Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Hugues Aschard"'
Autor:
Edwin K. Silverman, Justin Lee, Michael H. Cho, Iuliana Ionita-Laza, Chen Wang, Zihuai He, Wendy K. Chung, Joseph D. Buxbaum, Linxi Liu, Hugues Aschard, Richard Gill, James L. Dalgleish, Shiyang Ma
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, 2021, 118 (47), pp.e2105191118. ⟨10.1073/pnas.2105191118⟩
Proceedings of the National Academy of Sciences of the United States of America, 2021, 118 (47), pp.e2105191118. ⟨10.1073/pnas.2105191118⟩
Significance Gene-based tests are important tools for elucidating the genetic basis of complex traits. Despite substantial recent efforts in this direction, the existing tests are still limited, owing to low power and detection of false-positive sign
Autor:
Frank B. Hu, Eric B. Rimm, Peter Kraft, Vincent Laville, Andrey Ziyatdinov, Jihye Kim, Hugues Aschard
Publikováno v:
Genetics
Genetics, 2019, 211 (2), pp.483-494. ⟨10.1534/genetics.118.301394⟩
Genetics, Genetics Society of America, 2019, 211 (2), pp.483-494. ⟨10.1534/genetics.118.301394⟩
Genetics, 2019, 211 (2), pp.483-494. ⟨10.1534/genetics.118.301394⟩
Genetics, Genetics Society of America, 2019, 211 (2), pp.483-494. ⟨10.1534/genetics.118.301394⟩
Despite the extensive literature on methods for assessing interactions between genetic and environmental factors, approaches for the joint analysis of multiple G-E interactions are surprisingly lacking. Kim et al. compare the power and robustness....
Publikováno v:
American Journal of Human Genetics
American Journal of Human Genetics, Elsevier (Cell Press), 2019, 105 (6), pp.1213-1221. ⟨10.1016/j.ajhg.2019.11.001⟩
Am J Hum Genet
American Journal of Human Genetics, 2019, 105 (6), pp.1213-1221. ⟨10.1016/j.ajhg.2019.11.001⟩
Privé, F, Vilhjálmsson, B J, Aschard, H & Blum, M G B 2019, ' Making the Most of Clumping and Thresholding for Polygenic Scores ', American Journal of Human Genetics, vol. 105, no. 6, pp. 1213-1221 . https://doi.org/10.1016/j.ajhg.2019.11.001
American Journal of Human Genetics, Elsevier (Cell Press), 2019, 105 (6), pp.1213-1221. ⟨10.1016/j.ajhg.2019.11.001⟩
Am J Hum Genet
American Journal of Human Genetics, 2019, 105 (6), pp.1213-1221. ⟨10.1016/j.ajhg.2019.11.001⟩
Privé, F, Vilhjálmsson, B J, Aschard, H & Blum, M G B 2019, ' Making the Most of Clumping and Thresholding for Polygenic Scores ', American Journal of Human Genetics, vol. 105, no. 6, pp. 1213-1221 . https://doi.org/10.1016/j.ajhg.2019.11.001
Polygenic prediction has the potential to contribute to precision medicine. Clumping and Thresh-olding (C+T) is a widely used method to derive polygenic scores. When using C+T, it is common to test several p-value thresholds to maximize predictive ab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::477fe48dcfd1abdc7996cb2d6df19263
https://hal.archives-ouvertes.fr/hal-02414984/file/S0002929719304227.pdf
https://hal.archives-ouvertes.fr/hal-02414984/file/S0002929719304227.pdf
Autor:
Angel Martinez-Perez, Helena Brunel, Andrey Ziyatdinov, José Manuel Soria, Miquel Vázquez-Santiago, Hugues Aschard
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-5 (2018)
BMC Bioinformatics
BMC BIOINFORMATICS
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname
BMC Bioinformatics, BioMed Central, 2018, 19 (1), pp.68. ⟨10.1186/s12859-018-2057-x⟩
BMC Bioinformatics, 2018, 19 (1), pp.68. ⟨10.1186/s12859-018-2057-x⟩
BMC Bioinformatics
BMC BIOINFORMATICS
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname
BMC Bioinformatics, BioMed Central, 2018, 19 (1), pp.68. ⟨10.1186/s12859-018-2057-x⟩
BMC Bioinformatics, 2018, 19 (1), pp.68. ⟨10.1186/s12859-018-2057-x⟩
BackgroundQuantitative trait locus (QTL) mapping in genetic data often involves analysis of correlated observations, which need to be accounted for to avoid false association signals. This is commonly performed by modeling such correlations as random
Autor:
Vincent Guillemot, Bjarni J. Vilhjálmsson, Brian M. Wolpin, Peter Kraft, Chirag J. Patel, Chun Jimmie Ye, Noah Zaitlen, Hugues Aschard, David Skurnik
Publikováno v:
Nature genetics
Nature Genetics
Nature Genetics, Nature Publishing Group, 2017, 49 (12), pp.1789-1795. ⟨10.1038/ng.3975⟩
Nature genetics, vol 49, iss 12
Aschard, H, Guillemot, V, Vilhjalmsson, B, Patel, C J, Skurnik, D, Ye, C J, Wolpin, B, Kraft, P & Zaitlen, N 2017, ' Covariate selection for association screening in multiphenotype genetic studies ', Nature Genetics, vol. 49, no. 12, pp. 1789-1795 . https://doi.org/10.1038/ng.3975
Nature Genetics, 2017, 49 (12), pp.1789-1795. ⟨10.1038/ng.3975⟩
Nature Genetics
Nature Genetics, Nature Publishing Group, 2017, 49 (12), pp.1789-1795. ⟨10.1038/ng.3975⟩
Nature genetics, vol 49, iss 12
Aschard, H, Guillemot, V, Vilhjalmsson, B, Patel, C J, Skurnik, D, Ye, C J, Wolpin, B, Kraft, P & Zaitlen, N 2017, ' Covariate selection for association screening in multiphenotype genetic studies ', Nature Genetics, vol. 49, no. 12, pp. 1789-1795 . https://doi.org/10.1038/ng.3975
Nature Genetics, 2017, 49 (12), pp.1789-1795. ⟨10.1038/ng.3975⟩
International audience; Testing for associations in big data faces the problem of multiple comparisons, wherein true signals are difficult to detect on the background of all associations queried. This difficulty is particularly salient in human genet
Autor:
Mary F. Feitosa, DC Rao, Timothy D. Majarian, Vincent Laville, Hugues Aschard, Yun Ju Sung, Paul S. de Vries, Amy R. Bentley, Alisa K. Manning
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, 2020, 21 (1), pp.251. ⟨10.1186/s12859-020-03569-4⟩
BMC Bioinformatics, BioMed Central, 2020, 21 (1), pp.251. ⟨10.1186/s12859-020-03569-4⟩
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-11 (2020)
BMC Bioinformatics, 2020, 21 (1), pp.251. ⟨10.1186/s12859-020-03569-4⟩
BMC Bioinformatics, BioMed Central, 2020, 21 (1), pp.251. ⟨10.1186/s12859-020-03569-4⟩
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-11 (2020)
Background Models including an interaction term and performing a joint test of SNP and/or interaction effect are often used to discover Gene-Environment (GxE) interactions. When the environmental exposure is a binary variable, analyses from exposure-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9c557b8810dd3ff74399469daf614cc
https://doi.org/10.1101/693218
https://doi.org/10.1101/693218
Publikováno v:
Genetics
Genetics, 2019, 212 (1), pp.65-74. ⟨10.1534/genetics.119.302019⟩
Genetics, Genetics Society of America, 2019, 212 (1), pp.65-74. ⟨10.1534/genetics.119.302019⟩
Genetics, 2019, 212 (1), pp.65-74. ⟨10.1534/genetics.119.302019⟩
Genetics, Genetics Society of America, 2019, 212 (1), pp.65-74. ⟨10.1534/genetics.119.302019⟩
Polygenic risk scores (PRS) combine many single-nucleotide polymorphisms into a score reflecting the genetic risk of developing a disease. Privé, Aschard, and Blum present an efficient implementation of penalized logistic regression...
Polygeni
Polygeni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::300cd22db33ce6fceb46ae5c4deed9bc
https://hal.science/hal-02270812/file/65.full.pdf
https://hal.science/hal-02270812/file/65.full.pdf
Publikováno v:
Genetics, vol 211, iss 4
Genetics
Genetics, 2019, 211 (4), pp.1179-1189. ⟨10.1534/genetics.118.301768⟩
Genetics, Genetics Society of America, 2019, 211 (4), pp.1179-1189. ⟨10.1534/genetics.118.301768⟩
Genetics
Genetics, 2019, 211 (4), pp.1179-1189. ⟨10.1534/genetics.118.301768⟩
Genetics, Genetics Society of America, 2019, 211 (4), pp.1179-1189. ⟨10.1534/genetics.118.301768⟩
Biological, technical, and environmental confounders are ubiquitous in the high-dimensional, high-throughput functional genomic measurements being used to understand cellular biology and disease processes, and many approaches have been developed to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7958be379736ce8b9bc528532e2bd693
https://escholarship.org/uc/item/7c27b93j
https://escholarship.org/uc/item/7c27b93j
Autor:
David Skurnik, Noah Zaitlen, Eric J. Tchetgen Tchetgen, Jacques Cosnes, Harry Sokol, Laurent Beaugerie, Dan Knights, Hugues Aschard, Vincent Laville, Rinse K. Weersma, Philippe Seksik, Ramnik J. Xavier, Mark S. Silverberg, Floris Imhann
Publikováno v:
PLoS Genetics
PLoS Genetics, 2019, 15 (3), pp.e1008018. ⟨10.1371/journal.pgen.1008018⟩
PLoS genetics, 15(3):e1008018. PUBLIC LIBRARY SCIENCE
PLoS Genetics, Vol 15, Iss 3, p e1008018 (2019)
PLoS Genetics, Public Library of Science, 2019, 15 (3), pp.e1008018. ⟨10.1371/journal.pgen.1008018⟩
PLoS Genetics, 2019, 15 (3), pp.e1008018. ⟨10.1371/journal.pgen.1008018⟩
PLoS genetics, 15(3):e1008018. PUBLIC LIBRARY SCIENCE
PLoS Genetics, Vol 15, Iss 3, p e1008018 (2019)
PLoS Genetics, Public Library of Science, 2019, 15 (3), pp.e1008018. ⟨10.1371/journal.pgen.1008018⟩
Several bacteria in the gut microbiota have been shown to be associated with inflammatory bowel disease (IBD), and dozens of IBD genetic variants have been identified in genome-wide association studies. However, the role of the microbiota in the etio
Publikováno v:
Genetic Epidemiology
Genetic Epidemiology, Wiley, 2018, 42 (3), pp.250-264. ⟨10.1002/gepi.22113⟩
Genetic Epidemiology, 2018, 42 (3), pp.250-264. ⟨10.1002/gepi.22113⟩
Genetic Epidemiology, Wiley, 2018, 42 (3), pp.250-264. ⟨10.1002/gepi.22113⟩
Genetic Epidemiology, 2018, 42 (3), pp.250-264. ⟨10.1002/gepi.22113⟩
International audience; The identification of gene-environment interactions in relation to risk of human diseases has been challenging. One difficulty has been that measurement error in the exposure can lead to massive reductions in the power of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8d3c99b537e6bda5d03f1728f5d16ee
https://hal-pasteur.archives-ouvertes.fr/pasteur-03278709
https://hal-pasteur.archives-ouvertes.fr/pasteur-03278709