Multilayer network associations between the exposome and childhood brain development

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Окт. 25, 2023

Abstract Growing up in a high poverty neighborhood is associated with elevated risk for academic challenges and health problems. Here, we take data-driven approach to exploring how measures of children’s environments relate the development their brain structure function community sample children between ages 4 10 years. We constructed exposomes including family socioeconomic status, exposure adversity, geocoded crime, environmental toxins. connected exposome two structural (cortical thickness surface area, n = 170) functional (participation coefficient clustering coefficient, 130). found dense connections within layers sparse layers. Lower income was thinner visual cortex, consistent theory that accelerated detectable early-developing regions. Greater incidence blood lead levels greater segregation default mode network, evidence toxins are deposited into along midline. Our study demonstrates utility multilayer network analysis bridge neural explanatory better understand complexity child development.

Язык: Английский

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Mapping the exposome of mental health: exposome-wide association study of mental health outcomes among UK Biobank participants

Опубликована: Авг. 3, 2024

Dissecting exposome linked to mental health outcomes can help identify potentially modifiabletargets improve well-being. However, the multiplicity of exposures and complexityof phenotypes pose a major challenge. Here we conducted hypothesis-freeexposome-wide analyses factors associated with 7 psychiatric diagnostic domains and19 symptom dimensions in 157,298 participants from UK Biobank Mental Health Survey. Thecomprehensive mapping 294 revealed that several environmental factors,particularly those previously well-studied—such as exposure traumaticevents, childhood adversities, cannabis use—were shared across phenotypes,providing further support for transdiagnostic pathoetiology. Our findings also showed distinctrelations might exist between particular specific outcomes.Continued research into through multimodal mechanistic studies guided by thetransdiagnostic framework is required better inform public policies.

Язык: Английский

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DeepEXPOKE: A Deep Learning Framework with Polygenic Risk Scores as Knockoffs for Deconvoluting Genetic and Non-Genetic Exposure Risks in Sepsis and Coronary Heart Disease

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Окт. 16, 2024

ABSTRACT The exposome refers to the totality of environmental, behavioral, and lifestyle exposures an individual experiences throughout one’s lifetime. Due modifiability exposures, identifying risk on a disease is crucial for effective intervention prevention disease. However, traditional analytical methods struggle capture complexities data: nonlinear effects, correlated potential interplay with genetic effects. To address these challenges accurately estimate exposure effects complex diseases, we developed DeepEXPOKE, deep learning framework integrating two types knockoff features: statistical knockoffs (statKO) polygenic score as (PRSKO). DeepEXPOKE-statKO controls correlation DeepEXPOKE-PRSKO isolates while both can We applied DeepEXPOKE predict outcomes significant diseases distinct etiology clinical presentation: sepsis coronary heart (CHD), demonstrating its performance in comparison existing machine methods. Furthermore, identified metabolites such glucose triglycerides factors suggested that their are primarily at non-genetic level, consistent role responding environmental factors. Additionally, uniquely asthma factor effect partially offering insights into conflicting associations observed between genome data studies patient analysis regarding risk. Overall, offers novel DNN approach interpreting factors, advancing our understanding diseases.

Язык: Английский

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Independent and joint effects of genomic and exposomic loads for schizophrenia on distressing and persisting psychotic experiences in adolescence

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Ноя. 11, 2024

To assess the longitudinal associations of genomic and exposomic liabilities for schizophrenia, both independently jointly, with distressing psychotic experiences (PEs) their persistence in early adolescence. The Adolescent Brain Cognitive Development Study data from children European ancestry were used (n=5,122). primary outcome was past-month PEs at 3-year follow-up. Secondary outcomes lifetime defined varying cutoffs (from ≥ 1-4 waves). Multilevel logistic regression models to test independent joint binary modes (risk-category as above 75th percentile) polygenic risk score schizophrenia (PRS-SCZ

Язык: Английский

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Assessing the Impact and Cost-Effectiveness of Exposome Interventions on Alzheimer’s Disease: A Review of Agent-Based Modeling and Other Data Science Methods for Causal Inference

Genes, Год журнала: 2024, Номер 15(11), С. 1457 - 1457

Опубликована: Ноя. 12, 2024

The exposome (e.g., totality of environmental exposures) and its role in Alzheimer's Disease Related Dementias (AD/ADRD) are increasingly critical areas study. However, little is known about how interventions on the exposome, including personal behavioral modification or policy-level interventions, may impact AD/ADRD disease burden at population level real-world settings cost-effectiveness interventions.

Язык: Английский

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