Publications by authors named "Gladi Thng"

Article Synopsis
  • The study investigates the genetic risk factors associated with different patterns of adolescent depression, highlighting the importance of understanding how genetics contribute to varied symptom trajectories over time.
  • Using data from two large longitudinal cohorts in the US and UK, researchers employed growth modeling and polygenic risk score analysis to assess genetic influences on depression and related psychiatric disorders across various ancestries.
  • The findings demonstrate unique depression trajectories in adolescents and suggest that genetics play a significant role in the development and progression of depressive symptoms, potentially guiding early intervention strategies.
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Background: The brain can be represented as a network, with nodes as brain regions and edges as region-to-region connections. Nodes with the most connections (hubs) are central to efficient brain function. Current findings on structural differences in Major Depressive Disorder (MDD) identified using network approaches remain inconsistent, potentially due to small sample sizes.

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Article Synopsis
  • Maternal depression and anxiety during pregnancy have significant long-term societal effects, making it vital to study their progression from preconception to after childbirth.
  • Researchers used a Bayesian framework to analyze seven health outcomes related to maternal mental health, employing various modeling techniques to account for individual differences and clustering.
  • The study identified four distinct patterns of mental health trajectories and highlighted the need for caution in using hair corticosteroids as a biomarker for mental health during pregnancy, along with identifying key preconception risk factors contributing to depressive and anxiety symptoms.
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Background: Schizophrenia is a heritable psychiatric disorder with a polygenic architecture. Genome-wide association studies have reported that an increasing number of risk-associated variants and polygenic risk scores (PRSs) explain 17% of the variance in the disorder. Substantial heterogeneity exists in the effect of these variants, and aggregating them based on biologically relevant functions may provide mechanistic insight into the disorder.

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Background: Major depressive disorder (MDD) is a polygenic disorder associated with brain alterations but until recently, there have been no brain-based metrics to quantify individual-level variation in brain morphology. Here, we evaluated and compared the performance of a new brain-based 'Regional Vulnerability Index' (RVI) with polygenic risk scores (PRS), in the context of MDD. We assessed associations with syndromal MDD in an adult sample ( = 702, age = 59 ± 10) and with subclinical depressive symptoms in a longitudinal adolescent sample (baseline  = 3,825, age = 10 ± 1; 2-year follow-up  = 2,081, age = 12 ± 1).

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Some individuals exposed to early life stress show evidence of enhanced systemic inflammation and are at greater risk for psychopathology. In the current study, caregivers and their offspring (0-17 years) were recruited at a pediatric clinic visit at the University of California, San Francisco (UCSF). Mothers and seven-year-old children from the Growing Up inSingaporeTowards healthy Outcomes (GUSTO) prospective birth cohort were used as a replication cohort.

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