Thomas S. Wingo

POISE: Spectral Inference of Parent-of-Origin Effects in Unlabeled Genomic Data

POISE infers parent-of-origin effects in unlabeled genomic data using spectral decomposition and bootstrap confidence intervals, identifying 134 new variants in lipid metabolism and immune regulation from UK Biobank data.

Leveraging the Genetics of Psychiatric Disorders to Prioritize Potential Drug Targets and Compounds

This paper uses genetic data from psychiatric disorders to prioritize drug targets and compounds, identifying genetic support for existing medications and opportunities for drug repurposing.

Behavioral and psychological symptoms of dementia: insights from a multivariate and network-based brain proteome-wide study

This study identifies proteins and networks associated with behavioral and psychological symptoms of dementia using proteomic data from multiple cohorts.

Genetic and Proteomic Investigation of the Smoking-Parkinson Disease Association

This study investigates the causal relationship between smoking and Parkinson's disease using genetic and proteomic data, identifying shared biological pathways and potential therapeutic targets.

Neurodegeneration risk variants promote lysosomal TMEM106B fibrilaccumulation

The paper identifies TMEM106B fibril accumulation as a shared mechanism in neurodegeneration linked to genetic variants in TMEM106B and GRN.

Structural variants linked to Alzheimer's Disease and other common age-related clinical and neuropathologic traits

The paper investigates structural variants (SVs) in AD/ADRD traits using whole genome sequencing data from two cohort studies, identifying SVs linked to disease phenotypes and suggesting new risk loci.

Large- Scale Deep Proteomic Analysis in Alzheimer's Disease Brain Regions Across Race and Ethnicity

The paper performs large-scale proteomic analysis of Alzheimer's disease brain regions across different racial and ethnic groups, identifying AD-related protein changes and APOE4 concordance with genotype.

The YTHDF proteins shape the brain gene signatures of Alzheimer's disease

This study identifies YTHDF proteins as key regulators of Alzheimer's disease brain gene signatures through m6A-dependent and independent mechanisms.

Genetic regulation of microRNAs in the older adult brain and their contribution to neuropsychiatric conditions

The paper identifies miR-QTLs in older adult brains and links four miRNAs to multiple neuropsychiatric and neurodegenerative diseases through integration with GWAS results.

SCAMPI: A scalable statistical framework for genome-wide interaction testing harnessing cross-trait correlations

SCAMPI detects SNP interactions across multiple traits by analyzing trait correlation patterns, improving power over univariate methods in lipid-related traits from UK Biobank data.

Bridging the Gap: Multi-Omics Profiling of Brain Tissue in Alzheimer's Disease and Older Controls in Multi-Ethnic Populations

This paper presents a multi-omics dataset from multi-ethnic Alzheimer's disease brain donors, including transcriptome, genome, and proteome data, to improve precision medicine for underrepresented populations.

A genome-wide investigation into the underlying genetic architecture of personality traits and overlap with psychopathology.

This study conducts a genome-wide association analysis of the Big Five personality traits, identifying novel genetic loci and associations with psychiatric traits.

Identifying latent genetic interactions in genome-wide association studies using multiple traits

This paper introduces LIT, a method to detect latent genetic interactions using multiple traits, showing improved power compared to univariate methods in obesity-related traits.

Epistatic Features and Machine Learning Improve Alzheimer's Risk Prediction Over Polygenic Risk Scores

This study develops a paragenic risk score that improves Alzheimer's disease risk prediction by incorporating epistatic interactions and machine learning, outperforming traditional polygenic risk scores.

Large-Scale Deep Multi-Layer Analysis of Alzheimer's Disease Brain Reveals Strong Proteomic Disease-Related Changes Not Observed at the RNA Level

The paper analyzes proteomic data from Alzheimer's disease brains, revealing disease-related changes not seen at the RNA level and identifying potential therapeutic targets.

Brain DNA Methylation Patterns in CLDN5 Associated With Cognitive Decline

The paper identifies DNA methylation in the CLDN5 locus as associated with cognitive decline, independent of neuropathology, suggesting a role for the blood-brain barrier in cognitive trajectory.

Multi-Tissue Neocortical Transcriptome-Wide Associations Study Implicates 8 Genes Across 6 Genomic Loci in Alzheimer's Disease

This paper identifies 8 genes across 6 genomic loci associated with Alzheimer's disease risk using transcriptome-wide association study and validates them with summary Mendelian randomization.

Genetic control of the human brain proteome

The paper identifies pQTLs for brain proteins and finds they differ from eQTLs, suggesting distinct genetic control of mRNA and protein abundance.

Association between DNA Methylation Levels in Brain Tissue and Late-Life Depression in Community-Based Participants

This study identifies DNA methylation loci associated with late-life depression in brain tissue, highlighting sex-specific differences.

Cerebral atherosclerosis contributes to Alzheimer’s dementia independently of its hallmark amyloid and tau pathologies

This study identifies 114 proteins and 5 modules linked to cerebral atherosclerosis in the brain, with 23 proteins and 2 modules also associated with Alzheimer’s dementia, highlighting shared mechanisms involving synaptic signaling and myelination.

A Consensus Proteomic Analysis of Alzheimer's Disease Brain and Cerebrospinal Fluid Reveals Early Changes in Energy Metabolism Associated with Microglia and Astrocyte Activation

The paper identifies protein network modules in Alzheimer's disease brains and cerebrospinal fluid that are associated with energy metabolism and neuroinflammation, suggesting potential biomarkers and therapeutic targets.

Brain microRNAs associated with late-life depressive symptoms are also associated with cognitive trajectory and dementia

The paper identifies brain microRNAs linked to late-life depressive symptoms and shows their association with cognitive decline and dementia risk.

TIGAR: An Improved Bayesian Tool for Transcriptomic Data Imputation Enhances Gene Mapping of Complex Traits

The paper introduces a Bayesian method for transcriptomic data imputation that improves gene mapping of complex traits by enhancing imputation accuracy and TWAS power over existing tools.

Large-scale proteomic analysis of human prefrontal cortex identifies proteins associated with cognitive trajectory in advanced age

The paper identifies 579 proteins associated with cognitive trajectory in aging using proteomic analysis of human prefrontal cortex, highlighting mitochondrial and synaptic processes linked to cognitive stability.

Bystro: rapid online variant annotation and natural-language filtering at whole-genome scale

Bystro provides rapid online variant annotation and natural-language filtering for large whole-genome sequencing experiments, significantly speeding up processing time.