Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseases
about
In silico gene prioritization by integrating multiple data sourcesEpistasis--the essential role of gene interactions in the structure and evolution of genetic systemsA survey about methods dedicated to epistasis detectionHierarchical modularity and the evolution of genetic interactomes across species.A new methodology to associate SNPs with human diseases according to their pathway related contextHuman GRK4γ142V Variant Promotes Angiotensin II Type I Receptor-Mediated Hypertension via Renal Histone Deacetylase Type 1 Inhibition.Genetic regulation of Nrxn1 [corrected] expression: an integrative cross-species analysis of schizophrenia candidate genesHow the serotonin story is being rewritten by new gene-based discoveries principally related to SLC6A4, the serotonin transporter gene, which functions to influence all cellular serotonin systems.Epistatic interactions in genetic regulation of t-PA and PAI-1 levels in a Ghanaian population.Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network.Prioritizing hypothesis tests for high throughput data.Disease candidate gene identification and prioritization using protein interaction networksFailure to replicate a genetic association may provide important clues about genetic architectureAn omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies.Prioritizing GWAS results: A review of statistical methods and recommendations for their application.Bioinformatics challenges for genome-wide association studies.Genetic interactions found between calcium channel genes modulate amyloid load measured by positron emission tomography.Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseasesAnalysis of gene-gene interactions.Meta-analysis of heterogeneous data sources for genome-scale identification of risk genes in complex phenotypes.Genetic analysis of an allergic rhinitis cohort reveals an intercellular epistasis between FAM134B and CD39.A network-based approach to prioritize results from genome-wide association studies.Identification of epistatic effects using a protein-protein interaction database.Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations.A knowledge-based method for association studies on complex diseaseseQTL Epistasis - Challenges and Computational Approaches.Using biological knowledge to uncover the mystery in the search for epistasis in genome-wide association studiesTranslational disease interpretation with molecular networks.Investigating the Role of Gene-Gene Interactions in TB Susceptibility.Integration of biological networks and pathways with genetic association studies.Genetic variants and their interactions in disease risk prediction - machine learning and network perspectivesPPE38 of Mycobacterium marinum triggers the cross-talk of multiple pathways involved in the host response, as revealed by subcellular quantitative proteomics.Converging Evidence for Epistasis between ANK3 and Potassium Channel Gene KCNQ2 in Bipolar DisorderInterpreting noncoding genetic variation in complex traits and human disease.Using prior knowledge and genome-wide association to identify pathways involved in multiple sclerosisEpistasis and its implications for personal genetics.Layers of epistasis: genome-wide regulatory networks and network approaches to genome-wide association studies.Role of epigenetics in Alzheimer's and Parkinson's disease.Genome-wide association studies for the identification of biomarkers in metabolic diseases.An overview of the neurobiology of suicidal behaviors as one meta-system.
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Exploiting the proteome to improve the genome-wide genetic analysis of epistasis in common human diseases
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 13 June 2008
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Exploiting the proteome to imp ...... tasis in common human diseases
@en
Exploiting the proteome to imp ...... asis in common human diseases.
@nl
type
label
Exploiting the proteome to imp ...... tasis in common human diseases
@en
Exploiting the proteome to imp ...... asis in common human diseases.
@nl
prefLabel
Exploiting the proteome to imp ...... tasis in common human diseases
@en
Exploiting the proteome to imp ...... asis in common human diseases.
@nl
P2860
P1433
P1476
Exploiting the proteome to imp ...... tasis in common human diseases
@en
P2093
Kristine A Pattin
P2860
P2888
P356
10.1007/S00439-008-0522-8
P577
2008-06-13T00:00:00Z