Evidence suggests that depression is a risk factor for dementia; however, the relationship between the two conditions is not fully understood. A novel gene (TOMM40) has been consistently associated with Alzheimer's disease (AD), but has received no attention in depression. We conducted a three-level cross-sectional study to investigate the association of the TOMM40 rs2075650 SNP with depression. We recruited a community sample of 1220 participants (571 controls, 649 lifetime depression) to complete a psychiatric background questionnaire, the Brief Symptom Inventory, and Big Five Inventory at Level-1, 243 (102 controls, 97 remitted, 44 currently depressed) to complete a face-to-face clinical interview and neuropsychological testing at Level-2 and 58 (33 controls, 25 remitted) to complete an emotional face-processing task during fMRI at Level-3. Our results indicated that the TOMM40 rs2075650 G allele was a significant risk factor for lifetime depression (p = 0.00006) and, in depressed subjects, was a significant predictor of low extraversion (p = 0.009). Currently depressed risk allele carriers showed subtle executive dysfunction (p = 0.004) and decreased positive memory bias (p = 0.021) together with reduced activity in the posterior (p(FWE) = 0.045) and anterior (p(FWE) = 0.041) cingulate during sad face emotion processing. Our results suggest that TOMM40 rs2075650 may be a risk factor for the development of depression characterized by reduced extraversion, impaired executive function, and decreased positive emotional recall, and reduced top-down cortical control during sad emotion processing.
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http://dx.doi.org/10.1038/npp.2014.22 | DOI Listing |
Aging Brain
December 2024
University of Kansas Alzheimer's Disease Research Center, University of Kansas Medical Center, Kansas City, KS, 66160, USA.
A growing amount of data has implicated the gene in the risk for Alzheimer's disease (AD), neurodegeneration, and accelerated aging. No studies have investigated the relationship of rs2075650 ('650 on the structural complexity of the brain or plasma markers of neurodegeneration. We used a comprehensive approach to quantify the impact of '650 on brain morphology and multiple cortical attributes in cognitively unimpaired (CU) individuals.
View Article and Find Full Text PDFAlzheimers Dement (Amst)
June 2024
Biodemography of Aging Research Unit Social Science Research Institute, Duke University Durham North Carolina USA.
Introduction: The variability in apolipoprotein E () 4-attributed susceptibility to Alzheimer's disease (AD) across ancestries, sexes, and ages may stem from the modulating effects of other genetic variants.
Methods: We examined associations of compound genotypes (CompGs) comprising the 4-encoding rs429358, rs2075650, and rs12721046 polymorphisms with AD in White (7181/16,356 AD-affected/unaffected), Hispanic/Latino (2305/2921), and Black American (547/1753) participants across sexes and ages.
Results: The absence and presence of the rs2075650 and/or rs12721046 minor alleles in the 4-bearing CompGs define lower- and higher-AD-risk profiles, respectively, in White participants.
J Clin Med
May 2024
Cardiovascular Department, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, FG, Italy.
PeerJ
May 2024
School of Allied Health Sciences, College of Graduate Studies, Walailak University, Nakhon Si Thammarat, Thailand.
Background: Alzheimer's disease (AD) is one of the multifaceted neurodegenerative diseases influenced by many genetic and epigenetic factors. Genetic factors are merely not responsible for developing AD in the whole population. The studies of genetic variants can provide significant insights into the molecular basis of Alzheimer's disease.
View Article and Find Full Text PDFAlzheimers Dement
May 2024
Genetics and Aging Unit and McCance Center for Brain Health, Department of Neurology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Introduction: Genome-wide association studies have identified numerous disease susceptibility loci (DSLs) for Alzheimer's disease (AD). However, only a limited number of studies have investigated the dependence of the genetic effect size of established DSLs on genetic ancestry.
Methods: We utilized the whole genome sequencing data from the Alzheimer's Disease Sequencing Project (ADSP) including 35,569 participants.
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