Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models.
about
A Large-scale genetic association study of esophageal adenocarcinoma riskPathway-based analysis tools for complex diseases: a reviewCirculating vitamin D, vitamin D-related genetic variation, and risk of fatal prostate cancer in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium.Expanding the scope of risk assessment: methods of studying differential vulnerability and susceptibilityA Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction.SNP set association analysis for familial data.Kernel methods for large-scale genomic data analysis.Testing genetic association with rare and common variants in family data.Global analysis of methylation profiles from high resolution CpG data.Kernel approaches for differential expression analysis of mass spectrometry-based metabolomics data.iGWAS: Integrative Genome-Wide Association Studies of Genetic and Genomic Data for Disease Susceptibility Using Mediation Analysis.Region-Based Association Test for Familial Data under Functional Linear ModelsMethodological Considerations in Estimation of Phenotype Heritability Using Genome-Wide SNP Data, Illustrated by an Analysis of the Heritability of Height in a Large Sample of African Ancestry Adults.Optimal tests for rare variant effects in sequencing association studies.Region-based association analysis of human quantitative traits in related individuals.Identification of Risk Pathways and Functional Modules for Coronary Artery Disease Based on Genome-wide SNP Data.A network-based kernel machine test for the identification of risk pathways in genome-wide association studiesSequence variants in the TLR4 and TLR6-1-10 genes and prostate cancer risk. Results based on pooled analysis from three independent studiesIntegrated genomic analysis of biological gene sets with applications in lung cancer prognosisRare-variant association testing for sequencing data with the sequence kernel association test.A powerful and adaptive association test for rare variantsSNP set analysis for detecting disease association using exon sequence dataCollapsing-based and kernel-based single-gene analyses applied to Genetic Analysis Workshop 17 mini-exome dataFunctional linear models for association analysis of quantitative traits.Identifying genetic marker sets associated with phenotypes via an efficient adaptive score test.Association test based on SNP set: logistic kernel machine based test vs. principal component analysisGreater power and computational efficiency for kernel-based association testing of sets of genetic variants.Incorporating auxiliary information for improved prediction using combination of kernel machinesPowerful SNP-set analysis for case-control genome-wide association studies.Gene set analysis using variance component testsWeighted SNP set analysis in genome-wide association study.Using random walks to identify cancer-associated modules in expression dataComplete effect-profile assessment in association studies with multiple genetic and multiple environmental factors.Relationship between genomic distance-based regression and kernel machine regression for multi-marker association testing.Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machinesRare variants detection with kernel machine learning based on likelihood ratio test.FFBSKAT: fast family-based sequence kernel association testKernel machine approach to testing the significance of multiple genetic markers for risk prediction.An efficient weighted tag SNP-set analytical method in genome-wide association studies.A robust GWSS method to simultaneously detect rare and common variants for complex disease.
P2860
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P2860
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Estimation and testing for the ...... ion via logistic mixed models.
@ast
Estimation and testing for the ...... ion via logistic mixed models.
@en
type
label
Estimation and testing for the ...... ion via logistic mixed models.
@ast
Estimation and testing for the ...... ion via logistic mixed models.
@en
prefLabel
Estimation and testing for the ...... ion via logistic mixed models.
@ast
Estimation and testing for the ...... ion via logistic mixed models.
@en
P2093
P2860
P356
P1433
P1476
Estimation and testing for the ...... ion via logistic mixed models.
@en
P2093
Debashis Ghosh
Xihong Lin
P2860
P2888
P356
10.1186/1471-2105-9-292
P577
2008-06-24T00:00:00Z
P5875
P6179
1013731750