ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2012
Predicting white matter integrity from multiple common genetic variants.
Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 49 citations in OpenAlex.
- Unravelling the genetic architecture of cerebral small vessel disease in the context of stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026Review
- White matter connectivity networks predict levodopa-induced dyskinesia in Parkinson's disease.Journal of neurology · 2022Article
- The development of brain white matter microstructure.NeuroImage · 2018Review
- Reduced Cerebral White Matter Integrity Assessed by DTI in Cognitively Normal H63D-HFE Polymorphism Carriers.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2018Article
- The effect of feature image on sensitivity of the statistical analysis in the pipeline of a tractography atlas-based analysis.Scientific reports · 2017Article
- Sex-specific effects ofBrain and behavior · 2017Article
- Revolution of Resting-State Functional Neuroimaging Genetics in Alzheimer's Disease.Trends in neurosciences · 2017Review
- The BDNF Val66Met Polymorphism Affects the Vulnerability of the Brain Structural Network.Frontiers in human neuroscience · 2017Article
- Reduced white matter MRI transverse relaxation rate in cognitively normal H63D-HFE human carriers and H67D-HFE mice.Brain imaging and behavior · 2016Article
- Neuroimaging genetic risk for Alzheimer's disease in preclinical individuals: From candidate genes to polygenic approaches.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2016Article
- A neurogenetics approach to defining differential susceptibility to institutional care.International journal of behavioral development · 2015Article
- Heritability and genetic association analysis of neuroimaging measures in the Diabetes Heart Study.Neurobiology of aging · 2015Article
- Genetic underpinnings of white matter 'connectivity': heritability, risk, and heterogeneity in schizophrenia.Schizophrenia research · 2015Review
- Article
- Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure.Neurobiology of aging · 2014Article
- Applying imaging genetics to ADHD: the promises and the challenges.Molecular neurobiology · 2014Review
- Improved DTI registration allows voxel-based analysis that outperforms tract-based spatial statistics.NeuroImage · 2014Article
- Neuroimaging and genetic risk for Alzheimer's disease and addiction-related degenerative brain disorders.Brain imaging and behavior · 2014Review
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data.Brain imaging and behavior · 2014Review
- A commonly carried genetic variant in the delta opioid receptor gene, OPRD1, is associated with smaller regional brain volumes: replication in elderly and young populations.Human brain mapping · 2014Article
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 3 countries.
Funding
Abstract
Several common genetic variants have recently been discovered that appear to influence white matter microstructure, as measured by diffusion tensor imaging (DTI). Each genetic variant explains only a small proportion of the variance in brain microstructure, so we set out to explore their combined effect on the white matter integrity of the corpus callosum. We measured six common candidate single-nucleotide polymorphisms (SNPs) in the COMT, NTRK1, BDNF, ErbB4, CLU, and HFE genes, and investigated their individual and aggregate effects on white matter structure in 395 healthy adult twins and siblings (age: 20-30 years). All subjects were scanned with 4-tesla 94-direction high angular resolution diffusion imaging. When combined using mixed-effects linear regression, a joint model based on five of the candidate SNPs (COMT, NTRK1, ErbB4, CLU, and HFE) explained ≈ 6% of the variance in the average fractional anisotropy (FA) of the corpus callosum. This predictive model had detectable effects on FA at 82% of the corpus callosum voxels, including the genu, body, and splenium. Predicting the brain's fiber microstructure from genotypes may ultimately help in early risk assessment, and eventually, in personalized treatment for neuropsychiatric disorders in which brain integrity and connectivity are affected.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.