ATOM: a powerful gene-based association test by combining optimally weighted markers
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Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profilesA latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity studyGATES: a rapid and powerful gene-based association test using extended Simes procedureStudying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression.A powerful latent variable method for detecting and characterizing gene-based gene-gene interaction on multiple quantitative traitsProperties of permutation-based gene tests and controlling type 1 error using a summary statistic based gene testSupervised categorical principal component analysis for genome-wide association analyses.Pathway-based analysis using reduced gene subsets in genome-wide association studiesGene-based association identifies SPATA13-AS1 as a pharmacogenomic predictor of inhaled short-acting beta-agonist response in multiple population groups.On the Aggregation of Multimarker Information for Marker-Set and Sequencing Data Analysis: Genotype Collapsing vs. Similarity Collapsing.Gene-based Higher Criticism methods for large-scale exonic single-nucleotide polymorphism data.Genome-wide meta-analysis of myopia and hyperopia provides evidence for replication of 11 loci.Applying genome-wide gene-based expression quantitative trait locus mapping to study population ancestry and pharmacogeneticsThe use of machine learning methodologies to analyse antibiotic and biocide susceptibility in Staphylococcus aureus.Gene-based testing of interactions in association studies of quantitative traitsUsing information interaction to discover epistatic effects in complex diseasesGene-based mapping and pathway analysis of metabolic traits in dairy cows.Genetic association study of circadian genes with seasonal pattern in bipolar disorders.Powerful Tests for Multi-Marker Association Analysis Using Ensemble Learning.A Powerful Procedure for Pathway-Based Meta-analysis Using Summary Statistics Identifies 43 Pathways Associated with Type II Diabetes in European Populations.Regionally Smoothed Meta-Analysis Methods for GWAS Datasets.SBERIA: set-based gene-environment interaction test for rare and common variants in complex diseases.Regional replication of association with refractive error on 15q14 and 15q25 in the Age-Related Eye Disease Study cohort.On multi-marker tests for association in case-control studies.A fast multilocus test with adaptive SNP selection for large-scale genetic-association studiesTSGSIS: A High-dimensional Grouped Variable Selection Approach for Detection of Whole-genome SNP-SNP Interactions.Circadian genes and lithium response in bipolar disorders: associations with PPARGC1A (PGC-1α) and RORA.Gene-based interaction analysis by incorporating external linkage disequilibrium information.Using maximal segmental score in genome-wide association studies.Genetic heterogeneity according to age at onset in bipolar disorder: a combined positional cloning and candidate gene approach.Robust linear regression methods in association studies.On optimal gene-based analysis of genome scans.
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ATOM: a powerful gene-based association test by combining optimally weighted markers
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 15 December 2008
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
ATOM: a powerful gene-based association test by combining optimally weighted markers
@en
ATOM: a powerful gene-based association test by combining optimally weighted markers.
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type
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ATOM: a powerful gene-based association test by combining optimally weighted markers
@en
ATOM: a powerful gene-based association test by combining optimally weighted markers.
@nl
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ATOM: a powerful gene-based association test by combining optimally weighted markers
@en
ATOM: a powerful gene-based association test by combining optimally weighted markers.
@nl
P2093
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ATOM: a powerful gene-based association test by combining optimally weighted markers
@en
P2093
Hakon Hakonarson
Mingyao Li
Struan F A Grant
P2860
P304
P356
10.1093/BIOINFORMATICS/BTN641
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P577
2008-12-15T00:00:00Z