Predicting white matter integrity from multiple common genetic variants.
about
Genetics of the connectomeThe ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic dataNeuroimaging and genetic risk for Alzheimer's disease and addiction-related degenerative brain disorders.A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: replication in elderly and young populationsRecent advances in imaging Alzheimer's disease.Improved DTI registration allows voxel-based analysis that outperforms tract-based spatial statistics.Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructureGenetic underpinnings of white matter 'connectivity': heritability, risk, and heterogeneity in schizophrenia.Obesity gene NEGR1 associated with white matter integrity in healthy young adultsA neurogenetics approach to defining differential susceptibility to institutional careDifferential contributions of dorso-ventral and rostro-caudal prefrontal white matter tracts to cognitive control in healthy older adults.Heritability and genetic association analysis of neuroimaging measures in the Diabetes Heart StudyReprint of: Mapping connectivity in the developing brain.Altered structural brain connectivity in healthy carriers of the autism risk gene, CNTNAP2.How a common variant in the growth factor receptor gene, NTRK1, affects white matter.Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: a pilot project of the ENIGMA-DTI working group.Relation between variants in the neurotrophin receptor gene, NTRK3, and white matter integrity in healthy young adults.Mechanisms of sporadic cerebral small vessel disease: insights from neuroimaging.Agenesis of the corpus callosum: classifying functional manifestations with the ICF-CY.Applying imaging genetics to ADHD: the promises and the challenges.Reduced Cerebral White Matter Integrity Assessed by DTI in Cognitively Normal H63D-HFE Polymorphism Carriers.The BDNF Val66Met Polymorphism Affects the Vulnerability of the Brain Structural NetworkRevolution of Resting-State Functional Neuroimaging Genetics in Alzheimer's Disease.Reduced white matter MRI transverse relaxation rate in cognitively normal H63D-HFE human carriers and H67D-HFE mice.Sex-specific effects of COMT Val158Met polymorphism on corpus callosum structure: A whole-brain diffusion-weighted imaging study.The effect of feature image on sensitivity of the statistical analysis in the pipeline of a tractography atlas-based analysis.The development of brain white matter microstructure.Abnormal white matter integrity during pain-free periovulation is associated with pain intensity in primary dysmenorrhea.Magnified effects of the COMT gene on white-matter microstructure in very old age.Impacts of PICALM and CLU variants associated with Alzheimer's disease on the functional connectivity of the hippocampus in healthy young adults.Neuroimaging genetic risk for Alzheimer's disease in preclinical individuals: From candidate genes to polygenic approaches
P2860
Q24289409-45CF4F07-22FA-4F6B-87B2-6D9F00710FB9Q24289484-31BEBB68-4905-4031-9E05-B546905F674EQ30680866-2951C33F-FD88-4E7A-92B2-205B8B40E4E4Q33715736-337DB848-F843-42FA-96F1-A25CE931263DQ33946440-858FEA8C-CD30-463B-BE42-FAB46EB0EC75Q34064379-175A7DF1-25E6-4E08-98EE-6C463DABEC2DQ34344559-80269DC4-1FDB-4E53-A34A-179DE4196A1BQ34603780-A8197A07-3229-4E22-A6B0-7B908C0D97C1Q34725000-BA57F7BC-D91E-4614-A00C-F8C3A40D1333Q35049949-FED56E2B-99A4-4360-B2D4-56D567F9B501Q35061238-EAF9DEE7-CF3D-4766-A9AC-6FFE9C742A6AQ35137763-8A8746D4-8435-43CE-91DD-C7971334BA95Q35641877-0F07DD8D-71F3-45B1-AC37-7A53CD1A999AQ36169923-87A7F673-4CF4-4E97-8B37-62A12A330701Q36965066-7A09B26B-2CC0-4442-B314-39688D3EBAE4Q37060335-62CD2C55-F653-4916-A141-9EB4C652771EQ37628145-3CC2E17A-5F1D-4553-BD82-DD6FE4227A36Q38100421-2C7083A5-9F7B-41AE-A870-D81DA07F976AQ38164791-F701967E-8517-440A-9A40-4EE3833FD84EQ38200975-DAE169BE-87C4-4524-A5B3-68C6A858F4F0Q38644063-F5DC06E2-8116-42F2-B47F-A6DB11E29B30Q39311511-6ED393AE-7BDF-4DD6-AF76-E1F99C604A4CQ39419112-AC441B6F-AF5F-4ACC-98D5-51614C1B8D8CQ40218931-84D15C7F-9AC2-41B8-A9BE-7658C0ECDCB9Q41691295-DCCDE7C9-56D5-49F6-A77B-F867C566FD6EQ42281494-BA02B77C-BFCB-4D77-9862-C28F68E30F4FQ47197371-47F70E43-309D-4D97-861B-F39BF734BDBDQ48565017-7ACB8B66-C5C7-40A0-AEF1-5596A1045171Q48640612-E4E67B00-E6A1-4D11-9994-F881F0075BF5Q53349686-909DD20E-0671-487D-B4AF-C1D892CF09ADQ57513294-35144C08-88D7-4DC8-9F85-CA8F7AC7A5B0
P2860
Predicting white matter integrity from multiple common genetic variants.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
@zh
2012年论文
@zh-cn
name
Predicting white matter integrity from multiple common genetic variants.
@ast
Predicting white matter integrity from multiple common genetic variants.
@en
type
label
Predicting white matter integrity from multiple common genetic variants.
@ast
Predicting white matter integrity from multiple common genetic variants.
@en
prefLabel
Predicting white matter integrity from multiple common genetic variants.
@ast
Predicting white matter integrity from multiple common genetic variants.
@en
P2093
P2860
P50
P356
P1476
Predicting white matter integrity from multiple common genetic variants.
@en
P2093
April H Reese
Derrek P Hibar
Katie L McMahon
Meredith N Braskie
Ming-Chang Chiang
Omid Kohannim
P2860
P2888
P304
P356
10.1038/NPP.2012.49
P407
P50
P577
2012-04-18T00:00:00Z
P5875
P6179
1018978858