tissue diseases. Soluble proteins extracted from the aortic samples of the two patient groups were compared against buffer controls and against the aortic samples from controls with respect to the ability to induce macrophage chemotaxis as measured using a modified Boyden chamber, as well as the reactivity to a monoclonal antibody BA4 against bioactive elastin peptides using ELISA. Samples from Marfan patients displayed a statistically significant increase in chemotactic inductive activity compared to control samples. Additionally, reactivity to BA4 was significantly increased. Similar statistically significant increases were identified for the samples from patients with idiopathic thoracic aortic aneurysm. There was a significant correlation between the chemotactic index and BA4 reactivity, and the increases in chemotactic activity of extracts from Marfan patients could be inhibited by pretreatment with lactose, VGVAPG peptides, or BA4, which indicates the involvement of EBP in mediating the effects. Our results demonstrate that aortic extracts of patients with Marfan syndrome can elicit macrophage chemotaxis, similar to our previous study on aortic extracts of the mgR mouse model of Marfan syndrome (Guo et al., Circulation 2006; 114:1855-62).
- Published
- 2011
- Full Text
- View/download PDF
10. Identity-by-descent filtering of exome sequence data identifies PIGV mutations in hyperphosphatasia mental retardation syndrome.
- Author
-
Krawitz PM, Schweiger MR, Rödelsperger C, Marcelis C, Kölsch U, Meisel C, Stephani F, Kinoshita T, Murakami Y, Bauer S, Isau M, Fischer A, Dahl A, Kerick M, Hecht J, Köhler S, Jäger M, Grünhagen J, de Condor BJ, Doelken S, Brunner HG, Meinecke P, Passarge E, Thompson MD, Cole DE, Horn D, Roscioli T, Mundlos S, and Robinson PN
- Subjects
- Adolescent, Animals, CHO Cells, Child, Preschool, Cricetinae, Cricetulus, Databases, Genetic, Family Health, Female, Glycosylphosphatidylinositols metabolism, Humans, Infant, Male, Open Reading Frames genetics, Syndrome, Transfection, Exons genetics, Genetic Predisposition to Disease, Hyperphosphatemia genetics, Intellectual Disability genetics, Mannosyltransferases genetics, Mutation genetics
- Abstract
Hyperphosphatasia mental retardation (HPMR) syndrome is an autosomal recessive form of mental retardation with distinct facial features and elevated serum alkaline phosphatase. We performed whole-exome sequencing in three siblings of a nonconsanguineous union with HPMR and performed computational inference of regions identical by descent in all siblings to establish PIGV, encoding a member of the GPI-anchor biosynthesis pathway, as the gene mutated in HPMR. We identified homozygous or compound heterozygous mutations in PIGV in three additional families.
- Published
- 2010
- Full Text
- View/download PDF
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