Validation of candidate causal genes for obesity that affect shared metabolic pathways and networks.
about
A human B-cell interactome identifies MYB and FOXM1 as master regulators of proliferation in germinal centersComputational Models for Transplant Biomarker DiscoveryObesity genetics in mouse and human: back and forth, and back againOxidative stress in obesity: a critical component in human diseasesCharacterizing dynamic changes in the human blood transcriptional networkGenomic and metabolic responses to methionine-restricted and methionine-restricted, cysteine-supplemented diets in Fischer 344 rat inguinal adipose tissue, liver and quadriceps musclePoor ability to resist tempting calorie rich food is linked to altered balance between neural systems involved in urge and self-controlIntegrating human omics data to prioritize candidate genesLeveraging models of cell regulation and GWAS data in integrative network-based association studiesApplications of translational bioinformatics in transplantationPanx3 links body mass index and tumorigenesis in a genetically heterogeneous mouse model of carcinogen-induced cancerLACTB is a tumour suppressor that modulates lipid metabolism and cell state.Network Analysis Implicates Alpha-Synuclein (Snca) in the Regulation of Ovariectomy-Induced Bone LossBicc1 is a genetic determinant of osteoblastogenesis and bone mineral density.Future of osteoporosis genetics: enhancing genome-wide association studiesCR1 and the "vanishing amyloid" hypothesis of Alzheimer's disease.An integration of genome-wide association study and gene expression profiling to prioritize the discovery of novel susceptibility Loci for osteoporosis-related traits.The systems genetics resource: a web application to mine global data for complex disease traits.Gene bionetworks involved in the epigenetic transgenerational inheritance of altered mate preference: environmental epigenetics and evolutionary biology.Modular network construction using eQTL data: an analysis of computational costs and benefits.Biomarkers for combat-related PTSD: focus on molecular networks from high-dimensional data.Integrative analysis of DNA methylation and gene expression data identifies EPAS1 as a key regulator of COPD.Bayesian network reconstruction using systems genetics data: comparison of MCMC methodsMouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive controlTowards finding the linkage between metabolic and age-related disorders using semantic gene data network analysisConstructing Bayesian networks by integrating gene expression and copy number data identifies NLGN4Y as a novel regulator of prostate cancer progression.Liver and adipose expression associated SNPs are enriched for association to type 2 diabetesUpstream transcription factor 1 influences plasma lipid and metabolic traits in miceMulti-omics approaches to disease.The pathogenesis of obesity from a genomic and systems biology perspective.Blueprint for antimicrobial hit discovery targeting metabolic networksSalt-inducible kinases 1 and 3 negatively regulate Toll-like receptor 4-mediated signalGenome-wide association study for feed efficiency and growth traits in U.S. beef cattleCardiovascular networks: systems-based approaches to cardiovascular diseaseTowards a molecular systems model of coronary artery diseaseIntegrated genomics of susceptibility to alkylator-induced leukemia in miceCo-regulatory expression quantitative trait loci mapping: method and application to endometrial cancer.Traumatic Brain Injury Induces Genome-Wide Transcriptomic, Methylomic, and Network Perturbations in Brain and Blood Predicting Neurological Disorders.QTL mapping in outbred populations: successes and challenges.Power to the people: participant ownership of clinical trial data.
P2860
Q24318306-EE1C2020-30A6-4106-985E-C67C14FA2F1CQ26781320-8FA38F00-72CC-4B53-805A-3F1D8195AEBAQ26782027-2074C9CA-7431-48D0-964F-0FABC835263EQ28082703-5131D1CF-5BB3-48FA-8B2F-56A5A7C16F33Q28472852-DDD20837-6BCD-478A-9ACC-9C6A5FC96380Q28567664-8FD4AA44-9049-4509-9022-5B4300082410Q28655546-6F2B1BE6-382E-420F-A966-6BE88EE67E2DQ28660898-E670270A-7B93-431E-A344-EA868BAFDC83Q28704307-FC37731D-1AE2-4136-B240-052A2371FBFCQ28716539-778F70B1-3C2C-4CA6-A8A8-9EF32A54A28CQ28831003-F6DF1331-20EB-4EBC-ADEA-59D3CF4EB5B8Q29871523-96D45113-9E0E-4CB5-8726-31FA5A84E463Q30276423-609D579C-DF88-4061-B2AE-A4635713FD83Q30412670-B07A8C5E-6280-4137-A600-10DD09B3A46CQ30419974-48196FDC-0428-4AB6-8938-0EF1E0BFA2E3Q30421877-CA2CEFE2-0146-4185-BD79-5AE41073B229Q30435869-DBB62F02-A103-4C7D-B6A6-75C2C048615DQ30486172-8EEAC429-64E6-4E1F-9B87-C402E7A66E77Q30581854-1D1F0527-1FE1-46A9-9A2B-85FD35828CF9Q30774984-C301476A-A38B-469E-8C4A-B37CA2E03EB5Q30849692-58CE956C-E52B-43D6-8B5C-6FDA99C4C89AQ30883307-9F6EA3C8-FB9D-4BC8-8BDD-AFAF222B654BQ30886532-ABF8136B-6224-46A7-A34C-BC5F356F7670Q31053791-E68F2C3B-AD34-4FFC-9EE3-9CEA8E62C008Q31099591-2460BF5A-58EF-4BA2-8B83-8752E10E7645Q31130674-BA207C9C-9893-4238-ACF5-67F32FECB02FQ33576732-ABAFC236-1319-4CF6-8044-5267201E1413Q33594216-059CED1A-CD78-4D60-88F9-111D51785B9FQ33640903-B9680C0E-8957-45DC-BF03-09C2274C8B2DQ33653070-0DA68D51-0E9B-4A68-B9F2-F0F8364C2573Q33667030-51904B4F-F5B4-4D8E-8902-1F58981A4C93Q33668952-3AF4EEA9-A82E-4D38-A1D1-C230E9AA0C09Q33706506-7CB75CB9-BB23-44B5-8F60-BB14DAECBC56Q33717801-DDD0BDC7-E2C4-4343-B89A-14D717AFE5ABQ33729494-A673FCCC-F43F-402C-B16E-68E18E72E5F8Q33748270-FE920635-30E2-4935-9A7F-8A0CC5856588Q33791354-DFFCEE29-8498-4227-906A-6681AB95E2D5Q33809775-6C8BB5C9-FFC6-4AB8-B330-B0CA7BB3D565Q33816498-5AABB2D8-3BD4-46F0-A28F-A87ADCE87088Q33816620-FDDF82A3-6989-4F53-AF2D-F129F4968894
P2860
Validation of candidate causal genes for obesity that affect shared metabolic pathways and networks.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մարտին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Validation of candidate causal ...... tabolic pathways and networks.
@ast
Validation of candidate causal ...... tabolic pathways and networks.
@en
type
label
Validation of candidate causal ...... tabolic pathways and networks.
@ast
Validation of candidate causal ...... tabolic pathways and networks.
@en
prefLabel
Validation of candidate causal ...... tabolic pathways and networks.
@ast
Validation of candidate causal ...... tabolic pathways and networks.
@en
P2093
P2860
P50
P356
P1433
P1476
Validation of candidate causal ...... tabolic pathways and networks.
@en
P2093
Anatole Ghazalpour
Atila van Nas
Brie Falkard
Chunsheng Zhang
Daria Estrada-Smith
Douglas J Macneil
Eric E Schadt
Gevork Torosyan
Hongxiu Qi
P2860
P2888
P304
P356
10.1038/NG.325
P407
P577
2009-03-08T00:00:00Z