Neuroimaging transcriptomic analyses of Parkinson’s disease highlight molecular, cellular, and neurobiological mechanisms

Parkinson's disease is a debilitating disorder with a profound symptomatic burden. While genomic studies of PD have made advances in recent years, there remains a gap in our understanding of the relationship between PD genes and the neurologic changes involved in disease progression. In this work, we aim to characterize the mechanisms by which germline susceptibility variants affect gene expression and the downstream effects on neurobiology. We perform a transcriptome-wide association study of PD (N = 482,730) and identify 74 transcript-level associations with the disease. These findings derive from gene expression models trained in bulk tissue samples from 13 different brain regions, and 6 tissues with clinical relevance to the brain, including whole blood. We explore the resulting associations using eQTL colocalization, the chromatin-state discovery approach CoRE-BED, and our NeuroimaGene atlas of neuroimaging transcriptomics. In this work, we implicate enhancer disruption for STX1B and HIP1R in neurons and oligodendrocytes respectively in PD pathophysiology and show that reduced expression of PD risk genes broadly is predictive of cortical thinning and dysregulation of somatomotor circuitry.

Authors

Institutions

Publication Details

Journal
npj Parkinson s Disease
Published
2025-10-21
DOI
https://doi.org/10.1038/s41531-025-01149-y
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neuroimaging transcriptomic analyses of Parkinson’s disease highlight molecular, cellular, and neurobiological mechanisms

Michael J. Betti, Xavier Bledsoe, Eric R. Gamazon
npj Parkinson s Disease
Parkinson's Disease Mechanisms and Treatments
article

Neuroimaging transcriptomic analyses of Parkinson’s disease highlight molecular, cellular, and neurobiological mechanisms

Michael J. Betti, Xavier Bledsoe, Eric R. Gamazon
article en

Abstract

Parkinson's disease is a debilitating disorder with a profound symptomatic burden. While genomic studies of PD have made advances in recent years, there remains a gap in our understanding of the relationship between PD genes and the neurologic changes involved in disease progression. In this work, we aim to characterize the mechanisms by which germline susceptibility variants affect gene expression and the downstream effects on neurobiology. We perform a transcriptome-wide association study of PD (N = 482,730) and identify 74 transcript-level associations with the disease. These findings derive from gene expression models trained in bulk tissue samples from 13 different brain regions, and 6 tissues with clinical relevance to the brain, including whole blood. We explore the resulting associations using eQTL colocalization, the chromatin-state discovery approach CoRE-BED, and our NeuroimaGene atlas of neuroimaging transcriptomics. In this work, we implicate enhancer disruption for STX1B and HIP1R in neurons and oligodendrocytes respectively in PD pathophysiology and show that reduced expression of PD risk genes broadly is predictive of cortical thinning and dysregulation of somatomotor circuitry.

npj Parkinson s DiseaseVol. 11(1)
Vanderbilt University (US), Vanderbilt University Medical Center (US)
National Institutes of Health, National Institute on Aging, National Institute of Mental Health, National Human Genome Research Institute, National Institute of General Medical Sciences
Openalex Percentile: Top 57%
Parkinson's Disease Mechanisms and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.