A5078911264- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Single-cell and spatial transcriptomics
- Circadian rhythm and melatonin
- Psychological and Temporal Perspectives Research
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Genomics and Phylogenetic Studies
- Cancer-related molecular mechanisms research
- Genetic Syndromes and Imprinting
- RNA Research and Splicing
- Genetic Mapping and Diversity in Plants and Animals
- Spaceflight effects on biology
- Dietary Effects on Health
- Health, Environment, Cognitive Aging
- Folate and B Vitamins Research
University of California, Los Angeles
2017-2025
Abstract Bipolar disorder (BD) is a heritable characterized by shifts in mood that manifest manic or depressive episodes. Clinical studies have identified abnormalities of the circadian system BD patients as hallmark underlying pathophysiology. Fibroblasts are well-established vitro model for measuring patterns. We set out to examine genetic architecture rhythm fibroblasts, with goal assess its contribution polygenic nature disease risk. collected, from primary cell lines 6 healthy...
<h2>Summary</h2> Genome-wide association studies (GWASs) have uncovered susceptibility loci associated with psychiatric disorders such as bipolar disorder (BP) and schizophrenia (SCZ). However, most of these are in non-coding regions the genome, causal mechanisms link between genetic variation disease risk is unknown. Expression quantitative trait locus (eQTL) analysis bulk tissue a common approach used for deciphering underlying mechanisms, although this can obscure cell-type-specific...
<title>Abstract</title> <bold>Background</bold> Bipolar disorder (BD) is a heritable characterized by shifts in mood that manifest manic or depressive episodes. Clinical studies have identified abnormalities of the circadian system BD patients as hallmark underlying pathophysiology. Fibroblasts are well-established vitro model for measuring patterns. We set out to examine genetic architecture rhythm fibroblasts, with goal assess its contribution polygenic nature disease risk. collected, from...
Mapping genetic variants that regulate gene expression (eQTL mapping) in large-scale RNA sequencing (RNA-seq) studies is often employed to understand functional consequences of regulatory variants. However, the high cost RNA-seq limits sample size, depth, and, therefore, discovery power eQTL studies. In this work, we demonstrate that, given a fixed budget, can be increased by lowering depth per and increasing number individuals sequenced assay. We perform whole-blood tissue across 1,490 at...
Genomic studies of molecular traits have provided mechanistic insights into complex disease, though these lag behind for brain-related due to the inaccessibility brain tissue. We leveraged cerebrospinal fluid (CSF) study neurobiological mechanisms in vivo , measuring 5,543 CSF metabolites, largest panel date, 977 individuals European ancestry. Individuals originated from two separate cohorts including cognitively healthy subjects (n=490) and a well-characterized memory clinic sample,...
<title>Abstract</title> <bold>Background</bold> Bipolar disorder (BD) is a heritable characterized by shifts in mood that manifest manic or depressive episodes. Clinical studies have identified abnormalities of the circadian system BD patients as hallmark underlying pathophysiology. Fibroblasts are well-established vitro model for measuring patterns. We set out to examine genetic architecture rhythm fibroblasts, with goal assess its contribution polygenic nature disease risk. collected, from...
ABSTRACT Bipolar disorder (BD) is a heritable characterized by shifts in mood that manifest manic or depressive episodes. Clinical studies have identified abnormalities of the circadian system BD patients as hallmark underlying pathophysiology. Fibroblasts are well-established vitro model for measuring patterns. We set out to examine genetic architecture rhythm fibroblasts, with goal assess its contribution polygenic nature disease risk. collected, from primary cell lines 6 healthy...
Abstract Genome-wide association studies (GWAS) have uncovered susceptibility loci associated with psychiatric disorders like bipolar disorder (BP) and schizophrenia (SCZ). However, most of these are in non-coding regions the genome unknown causal mechanisms link between genetic variation disease risk. Expression quantitative trait (eQTL) analysis bulk tissue is a common approach to decipher underlying mechanisms, though this can obscure cell-type specific signals thus masking trait-relevant...
ABSTRACT Mapping genetic variants that regulate gene expression (eQTL mapping) in large-scale RNA sequencing (RNA-seq) studies is often employed to understand functional consequences of regulatory variants. However, the high cost RNA-Seq limits sample size, depth, and therefore, discovery power. In this work, we demonstrate that, given a fixed budget, eQTL power can be increased by lowering depth per increasing number individuals sequenced assay. We perform whole blood tissue across 1490 at...
Abstract There is a pressing need for in vitro experimental systems that allow interrogation of polygenic psychiatric disease risk to study the underlying biological mechanisms. We developed an analytical framework integrates genome-wide from GWAS with longitudinal gene expression profiles human neuronal differentiation. demonstrate cumulative impact loci specific disorders significantly associated genes are differentially expressed across find significant evidence schizophrenia, which...
Abstract Background Many genetic risk variants have been identified for Alzheimer’s disease (AD), but their functional consequence on molecular pathways are unclear. Quantitative trait loci (QTL) studies help elucidate the effect of variance (neuro)biological processes. The understanding AD mechanisms has limited due to relative inaccessibility in vivo brain tissue and its surroundings. In this study, we integrated metabolomics cerebrospinal fluid (CSF) data, understand how influence...