Pathway analysis of seven common diseases assessed by genome-wide association.
about
Revealing the genetic basis of multiple sclerosis: are we there yet?Application of computational methods in genetic study of inflammatory bowel diseaseKnowledge-based analysis of genetic associations of rheumatoid arthritis to inform studies searching for pleiotropic genes: a literature review and network analysisAnnotating individual human genomesPeriodontal disease immunology: 'double indemnity' in protecting the hostA genome-wide association study of hypertension and blood pressure in African AmericansA new methodology to associate SNPs with human diseases according to their pathway related contextThe identification of pathway markers in intracranial aneurysm using genome-wide association data from two different populationsGenetics and epigenetics of rheumatoid arthritisLarge scale analysis of phenotype-pathway relationships based on GWAS resultsIdentification of pathways for bipolar disorder: a meta-analysisJAG: A Computational Tool to Evaluate the Role of Gene-Sets in Complex TraitsNetwork models of genome-wide association studies uncover the topological centrality of protein interactions in complex diseasesIntegrated 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 diseaseLaboratory mouse models for the human genome-wide associationsGenome-wide association of bipolar disorder suggests an enrichment of replicable associations in regions near genesGenetic variation influences glutamate concentrations in brains of patients with multiple sclerosisOverrepresentation of glutamate signaling in Alzheimer's disease: network-based pathway enrichment using meta-analysis of genome-wide association studies.Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations.Mitochondrial DNA sequence variation is associated with free-living activity energy expenditure in the elderlySystems-level analysis of genome-wide association dataA statistical method for region-based meta-analysis of genome-wide association studies in genetically diverse populations.Gene, region and pathway level analyses in whole-genome studiesNon-homologous end-joining pathway associated with occurrence of myocardial infarction: gene set analysis of genome-wide association study data.Network-based multiple sclerosis pathway analysis with GWAS data from 15,000 cases and 30,000 controls.Pathway analysis using genome-wide association study data for coronary restenosis--a potential role for the PARVB gene.Integrative Pathway Analysis Using Graph-Based Learning with Applications to TCGA Colon and Ovarian DataMeta-analysis based variable selection for gene expression data.Identification of possible pathogenic pathways in Behçet's disease using genome-wide association study data from two different populationsPathway analysis of GWAS provides new insights into genetic susceptibility to 3 inflammatory diseases.Systematic testing of literature reported genetic variation associated with coronary restenosis: results of the GENDER Study.Predicting disease risk using bootstrap ranking and classification algorithms.Identification of Risk Pathways and Functional Modules for Coronary Artery Disease Based on Genome-wide SNP Data.A new permutation strategy of pathway-based approach for genome-wide association studyAutoimmune disease classification by inverse association with SNP alleles.Prioritizing GWAS results: A review of statistical methods and recommendations for their application.sdef: an R package to synthesize lists of significant features in related experimentsPathway analysis comparison using Crohn's disease genome wide association studies.Laying a solid foundation for Manhattan--'setting the functional basis for the post-GWAS era'.Functional gene group analysis reveals a role of synaptic heterotrimeric G proteins in cognitive ability.
P2860
Q22252206-472624B7-B380-43BB-BA35-D7257D3D9825Q26774595-8CF57237-7CDF-4903-ACBE-E974B17DC5B4Q26801048-5ED65BA9-164E-4860-8F80-D2DF3080EAD3Q26999723-53447615-25D7-44F9-8AA2-22D0D3139230Q27025438-D62D42E0-AE88-4344-87FD-2021EFA603BBQ28475715-368A7EBF-471D-4BB7-B8E5-95D486229517Q28477617-DE0249A4-2740-4CEA-B2EC-8EFD2F505130Q28487706-A94C8139-2EB4-493C-81DF-26AA8E80C3D9Q28534348-4978AD59-0637-49F0-B487-F309089938DFQ28540586-7DA60275-1341-432B-9063-4F397498403FQ28645726-CFA24AB8-025F-4AC0-8091-E4C09A066198Q28647685-538AF0EF-AD84-484A-B40A-8C1B825951CBQ28674016-BCE54EAD-844B-4038-9E43-BA21082D59FAQ28677042-7D412597-3132-47E4-90ED-C4C6A5C6E61AQ28748647-7D55EEE3-83A0-480F-B9C8-DC99809EECB3Q28943290-217A35C1-2A84-449D-8786-B5C6F69F4888Q28943414-47FBDD64-E4A8-41C1-B48F-E071701C89EEQ29417035-9281EA49-CF3B-471B-879D-5EFC1643ADFEQ30252415-5E5C92E7-60DE-4E7A-8FC9-1490D5FA8A9EQ30417487-066905D4-D2E6-458A-B4DC-B077A99440AFQ30422887-55421A71-C79A-4F49-8448-4C69C7032987Q30511184-2C2D45ED-8516-4DD7-907F-B7D7EAE37A17Q30580981-4582A8F8-D693-4FBB-AE82-E38C744BD39BQ30596587-9C2DA9EA-E4D5-4DCD-8A4B-F55F57E62EECQ30639610-96CFDF2D-5E2B-4305-90C6-7DF88C63B3EDQ30661818-33F04628-9C36-40BD-A337-CDA68FD30A05Q30842944-4BCECC56-9199-444B-9ABC-477617B99277Q30848071-B85FAC90-F4E7-48F7-9D01-F08905F108A4Q30852088-77C2652F-42A4-4AA4-A51E-6FB06F7A03BBQ30943588-EF8A5DC0-3F4A-4776-B876-A4EA814708C4Q31082897-1B93A7F0-CED0-4FB9-9376-81A832CA6A7FQ31129426-5259ACA4-B8C1-4830-9D67-BDCD78017706Q31148631-EC5EC22E-54C7-4821-963B-2ACC0D4B5D87Q33519694-BA4A2A99-02DE-4CB8-8273-A45FBDE1F1B5Q33521311-34E43B83-2484-4292-A2E2-50F93A64F699Q33571786-6EBC3F5D-E79F-4A37-8AF7-C7BE6B7BC88BQ33582765-BD587988-CAF3-4344-8C01-FC6EC983B561Q33618524-6C4F25FA-A20D-48FE-8D7D-F1BD11E3C9F5Q33631309-74253A64-6F86-47BF-AC1B-735F6D9960D2Q33645949-CBFD722C-0810-4615-93A6-AED999A8C6BE
P2860
Pathway analysis of seven common diseases assessed by genome-wide association.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 16 September 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Pathway analysis of seven common diseases assessed by genome-wide association.
@en
Pathway analysis of seven common diseases assessed by genome-wide association.
@nl
type
label
Pathway analysis of seven common diseases assessed by genome-wide association.
@en
Pathway analysis of seven common diseases assessed by genome-wide association.
@nl
prefLabel
Pathway analysis of seven common diseases assessed by genome-wide association.
@en
Pathway analysis of seven common diseases assessed by genome-wide association.
@nl
P2860
P1433
P1476
Pathway analysis of seven common diseases assessed by genome-wide association.
@en
P2093
Ali Torkamani
P2860
P304
P356
10.1016/J.YGENO.2008.07.011
P577
2008-09-16T00:00:00Z