Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Francisco, Tanudjaja"'
Autor:
Guillaume Butler-Laporte, Gundula Povysil, Jack A Kosmicki, Elizabeth T Cirulli, Theodore Drivas, Simone Furini, Chadi Saad, Axel Schmidt, Pawel Olszewski, Urszula Korotko, Mathieu Quinodoz, Elifnaz Çelik, Kousik Kundu, Klaudia Walter, Junghyun Jung, Amy D Stockwell, Laura G Sloofman, Daniel M Jordan, Ryan C Thompson, Diane Del Valle, Nicole Simons, Esther Cheng, Robert Sebra, Eric E Schadt, Seunghee Kim-Schulze, Sacha Gnjatic, Miriam Merad, Joseph D Buxbaum, Noam D Beckmann, Alexander W Charney, Bartlomiej Przychodzen, Timothy Chang, Tess D Pottinger, Ning Shang, Fabian Brand, Francesca Fava, Francesca Mari, Karolina Chwialkowska, Magdalena Niemira, Szymon Pula, J Kenneth Baillie, Alex Stuckey, Antonio Salas, Xabier Bello, Jacobo Pardo-Seco, Alberto Gómez-Carballa, Irene Rivero-Calle, Federico Martinón-Torres, Andrea Ganna, Konrad J Karczewski, Kumar Veerapen, Mathieu Bourgey, Guillaume Bourque, Robert Jm Eveleigh, Vincenzo Forgetta, David Morrison, David Langlais, Mark Lathrop, Vincent Mooser, Tomoko Nakanishi, Robert Frithiof, Michael Hultström, Miklos Lipcsey, Yanara Marincevic-Zuniga, Jessica Nordlund, Kelly M Schiabor Barrett, William Lee, Alexandre Bolze, Simon White, Stephen Riffle, Francisco Tanudjaja, Efren Sandoval, Iva Neveux, Shaun Dabe, Nicolas Casadei, Susanne Motameny, Manal Alaamery, Salam Massadeh, Nora Aljawini, Mansour S Almutairi, Yaseen M Arabi, Saleh A Alqahtani, Fawz S Al Harthi, Amal Almutairi, Fatima Alqubaishi, Sarah Alotaibi, Albandari Binowayn, Ebtehal A Alsolm, Hadeel El Bardisy, Mohammad Fawzy, Fang Cai, Nicole Soranzo, Adam Butterworth, COVID-19 Host Genetics Initiative, DeCOI Host Genetics Group, GEN-COVID Multicenter Study (Italy), Mount Sinai Clinical Intelligence Center, GEN-COVID consortium (Spain), GenOMICC Consortium, Japan COVID-19 Task Force, Regeneron Genetics Center, Daniel H Geschwind, Stephanie Arteaga, Alexis Stephens, Manish J Butte, Paul C Boutros, Takafumi N Yamaguchi, Shu Tao, Stefan Eng, Timothy Sanders, Paul J Tung, Michael E Broudy, Yu Pan, Alfredo Gonzalez, Nikhil Chavan, Ruth Johnson, Bogdan Pasaniuc, Brian Yaspan, Sandra Smieszek, Carlo Rivolta, Stephanie Bibert, Pierre-Yves Bochud, Maciej Dabrowski, Pawel Zawadzki, Mateusz Sypniewski, Elżbieta Kaja, Pajaree Chariyavilaskul, Voraphoj Nilaratanakul, Nattiya Hirankarn, Vorasuk Shotelersuk, Monnat Pongpanich, Chureerat Phokaew, Wanna Chetruengchai, Katsushi Tokunaga, Masaya Sugiyama, Yosuke Kawai, Takanori Hasegawa, Tatsuhiko Naito, Ho Namkoong, Ryuya Edahiro, Akinori Kimura, Seishi Ogawa, Takanori Kanai, Koichi Fukunaga, Yukinori Okada, Seiya Imoto, Satoru Miyano, Serghei Mangul, Malak S Abedalthagafi, Hugo Zeberg, Joseph J Grzymski, Nicole L Washington, Stephan Ossowski, Kerstin U Ludwig, Eva C Schulte, Olaf Riess, Marcin Moniuszko, Miroslaw Kwasniewski, Hamdi Mbarek, Said I Ismail, Anurag Verma, David B Goldstein, Krzysztof Kiryluk, Alessandra Renieri, Manuel A R Ferreira, J Brent Richards
Publikováno v:
PLoS Genetics, Vol 18, Iss 11, p e1010367 (2022)
Host genetics is a key determinant of COVID-19 outcomes. Previously, the COVID-19 Host Genetics Initiative genome-wide association study used common variants to identify multiple loci associated with COVID-19 outcomes. However, variants with the larg
Externí odkaz:
https://doaj.org/article/5f79e367675d482a9faf89902afbc030
Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts
Autor:
Elizabeth T. Cirulli, Simon White, Robert W. Read, Gai Elhanan, William J. Metcalf, Francisco Tanudjaja, Donna M. Fath, Efren Sandoval, Magnus Isaksson, Karen A. Schlauch, Joseph J. Grzymski, James T. Lu, Nicole L. Washington
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Population-based association analyses of rare genetic variants with complex traits are limited by the availability of data from sufficiently large cohorts. Here, Cirulli et al. report gene-based collapsing analysis of exomes from 49,960 participants
Externí odkaz:
https://doaj.org/article/1a27704ae2324129bc0ffad091c43998
Autor:
Irene V. van Blokland, Pauline Lanting, Anil P. S. Ori, Judith M. Vonk, Robert C. A. Warmerdam, Johanna C. Herkert, Floranne Boulogne, Annique Claringbould, Esteban A. Lopera-Maya, Meike Bartels, Jouke-Jan Hottenga, Andrea Ganna, Juha Karjalainen, Lifelines COVID-19 cohort study, The COVID-19 Host Genetics Initiative, Caroline Hayward, Chloe Fawns-Ritchie, Archie Campbell, David Porteous, Elizabeth T. Cirulli, Kelly M. Schiabor Barrett, Stephen Riffle, Alexandre Bolze, Simon White, Francisco Tanudjaja, Xueqing Wang, Jimmy M. Ramirez, Yan Wei Lim, James T. Lu, Nicole L. Washington, Eco J. C. de Geus, Patrick Deelen, H. Marike Boezen, Lude H. Franke
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
Epidemiological and genetic studies on COVID-19 are currently hindered by inconsistent and limited testing policies to confirm SARS-CoV-2 infection. Recently, it was shown that it is possible to predict COVID-19 cases using cross-sectional self-repor
Externí odkaz:
https://doaj.org/article/48e7e653327e48aabd22b8438d85070f
Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts
Autor:
Magnus Isaksson, Robert W Read, Simon R. White, Francisco Tanudjaja, Karen Schlauch, Nicole L. Washington, Joseph J. Grzymski, Gai Elhanan, Elizabeth T. Cirulli, Donna M. Fath, Efren Sandoval, William J. Metcalf, James T. Lu
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Nature Communications
Nature Communications
Understanding the impact of rare variants is essential to understanding human health. We analyze rare (MAF
Population-based association analyses of rare genetic variants with complex traits are limited by the availability of data from sufficient
Population-based association analyses of rare genetic variants with complex traits are limited by the availability of data from sufficient
Autor:
Alexandre Bolze, Shishi Luo, Simon White, Elizabeth T. Cirulli, Dana Wyman, Andrew Dei Rossi, Henrique Machado, Tyler Cassens, Sharoni Jacobs, Kelly M. Schiabor Barrett, Francisco Tanudjaja, Kevin Tsan, Jason Nguyen, Jimmy M. Ramirez, Efren Sandoval, Xueqing Wang, David Wong, David Becker, Marc Laurent, James T. Lu, Magnus Isaksson, Nicole L. Washington, William Lee
Publikováno v:
SSRN Electronic Journal.
We report on the sequencing of 74,348 SARS-CoV-2 positive samples collected across the United States and show that the Delta variant, first detected in the United States in March 2021, made up the majority of SARS-CoV-2 infections by July 1, 2021 and
Autor:
Caroline Hayward, Lude Franke, Francisco Tanudjaja, Meike Bartels, Chloe Fawns-Ritchie, Jimmy M. Ramirez, Kelly M. Schiabor Barrett, David J. Porteous, Patrick Deelen, Jouke-Jan Hottenga, Xueqing Wang, Simon D. M. White, Nicole L. Washington, Floranne Boulogne, Andrea Ganna, Esteban A. Lopera-Maya, Robert Warmerdam, Anil P.S. Ori, Alexandre Bolze, Elizabeth T. Cirulli, Stephen Riffle, Archie Campbell, Annique Claringbould, Eco J. C. de Geus, Johanna C. Herkert, Judith M. Vonk, H. Marike Boezen, Irene V. van Blokland, James T. Lu, Yan Wei Lim, Juha Karjalainen, Pauline Lanting
Publikováno v:
PLoS ONE, Vol 16, Iss 8, p e0255402 (2021)
van Blokland, I V, Lanting, P, Ori, A P S, Vonk, J M, Warmerdam, R C A, Herkert, J C, Boulogne, F, Claringbould, A, Lopera-Maya, E A, Bartels, M, Hottenga, J J, Ganna, A, Karjalainen, J, Hayward, C, Fawns-Ritchie, C, Campbell, A, Porteous, D, Cirulli, E T, Barrett, K M S, Riffle, S, Bolze, A, White, S, Tanudjaja, F, Wang, X, Ramirez, J M, Lim, Y W, Lu, J T, Washington, N L, de Geus, E J C & Deelen, P & Boezen, H M & Franke, L H 2021, ' Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility ', PLoS ONE, vol. 16, no. 8, e0255402 . https://doi.org/10.1371/journal.pone.0255402
PLoS ONE, 16(8):e0255402. PUBLIC LIBRARY SCIENCE
PLoS ONE, Vol 16, Iss 8 (2021)
van Blokland, I V, Lanting, P, Ori, A P S, Vonk, J M, Warmerdam, R C A, Herkert, J C, Boulogne, F, Claringbould, A, Lopera-Maya, E A, Bartels, M, Hottenga, J J, Ganna, A, Karjalainen, J, Hayward, C, Fawns-Ritchie, C, Campbell, A, Porteous, D, Cirulli, E T, Barrett, K M S, Riffle, S, Bolze, A, White, S, Tanudjaja, F, Wang, X, Ramirez, J M, Lim, Y W, Lu, J T, Washington, N L, de Geus, E J C, Deelen, P, Boezen, H M & Franke, L H 2021, ' Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility ', PLoS ONE, vol. 16, no. 8, e0255402, pp. 1-18 . https://doi.org/10.1371/journal.pone.0255402
PLoS ONE, 16(8):e0255402, 1-18. Public Library of Science
PLoS ONE
van Blokland, I V, Lanting, P, Ori, A P S, Vonk, J M, Warmerdam, R C A, Herkert, J C, Boulogne, F, Claringbould, A, Lopera-Maya, E A, Bartels, M, Hottenga, J J, Ganna, A, Karjalainen, J, Hayward, C, Fawns-Ritchie, C, Campbell, A, Porteous, D, Cirulli, E T, Barrett, K M S, Riffle, S, Bolze, A, White, S, Tanudjaja, F, Wang, X, Ramirez, J M, Lim, Y W, Lu, J T, Washington, N L, de Geus, E J C & Deelen, P & Boezen, H M & Franke, L H 2021, ' Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility ', PLoS ONE, vol. 16, no. 8, e0255402 . https://doi.org/10.1371/journal.pone.0255402
PLoS ONE, 16(8):e0255402. PUBLIC LIBRARY SCIENCE
PLoS ONE, Vol 16, Iss 8 (2021)
van Blokland, I V, Lanting, P, Ori, A P S, Vonk, J M, Warmerdam, R C A, Herkert, J C, Boulogne, F, Claringbould, A, Lopera-Maya, E A, Bartels, M, Hottenga, J J, Ganna, A, Karjalainen, J, Hayward, C, Fawns-Ritchie, C, Campbell, A, Porteous, D, Cirulli, E T, Barrett, K M S, Riffle, S, Bolze, A, White, S, Tanudjaja, F, Wang, X, Ramirez, J M, Lim, Y W, Lu, J T, Washington, N L, de Geus, E J C, Deelen, P, Boezen, H M & Franke, L H 2021, ' Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility ', PLoS ONE, vol. 16, no. 8, e0255402, pp. 1-18 . https://doi.org/10.1371/journal.pone.0255402
PLoS ONE, 16(8):e0255402, 1-18. Public Library of Science
PLoS ONE
Epidemiological and genetic studies on COVID-19 are currently hindered by inconsistent and limited testing policies to confirm SARS-CoV-2 infection. Recently, it was shown that it is possible to predict COVID-19 cases using cross-sectional self-repor
Autor:
Joseph J. Grzymski, Magnus Isaksson, Misha Rashkin, Ruomu Jiang, Andrew Dei Rossi, Francisco Tanudjaja, William J. Metcalf, Alexandre Bolze, William E. Lee, Simon R. White, Fernando L. Mendez, James T. Lu, Nicole L. Washington, Elizabeth T. Cirulli
SummaryHigh quality population allele frequencies of DNA variants can be used to discover new biology, and study rare disorders. Here, we created a public catalog of mitochondrial DNA variants based on a population of 195,983 individuals. We focused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::986b4e32bdd9d01d561adc62e2581144
https://doi.org/10.1101/798264
https://doi.org/10.1101/798264