Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Benjamin Geraghty"'
Autor:
Parsa Akbari, Olukayode A. Sosina, Jonas Bovijn, Karl Landheer, Jonas B. Nielsen, Minhee Kim, Senem Aykul, Tanima De, Mary E. Haas, George Hindy, Nan Lin, Ian R. Dinsmore, Jonathan Z. Luo, Stefanie Hectors, Benjamin Geraghty, Mary Germino, Lampros Panagis, Prodromos Parasoglou, Johnathon R. Walls, Gabor Halasz, Gurinder S. Atwal, Regeneron Genetics Center, DiscovEHR Collaboration, Marcus Jones, Michelle G. LeBlanc, Christopher D. Still, David J. Carey, Alice Giontella, Marju Orho-Melander, Jaime Berumen, Pablo Kuri-Morales, Jesus Alegre-Díaz, Jason M. Torres, Jonathan R. Emberson, Rory Collins, Daniel J. Rader, Brian Zambrowicz, Andrew J. Murphy, Suganthi Balasubramanian, John D. Overton, Jeffrey G. Reid, Alan R. Shuldiner, Michael Cantor, Goncalo R. Abecasis, Manuel A. R. Ferreira, Mark W. Sleeman, Viktoria Gusarova, Judith Altarejos, Charles Harris, Aris N. Economides, Vincent Idone, Katia Karalis, Giusy Della Gatta, Tooraj Mirshahi, George D. Yancopoulos, Olle Melander, Jonathan Marchini, Roberto Tapia-Conyer, Adam E. Locke, Aris Baras, Niek Verweij, Luca A. Lotta
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Fat distribution is associated with cardiometabolic disease, although it has been less well studied than overall obesity. In a multiancestry exome-sequencing study, the authors identified predicted loss-of-function mutations in INHBE associated with
Externí odkaz:
https://doaj.org/article/9f24eb7300be4033aaf87fbf13407526
Autor:
Biranavan Uthayakumar, Hany Soliman, Nadia D. Bragagnolo, Nicole I. C. Cappelletto, Casey Y. Lee, Benjamin Geraghty, Albert P. Chen, William J. Perks, Nathan Ma, Chris Heyn, Ruby Endre, Bradley J. MacIntosh, Greg J. Stanisz, Sandra E. Black, Charles H. Cunningham
Publikováno v:
Human Brain Mapping.
Gene-based burden tests are a popular and powerful approach for analysis of exome-wide association studies. These approaches combine sets of variants within a gene into a single burden score that is then tested for association. Typically, a range of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fefcf1a4589c38be759dc61b71cbf6f5
https://doi.org/10.1101/2023.02.22.529560
https://doi.org/10.1101/2023.02.22.529560
Autor:
Nauman Malik, Benjamin Geraghty, Archya Dasgupta, Pejman Jabehdar Maralani, Michael Sandhu, Jay Detsky, Chia-Lin Tseng, Hany Soliman, Sten Myrehaug, Zain Husain, James Perry, Angus Lau, Arjun Sahgal, Gregory Czarnota
Background The peritumoral region (PTR) of glioblastoma (GBM) appears as a T2W-hyperintensity and is characterized by microscopic tumor and edema. Infiltrative low grade glioma (LGG) comprises tumor cells that seem similar to GBM PTR on MRI. The work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6ae1c3fbac188fc2e15876ace2e11d2
https://doi.org/10.21203/rs.3.rs-758924/v1
https://doi.org/10.21203/rs.3.rs-758924/v1
Autor:
Archya Dasgupta, Benjamin Geraghty, Pejman Jabehdar Maralani, Nauman Malik, Michael Sandhu, Jay Detsky, Chia-Lin (Eric) Tseng, Hany Soliman, Sten Myrehaug, Zain Husain, James Perry, Angus Lau, Arjun Sahgal, Gregory Czarnota
Purpose: The peritumoral region (PTR) in glioblastoma (GBM) represents a combination of infiltrative tumor and vasogenic edema, which are indistinguishable on magnetic resonance imaging (MRI). We developed a radiomic signature by using imaging data f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9285ccbbeef29bbcc73204245215959e
https://doi.org/10.21203/rs.3.rs-263971/v1
https://doi.org/10.21203/rs.3.rs-263971/v1
Autor:
Archya, Dasgupta, Benjamin, Geraghty, Pejman Jabehdar, Maralani, Nauman, Malik, Michael, Sandhu, Jay, Detsky, Chia-Lin, Tseng, Hany, Soliman, Sten, Myrehaug, Zain, Husain, James, Perry, Angus, Lau, Arjun, Sahgal, Gregory J, Czarnota
Publikováno v:
Journal of neuro-oncology. 153(2)
The peritumoral region (PTR) in glioblastoma (GBM) represents a combination of infiltrative tumor and vasogenic edema, which are indistinguishable on magnetic resonance imaging (MRI). We developed a radiomic signature by using imaging data from low g