The analysis of biological data is an acfive area of research that confinually undergoes substanfial 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 biostafisficians, bioinformaficians, stafisfical geneficists and data administrators. The Quanfitative Analysis Core (QAC) will ' provide such a team with a proven collaborative research record. The OAC will promote and facilitate the research undertaken by both COBRE and non-COBRE invesfigators alike by providing state ofthe art analysis and high-level informafics capabilifies and method development and assessment. By centralizing our vast technological resources as well as the diverse and complimentary expertise of the QAC faculty and staff we offer unique training and collaborative opportunifies to a variety of invesfigators. Specifically, we will 1) provide a cost-effective state-of-the-art computational and methodological resource, 2) offer experienced analysts and senior-level biostafistical and bioinformafics expertise to manage, conduct and interpret analyses, and 3) develop, modify and/or apply novel statisfical analysis methods to the appropriate hypotheses particulariy those including high-dimensional, large-scale data.

Public Health Relevance

Complex genomic data requires skilled personnel to assist at all levels of experimental design and data analysis so the researchers can accurately interpret their data. The Quantitafive Analysis Core will serve as that resource for this Phase III COBRE.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Center Core Grants (P30)
Project #
1P30GM110766-01
Application #
8751104
Study Section
Special Emphasis Panel (ZGM1-TWD-C (3C))
Project Start
2014-08-05
Project End
2019-07-31
Budget Start
2014-08-05
Budget End
2015-07-31
Support Year
1
Fiscal Year
2014
Total Cost
$400,606
Indirect Cost
$160,606
Name
Oklahoma Medical Research Foundation
Department
Type
DUNS #
077333797
City
Oklahoma City
State
OK
Country
United States
Zip Code
73104
Leehan, Kerry M; Pezant, Nathan P; Rasmussen, Astrid et al. (2018) Minor salivary gland fibrosis in Sjögren's syndrome is elevated, associated with focus score and not solely a consequence of aging. Clin Exp Rheumatol 36 Suppl 112:80-88
Celada, Lindsay J; Kropski, Jonathan A; Herazo-Maya, Jose D et al. (2018) PD-1 up-regulation on CD4+ T cells promotes pulmonary fibrosis through STAT3-mediated IL-17A and TGF-?1 production. Sci Transl Med 10:
Pelikan, Richard C; Kelly, Jennifer A; Fu, Yao et al. (2018) Enhancer histone-QTLs are enriched on autoimmune risk haplotypes and influence gene expression within chromatin networks. Nat Commun 9:2905
Patel, Zubin; Lu, Xiaoming; Miller, Daniel et al. (2018) A plausibly causal functional lupus-associated risk variant in the STAT1-STAT4 locus. Hum Mol Genet :
Fu, Yao; Tessneer, Kandice L; Li, Chuang et al. (2018) From association to mechanism in complex disease genetics: the role of the 3D genome. Arthritis Res Ther 20:216
Bagavant, Harini; Dunkleberger, Micah L; Wolska, Nina et al. (2018) Antibodies to periodontogenic bacteria are associated with higher disease activity in lupus patients. Clin Exp Rheumatol :
Wang, Chih-Chuan; Ortiz-González, Xilma R; Yum, Sabrina W et al. (2018) ?IV Spectrinopathies Cause Profound Intellectual Disability, Congenital Hypotonia, and Motor Axonal Neuropathy. Am J Hum Genet 102:1158-1168
Bernatsky, Sasha; Velásquez García, Héctor A; Spinelli, John J et al. (2017) Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma. Lupus Sci Med 4:e000187
Langefeld, Carl D; Ainsworth, Hannah C; Cunninghame Graham, Deborah S et al. (2017) Transancestral mapping and genetic load in systemic lupus erythematosus. Nat Commun 8:16021
Aberle, Teresa; Bourn, Rebecka L; Chen, Hua et al. (2017) Use of SLICC criteria in a large, diverse lupus registry enables SLE classification of a subset of ACR-designated subjects with incomplete lupus. Lupus Sci Med 4:e000176

Showing the most recent 10 out of 32 publications