Using biological knowledge to uncover the mystery in the search for epistasis in genome-wide association studies
about
Genetic screening for the risk of type 2 diabetes: worthless or valuable?Epistasis and immunity: the role of genetic interactions in autoimmune diseasesViral quasispecies evolutionGWIS--model-free, fast and exhaustive search for epistatic interactions in case-control GWAS.A yeast phenomic model for the gene interaction network modulating CFTR-ΔF508 protein biogenesis.Gene, pathway and network frameworks to identify epistatic interactions of single nucleotide polymorphisms derived from GWAS data.PHENOME-WIDE INTERACTION STUDY (PheWIS) IN AIDS CLINICAL TRIALS GROUP DATA (ACTG).An omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies.Grid-based stochastic search for hierarchical gene-gene interactions in population-based genetic studies of common human diseasesGenetic analysis of an allergic rhinitis cohort reveals an intercellular epistasis between FAM134B and CD39.Systems biology data analysis methodology in pharmacogenomics.Integrating heterogeneous high-throughput data for meta-dimensional pharmacogenomics and disease-related studiesdbPTB: a database for preterm birth.Network biology methods integrating biological data for translational scienceAdrenergic alpha-1 pathway is associated with hypertension among Nigerians in a pathway-focused analysis.Use of pleiotropy to model genetic interactions in a population.Identifying genetic interactions associated with late-onset Alzheimer's disease.Multiple associated variants increase the heritability explained for plasma lipids and coronary artery disease.Analysis of multiple association studies provides evidence of an expression QTL hub in gene-gene interaction network affecting HDL cholesterol levels.Pathway-guided identification of gene-gene interactionsBiology-Driven Gene-Gene Interaction Analysis of Age-Related Cataract in the eMERGE Network.Epistatic Gene-Based Interaction Analyses for Glaucoma in eMERGE and NEIGHBOR Consortium.Multilocus approaches for the measurement of selection on correlated genetic loci.Personalized medicine - where do we stand? Pouring some water into wine: a realistic perspectiveReverse Pathway Genetic Approach Identifies Epistasis in Autism Spectrum Disorders.Methods to analyze big data in pharmacogenomics research.Type 2 Diabetes Genetics: Beyond GWAS.Inferring gene function and network organization in Drosophila signaling by combined analysis of pleiotropy and epistasis.Systems genetics in "-omics" era: current and future development.Multifactor dimensionality reduction as a filter-based approach for genome wide association studies.A random forest approach to capture genetic effects in the presence of population structure.Polymorphisms in genes of the renin-angiotensin-aldosterone system and renal cell cancer risk: interplay with hypertension and intakes of sodium, potassium and fluid.The search for gene-gene interactions in genome-wide association studies: challenges in abundance of methods, practical considerations, and biological interpretation.Evolutionary footprint of epistasisThe Formation of a Neural Fear Network in Posttraumatic Stress Disorder
P2860
Q26829897-751028D1-6952-44EF-8637-D73301322945Q27010680-097A4E7E-91BB-45BF-AC29-9614D2068871Q27013917-AC8E39CE-F119-4005-8C6A-1BF666CE11F4Q27496611-F9B59A09-C626-4E6F-8D88-B62520024976Q27931694-001F342A-A66C-4F00-8429-875534894BCCQ30584016-4CB2A06C-0D74-4C58-8445-08253D950630Q31037300-BE0D8075-D565-40D1-AEA2-1C4A9DBBE933Q33552149-DB721FBB-AAF2-492D-BBD3-778352B57929Q33743754-605E6311-C897-4C06-A647-8BF5AD10D8C3Q33889692-25EDA55F-A128-43A8-9C7E-2EDC44B9FA67Q34020047-8CC5764D-1EA8-4C75-AE79-0577DF9156D6Q34132233-5C3AE818-ABA3-4C7E-9177-E99D185415C8Q34155810-B6EDC722-82A3-4601-BEE7-E77BE246B374Q34185002-460325C4-2D72-4C6A-949C-99C1A63E3005Q34277798-7E10BA94-2DFE-476E-88D1-6916E096F0A5Q34446684-CD649E3C-AAB2-460C-A59F-BDF99AEC5261Q34989308-776971BA-0C5D-4B8F-BABE-97CD71F74C18Q35124567-491EB22C-01C1-40A5-8A1F-5BD254FDACE0Q35126294-CEE6BD8E-04E4-4CD4-ADAB-9B43F358D787Q35187163-E5CAD8F6-B793-44AC-8BEC-4287D9F1EFF9Q35997343-2D26B96F-384F-4899-8294-915F2AAA30B4Q36131514-8F28B753-6961-4B2B-8D98-67A0730E93BEQ36151738-41665CBD-F3A8-4F08-B12C-C49F6FD13D85Q36193093-DF79CDCB-73EC-4BB6-AB6A-AC54F2DABF55Q36246158-E4757A6B-C756-4E4F-BB78-F21055800CB0Q36404935-CDDC05EE-8B08-4588-9CCD-6025BE1B63BBQ36464788-84B8FD92-D225-440B-B45C-242956CAC57FQ36851614-D7C771F9-3DD3-46B9-A44C-6F8EFC5DAE62Q38058727-E6D06524-42F1-480E-AA07-1500DD75A3E6Q40740062-51718369-0E0F-43A3-9367-7B12F16094BCQ40799459-75FAE824-F2D1-4201-8A59-5C176B82DF7BQ50652059-41D191D2-5717-4CA1-9D2B-13B6CE71C360Q55015170-91FA3366-252D-43D8-B048-F0241A595F3CQ58728935-B6D401E2-1B90-42F6-8763-4682F04A56B8Q59166447-551E399C-BBA0-4783-82A9-468F7AD8B67D
P2860
Using biological knowledge to uncover the mystery in the search for epistasis in genome-wide association studies
description
2011 nî lūn-bûn
@nan
2011 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Using biological knowledge to ...... enome-wide association studies
@ast
Using biological knowledge to ...... enome-wide association studies
@en
Using biological knowledge to ...... enome-wide association studies
@nl
type
label
Using biological knowledge to ...... enome-wide association studies
@ast
Using biological knowledge to ...... enome-wide association studies
@en
Using biological knowledge to ...... enome-wide association studies
@nl
prefLabel
Using biological knowledge to ...... enome-wide association studies
@ast
Using biological knowledge to ...... enome-wide association studies
@en
Using biological knowledge to ...... enome-wide association studies
@nl
P2860
P1476
Using biological knowledge to ...... enome-wide association studies
@en
P2860
P304
P356
10.1111/J.1469-1809.2010.00630.X
P407
P577
2011-01-01T00:00:00Z