Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Greenwood Celia MT"'
Autor:
Niell Bethany, Hamel Nancy, Veenstra Justin, Sun Shuying, Greenwood Celia MT, Gruber Stephen, Foulkes William D
Publikováno v:
BMC Genetics, Vol 11, Iss 1, p 39 (2010)
Abstract Background Several founder mutations leading to increased risk of cancer among Ashkenazi Jewish individuals have been identified, and some estimates of the age of the mutations have been published. A variety of different methods have been us
Externí odkaz:
https://doaj.org/article/d14c7896f93b4f97bc784356666e2ce7
Publikováno v:
BMC Genomics, Vol 7, Iss 1, p 33 (2006)
Abstract Background Microarray data analysts commonly filter out genes based on a number of ad hoc criteria prior to any high-level statistical analysis. Such ad hoc approaches could lead to conflicting conclusions with no clear guidance as to which
Externí odkaz:
https://doaj.org/article/8c27f3ad17504a54a8b56ed09b084e90
Publikováno v:
BMC Bioinformatics, Vol 6, Iss 1, p 128 (2005)
Abstract Background With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases statistical power of detecting differentially expressed genes
Externí odkaz:
https://doaj.org/article/ef7ada64599744e9907fd7b183a36be7
Recent technological advances in many domains including both genomics and brain imaging have led to an abundance of high-dimensional and correlated data being routinely collected. Classical multivariate approaches like Multivariate Analysis of Varian
Externí odkaz:
http://arxiv.org/abs/1811.07356
Autor:
Su, Chen-Yang, Zhou, Sirui, Gonzalez-Kozlova, Edgar, Butler-Laporte, Guillaume, Brunet-Ratnasingham, Elsa, Nakanishi, Tomoko, Jeon, Wonseok, Morrison, David R, Laurent, Laetitia, Afilalo, Jonathan, Afilalo, Marc, Henry, Danielle, Chen, Yiheng, Carrasco-Zanini, Julia, Farjoun, Yossi, Pietzner, Maik, Kimchi, Nofar, Afrasiabi, Zaman, Rezk, Nardin, Bouab, Meriem, Petitjean, Louis, Guzman, Charlotte, Xue, Xiaoqing, Tselios, Chris, Vulesevic, Branka, Adeleye, Olumide, Abdullah, Tala, Almamlouk, Noor, Moussa, Yara, DeLuca, Chantal, Duggan, Naomi, Schurr, Erwin, Brassard, Nathalie, Durand, Madeleine, Del Valle, Diane Marie, Thompson, Ryan, Cedillo, Mario A, Schadt, Eric, Nie, Kai, Simons, Nicole W, Mouskas, Konstantinos, Zaki, Nicolas, Patel, Manishkumar, Xie, Hui, Harris, Jocelyn, Marvin, Robert, Cheng, Esther, Tuballes, Kevin, Argueta, Kimberly, Scott, Ieisha, Mount Sinai COVID-19 Biobank Team, Greenwood, Celia MT, Paterson, Clare, Hinterberg, Michael A, Langenberg, Claudia, Forgetta, Vincenzo, Pineau, Joelle, Mooser, Vincent, Marron, Thomas, Beckmann, Noam D, Kim-Schulze, Seunghee, Charney, Alexander W, Gnjatic, Sacha, Kaufmann, Daniel E, Merad, Miriam, Richards, J Brent
Predicting COVID-19 severity is difficult, and the biological pathways involved are not fully understood. To approach this problem, we measured 4701 circulating human protein abundances in two independent cohorts totaling 986 individuals. We then tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2aaed44aee4520657344457f2c76a9c3
https://www.repository.cam.ac.uk/handle/1810/348712
https://www.repository.cam.ac.uk/handle/1810/348712
Publikováno v:
Journal of Bone & Mineral Research; Dec2023, Vol. 38 Issue 12, p1771-1781, 11p
Autor:
Butler-Laporte, Guillaume, Gonzalez-Kozlova, Edgar, Su, Chen-Yang, Zhou, Sirui, Nakanishi, Tomoko, Brunet-Ratnasingham, Elsa, Morrison, David, Laurent, Laetitia, Afilalo, Jonathan, Afilalo, Marc, Henry, Danielle, Chen, Yiheng, Carrasco-Zanini, Julia, Farjoun, Yossi, Pietzner, Maik, Kimchi, Nofar, Afrasiabi, Zaman, Rezk, Nardin, Bouab, Meriem, Petitjean, Louis, Guzman, Charlotte, Xue, Xiaoqing, Tselios, Chris, Vulesevic, Branka, Adeleye, Olumide, Abdullah, Tala, Almamlouk, Noor, Moussa, Yara, DeLuca, Chantal, Duggan, Naomi, Schurr, Erwin, Brassard, Nathalie, Durand, Madeleine, Del Valle, Diane Marie, Thompson, Ryan, Cedillo, Mario A, Schadt, Eric, Nie, Kai, Simons, Nicole W, Mouskas, Konstantinos, Zaki, Nicolas, Patel, Manishkumar, Xie, Hui, Harris, Jocelyn, Marvin, Robert, Cheng, Esther, Tuballes, Kevin, Argueta, Kimberly, Scott, Ieisha, Mount Sinai COVID-19 Biobank Team, Greenwood, Celia MT, Paterson, Clare, Hinterberg, Michael, Langenberg, Claudia, Forgetta, Vincenzo, Mooser, Vincent, Marron, Thomas, Beckmann, Noam, Kenigsberg, Ephraim, Charney, Alexander W, Kim-Schulze, Seunghee, Merad, Miriam, Kaufmann, Daniel E, Gnjatic, Sacha, Richards, J Brent
Funder: Public health agency of Canada
Funder: Canadian institute for health research
Funder: Génome Québec; doi: http://dx.doi.org/10.13039/100013062
Funder: Fonds de Recherche du Québec - Santé; doi: http://dx.doi.org/10.13039/50
Funder: Canadian institute for health research
Funder: Génome Québec; doi: http://dx.doi.org/10.13039/100013062
Funder: Fonds de Recherche du Québec - Santé; doi: http://dx.doi.org/10.13039/50
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e77861e0e284e8fb7c0e0839b1ab0dd9
https://www.repository.cam.ac.uk/handle/1810/341450
https://www.repository.cam.ac.uk/handle/1810/341450
Autor:
Zhou, Sirui, Butler-Laporte, Guillaume, Nakanishi, Tomoko, Morrison, David R, Afilalo, Jonathan, Afilalo, Marc, Laurent, Laetitia, Pietzner, Maik, Kerrison, Nicola, Zhao, Kaiqiong, Brunet-Ratnasingham, Elsa, Henry, Danielle, Kimchi, Nofar, Afrasiabi, Zaman, Rezk, Nardin, Bouab, Meriem, Petitjean, Louis, Guzman, Charlotte, Xue, Xiaoqing, Tselios, Chris, Vulesevic, Branka, Adeleye, Olumide, Abdullah, Tala, Almamlouk, Noor, Chen, Yiheng, Chassé, Michaël, Durand, Madeleine, Paterson, Clare, Normark, Johan, Frithiof, Robert, Lipcsey, Miklós, Hultström, Michael, Greenwood, Celia MT, Zeberg, Hugo, Langenberg, Claudia, Thysell, Elin, Pollak, Michael, Mooser, Vincent, Forgetta, Vincenzo, Kaufmann, Daniel E, Richards, J Brent
To identify circulating proteins influencing Coronavirus Disease 2019 (COVID-19) susceptibility and severity, we undertook a two-sample Mendelian randomization (MR) study, rapidly scanning hundreds of circulating proteins while reducing bias due to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d64975db760d709f942d6ecfc2704986
https://www.repository.cam.ac.uk/handle/1810/321610
https://www.repository.cam.ac.uk/handle/1810/321610
Autor:
Lu, Tianyuan, Cardenas, Andres, Perron, Patrice, Hivert, Marie-France, Bouchard, Luigi, Greenwood, Celia MT
Publikováno v:
Clinical epigenetics, vol 13, iss 1
BackgroundEpigenome-wide association studies (EWAS) have provided opportunities to understand the role of epigenetic mechanisms in development and pathophysiology of many chronic diseases. However, an important limitation of conventional EWAS is that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c33862a00f99337031973922c3d0a46e
https://escholarship.org/uc/item/5g1370hw
https://escholarship.org/uc/item/5g1370hw
Background: The human microbiome comprises the microorganisms that inhabit the various locales of the human body and plays a vital role in human health. The composition of a microbial population is often quantified through measures of species diversi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b071ef0b768afe087059c662d3964e0d
https://hal-cnrs.archives-ouvertes.fr/hal-03058452
https://hal-cnrs.archives-ouvertes.fr/hal-03058452