Results 71 to 80 of about 8,310 (209)
The Role of Genetics in Stroke Risk and Outcome: A Review of Current Evidence
This study delineates the multiple pathways leading to stroke, encompassing genetic risk factors such as lipid/cholesterol metabolism, blood pressure regulation genes, and endothelial dysfunction. The report includes genetic pathways such as Val66Met polymorphism, prothrombin G20210A, interleukin‐6 and tumor necrosis factor gene variant, along with ...
Mega Obukohwo Oyovwi +3 more
wiley +1 more source
Association of DAT1 genetic variants with habitual sleep duration in the UK Biobank [PDF]
Short sleep duration has been linked to negative health effects, but is a complex phenotype with many contributing factors, including genetic. We evaluated 27 common single nucleotide polymorphisms (SNPs) in candidate genes previously reported to be associated with other sleep variables for association with self-reported habitual sleep duration in the ...
Jessica A Rhodes +5 more
openaire +4 more sources
DAT1 polymorphism is associated with risk taking in the Balloon Analogue Risk Task (BART).
Twin-studies suggest that a significant portion of individual differences in the propensity to take risks resides in people's genetic make-up and there is evidence that variability in dopaminergic systems relates to individual differences in risky choice.
Rui Mata +3 more
doaj +1 more source
ABSTRACT Introduction Adolescents are particularly susceptible to peer influence and at higher risk of engaging in problematic behaviors through peer interactions, but also vary in the extent to which they are influenced by their peers. Resistance to peer influence, the tendency to refuse undesired peer pressure, is one key factor for this variation ...
Li (Hazel) Yu +7 more
wiley +1 more source
Interactive effects of dopamine transporter genotype and aging on resting-state functional networks.
Aging and dopamine modulation have both been independently shown to influence the functional connectivity of brain networks during rest. Dopamine modulation is known to decline during the course of aging.
Christian Baeuchl +5 more
doaj +1 more source
Neurophysiological Measures and Alcohol Use Disorder (AUD): Hypothesizing Links between Clinical Severity Index and Molecular Neurobiological Patterns [PDF]
In 1987, Cloninger proposed a clinical description and classification of different personality traits genetically defined and independent from each other. Moreover, he elaborated a specific test the TCI to investigate these traits/states.
Attilia, Maria Luisa +9 more
core +1 more source
This study explores the genetic overlap among PTSD, MDD, BD, and SZ, revealing shared biological pathways and co‐expression networks. Functional enrichment analysis highlights common molecular mechanisms underlying these psychiatric disorders, providing insights into their comorbidity and potential avenues for targeted therapeutic strategies.
Hernan F. Guillen‐Burgos +8 more
wiley +1 more source
ABSTRACT Over recent decades, Italy has been affected by multiple earthquakes, revealing the significant vulnerability of existing structures. These seismic events have resulted in notable human and economic losses, emphasising the importance of evaluating the impact of one or more seismic events on various building types.
Chiara Monteferrante +3 more
wiley +1 more source
Interactive Effects of OPRM1 and DAT1 Genetic Variation on Subjective Responses to Alcohol [PDF]
Subjective response to alcohol represents a marker of alcoholism risk. The A118G single-nucleotide polymorphism (SNP) of the mu opioid receptor (OPRM1) gene has been associated with subjective response to alcohol. Recently, the dopamine transporter (DAT1) variable number of tandem repeat (VNTR; SLC6A3) has been found to interact with the OPRM1 A118G ...
Ray, Lara A +4 more
openaire +5 more sources
Measuring the Performance of Survival Models to Personalize Treatment Choices
ABSTRACT Various statistical and machine learning algorithms can be used to predict treatment effects at the patient level using data from randomized clinical trials (RCTs). Such predictions can facilitate individualized treatment decisions. Recently, a range of methods and metrics were developed for assessing the accuracy of such predictions. Here, we
Orestis Efthimiou +10 more
wiley +1 more source

