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

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
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
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
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
Alam, Minhaj; Zhang, Yue; Lim, Jennifer I et al. (2018) QUANTITATIVE OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY FEATURES FOR OBJECTIVE CLASSIFICATION AND STAGING OF DIABETIC RETINOPATHY. Retina :
Toslak, Devrim; Liu, Changgeng; Alam, Minhaj Nur et al. (2018) Near-infrared light-guided miniaturized indirect ophthalmoscopy for nonmydriatic wide-field fundus photography. Opt Lett 43:2551-2554
Chee, Ru-Ik; Darwish, Dana; Fernandez-Vega, Alvaro et al. (2018) Retinal Telemedicine. Curr Ophthalmol Rep 6:36-45
Felder, Anthony E; Wanek, Justin; Teng, Pang-Yu et al. (2018) A method for volumetric retinal tissue oxygen tension imaging. Curr Eye Res 43:122-127
Feitosa-Santana, Claudia; Lutze, Margaret; Barrionuevo, Pablo A et al. (2018) Assessment of #TheDress With Traditional Color Vision Tests: Perception Differences Are Associated With Blueness. Iperception 9:2041669518764192
Biten, Hilal; Redd, Travis K; Moleta, Chace et al. (2018) Diagnostic Accuracy of Ophthalmoscopy vs Telemedicine in Examinations for Retinopathy of Prematurity. JAMA Ophthalmol 136:498-504

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