TY - JOUR
KW - Gene expression
KW - Neurodevelopmental disorders
KW - Neurological disorders
AU - John F. Fullard
AU - Prashant Nm
AU - Donghoon Lee
AU - Deepika Mathur
AU - Karen Therrien
AU - Aram Hong
AU - Clara Casey
AU - Zhiping Shao
AU - Marcela Alvia
AU - Stathis Argyriou
AU - Tereza Clarence
AU - David Burstein
AU - Sanan Venkatesh
AU - Pavan K. Auluck
AU - Lisa L. Barnes
AU - David A. Bennett
AU - Stefano Marenco
AU - Kiran Girdhar
AU - Vahram Haroutunian
AU - Gabriel E. Hoffman
AU - Georgios Voloudakis
AU - Jaroslav Bendl
AU - Panos Roussos
AB - Neurodegenerative diseases and serious mental illnesses often exhibit overlapping characteristics, highlighting the potential for shared underlying mechanisms. To facilitate a deeper understanding of these diseases and pave the way for more effective treatments, we have generated a population-scale multi-omics dataset consisting of genotype and single-nucleus transcriptome data from the prefrontal cortex of frozen human brain specimens. Encompassing over 6.3 million nuclei from 1,494 donors, our dataset represents a diverse range of neurodegenerative and serious mental illnesses, including Alzheimer’s and Parkinson’s diseases, schizophrenia, bipolar disorder and diffuse Lewy body dementia, as well as neurotypical controls. Our dataset offers a unique opportunity to study disease interactions, as 21% of donors had comorbid diagnoses of two or more major brain disorders. Additionally, it includes detailed phenotypic information on neuropsychiatric symptoms, such as apathy and weight loss, which commonly accompany Alzheimer’s disease and related dementias. We have performed stringent preprocessing and quality controls, ensuring the reliability and usability of the data. As a commitment to fostering collaborative research, we provide this valuable resource as an online repository, enabling widespread analyses across the scientific community.
BT - Scientific Data
DA - 2025-06-06
DO - 10.1038/s41597-025-04687-5
IS - 1
LA - en
N2 - Neurodegenerative diseases and serious mental illnesses often exhibit overlapping characteristics, highlighting the potential for shared underlying mechanisms. To facilitate a deeper understanding of these diseases and pave the way for more effective treatments, we have generated a population-scale multi-omics dataset consisting of genotype and single-nucleus transcriptome data from the prefrontal cortex of frozen human brain specimens. Encompassing over 6.3 million nuclei from 1,494 donors, our dataset represents a diverse range of neurodegenerative and serious mental illnesses, including Alzheimer’s and Parkinson’s diseases, schizophrenia, bipolar disorder and diffuse Lewy body dementia, as well as neurotypical controls. Our dataset offers a unique opportunity to study disease interactions, as 21% of donors had comorbid diagnoses of two or more major brain disorders. Additionally, it includes detailed phenotypic information on neuropsychiatric symptoms, such as apathy and weight loss, which commonly accompany Alzheimer’s disease and related dementias. We have performed stringent preprocessing and quality controls, ensuring the reliability and usability of the data. As a commitment to fostering collaborative research, we provide this valuable resource as an online repository, enabling widespread analyses across the scientific community.
PY - 2025
EP - 954
T2 - Scientific Data
TI - Population-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution
UR - https://www.nature.com/articles/s41597-025-04687-5
VL - 12
Y2 - 2026-09-25
SN - 2052-4463
ER -