A5069555575- Advanced Neuroimaging Techniques and Applications
- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Functional Brain Connectivity Studies
- Genetic and phenotypic traits in livestock
- Cerebrovascular and Carotid Artery Diseases
- Genetic Mapping and Diversity in Plants and Animals
- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Folate and B Vitamins Research
- Alcohol Consumption and Health Effects
- Gene expression and cancer classification
- Health, Environment, Cognitive Aging
- EEG and Brain-Computer Interfaces
- Cancer-related molecular mechanisms research
- Neural dynamics and brain function
- Cardiovascular Health and Disease Prevention
- RNA regulation and disease
- Liver Disease Diagnosis and Treatment
- Cardiovascular Health and Risk Factors
- Mitochondrial Function and Pathology
- Mental Health Research Topics
- RNA modifications and cancer
- Advanced MRI Techniques and Applications
- Sleep and related disorders
University of Maryland, Baltimore
2020-2024
University of Mary
2021
University of Maryland, College Park
2021
Abstract Non-coding RNAs (ncRNAs) have played an indispensable role in regulating gene expression and cellular processes. However, the complex regulatory circuits between ncRNAs coding genes remain understudied. Major challenges for inferring ncRNA network (NRN) on a transcriptome-wide scale include high dimensionality of both data, their context-dependent interaction, lack validation. We hereby propose comprehensive analytical framework, namely Construction Analysis non-coding RNA NETwork (...
Abstract Elevated arterial blood pressure (BP) is a common risk factor for cerebrovascular and cardiovascular diseases, but no causal relationship has been established between BP cerebral white matter (WM) integrity. In this study, we performed two‐sample Mendelian randomization (MR) analysis with individual‐level data by defining two nonoverlapping sets of European ancestry individuals (genetics–exposure set: N = 203,111; mean age 56.71 years, genetics–outcome 16,156; 54.61 years) from UK...
Background: Elevated blood pressure (BP) is a modifiable risk factor associated with cognitive impairment and cerebrovascular diseases. However, the causal effect of BP on white matter brain aging remains unclear. Methods: In this study, we focused N = 228 473 individuals European ancestry who had genotype data clinical measurements available (103 929 men 124 544 women, mean age 56.49, including 16 901 participants neuroimaging available) collected from UK Biobank (UKB). We first established...
Summary An important measure of brain health is the integrity white matter connectivity structures that link regions. Studies have found an association between poorer sleep quality and decreased integrity. Stress among strongest predictors quality. This study aimed to evaluate test if relationship persisted after accounting for stress. White microstructures were measured by diffusion tensor imaging in a population Old Order Amish/Mennonite ( N = 240). Sleep was determined Pittsburgh Quality...
White matter (WM) brain age, a neuroimaging-derived biomarker indicating WM microstructural changes, helps predict dementia and neurodegenerative disorder risks. The cumulative effect of chronic stress on aging remains unknown. In this study, we assessed using multi-system composite allostatic load (AL) index based inflammatory, anthropometric, respiratory, lipidemia, glucose metabolism measures, investigated its association with age gap (BAG), computed from diffusion tensor imaging data...
Abstract The functional connectome changes with aging. We systematically evaluated aging related alterations in the using a whole-brain network analysis 39,675 participants UK Biobank project. used adaptive dense discovery tools to identify networks directly associated from resting-state fMRI data. replicated our findings 499 Lifespan Human Connectome Project Aging study. results consistently revealed two motor-related subnetworks (both permutation test p-values <0.001) that showed...
Human brain aging is a complex process that affects various aspects of function and structure, increasing susceptibility to neurological psychiatric disorders. A number nongenetic (e.g., environmental lifestyle) genetic risk factors are found contribute the varying rates at which ages among individuals.
Abstract Genome-wide association studies (GWAS) have identified thousands of single-nucleotide polymorphisms (SNPs) associated with complex traits, but determining the underlying causal variants remains challenging. Fine mapping aims to pinpoint potentially from a large number correlated SNPs possibly group structure in GWAS-enriched genomic regions using variable selection approaches. In multi-trait fine mapping, we are interested identifying for multiple related traits. Existing...
Tobacco smoking is an addictive behavior that supports nicotine dependence and independent risk factor for cancer other illnesses. Its neurogenetic mechanisms are not fully understood but may act through alterations in the cerebral white matter (WM). We hypothesized vertical pleiotropic pathways, where genetic variants influence a trait turn influences another trait, link factors, integrity of WM, addiction. tested this hypothesis using individual WM measured by fractional anisotropy (FA),...
Abstract Background Elevated blood pressure (BP) is a modifiable risk factor associated with cognitive impairment and cerebrovascular diseases. However, the causal effect of BP on white matter (WM) brain aging remains unclear. Methods In this study, we focused N=219,968 non-pregnant, family-unrelated individuals European ancestry who had genotype data two non-null clinical measurements available (99,532 male 120,436 female, mean age=56.55, including 16,901 participants neuroimaging...
The advancement of high-throughput technology characterizes a wide variety epigenetic modifications and noncoding RNAs across the genome involved in disease pathogenesis via regulating gene expression. high dimensionality both epigenetic/noncoding RNA expression data make it challenging to identify important regulators genes. Conducting univariate test for each possible regulator-gene pair is subject serious multiple comparison burden, direct application regularization methods select pairs...
Poor glycemic control with elevated levels of hemoglobin A1c (HbA1c) is associated increased risk cognitive impairment, potentially varying effects between sexes. However, the causal impact poor on white matter brain aging in men and women uncertain.
Abstract Network analysis of whole-brain connectome data is widely employed to examine systematic changes in connections among brain areas caused by clinical and experimental conditions. In these analyses, the data, represented as a matrix, are treated outcomes, while subject conditions serve predictors. The objective network identify subnetworks whose edges associated with Data-driven powerful approach that automatically organizes individual predictor-related (edges) into subnetworks,...
Abstract Motivation The advent of multimodal omics data has provided an unprecedented opportunity to systematically investigate underlying biological mechanisms from distinct yet complementary angles. However, the joint analysis multi-omics remains challenging because it requires modeling interactions between multiple sets high-throughput variables. Furthermore, these interaction patterns may vary across different clinical groups, reflecting disease-related processes. Results We propose a...
Abstract White matter (WM) brain age, a neuroimaging-derived biomarker indicating WM microstructural changes, helps predict dementia and neurodegenerative disorder risks. The cumulative effect of chronic stress on aging remains unknown. In this study, we assessed using multi-system composite allostatic load (AL) index based inflammatory, anthropometric, respiratory, lipidemia, glucose metabolism measures, investigated its association with age gap (BAG), computed from diffusion tensor imaging...
Abstract Introduction Nicotine addiction, a multifaceted neuropsychiatric disorder, profoundly impacts brain functions through interactions with neural pathways. Despite its significance, the impact of tobacco smoking on whole-brain functional connectome remains largely unexplored. Methods We conducted analysis 24,539 adults aged 40 and above from UK Biobank cohort. Subjects were categorized into individuals who use nicotine do not based current chronic information. Functional connectivity...
Abstract In the past two decades, genome-wide association studies (GWAS) have pinpointed numerous SNPs linked to human diseases and traits, yet many of these are in non-coding regions hard interpret. Transcriptome-wide (TWAS) integrate GWAS expression reference panels identify associations at gene level with tissue specificity, potentially improving interpretability. However, list individual genes identified from univariate TWAS contains little unifying biological theme, leaving underlying...
Abstract The functional connectome changes with aging. We systematically evaluated aging-related alterations in the using a whole-brain network analysis 39,675 participants UK Biobank project. used adaptive dense discovery tools to identify networks directly associated aging from resting-state fMRI data. replicated our findings 499 Lifespan Human Connectome Project Aging study. results consistently revealed two motor-related subnetworks (both permutation test p-values &lt;0.001) that...
Although substance use, such as alcohol consumption, is known to be associated with cognitive decline during ageing, its direct influence on the central nervous system remains unclear. In this study, we aim investigate potential of intake frequency accelerated brain ageing by estimating mean brain-age gap (BAG) index, difference between age and actual age, under different frequencies in a large UK Biobank (UKB) cohort extensive phenomic data reflecting comprehensive life-style profile. We...
Abstract Detection of prognostic factors associated with patients’ survival outcome helps gain insights into a disease and guide treatment decisions. The rapid advancement high-throughput technologies has yielded plentiful genomic biomarkers as candidate factors, but most are limited use in clinical application. As the price technology drops over time, many studies conducted to explore common scientific question different cohorts identify more reproducible credible biomarkers. However, new...