02590nas a2200457   4500000000100000000000100001008004100002260001500043653002000058653003300078653002700111100002000138700001600158700001700174700001900191700001900210700001400229700001600243700001700259700001800276700002100294700002000315700001900335700002000354700002000374700001900394700002100413700002000434700001800454700002300472700002300495700002400518700001900542700001800561245009900579856005500678300000800733490000700741520137000748022001402118       2025                            d  c2025-06-0610aGene expression10aNeurodevelopmental disorders10aNeurological disorders1 aJohn F. Fullard1 aPrashant Nm1 aDonghoon Lee1 aDeepika Mathur1 aKaren Therrien1 aAram Hong1 aClara Casey1 aZhiping Shao1 aMarcela Alvia1 aStathis Argyriou1 aTereza Clarence1 aDavid Burstein1 aSanan Venkatesh1 aPavan K. Auluck1 aLisa L. Barnes1 aDavid A. Bennett1 aStefano Marenco1 aKiran Girdhar1 aVahram Haroutunian1 aGabriel E. Hoffman1 aGeorgios Voloudakis1 aJaroslav Bendl1 aPanos Roussos00aPopulation-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution  uhttps://www.nature.com/articles/s41597-025-04687-5  a9540 v123 aNeurodegenerative 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.  a2052-4463