The analysis of genetic and biological data is an active area of research that continually undergoes substantial changes. It is important that new methodologies are appropriately evaluated so that the best available methods and approaches can be applied to data. This requires the knowledge and experience of skilled statistical geneticists, biostatisticians, programmers and systems administrators. The Data Analysis and Bioinformatics Core (DABC) will provide such a team with a proven collaborative research record. The DABC will promote and facilitate the research undertaken by the Oklahoma Sjogren's Syndrome Center of Research Translation (OSSCORT) Project and Pilot Investigators, as well as the Administrative and Clinical Cores and will provide project-specific experimental design and statistical methods necessary for each project to accomplish their major goals. In an effort to assist all OSSCORT Projects and Cores, the DABC will be an integral part of the research team in study development, implementing high quality data management, providing state of the art analysis, and providing high level informatics and programming capabilities. Centralized analysis through the DABC will enable standardization of statistical diagnostic checks of distributional assumptions, outliers (overly influential data points), colinearity, etc., ensuring that all analyses are of the same high quality and rigor. The DABC will provide efficient management of data shared between projects, better quality control of both data and analysis and overall assessment of OSSCORT progress. Specifically, our goals are to: 1) collaborate with investigators to outline the most appropriate and powerful study design, perform data cleaning and statistical analyses, interpret analyses, and assist with the preparation of publications, presentations and progress reports;2) provide secure, standardized and easily accessible data storage and management for all data collected as a part of the OSSCORT Projects and Cores;3) synthesize data across projects through sophisticated modeling approaches and 4) develop, modify and/or apply novel statistical analysis methods to the appropriate hypotheses.

Public Health Relevance

Sjogren's Syndrome is a life-threatening inflammatory autoimmune disease of tremendous personal and public health burden. A complete understanding of this disease is not possible without timely and efficient access to the extensive data collected, appropriate statistical analyses and the comprehensive integration of genetic, clinical and biological data with sophisticated analyses such as those proposed in this CORT.

Agency
National Institute of Health (NIH)
Institute
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
Type
Specialized Center (P50)
Project #
1P50AR060804-01
Application #
8102497
Study Section
Special Emphasis Panel (ZAR1-MLB (M1))
Project Start
Project End
Budget Start
2011-07-21
Budget End
2012-03-31
Support Year
1
Fiscal Year
2011
Total Cost
$75,928
Indirect Cost
Name
Oklahoma Medical Research Foundation
Department
Type
DUNS #
077333797
City
Oklahoma City
State
OK
Country
United States
Zip Code
73104
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Sandhya, Pulukool; Kurien, Biji Theyilamannil; Danda, Debashish et al. (2017) Update on Pathogenesis of Sjogren's Syndrome. Curr Rheumatol Rev 13:5-22
Zhao, Jian; Ma, Jianyang; Deng, Yun et al. (2017) A missense variant in NCF1 is associated with susceptibility to multiple autoimmune diseases. Nat Genet 49:433-437
Shiboski, Caroline H; Shiboski, Stephen C; Seror, Raphaèle et al. (2017) 2016 American College of Rheumatology/European League Against Rheumatism Classification Criteria for Primary Sjögren's Syndrome: A Consensus and Data-Driven Methodology Involving Three International Patient Cohorts. Arthritis Rheumatol 69:35-45
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Carapito, Raphael; Gottenberg, Jacques-Eric; Kotova, Irina et al. (2017) A new MHC-linked susceptibility locus for primary Sjögren's syndrome: MICA. Hum Mol Genet 26:2565-2576
Leehan, Kerry M; Pezant, Nathan P; Rasmussen, Astrid et al. (2017) Fatty infiltration of the minor salivary glands is a selective feature of aging but not Sjögren's syndrome. Autoimmunity 50:451-457
Talsania, Mitali; Scofield, Robert Hal (2017) Menopause and Rheumatic Disease. Rheum Dis Clin North Am 43:287-302
Pan, Z-J; Horton, C G; Lawrence, C et al. (2016) Plasmacytoid dendritic cells and type 1 interferon promote peripheral expansion of forkhead box protein 3(+) regulatory T cells specific for the ubiquitous RNA-binding nuclear antigen La/Sjögren's syndrome (SS)-B. Clin Exp Immunol 186:18-29

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