Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Marion Patxot"'
Autor:
Marion Patxot, Daniel Trejo Banos, Athanasios Kousathanas, Etienne J. Orliac, Sven E. Ojavee, Gerhard Moser, Alexander Holloway, Julia Sidorenko, Zoltan Kutalik, Reedik Mägi, Peter M. Visscher, Lars Rönnegård, Matthew R. Robinson
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-16 (2021)
Improving inference in large-scale genetic data linked to electronic medical record data requires the development of novel computationally efficient regression methods. Here, the authors develop a Bayesian approach for association analyses to improve
Externí odkaz:
https://doaj.org/article/d0005592df464e3ea0bdfbf2ebf8a4d7
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract The extent to which women differ in the course of blood cell counts throughout pregnancy, and the importance of these changes to pregnancy outcomes has not been well defined. Here, we develop a series of statistical analyses of repeated meas
Externí odkaz:
https://doaj.org/article/4018dafa449942b7b906c3b69050d2b5
Autor:
Sven E. Ojavee, Athanasios Kousathanas, Daniel Trejo Banos, Etienne J. Orliac, Marion Patxot, Kristi Läll, Reedik Mägi, Krista Fischer, Zoltan Kutalik, Matthew R. Robinson
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Few genome-wide association studies have explored the genetic architecture of age-of-onset for traits and diseases. Here, the authors develop a Bayesian approach to improve prediction in timing-related phenotypes and perform age-of-onset analyses acr
Externí odkaz:
https://doaj.org/article/98babe5c070d44148cee67c1123085fa
Autor:
Robert F. Hillary, Daniel Trejo-Banos, Athanasios Kousathanas, Daniel L. McCartney, Sarah E. Harris, Anna J. Stevenson, Marion Patxot, Sven Erik Ojavee, Qian Zhang, David C. Liewald, Craig W. Ritchie, Kathryn L. Evans, Elliot M. Tucker-Drob, Naomi R. Wray, Allan F. McRae, Peter M. Visscher, Ian J. Deary, Matthew R. Robinson, Riccardo E. Marioni
Publikováno v:
Genome Medicine, Vol 12, Iss 1, Pp 1-15 (2020)
Abstract Background The molecular factors which control circulating levels of inflammatory proteins are not well understood. Furthermore, association studies between molecular probes and human traits are often performed by linear model-based methods
Externí odkaz:
https://doaj.org/article/19534d9a8ec84e659ab1448d4b67f986
Autor:
Daniel Trejo Banos, Daniel L. McCartney, Marion Patxot, Lucas Anchieri, Thomas Battram, Colette Christiansen, Ricardo Costeira, Rosie M. Walker, Stewart W. Morris, Archie Campbell, Qian Zhang, David J. Porteous, Allan F. McRae, Naomi R. Wray, Peter M. Visscher, Chris S. Haley, Kathryn L. Evans, Ian J. Deary, Andrew M. McIntosh, Gibran Hemani, Jordana T. Bell, Riccardo E. Marioni, Matthew R. Robinson
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
Linking epigenetic marks to clinical outcomes promises insight into the underlying processes. Here, the authors introduce a statistical approach to estimate associations between a phenotype and all epigenetic probes jointly, and to estimate the propo
Externí odkaz:
https://doaj.org/article/74bbcbe2232d46d983d1a26fad579404
Autor:
Eric Delarze, Ludivine Brandt, Emilie Trachsel, Marion Patxot, Claire Pralong, Fabio Maranzano, Murielle Chauvel, Mélanie Legrand, Sadri Znaidi, Marie-Elisabeth Bougnoux, Christophe d’Enfert, Dominique Sanglard
Publikováno v:
Frontiers in Microbiology, Vol 11 (2020)
Candida albicans is an important human pathogen and a major concern in intensive care units around the world. C. albicans infections are associated with a high mortality despite the use of antifungal treatments. One of the causes of therapeutic failu
Externí odkaz:
https://doaj.org/article/799827c4360b48afb222f32cd7b28ab8
Autor:
Daniel Trejo Banos, Daniel L. McCartney, Marion Patxot, Lucas Anchieri, Thomas Battram, Colette Christiansen, Ricardo Costeira, Rosie M. Walker, Stewart W. Morris, Archie Campbell, Qian Zhang, David J. Porteous, Allan F. McRae, Naomi R. Wray, Peter M. Visscher, Chris S. Haley, Kathryn L. Evans, Ian J. Deary, Andrew M. McIntosh, Gibran Hemani, Jordana T. Bell, Riccardo E. Marioni, Matthew R. Robinson
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-1 (2020)
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Externí odkaz:
https://doaj.org/article/808e1c193d6e49199fd632ef2d39b0d2
Autor:
Sven E. Ojavee, Liza Darrous, Marion Patxot, Kristi Läll, Krista Fischer, Reedik Mägi, Zoltan Kutalik, Matthew R. Robinson
There is currently little evidence that the genetic basis of human phenotype varies significantly across the lifespan. However, time-to-event phenotypes are understudied and can be thought of as reflecting an underlying hazard, which is unlikely to b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a64f9abac1079f417ced7c2133f93b02
https://doi.org/10.1101/2023.03.13.23287201
https://doi.org/10.1101/2023.03.13.23287201
Autor:
Marion Patxot, Miloš Stojanov, Sven Erik Ojavee, Rosanna Pescini Gobert, Zoltán Kutalik, Mathilde Gavillet, David Baud, Matthew R. Robinson
Publikováno v:
European journal of haematologyREFERENCES. 109(5)
About 800 women die every day worldwide from pregnancy-related complications, including excessive blood loss, infections and high-blood pressure (World Health Organization, 2019). To improve screening for high-risk pregnancies, we set out to identify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ad6ab0941431c2ae740e9dc9a4ccc7f
https://pubmed.ncbi.nlm.nih.gov/36059200
https://pubmed.ncbi.nlm.nih.gov/36059200
Autor:
Kristi Läll, Etienne J. Orliac, Marion Patxot, Zoltán Kutalik, Athanasios Kousathanas, Reedik Mägi, Sven Erik Ojavee, Daniel Trejo Banos, Matthew R. Robinson, Krista Fischer
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
Nature communications, vol. 12, no. 1, pp. 2337
Nature Communications
Nature communications, vol. 12, no. 1, pp. 2337
Nature Communications
While recent advancements in computation and modelling have improved the analysis of complex traits, our understanding of the genetic basis of the time at symptom onset remains limited. Here, we develop a Bayesian approach (BayesW) that provides prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a1db646a40ae5f974debd9ff3bb6990
https://doaj.org/article/98babe5c070d44148cee67c1123085fa
https://doaj.org/article/98babe5c070d44148cee67c1123085fa