Protecting sensitive research data and meeting researchers needs: Duke University's Protected Network

Autor: DeLong, Mark R., Ingham, Andy, Carter, Robert, Franke, Rachel, Wehrle, Michael, Biever, Richard, Kneifel, Charles

Research use of sensitive information -- personally identifiable information (PII), protected health information (PHI), commercial or proprietary data, and the like -- is increasing as researchers' skill with "big data" matures. Duke University's Pro

Externí odkaz: http://arxiv.org/abs/1710.03317

Additional file 1 of An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility

Autor: Liuyang Wang, Balmat, Thomas J., Antonia, Alejandro L., Constantine, Florica J., Henao, Ricardo, Burke, Thomas W., Ingham, Andy, McClain, Micah T., Tsalik, Ephraim L., Ko, Emily R., Ginsburg, Geoffrey S., DeLong, Mark R., Xiling Shen, Woods, Christopher W., Hauser, Elizabeth R., Ko, Dennis C.

Additional file 1. iCPAGdb Web App Supplement.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29832def80633d18dcd85b1304cef401

Additional file 4 of An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility

Autor: Liuyang Wang, Balmat, Thomas J., Antonia, Alejandro L., Constantine, Florica J., Henao, Ricardo, Burke, Thomas W., Ingham, Andy, McClain, Micah T., Tsalik, Ephraim L., Ko, Emily R., Ginsburg, Geoffrey S., DeLong, Mark R., Xiling Shen, Woods, Christopher W., Hauser, Elizabeth R., Ko, Dennis C.

Additional file 4: Figure S2. Histogram of shared SNPs for each trait pair in NHGRI-EBI GWAS catalog from iCPAGdb at false discovery rate of 0.1.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4db46c217ee925c1a4fe19e3ce3dac4

An atlas of genetic variation for linking pathogen-induced cellular traits to human disease

Autor: Wang, Liuyang, Pittman, Kelly J., Barker, Jeffrey R., Salinas, Raul E., Stanaway, Ian B., Williams, Graham D., Carroll, Robert J., Balmat, Tom, Ingham, Andy, Gopalakrishnan, Anusha M., Gibbs, Kyle D., Antonia, Alejandro L., Heitman, Joseph, Lee, Soo Chan, Jarvick, Gail P., Denny, Joshua C., Horner, Stacy M., Delong, Mark R., Valdivia, Raphael H., Crosslin, David R., Ko, Dennis C.

SummaryGenome-wide association studies (GWAS) have identified thousands of genetic variants associated with disease. To facilitate moving from associations to disease mechanisms, we leveraged the role of pathogens in shaping human evolution with the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3a9aa0e9fee57a61d9cb3f42273755e
https://doi.org/10.1101/202325

An atlas connecting shared genetic architecture of human diseases and molecular phenotypes provides insight into COVID-19 susceptibility.

Autor: Wang L; Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA., Balmat TJ; Duke Research Computing, Duke University, Durham, NC 27710, USA., Antonia AL; Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA., Constantine FJ; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA., Henao R; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA., Burke TW; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA., Ingham A; Duke Research Computing, Duke University, Durham, NC 27710, USA., McClain MT; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA.; Durham Veterans Affairs Health Care System, Durham, NC 27705, USA.; Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA., Tsalik EL; Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA.; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA.; Durham Veterans Affairs Health Care System, Durham, NC 27705, USA.; Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA., Ko ER; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA.; Department of Hospital Medicine, Duke Regional Hospital, Durham, NC, 27705, USA., Ginsburg GS; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA., DeLong MR; Duke Research Computing, Duke University, Durham, NC 27710, USA., Shen X; Department of Biomedical Engineering, Woo Center for Big Data and Precision Health, Duke University, Durham, NC 27710, USA., Woods CW; Center for Applied Genomics and Precision Medicine, Department of Medicine, Duke University, Durham, NC 27710, USA.; Durham Veterans Affairs Health Care System, Durham, NC 27705, USA.; Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA., Hauser ER; Duke Molecular Physiology Institute and Department of Biostatistics and Bioinformatics, Duke University Medical Center Durham, NC 27710, USA.; Cooperative Studies Program Epidemiology Center-Durham, Durham VA Health Care System, Durham, NC 27705, USA., Ko DC; Department of Molecular Genetics and Microbiology, School of Medicine, Duke University, Durham, NC 27710, USA.; Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, Durham, NC 27710, USA.; Lead contact.

Publikováno v: MedRxiv : the preprint server for health sciences [medRxiv] 2020 Dec 22. Date of Electronic Publication: 2020 Dec 22.