Powerful SNP-set analysis for case-control genome-wide association studies.
about
Genetics of the connectomeRare-variant association analysis: study designs and statistical testsPathway-based analysis tools for complex diseases: a reviewComputational and statistical approaches to analyzing variants identified by exome sequencingCirculating vitamin D, vitamin D-related genetic variation, and risk of fatal prostate cancer in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium.Association between Stress Response Genes and Features of Diurnal Cortisol Curves in the Multi-Ethnic Study of Atherosclerosis: A New Multi-Phenotype Approach for Gene-Based Association TestsA gene-based association method for mapping traits using reference transcriptome dataIntegrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's diseaseA latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity studyA Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction.Studying gene and gene-environment effects of uncommon and common variants on continuous traits: a marker-set approach using gene-trait similarity regression.A statistical method for region-based meta-analysis of genome-wide association studies in genetically diverse populations.SNP set association analysis for familial data.Insights into pancreatic cancer etiology from pathway analysis of genome-wide association study data.A variance component based multi-marker association test using family and unrelated data.Pathway-based analysis using genome-wide association data from a Korean non-small cell lung cancer studyA generalized genetic random field method for the genetic association analysis of sequencing data.Genetic variants in DNA repair pathways and risk of upper aerodigestive tract cancers: combined analysis of data from two genome-wide association studies in European populations.Integrative modeling of multiple genomic data from different types of genetic association studies.JOINT ANALYSIS OF SNP AND GENE EXPRESSION DATA IN GENETIC ASSOCIATION STUDIES OF COMPLEX DISEASES.Kernel methods for large-scale genomic data analysis.Testing genetic association with rare and common variants in family data.Integrative modeling of multi-platform genomic data under the framework of mediation analysis.Global analysis of methylation profiles from high resolution CpG data.Module-based association analysis for omics data with network structure.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 ModelsMultiple kernel learning with random effects for predicting longitudinal outcomes and data integration.Gene-based meta-analysis of genome-wide association study data identifies independent single-nucleotide polymorphisms in ANXA6 as being associated with systemic lupus erythematosus in Asian populations.Object-oriented regression for building predictive models with high dimensional omics data from translational studies.Rare-Variant Kernel Machine Test for Longitudinal Data from Population and Family SamplesDetection for gene-gene co-association via kernel canonical correlation analysis.A powerful and efficient set test for genetic markers that handles confoundersRegion-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.Sequence robust association test for familial data.GEE-based SNP set association test for continuous and discrete traits in family-based association studiesJoint genetic analysis using variant sets reveals polygenic gene-context interactions.Association of the PPAR-γ Gene with Altered Glucose Levels and Psychosis Profile in Schizophrenia Patients Exposed to Antipsychotics.
P2860
Q24289409-DFA48DB0-8499-43E5-8C50-010A70AF8258Q26852733-BE5C1D98-A7F2-4FE2-BE2F-F88BCFFDA149Q27015706-34DE6F76-3D49-4D24-92B0-CFA1C9C95F1BQ27024342-73FD35B5-ED3D-4094-91B5-6B3AA63CED48Q27336054-53E8F327-4ED5-4526-832D-F87BD91009D6Q28394593-A499B2A3-4F37-47CB-A4B8-651039DAF216Q28608356-F461515A-A210-4586-96FF-2C54F0C946B1Q28677042-EEFA2070-94F7-491B-9911-AB81E7B3630CQ28731708-626B8074-C60C-4C48-B602-69D8469E6FA7Q30279068-E8653AA8-50CB-46FD-BFFF-9EDB283836FAQ30428383-A53D9D8C-2412-4E80-A700-08628ACCD4F9Q30511184-CD2D5D89-9AEC-4669-BE22-6A381865FD5FQ30564362-951F25ED-ED13-4205-94AC-E5DAFDB1EDDCQ30573020-CC0B2FC9-AE2F-48FD-96FE-087764153C85Q30599570-D1D58332-A897-42CF-BAB3-EF29DB0914C2Q30647266-9B1492B3-6B34-41CA-AFB9-81A6B44799D5Q30746271-84658437-357A-4649-81D0-5485F8771742Q30783749-AD82EDFB-4885-480A-84AF-5818EBEEF442Q30794527-92A4881F-39BA-482D-9976-483F8BB3FB65Q30800044-81B5D38C-5642-44A2-8967-618002D83556Q30838088-22F59680-17BF-4E17-A26E-101D8C49C1C3Q30841941-B5FF23B7-9BA9-4D26-9783-145497793AF7Q30860315-632E6B42-8E4D-474B-8A2D-BC51553D07B7Q30881763-C94620E9-12C2-47CC-B0FA-CD36B6D16C72Q30919427-B4C1C75C-50E0-4B14-9312-F871098494FEQ30935991-AF835BA6-FD38-4F73-BD26-A0BAC245F237Q30956245-52346836-69C6-470A-9856-3E5D52BE9F5CQ30976711-5CCE8862-56D7-45BB-9CF3-87AAF125339FQ30980714-2BD383B9-C5A1-46CA-87DB-C33ED15DC9E1Q30982128-6D3DC4F9-4F12-4BED-8AFD-2D11C0849FF8Q31057710-B3D826F5-10AD-4416-AFB0-BE82E3E69143Q31094385-B7BCBC04-E16B-4ADE-862D-73EC7D9F9CA3Q31102463-4E001AE1-010B-449F-AA43-B14080238D62Q31115587-7534E128-D84E-4800-BEAC-32FD2405215EQ31120147-2445B21F-2285-4E62-887C-A50DCECFC6BDQ31148631-DA6EFA55-6B6F-4B46-84FD-E8E032059106Q31172609-E5D3171E-0ECD-43BE-B0E7-24D936E6E4ADQ33556485-4B23925E-0CBD-4BBB-A52C-751AF95D9432Q33584485-44457B41-C7EE-4DD6-B271-8437B23BB462Q33620389-4584EC0A-D6AA-41E6-93E1-6B97C8F9FD3A
P2860
Powerful SNP-set analysis for case-control genome-wide association studies.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Powerful SNP-set analysis for case-control genome-wide association studies.
@ast
Powerful SNP-set analysis for case-control genome-wide association studies.
@en
Powerful SNP-set analysis for case-control genome-wide association studies.
@nl
type
label
Powerful SNP-set analysis for case-control genome-wide association studies.
@ast
Powerful SNP-set analysis for case-control genome-wide association studies.
@en
Powerful SNP-set analysis for case-control genome-wide association studies.
@nl
prefLabel
Powerful SNP-set analysis for case-control genome-wide association studies.
@ast
Powerful SNP-set analysis for case-control genome-wide association studies.
@en
Powerful SNP-set analysis for case-control genome-wide association studies.
@nl
P2860
P50
P1476
Powerful SNP-set analysis for case-control genome-wide association studies.
@en
P2093
Michael P Epstein
Xihong Lin
P2860
P304
P356
10.1016/J.AJHG.2010.05.002
P407
P577
2010-06-01T00:00:00Z