Abstract

BIOSTATISTICS AND GENETIC ANALYSIS CORE The Biostatistics and Genetic Analysis Core responds to the growing needs of investigators to analyze an escalated volume of data and facilitate genomic research by systemic evaluation of gene variations in population studies. It supports investigators in two aspects related to research data, namely, standard biostatistical analysis and genetic/genomic data analysis. The Biostatistics and Genetic Analysis Core serves to enhance research capabilities of investigators by providing shared resources and centralized equipment in a cost-effective fashion. The goals are to provide: 1) consultation and assistance in biostatistical and genetic/genomic analyses of research data, 2) assistance in the use of software for biostatistical or genetic/genomic analyses and make the latest analysis tools available, 3) cutting-edge computing facilities, advanced software, expertise and assistance in genetic data analysis, and 4) assistance in integrating genomic, proteomic, and molecular biology data for studying the mechanisms of onset and progression of eye diseases, and responses to treatments.

Public Health Relevance

BIOSTATISTICS AND GENETIC ANALYSIS CORE The Biostatistics and Genetic Analysis Core provides computing equipment and expertise to assist investigators in research design, biostatistical analysis and genetic data analysis.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Center Core Grants (P30)
Project #
5P30EY001792-38
Application #
9331685
Study Section
Special Emphasis Panel (ZEY1)
Project Start
Project End
Budget Start
2017-09-30
Budget End
2018-09-29
Support Year
38
Fiscal Year
2017
Total Cost
Indirect Cost

  Institution

Name
University of Illinois at Chicago
Department
Type
DUNS #
098987217
City
Chicago
State
IL
Country
United States
Zip Code
60612

  Publications

Alam, Minhaj; Toslak, Devrim; Lim, Jennifer I et al. (2018) Color Fundus Image Guided Artery-Vein Differentiation in Optical Coherence Tomography Angiography. Invest Ophthalmol Vis Sci 59:4953-4962
McAnany, J Jason; Smith, Brandon M; Garland, Amy et al. (2018) iPhone-based Pupillometry: A Novel Approach for Assessing the Pupillary Light Reflex. Optom Vis Sci 95:953-958
Wang, Benquan; Toslak, Devrim; Alam, Minhaj Nur et al. (2018) Contact-free trans-pars-planar illumination enables snapshot fundus camera for nonmydriatic wide field photography. Sci Rep 8:8768
Lim, Jennifer I; Cao, Dingcai (2018) Analysis of Retinal Thinning Using Spectral-domain Optical Coherence Tomography Imaging of Sickle Cell Retinopathy Eyes Compared to Age- and Race-Matched Control Eyes. Am J Ophthalmol 192:229-238
Yamakawa, Michael; Doh, Susan J; Santosa, Samuel M et al. (2018) Potential lymphangiogenesis therapies: Learning from current antiangiogenesis therapies-A review. Med Res Rev 38:1769-1798
Sun, Michael G; Rojdamrongratana, Duangmontree; Rosenblatt, Mark I et al. (2018) 3D printing for low cost, rapid prototyping of eyelid crutches. Orbit :1-5
Hajrasouliha, Amir R; Moss, Heather E; Maralani, Pejman J et al. (2018) MACULAR DETACHMENT ASSOCIATED WITH ANOMALOUS OPTIC NERVES AND DURAL ECTASIA IN 49, XXXXY SYNDROME. Retin Cases Brief Rep 12:39-41
Kanu, Levi N; Liu, Catherine Y; Oh, Daniel J et al. (2018) Self-insertion of foreign bodies into the orbit and periocular tissue. Orbit :1-6
Wert, Katherine J; Velez, Gabriel; Cross, Madeline R et al. (2018) Extracellular superoxide dismutase (SOD3) regulates oxidative stress at the vitreoretinal interface. Free Radic Biol Med 124:408-419
Rangaraju, LakshmiPriya; Jiang, Xuejuan; McAnany, J Jason et al. (2018) Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema. J Ophthalmol 2018:1089043

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