<p>Candidate modules from all whole brain and each brain regional network are shown. The first column depicts the network from which the candidate module was derived and the second column is the module name. The direction of the correlation is not reported as these are unsigned networks. N/A indicates there were no common eQTLs among the probesets. The mQTL location reports the chromosome and Mb location for the highest peak.</p
<p><b>Copyright information:</b></p><p>Taken from "Surrogate phenotype definition for alcohol use di...
International audienceTwo linkage methods were used to detect loci underlying neurophysiological mea...
Background: Chronic alcoholism can exert widespread damage to selective brain systems, contributing...
<p>The size of each meta-module in the eigengene network is reported as number of eigengenes and num...
To identify brain transcriptional networks that may predispose an animal to consume alcohol, we used...
WOS: 000458437000010PubMed ID: 29280246We aimed to examine the whole-brain white matter connectivity...
Contains fulltext : 226131.pdf (publisher's version ) (Open Access)To identify neu...
<p>Pearson semi-partial correlation coefficients were calculated between transcripts within meta-mod...
We aimed to examine the whole-brain white matter connectivity and local topology of reward system no...
Alcohol dependence (AD) is a complex addictive disorder, affecting 5.4% of the general population du...
<p>The correlation networks were created from the Pearson correlation between QTL activity patterns ...
A recently developed measure of structural brain connectivity disruption, the loss in connectivity (...
To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance im...
Alcohol abuse and alcohol dependence are key factors in the development of alcohol use disorder, whi...
Alcohol dependence (AD) is characterized by corticostriatal impairments in individual brain areas su...
<p><b>Copyright information:</b></p><p>Taken from "Surrogate phenotype definition for alcohol use di...
International audienceTwo linkage methods were used to detect loci underlying neurophysiological mea...
Background: Chronic alcoholism can exert widespread damage to selective brain systems, contributing...
<p>The size of each meta-module in the eigengene network is reported as number of eigengenes and num...
To identify brain transcriptional networks that may predispose an animal to consume alcohol, we used...
WOS: 000458437000010PubMed ID: 29280246We aimed to examine the whole-brain white matter connectivity...
Contains fulltext : 226131.pdf (publisher's version ) (Open Access)To identify neu...
<p>Pearson semi-partial correlation coefficients were calculated between transcripts within meta-mod...
We aimed to examine the whole-brain white matter connectivity and local topology of reward system no...
Alcohol dependence (AD) is a complex addictive disorder, affecting 5.4% of the general population du...
<p>The correlation networks were created from the Pearson correlation between QTL activity patterns ...
A recently developed measure of structural brain connectivity disruption, the loss in connectivity (...
To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance im...
Alcohol abuse and alcohol dependence are key factors in the development of alcohol use disorder, whi...
Alcohol dependence (AD) is characterized by corticostriatal impairments in individual brain areas su...
<p><b>Copyright information:</b></p><p>Taken from "Surrogate phenotype definition for alcohol use di...
International audienceTwo linkage methods were used to detect loci underlying neurophysiological mea...
Background: Chronic alcoholism can exert widespread damage to selective brain systems, contributing...