Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Saonli Basu"'
Autor:
Sampada S. Nikam, Vikram Gota, Prakash C. Gupta, Namrata Puntambekar, Arjun Singh, Pankaj Chaturvedi, Peter W. Villalta, Dorothy K. Hatsukami, Jasjit S. Ahluwalia, Saonli Basu, Samir S. Khariwala, Irina Stepanov
Publikováno v:
The Lancet Regional Health - Southeast Asia, Vol 29, Iss , Pp 100457- (2024)
Summary: Background: India has the highest incidence worldwide of smokeless tobacco (SLT)-associated oral cancer, accounting for nearly 70% of all SLT users globally. Nicotine and tobacco-specific N-nitrosamines (TSNA) play critical roles in the addi
Externí odkaz:
https://doaj.org/article/b3907a11114e4525b5c61663a69749fd
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract We propose a resampling-based fast variable selection technique for detecting relevant single nucleotide polymorphisms (SNP) in a multi-marker mixed effect model. Due to computational complexity, current practice primarily involves testing t
Externí odkaz:
https://doaj.org/article/f879094828b444d2a7b291384b87884e
Autor:
David Stacey, Lingyan Chen, Paulina J. Stanczyk, Joanna M. M. Howson, Amy M. Mason, Stephen Burgess, Stephen MacDonald, Jonathan Langdown, Harriett McKinney, Kate Downes, Neda Farahi, James E. Peters, Saonli Basu, James S. Pankow, Weihong Tang, Nathan Pankratz, Maria Sabater-Lleal, Paul S. de Vries, Nicholas L. Smith, CHARGE Hemostasis Working Group, Amy D. Gelinas, Daniel J. Schneider, Nebojsa Janjic, Nilesh J. Samani, Shu Ye, Charlotte Summers, Edwin R. Chilvers, John Danesh, Dirk S. Paul
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-15 (2022)
Many individual genetic risk loci associate with multiple diseases, but the molecular basis of these loci often remains unclear. Here, the authors provide a framework to reveal the genetic cross-disease associations at the PROCR vascular disease locu
Externí odkaz:
https://doaj.org/article/06e0764427f642ea9f1647a016e4fe9d
Publikováno v:
PLoS Genetics, Vol 18, Iss 4, p e1010151 (2022)
With the advent of high throughput genetic data, there have been attempts to estimate heritability from genome-wide SNP data on a cohort of distantly related individuals using linear mixed model (LMM). Fitting such an LMM in a large scale cohort stud
Externí odkaz:
https://doaj.org/article/94a2d31a063c4bd3b52ae737e1774eb5
Autor:
David Stacey, Lingyan Chen, Paulina J. Stanczyk, Joanna M. M. Howson, Amy M. Mason, Stephen Burgess, Stephen MacDonald, Jonathan Langdown, Harriett McKinney, Kate Downes, Neda Farahi, James E. Peters, Saonli Basu, James S. Pankow, Weihong Tang, Nathan Pankratz, Maria Sabater-Lleal, Paul S. de Vries, Nicholas L. Smith, CHARGE Hemostasis Working Group, Amy D. Gelinas, Daniel J. Schneider, Nebojsa Janjic, Nilesh J. Samani, Shu Ye, Charlotte Summers, Edwin R. Chilvers, John Danesh, Dirk S. Paul
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/1a0ca0f841d5435e8760059b3c401a54
Autor:
Pamela L. Lutsey, B. Gwen Windham, Jeffrey R. Misialek, Mary Cushman, Anna Kucharska‐Newton, Saonli Basu, Aaron R. Folsom
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 9, Iss 12 (2020)
Background Relatively little is known about the long‐term consequences of venous thromboembolism (VTE) on physical functioning. We compared long‐term frailty status, physical function, and quality of life among survivors of VTE with survivors of
Externí odkaz:
https://doaj.org/article/26ca82e650d745aa88876c85fe89f63b
Publikováno v:
BMC Genetics, Vol 18, Iss 1, Pp 1-15 (2017)
Abstract Background Genome-wide association studies involve detecting association between millions of genetic variants and a trait, which typically use univariate regression to test association between each single variant and the phenotype. Alternati
Externí odkaz:
https://doaj.org/article/bb12d7dd1a40432e90dd00dd147fe6d1
Publikováno v:
Cancer Informatics, Vol 17 (2018)
Osteosarcoma is considered to be the most common primary malignant bone cancer among children and young adults. Previous studies suggest growth spurts and height to be risk factors for osteosarcoma. However, studies on the genetic cause are still lim
Externí odkaz:
https://doaj.org/article/b9d185330c9944d6a114fbba5072ee52
Autor:
Paul S de Vries, Maria Sabater-Lleal, Daniel I Chasman, Stella Trompet, Tarunveer S Ahluwalia, Alexander Teumer, Marcus E Kleber, Ming-Huei Chen, Jie Jin Wang, John R Attia, Riccardo E Marioni, Maristella Steri, Lu-Chen Weng, Rene Pool, Vera Grossmann, Jennifer A Brody, Cristina Venturini, Toshiko Tanaka, Lynda M Rose, Christopher Oldmeadow, Johanna Mazur, Saonli Basu, Mattias Frånberg, Qiong Yang, Symen Ligthart, Jouke J Hottenga, Ann Rumley, Antonella Mulas, Anton J M de Craen, Anne Grotevendt, Kent D Taylor, Graciela E Delgado, Annette Kifley, Lorna M Lopez, Tina L Berentzen, Massimo Mangino, Stefania Bandinelli, Alanna C Morrison, Anders Hamsten, Geoffrey Tofler, Moniek P M de Maat, Harmen H M Draisma, Gordon D Lowe, Magdalena Zoledziewska, Naveed Sattar, Karl J Lackner, Uwe Völker, Barbara McKnight, Jie Huang, Elizabeth G Holliday, Mark A McEvoy, John M Starr, Pirro G Hysi, Dena G Hernandez, Weihua Guan, Fernando Rivadeneira, Wendy L McArdle, P Eline Slagboom, Tanja Zeller, Bruce M Psaty, André G Uitterlinden, Eco J C de Geus, David J Stott, Harald Binder, Albert Hofman, Oscar H Franco, Jerome I Rotter, Luigi Ferrucci, Tim D Spector, Ian J Deary, Winfried März, Andreas Greinacher, Philipp S Wild, Francesco Cucca, Dorret I Boomsma, Hugh Watkins, Weihong Tang, Paul M Ridker, Jan W Jukema, Rodney J Scott, Paul Mitchell, Torben Hansen, Christopher J O'Donnell, Nicholas L Smith, David P Strachan, Abbas Dehghan
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0167742 (2017)
An increasing number of genome-wide association (GWA) studies are now using the higher resolution 1000 Genomes Project reference panel (1000G) for imputation, with the expectation that 1000G imputation will lead to the discovery of additional associa
Externí odkaz:
https://doaj.org/article/747b3e99f9484bed947ca09451fdbbf2
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0139355 (2015)
Multi-locus effect modeling is a powerful approach for detection of genes influencing a complex disease. Especially for rare variants, we need to analyze multiple variants together to achieve adequate power for detection. In this paper, we propose se
Externí odkaz:
https://doaj.org/article/2c60841a359649c284086186dc0fdc01