scholarly journals Relationship between the LHPP Gene Polymorphism and Resting-State Brain Activity in Major Depressive Disorder

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Lingling Cui ◽  
Xiaohong Gong ◽  
Yanqing Tang ◽  
Lingtao Kong ◽  
Miao Chang ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Prefrontal Cortex ◽  
Depressive Disorder ◽  
Resting State ◽  
Brain Activity ◽  
Association Studies ◽  
Neural System ◽  
Middle Temporal Gyrus ◽  
Genome Wide Association Studies ◽  
Major Depressive

A single-nucleotide polymorphism at the LHPP gene (rs35936514) has been reported in genome-wide association studies to be associated with major depressive disorder (MDD). However, the neural system effects of rs35936514 that mediate the association are unknown. The present work explores whether the LHPP rs35936514 polymorphism moderates brain regional activity in MDD. A total of 160 subjects were studied: a CC group homozygous for the C allele (23 individuals with MDD and 57 controls) and a T-carrier group carrying the high risk T allele (CT/TT genotypes; 22 MDD and 58 controls). All participants underwent resting-state functional magnetic resonance imaging (rs-fMRI) scanning. Brain activity was assessed using the amplitudes of low-frequency fluctuations (ALFF). MDD patients showed a significant increased ALFF in the left middle temporal gyrus and occipital cortex. The T-carrier group showed increased ALFF in the left superior temporal gyrus. Significant diagnosis × genotype interaction was noted in the bilateral lingual gyri, bilateral dorsal lateral prefrontal cortex (dlPFC), and left medial prefrontal cortex (mPFC) (P<0.05, corrected). Results demonstrated that MDD patients with LHPP rs35936514 CT/TT genotype may influence the regional brain activity. These findings implicate the effects of the rs35936514 variation on the neural system in MDD.

Resting-state brain activity in major depressive disorder patients and their siblings

2013 ◽  
Vol 149 (1-3) ◽  
pp. 299-306 ◽  
Author(s):  
Chun-Hong Liu ◽  
Xin Ma ◽  
Xia Wu ◽  
Ting-Ting Fan ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Resting State ◽  
Brain Activity ◽  
Major Depressive

The current state of play on the molecular genetics of depression

2012 ◽  
Vol 43 (4) ◽  
pp. 673-687 ◽  
Author(s):  
S. Cohen-Woods ◽  
I. W. Craig ◽  
P. McGuffin
Keyword(s):  
Major Depressive Disorder ◽  
High Risk ◽  
Depressive Disorder ◽  
Association Studies ◽  
Genetic Research ◽  
Small Samples ◽  
Shared Environment ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Comprehensive Overview

BackgroundIt has been well established that both genes and non-shared environment contribute substantially to the underlying aetiology of major depressive disorder (MDD). A comprehensive overview of genetic research in MDD is presented.MethodPapers were retrieved from PubMed up to December 2011, using many keywords including: depression, major depressive disorder, genetics, rare variants, gene–environment, whole genome, epigenetics, and specific candidate genes and variants. These were combined in a variety of permutations.ResultsLinkage studies have yielded some promising chromosomal regions in MDD. However, there is a continued lack of consistency in association studies, in both candidate gene and genome-wide association studies (GWAS). Numerous factors may account for variable results including the use of different diagnostic approaches, small samples in early studies, population stratification, epigenetic phenomena, copy number variation (CNV), rare variation, and phenotypic and allelic heterogeneity. The conflicting results are also probably, in part, a consequence of environmental factors not being considered or controlled for.ConclusionsEach research group has to identify what issues their sample may best address. We suggest that, where possible, more emphasis should be placed on the environment in molecular behavioural genetics to identify individuals at environmental high risk in addition to genetic high risk. Sequencing should be used to identify rare and alternative variation that may act as a risk factor, and a systems biology approach including gene–gene interactions and pathway analyses would be advantageous. GWAS may require even larger samples with reliably defined (sub)phenotypes.

scholarly journals Abnormality of Resting-State Functional Connectivity in Major Depressive Disorder: A Study With Whole-Head Near-Infrared Spectroscopy

2021 ◽  
Vol 12 ◽  
Author(s):  
Eisuke Sakakibara ◽  
Yoshihiro Satomura ◽  
Jun Matsuoka ◽  
Shinsuke Koike ◽  
Naohiro Okada ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Prefrontal Cortex ◽  
Infrared Spectroscopy ◽  
Functional Connectivity ◽  
Depressive Disorder ◽  
Resting State ◽  
Near Infrared ◽  
Healthy Controls ◽  
Resting State Functional Connectivity ◽  
Major Depressive

Near-infrared spectroscopy (NIRS) is a functional neuroimaging modality that has advantages in clinical usage. Previous functional magnetic resonance imaging (fMRI) studies have found that the resting-state functional connectivity (RSFC) of the default mode network (DMN) is increased, while the RSFC of the cognitive control network (CCN) is reduced in patients with major depressive disorder (MDD) compared with healthy controls. This study tested whether the NIRS-based RSFC measurements can detect the abnormalities in RSFC that have been associated with MDD in previous fMRI studies. We measured 8 min of resting-state brain activity in 34 individuals with MDD and 78 age- and gender-matched healthy controls using a whole-head NIRS system. We applied a previously established partial correlation analysis for estimating RSFCs between the 17 cortical regions. We found that MDD patients had a lower RSFC between the left dorsolateral prefrontal cortex and the parietal lobe that comprise the CCN, and a higher RSFC between the right orbitofrontal cortex and ventrolateral prefrontal cortex, compared to those in healthy controls. The RSFC strength of the left CCN was negatively correlated with the severity of depressive symptoms and the dose of antipsychotic medication and positively correlated with the level of social functioning. The results of this study suggest that NIRS-based measurements of RSFCs have potential clinical applications.

scholarly journals Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder

2015 ◽  
Vol 72 (7) ◽  
pp. 642 ◽  
Author(s):  
Marleen H. M. de Moor ◽  
Stéphanie M. van den Berg ◽  
Karin J. H. Verweij ◽  
Robert F. Krueger ◽  
Michelle Luciano ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Association Studies ◽  
Meta Analysis ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Genome Wide

Genome-wide association studies of placebo and duloxetine response in major depressive disorder

2017 ◽  
Vol 18 (3) ◽  
pp. 406-412 ◽  
Author(s):  
M Maciukiewicz ◽  
V S Marshe ◽  
A K Tiwari ◽  
T M Fonseka ◽  
N Freeman ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Major Depressive ◽  
Genome Wide
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