A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research

• Published in: Scientific data Vol. 5; no. 1; p. 180142
• Main Authors: De Jager, Philip L., Ma, Yiyi, McCabe, Cristin, Xu, Jishu, Vardarajan, Badri N., Felsky, Daniel, Klein, Hans-Ulrich, White, Charles C., Peters, Mette A., Lodgson, Ben, Nejad, Parham, Tang, Anna, Mangravite, Lara M., Yu, Lei, Gaiteri, Chris, Mostafavi, Sara, Schneider, Julie A., Bennett, David A.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 07.08.2018; Nature Publishing Group
• Subjects: 631/1647/2210/2212; 631/1647/2210/2213; 631/1647/514/1948; 631/1647/514/1949; 692/699/375/132/1283; Acetylation; Aged; Aged, 80 and over; Aging; Alzheimer Disease - genetics; Alzheimer Disease - physiopathology; Alzheimer's disease; Chromatin; Chromatin Immunoprecipitation; Cognitive ability; Cortex (frontal); Data Descriptor; Dementia disorders; DNA Methylation; DNA sequencing; Female; Frontal Lobe - physiology; Genome, Human; Genomes; Genotypes; Humanities and Social Sciences; Humans; Immunoprecipitation; Lysine; Male; Memory; Metabolome; Metabolomics; miRNA; multidisciplinary; Nervous system; Neurodegenerative diseases; Phenotypes; Phenotyping; Prefrontal cortex; Proteomics; Science; Sequence Analysis, RNA
• ISSN: 2052-4463; 2052-4463
• DOI: 10.1038/sdata.2018.142

We initiated the systematic profiling of the dorsolateral prefrontal cortex obtained from a subset of autopsied individuals enrolled in the Religious Orders Study (ROS) or the Rush Memory and Aging Project (MAP), which are jointly designed prospective studies of aging and dementia with detailed, longitudinal cognitive phenotyping during life and a quantitative, structured neuropathologic examination after death. They include over 3,322 subjects. Here, we outline the first generation of data including genome-wide genotypes ( n =2,090), whole genome sequencing ( n =1,179), DNA methylation ( n =740), chromatin immunoprecipitation with sequencing using an anti-Histone 3 Lysine 9 acetylation (H3K9Ac) antibody ( n =712), RNA sequencing ( n =638), and miRNA profile ( n =702). Generation of other omic data including ATACseq, proteomic and metabolomics profiles is ongoing. Thanks to its prospective design and recruitment of older, non-demented individuals, these data can be repurposed to investigate a large number of syndromic and quantitative neuroscience phenotypes. The many subjects that are cognitively non-impaired at death also offer insights into the biology of the human brain in older non-impaired individuals. Design Type(s) disease state design • individual genetic characteristics comparison design Measurement Type(s) genetic sequence variation analysis • whole genome sequencing • transcription profiling assay • microRNA profiling assay • transcription factor binding site identification • DNA residue methylation Technology Type(s) DNA microarray • DNA sequencing • RNA sequencing • Bar-Seq • ChIP-seq assay • DNA methylation profiling assay Factor Type(s) tissue Sample Characteristic(s) Homo sapiens • lymphocyte • blood • dorsolateral prefrontal cortex • brain Machine-accessible metadata file describing the reported data (ISA-Tab format)