NUSCOR will serve six primary functions: (1) methodological construction and review, (2) development and maintenance of patient databases, (3) data entry and management, (4) biostatistical consultation and technical support, (5) education and (6) computer technology support. These services, which are described in more detail below, are available to all faculty, staff, and students conducting musculoskeletal research at UNC- CH. In addition to providing support for ongoing projects, a central goal of NUSCOR is to stimulate new research initiatives. In the past, the Core has been instrumental in developing projects that resulted in extramural funding and in undertaking studies that would not have been feasible given the level of funding available from other sources. Although NUSCOR was designed primarily to support E/E/HSR research efforts, the Core also provides services to biomedical investigators and facilitates collaborative research efforts via the maintenance of patient databases (a function shared with the Biomedical Component); biostatistical support; shared educational activities; and computer support, which serves to coordinate the hardware and software used by investigators in both components to enhance investigators' ability to share data and other resources.

Project Start
1998-09-15
Project End
1999-06-30
Budget Start
Budget End
Support Year
17
Fiscal Year
1998
Total Cost
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
078861598
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Corsi, Michela; Alvarez, Carolina; Callahan, Leigh F et al. (2018) Contributions of symptomatic osteoarthritis and physical function to incident cardiovascular disease. BMC Musculoskelet Disord 19:393
Longobardi, L; Jordan, J M; Shi, X A et al. (2018) Associations between the chemokine biomarker CCL2 and knee osteoarthritis outcomes: the Johnston County Osteoarthritis Project. Osteoarthritis Cartilage 26:1257-1261
Raveendran, R; Stiller, J L; Alvarez, C et al. (2018) Population-based prevalence of multiple radiographically-defined hip morphologies: the Johnston County Osteoarthritis Project. Osteoarthritis Cartilage 26:54-61
Goode, A P; Nelson, A E; Kraus, V B et al. (2017) Biomarkers reflect differences in osteoarthritis phenotypes of the lumbar spine: the Johnston County Osteoarthritis Project. Osteoarthritis Cartilage 25:1672-1679
Barbour, Kamil E; Murphy, Louise B; Helmick, Charles G et al. (2017) Bone Mineral Density and the Risk of Hip and Knee Osteoarthritis: The Johnston County Osteoarthritis Project. Arthritis Care Res (Hoboken) 69:1863-1870
Liu, Youfang; Yau, Michelle S; Yerges-Armstrong, Laura M et al. (2017) Genetic Determinants of Radiographic Knee Osteoarthritis in African Americans. J Rheumatol 44:1652-1658
Yau, Michelle S; Yerges-Armstrong, Laura M; Liu, Youfang et al. (2017) Genome-Wide Association Study of Radiographic Knee Osteoarthritis in North American Caucasians. Arthritis Rheumatol 69:343-351
Zillikens, M Carola; Demissie, Serkalem; Hsu, Yi-Hsiang et al. (2017) Large meta-analysis of genome-wide association studies identifies five loci for lean body mass. Nat Commun 8:80
Qin, Jin; Barbour, Kamil E; Murphy, Louise B et al. (2017) Lifetime Risk of Symptomatic Hand Osteoarthritis: The Johnston County Osteoarthritis Project. Arthritis Rheumatol 69:1204-1212
An, H; Marron, J S; Schwartz, T A et al. (2016) Novel statistical methodology reveals that hip shape is associated with incident radiographic hip osteoarthritis among African American women. Osteoarthritis Cartilage 24:640-6

Showing the most recent 10 out of 162 publications