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Hugues Aschard

Showing results (11-20 of 123) with videos related to

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HGG Advances|September 15, 2022
Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scoresFlorian Privé, Julyan Arbel, Hugues Aschard, et al.
Genetic Epidemiology|February 10, 2018
A test for gene-environment interaction in the presence of measurement error in the environmental variableHugues Aschard, Donna Spiegelman, Vincent Laville, et al.
Genetics|January 30, 2019
Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False PositivesAndy Dahl, Vincent Guillemot, Joel Mefford, et al.
Human Heredity|February 5, 2011
Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effectsHugues Aschard, Dana B Hancock, Stephanie J London, et al.
BMC Genomics|April 16, 2024
Multi-trait GWAS for diverse ancestries: mapping the knowledge gapLucie Troubat, Deniz Fettahoglu, Léo Henches, et al.
Bioinformatics (Oxford, England)|April 5, 2018
Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnprFlorian Privé, Hugues Aschard, Andrey Ziyatdinov, et al.
American Journal of Human Genetics|November 26, 2019
Making the Most of Clumping and Thresholding for Polygenic ScoresFlorian Privé, Bjarni J Vilhjálmsson, Hugues Aschard, et al.
Genetic Epidemiology|March 21, 2013
A nonparametric test to detect quantitative trait loci where the phenotypic distribution differs by genotypesHugues Aschard, Noah Zaitlen, Rulla M Tamimi, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2023
Quantile Regression for biomarkers in the UK BiobankChen Wang, Tianying Wang, Ying Wei, et al.
Genetic Epidemiology|December 1, 2011
Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17Nathan Tintle, Hugues Aschard, Inchi Hu, et al.
Pageof 13

Showing results (11-20 of 123) with videos related to

Sort By:
Pageof 13
HGG Advances|September 15, 2022
Identifying and correcting for misspecifications in GWAS summary statistics and polygenic scoresFlorian Privé, Julyan Arbel, Hugues Aschard, et al.
Genetic Epidemiology|February 10, 2018
A test for gene-environment interaction in the presence of measurement error in the environmental variableHugues Aschard, Donna Spiegelman, Vincent Laville, et al.
Genetics|January 30, 2019
Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False PositivesAndy Dahl, Vincent Guillemot, Joel Mefford, et al.
Human Heredity|February 5, 2011
Genome-wide meta-analysis of joint tests for genetic and gene-environment interaction effectsHugues Aschard, Dana B Hancock, Stephanie J London, et al.
BMC Genomics|April 16, 2024
Multi-trait GWAS for diverse ancestries: mapping the knowledge gapLucie Troubat, Deniz Fettahoglu, Léo Henches, et al.
Bioinformatics (Oxford, England)|April 5, 2018
Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnprFlorian Privé, Hugues Aschard, Andrey Ziyatdinov, et al.
American Journal of Human Genetics|November 26, 2019
Making the Most of Clumping and Thresholding for Polygenic ScoresFlorian Privé, Bjarni J Vilhjálmsson, Hugues Aschard, et al.
Genetic Epidemiology|March 21, 2013
A nonparametric test to detect quantitative trait loci where the phenotypic distribution differs by genotypesHugues Aschard, Noah Zaitlen, Rulla M Tamimi, et al.
Biorxiv : the Preprint Server for Biology|June 19, 2023
Quantile Regression for biomarkers in the UK BiobankChen Wang, Tianying Wang, Ying Wei, et al.
Genetic Epidemiology|December 1, 2011
Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17Nathan Tintle, Hugues Aschard, Inchi Hu, et al.
Pageof 13