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JASS – Joint Analysis of (GWAS) Summary Statistics
Hugues Aschard (PI)
JASS is a python package that handles the computation of the joint statistics over sets of selected GWAS results, and the interactive exploration of the results through a web interface. The generation of joint […]
2019Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids, Nat. Genet. 2019 Apr;51(4):636-648.
2019Genetic effects on the commensal microbiota in inflammatory bowel disease patients, PLoS Genet. 2019 03;15(3):e1008018.
2019Efficient Implementation of Penalized Regression for Genetic Risk Prediction, Genetics 2019 Feb;.
2019Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions, Am. J. Epidemiol. 2019 Jan;.
2019Adjusting for Principal Components of Molecular Phenotypes Induces Replicating False Positives, Genetics 2019 Jan;.
2019Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity, Nat Commun 2019 01;10(1):376.
2018Joint Analysis of Multiple Interaction Parameters in Genetic Association Studies, Genetics 2019 02;211(2):483-494.
2018Exploring the genetic basis of human population differences in DNA methylation and their causal impact on immune gene regulation, Genome Biol. 2018 12;19(1):222.
2018VarExp: estimating variance explained by genome-wide GxE summary statistics, Bioinformatics 2018 Oct;34(19):3412-3414.
2018Efficient analysis of large-scale genome-wide data with two R packages: bigstatsr and bigsnpr, Bioinformatics 2018 Aug;34(16):2781-2787.
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