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941 results on '"Ott, Jurg"'

3. Complement Factor H Polymorphism in Age-Related Macular Degeneration

Author

Klein, Robert J., Zeiss, Caroline, Chew, Emily Y., Tsai, Jen-Yue, Sackler, Richard S., Haynes, Chad, Henning, Alice K., SanGiovanni, John Paul, Mane, Shrikant M., Mayne, Susan T., Bracken, Michael B., Ferris, Frederick L., Ott, Jurg, Barnstable, Colin, and Hoh, Josephine

Published
2005

6. Alopecia Universalis Associated with a Mutation in the Human Hairless Gene

Author

Ahmad, Wasim, Brancolini, Valeria, Tsou, Hui C., Haque, Sayed ul, Lam, HaMut, Aita, Vincent M., Owen, Jason, deBlaquiere, Michelle, Frank, Jorge, Cserhalmi-Friedman, Peter B., Leask, Andrew, McGrath, John A., Peacocke, Monica, Ahmad, Mahmud, Ott, Jurg, and Christiano, Angela M.

Published
1998

7. Data from CpG Island Methylator Phenotype Associates with Low-Degree Chromosomal Abnormalities in Colorectal Cancer

Author

Cheng, Yu-Wei, primary, Pincas, Hanna, primary, Bacolod, Manny D., primary, Schemmann, Gunter, primary, Giardina, Sarah F., primary, Huang, Jianmin, primary, Barral, Sandra, primary, Idrees, Kamran, primary, Khan, Sajid A., primary, Zeng, Zhaoshi, primary, Rosenberg, Shoshana, primary, Notterman, Daniel A., primary, Ott, Jurg, primary, Paty, Philip, primary, and Barany, Francis, primary

Published
2023
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8. CCR Translation on this Article from CpG Island Methylator Phenotype Associates with Low-Degree Chromosomal Abnormalities in Colorectal Cancer

Author

Cheng, Yu-Wei, primary, Pincas, Hanna, primary, Bacolod, Manny D., primary, Schemmann, Gunter, primary, Giardina, Sarah F., primary, Huang, Jianmin, primary, Barral, Sandra, primary, Idrees, Kamran, primary, Khan, Sajid A., primary, Zeng, Zhaoshi, primary, Rosenberg, Shoshana, primary, Notterman, Daniel A., primary, Ott, Jurg, primary, Paty, Philip, primary, and Barany, Francis, primary

Published
2023
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9. Data from The Signatures of Autozygosity among Patients with Colorectal Cancer

Author

Bacolod, Manny D., primary, Schemmann, Gunter S., primary, Wang, Shuang, primary, Shattock, Richard, primary, Giardina, Sarah F., primary, Zeng, Zhaoshi, primary, Shia, Jinru, primary, Stengel, Robert F., primary, Gerry, Norman, primary, Hoh, Josephine, primary, Kirchhoff, Tomas, primary, Gold, Bert, primary, Christman, Michael F., primary, Offit, Kenneth, primary, Gerald, William L., primary, Notterman, Daniel A., primary, Ott, Jurg, primary, Paty, Philip B., primary, and Barany, Francis, primary

Published
2023
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10. Supplementary Information from The Signatures of Autozygosity among Patients with Colorectal Cancer

Author

Bacolod, Manny D., primary, Schemmann, Gunter S., primary, Wang, Shuang, primary, Shattock, Richard, primary, Giardina, Sarah F., primary, Zeng, Zhaoshi, primary, Shia, Jinru, primary, Stengel, Robert F., primary, Gerry, Norman, primary, Hoh, Josephine, primary, Kirchhoff, Tomas, primary, Gold, Bert, primary, Christman, Michael F., primary, Offit, Kenneth, primary, Gerald, William L., primary, Notterman, Daniel A., primary, Ott, Jurg, primary, Paty, Philip B., primary, and Barany, Francis, primary

Published
2023
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15. A multi-threaded approach to genotype pattern mining for detecting digenic disease genes.

Author

Qingrun Zhang, Bhatia, Muskan, Taesung Park, and Ott, Jurg

Subjects
MACULAR degeneration, HUMAN gene mapping, GENOTYPES, GENOME-wide association studies, APRIORI algorithm
Abstract

To locate disease-causing DNA variants on the human gene map, the customary approach has been to carry out a genome-wide association study for one variant after another by testing for genotype frequency differences between individuals affected and unaffected with disease. So-called digenic traits are due to the combined effects of two variants, often on different chromosomes, while individual variants may have little or no effect on disease. Machine learning approaches have been developed to find variant pairs underlying digenic traits. However, many of these methods have large memory requirements so that only small datasets can be analyzed. The increasing availability of desktop computers with large numbers of processors and suitable programming to distribute the workload evenly over all processors in a machine make a new and relatively straightforward approach possible, that is, to evaluate all existing variant and genotype pairs for disease association. We present a prototype of such a method with two components, Vpairs and Gpairs, and demonstrate its advantages over existing implementations of such well-known algorithms as Apriori and FPgrowth. We apply these methods to published case-control datasets on age-related macular degeneration and Parkinson disease and construct an ROC curve for a large set of genotype patterns. [ABSTRACT FROM AUTHOR]

Published
2023
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30. Pilot Study on Schizophrenia in Sardinia

Author

Ott, Jurg, Macciardi, Fabio, Shen, Yuanyuan, Carta, Mauro G., Murru, Andrea, Triunfo, Riccardo, Robledo, Renato, Rinaldi, Antoniettina, Contu, Licinio, and Siniscalco, Marcello

Published
2010

45. Localizing Multiple X Chromosome-Linked Retinitis Pigmentosa Loci Using Multilocus Homogeneity Tests

Author

Ott, Jurg, Bhattacharya, Shomi, Chen, J. D., Denton, Michael J., Donald, Jenny, Dubay, Christopher, Farrar, G. Jane, Fishman, Gerald A., Frey, Daniel, Gal, Andreas, Humphries, Peter, Jay, B., Jay, Marcelle, Litt, Michael, Machler, Marco, Musarella, Maria, Neugebauer, Meinhard, Naussbaum, Robert L., Terwilliger, Joseph D., Weleber, Richard G., Wirth, Brunhilde, Wong, Fulton, Worton, Ronald G., and Wright, Alan F.

Published
1990

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