{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,17]],"date-time":"2026-10-17T16:26:58Z","timestamp":1792254418493,"version":"4.4.0"},"reference-count":57,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T00:00:00Z","timestamp":1533600000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T00:00:00Z","timestamp":1533600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Sci Data"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    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                    <jats:italic>n<\/jats:italic>\n                    =2,090), whole genome sequencing (\n                    <jats:italic>n<\/jats:italic>\n                    =1,179), DNA methylation (\n                    <jats:italic>n<\/jats:italic>\n                    =740), chromatin immunoprecipitation with sequencing using an anti-Histone 3 Lysine 9 acetylation (H3K9Ac) antibody (\n                    <jats:italic>n<\/jats:italic>\n                    =712), RNA sequencing (\n                    <jats:italic>n<\/jats:italic>\n                    =638), and miRNA profile (\n                    <jats:italic>n<\/jats:italic>\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.\n                  <\/jats:p>","DOI":"10.1038\/sdata.2018.142","type":"journal-article","created":{"date-parts":[[2018,8,7]],"date-time":"2018-08-07T09:10:08Z","timestamp":1533633008000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":590,"title":["A multi-omic atlas of the human frontal cortex for aging and Alzheimer\u2019s disease research"],"prefix":"10.1038","volume":"5","author":[{"given":"Philip L.","family":"De Jager","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3609-8877","authenticated-orcid":false,"given":"Yiyi","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristin","family":"McCabe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jishu","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Badri N.","family":"Vardarajan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Felsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hans-Ulrich","family":"Klein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles C.","family":"White","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mette A.","family":"Peters","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0572-2569","authenticated-orcid":false,"given":"Ben","family":"Lodgson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Parham","family":"Nejad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anna","family":"Tang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7841-3612","authenticated-orcid":false,"given":"Lara M.","family":"Mangravite","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chris","family":"Gaiteri","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sara","family":"Mostafavi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie A.","family":"Schneider","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"David A.","family":"Bennett","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,8,7]]},"reference":[{"key":"BFsdata2018142_CR1","doi-asserted-by":"publisher","first-page":"713","DOI":"10.3233\/JAD-160276","volume":"53","author":"MA Hird","year":"2016","unstructured":"Hird, M. A., Egeto, P., Fischer, C. E., Naglie, G. & Schweizer, T. A. A Systematic Review and Meta-Analysis of On-Road Simulator and Cognitive Driving Assessment in Alzheimer's Disease and Mild Cognitive Impairment. Journal of Alzheimer's disease: JAD 53, 713\u2013729 (2016).","journal-title":"Journal of Alzheimer's disease: JAD"},{"key":"BFsdata2018142_CR2","first-page":"16107","volume":"8","author":"XM Guo","year":"2015","unstructured":"Guo, X. M., Liu, H. & Qian, J. Daily iron supplementation on cognitive performance in primary-school-aged children with and without anemia: a meta-analysis. International journal of clinical and experimental medicine 8, 16107\u201316111 (2015).","journal-title":"International journal of clinical and experimental medicine"},{"key":"BFsdata2018142_CR3","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1037\/neu0000159","volume":"29","author":"L Yu","year":"2015","unstructured":"Yu, L. et al. Residual decline in cognition after adjustment for common neuropathologic conditions. Neuropsychology 29, 335\u2013343 (2015).","journal-title":"Neuropsychology"},{"key":"BFsdata2018142_CR4","doi-asserted-by":"publisher","first-page":"e1002287","DOI":"10.1371\/journal.pmed.1002287","volume":"14","author":"CC White","year":"2017","unstructured":"White, C. C. et al. Identification of genes associated with dissociation of cognitive performance and neuropathological burden: Multistep analysis of genetic, epigenetic, and transcriptional data. PLoS Med 14, e1002287 (2017).","journal-title":"PLoS Med"},{"key":"BFsdata2018142_CR5","doi-asserted-by":"publisher","first-page":"39589","DOI":"10.1038\/srep39589","volume":"6","author":"JT Kaplan","year":"2016","unstructured":"Kaplan, J. T., Gimbel, S. I. & Harris, S. Neural correlates of maintaining one's political beliefs in the face of counterevidence. Sci Rep 6, 39589 (2016).","journal-title":"Sci Rep"},{"key":"BFsdata2018142_CR6","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1097\/NEN.0b013e318232a379","volume":"70","author":"H Braak","year":"2011","unstructured":"Braak, H., Thal, D. R., Ghebremedhin, E. & Del Tredici, K. Stages of the pathologic process in Alzheimer disease: age categories from 1 to 100 years. J Neuropathol Exp Neurol 70, 960\u2013969 (2011).","journal-title":"J Neuropathol Exp Neurol"},{"key":"BFsdata2018142_CR7","doi-asserted-by":"crossref","first-page":"93196","DOI":"10.18632\/oncotarget.21475","volume":"8","author":"HR Ma","year":"2017","unstructured":"Ma, H. R. et al. Aberrant pattern of regional cerebral blood flow in Alzheimer's disease: a voxel-wise meta-analysis of arterial spin labeling MR imaging studies. Oncotarget 8, 93196\u201393208 (2017).","journal-title":"Oncotarget"},{"key":"BFsdata2018142_CR8","doi-asserted-by":"crossref","unstructured":"Alcala-Lozano, R. et al. Similar clinical improvement and maintenance after rTMS at 5\u2009Hz using a simple vs. complex protocol in Alzheimer's disease. Brain Stimul 8, 625\u2013627 (2017).","DOI":"10.1016\/j.brs.2017.12.011"},{"key":"BFsdata2018142_CR9","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1016\/j.neulet.2010.05.092","volume":"479","author":"M Fan","year":"2010","unstructured":"Fan, M. et al. Cortical thickness is associated with different apolipoprotein E genotypes in healthy elderly adults. Neurosci Lett 479, 332\u2013336 (2010).","journal-title":"Neurosci Lett"},{"key":"BFsdata2018142_CR10","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1016\/j.jalz.2016.02.006","volume":"12","author":"GI Allen","year":"2016","unstructured":"Allen, G. I. et al. Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimers Dement 12, 645\u2013653 (2016).","journal-title":"Alzheimers Dement"},{"key":"BFsdata2018142_CR11","doi-asserted-by":"publisher","first-page":"628","DOI":"10.2174\/156720512801322573","volume":"9","author":"DA Bennett","year":"2012","unstructured":"Bennett, D. A., Schneider, J. A., Arvanitakis, Z. & Wilson, R. S. Overview and findings from the religious orders study. Curr Alzheimer Res 9, 628\u2013645 (2012).","journal-title":"Curr Alzheimer Res"},{"key":"BFsdata2018142_CR12","doi-asserted-by":"publisher","first-page":"646","DOI":"10.2174\/156720512801322663","volume":"9","author":"DA Bennett","year":"2012","unstructured":"Bennett, D. A. et al. Overview and findings from the rush Memory and Aging Project. Curr Alzheimer Res 9, 646\u2013663 (2012).","journal-title":"Curr Alzheimer Res"},{"key":"BFsdata2018142_CR13","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1097\/00005072-199911000-00004","volume":"58","author":"KL Newell","year":"1999","unstructured":"Newell, K. L., Hyman, B. T., Growdon, J. H. & Hedley-Whyte, E. T. Application of the National Institute on Aging (NIA)-Reagan Institute criteria for the neuropathological diagnosis of Alzheimer disease. Journal of neuropathology and experimental neurology 58, 1147\u20131155 (1999).","journal-title":"Journal of neuropathology and experimental neurology"},{"key":"BFsdata2018142_CR14","doi-asserted-by":"publisher","first-page":"2197","DOI":"10.1212\/01.wnl.0000271090.28148.24","volume":"69","author":"JA Schneider","year":"2007","unstructured":"Schneider, J. A., Arvanitakis, Z., Bang, W. & Bennett, D. A. Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology 69, 2197\u20132204 (2007).","journal-title":"Neurology"},{"key":"BFsdata2018142_CR15","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1086\/519795","volume":"81","author":"S Purcell","year":"2007","unstructured":"Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet 81, 559\u2013575 (2007).","journal-title":"Am J Hum Genet"},{"key":"BFsdata2018142_CR16","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1038\/ng1847","volume":"38","author":"AL Price","year":"2006","unstructured":"Price, A. L. et al. Principal components analysis corrects for stratification in genome-wide association studies. Nature genetics 38, 904\u2013909 (2006).","journal-title":"Nature genetics"},{"key":"BFsdata2018142_CR17","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1001\/jamaneurol.2013.2815","volume":"70","author":"JM Shulman","year":"2013","unstructured":"Shulman, J. M. et al. Genetic susceptibility for Alzheimer disease neuritic plaque pathology. JAMA Neurol 70, 1150\u20131157 (2013).","journal-title":"JAMA Neurol"},{"key":"BFsdata2018142_CR18","doi-asserted-by":"publisher","first-page":"e1011","DOI":"10.1016\/j.neurobiolaging.2011.09.033","volume":"33","author":"PL De Jager","year":"2012","unstructured":"De Jager, P. L. et al. A genome-wide scan for common variants affecting the rate of age-related cognitive decline. Neurobiol Aging 33, 1017 e1011\u2013e1015 (2012).","journal-title":"Neurobiol Aging"},{"key":"BFsdata2018142_CR19","doi-asserted-by":"publisher","first-page":"1754","DOI":"10.1093\/bioinformatics\/btp324","volume":"25","author":"H Li","year":"2009","unstructured":"Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754\u20131760 (2009).","journal-title":"Bioinformatics"},{"key":"BFsdata2018142_CR20","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1101\/gr.107524.110","volume":"20","author":"A McKenna","year":"2010","unstructured":"McKenna, A. et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome research 20, 1297\u20131303 (2010).","journal-title":"Genome research"},{"key":"BFsdata2018142_CR21","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1038\/ng.806","volume":"43","author":"MA DePristo","year":"2011","unstructured":"DePristo, M. A. et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet 43, 491\u2013498 (2011).","journal-title":"Nat Genet"},{"key":"BFsdata2018142_CR22","doi-asserted-by":"publisher","first-page":"e164","DOI":"10.1093\/nar\/gkq603","volume":"38","author":"K Wang","year":"2010","unstructured":"Wang, K., Li, M. & Hakonarson, H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic acids research 38, e164 (2010).","journal-title":"Nucleic acids research"},{"issue":"Unit7","key":"BFsdata2018142_CR23","first-page":"20","volume":"Chapter 7","author":"I Adzhubei","year":"2013","unstructured":"Adzhubei, I., Jordan, D. M. & Sunyaev, S. R. Predicting functional effect of human missense mutations using PolyPhen-2. Current protocols in human genetics \/ editorial board, Jonathan L. Haines... [et al] Chapter 7 (Unit7): 20 (2013).","journal-title":"Current protocols in human genetics \/ editorial board, Jonathan L. Haines... [et al]"},{"key":"BFsdata2018142_CR24","doi-asserted-by":"publisher","first-page":"1073","DOI":"10.1038\/nprot.2009.86","volume":"4","author":"P Kumar","year":"2009","unstructured":"Kumar, P., Henikoff, S. & Ng, P. C. Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nature protocols 4, 1073\u20131081 (2009).","journal-title":"Nature protocols"},{"key":"BFsdata2018142_CR25","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1101\/gr.3577405","volume":"15","author":"GM Cooper","year":"2005","unstructured":"Cooper, G. M. et al. Distribution and intensity of constraint in mammalian genomic sequence. Genome research 15, 901\u2013913 (2005).","journal-title":"Genome research"},{"key":"BFsdata2018142_CR26","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1101\/gr.3715005","volume":"15","author":"A Siepel","year":"2005","unstructured":"Siepel, A. et al. Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes. Genome research 15, 1034\u20131050 (2005).","journal-title":"Genome research"},{"key":"BFsdata2018142_CR27","doi-asserted-by":"publisher","first-page":"588","DOI":"10.1086\/514346","volume":"80","author":"VA McKusick","year":"2007","unstructured":"McKusick, V. A. Mendelian Inheritance in Man and its online version, OMIM. Am J Hum Genet 80, 588\u2013604 (2007).","journal-title":"Am J Hum Genet"},{"key":"BFsdata2018142_CR28","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1002\/humu.10212","volume":"21","author":"PD Stenson","year":"2003","unstructured":"Stenson, P. D. et al. Human Gene Mutation Database (HGMD): 2003 update. Human mutation 21, 577\u2013581 (2003).","journal-title":"Human mutation"},{"key":"BFsdata2018142_CR29","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1016\/j.expneurol.2008.08.010","volume":"214","author":"JK Wasserman","year":"2008","unstructured":"Wasserman, J. K. & Schlichter, L. C. White matter injury in young and aged rats after intracerebral hemorrhage. Exp Neurol 214, 266\u2013275 (2008).","journal-title":"Exp Neurol"},{"key":"BFsdata2018142_CR30","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1038\/nmeth.1491","volume":"7","author":"JZ Levin","year":"2010","unstructured":"Levin, J. Z. et al. Comprehensive comparative analysis of strand-specific RNA sequencing methods. Nature methods 7, 709\u2013715 (2010).","journal-title":"Nature methods"},{"key":"BFsdata2018142_CR31","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1038\/nprot.2012.016","volume":"7","author":"C Trapnell","year":"2012","unstructured":"Trapnell, C. et al. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc 7, 562\u2013578 (2012).","journal-title":"Nat Protoc"},{"key":"BFsdata2018142_CR32","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1186\/1471-2105-12-323","volume":"12","author":"B Li","year":"2011","unstructured":"Li, B. & Dewey, C. N. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome. BMC Bioinformatics 12, 323 (2011).","journal-title":"BMC Bioinformatics"},{"key":"BFsdata2018142_CR33","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1093\/biostatistics\/kxj037","volume":"8","author":"WE Johnson","year":"2007","unstructured":"Johnson, W. E., Li, C. & Rabinovic, A. Adjusting batch effects in microarray expression data using empirical Bayes methods. Biostatistics 8, 118\u2013127 (2007).","journal-title":"Biostatistics"},{"key":"BFsdata2018142_CR34","doi-asserted-by":"publisher","first-page":"1156","DOI":"10.1038\/nn.3786","volume":"17","author":"PL De Jager","year":"2014","unstructured":"De Jager, P. L. et al. Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci. Nat Neurosci 17, 1156\u20131163 (2014).","journal-title":"Nat Neurosci"},{"key":"BFsdata2018142_CR35","doi-asserted-by":"publisher","first-page":"203","DOI":"10.4161\/epi.23470","volume":"8","author":"YA Chen","year":"2013","unstructured":"Chen, Y. A. et al. Discovery of cross-reactive probes and polymorphic CpGs in the Illumina Infinium HumanMethylation450 microarray. Epigenetics 8, 203\u2013209 (2013).","journal-title":"Epigenetics"},{"key":"BFsdata2018142_CR36","doi-asserted-by":"publisher","first-page":"290","DOI":"10.4161\/epi.23924","volume":"8","author":"J Guintivano","year":"2013","unstructured":"Guintivano, J., Aryee, M. J. & Kaminsky, Z. A. A cell epigenotype specific model for the correction of brain cellular heterogeneity bias and its application to age, brain region and major depression. Epigenetics 8, 290\u2013302 (2013).","journal-title":"Epigenetics"},{"issue":"Suppl 1","key":"BFsdata2018142_CR37","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1590\/S0102-86502016001300004","volume":"31","author":"AL Almeida","year":"2016","unstructured":"Almeida, A. L. et al. Serological under expression of microRNA-21, microRNA-34a and microRNA-126 in colorectal cancer. Acta Cir Bras 31 (Suppl 1): 13\u201318 (2016).","journal-title":"Acta Cir Bras"},{"key":"BFsdata2018142_CR38","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1007\/s12031-014-0476-3","volume":"56","author":"MJ Kacperska","year":"2015","unstructured":"Kacperska, M. J. et al. Selected extracellular microRNA as potential biomarkers of multiple sclerosis activity--preliminary study. J Mol Neurosci 56, 154\u2013163 (2015).","journal-title":"J Mol Neurosci"},{"key":"BFsdata2018142_CR39","doi-asserted-by":"publisher","first-page":"1568","DOI":"10.3390\/molecules19021568","volume":"19","author":"Q Ge","year":"2014","unstructured":"Ge, Q. et al. miRNA in plasma exosome is stable under different storage conditions. Molecules 19, 1568\u20131575 (2014).","journal-title":"Molecules"},{"key":"BFsdata2018142_CR40","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1177\/0004563213501155","volume":"51","author":"J Yu","year":"2014","unstructured":"Yu, J. et al. miR-202 expression concentration and its clinical significance in the serum of multiple myeloma patients. Ann Clin Biochem 51, 543\u2013549 (2014).","journal-title":"Ann Clin Biochem"},{"key":"BFsdata2018142_CR41","first-page":"430","volume":"19","author":"M Ragusa","year":"2013","unstructured":"Ragusa, M et al. MicroRNAs in vitreus humor from patients with ocular diseases. Mol Vis 19, 430\u2013440 (2013).","journal-title":"Mol Vis"},{"key":"BFsdata2018142_CR42","doi-asserted-by":"publisher","first-page":"14","DOI":"10.2174\/2211536611302010003","volume":"2","author":"CL Glynn","year":"2013","unstructured":"Glynn, C. L., Khan, S., Kerin, M. J. & Dwyer, R. M. Isolation of secreted microRNAs (miRNAs) from cell-conditioned media. Microrna 2, 14\u201319 (2013).","journal-title":"Microrna"},{"key":"BFsdata2018142_CR43","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1111\/acel.12468","volume":"15","author":"AM Matteini","year":"2016","unstructured":"Matteini, A. M. et al. GWAS analysis of handgrip and lower body strength in older adults in the CHARGE consortium. Aging Cell 15, 792\u2013800 (2016).","journal-title":"Aging Cell"},{"key":"BFsdata2018142_CR44","doi-asserted-by":"publisher","first-page":"13624","DOI":"10.1038\/ncomms13624","volume":"8","author":"DP Hibar","year":"2017","unstructured":"Hibar, D. P. et al. Novel genetic loci associated with hippocampal volume. Nat Commun 8, 13624 (2017).","journal-title":"Nat Commun"},{"key":"BFsdata2018142_CR45","doi-asserted-by":"publisher","first-page":"1373","DOI":"10.1038\/ng.3916","volume":"49","author":"R Sims","year":"2017","unstructured":"Sims, R. et al. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet 49, 1373\u20131384 (2017).","journal-title":"Nat Genet"},{"key":"BFsdata2018142_CR46","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1016\/j.biocel.2015.05.009","volume":"67","author":"J Yang","year":"2015","unstructured":"Yang, J. et al. Association of DNA methylation in the brain with age in older persons is confounded by common neuropathologies. Int J Biochem Cell Biol 67, 58\u201364 (2015).","journal-title":"Int J Biochem Cell Biol"},{"key":"BFsdata2018142_CR47","doi-asserted-by":"publisher","first-page":"14931","DOI":"10.1038\/ncomms14931","volume":"8","author":"AS Lim","year":"2017","unstructured":"Lim, A. S. et al. Diurnal and seasonal molecular rhythms in human neocortex and their relation to Alzheimer's disease. Nat Commun 8, 14931 (2017).","journal-title":"Nat Commun"},{"key":"BFsdata2018142_CR48","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn2580853 (2016)","DOI":"10.7303\/syn2580853"},{"key":"BFsdata2018142_CR49","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn3219045 (2016)","DOI":"10.7303\/syn3219045"},{"key":"BFsdata2018142_CR50","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn3157322 (2016)","DOI":"10.7303\/syn3157322"},{"key":"BFsdata2018142_CR51","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn3157325 (2016)","DOI":"10.7303\/syn3157325"},{"key":"BFsdata2018142_CR52","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn3157329 (2016)","DOI":"10.7303\/syn3157329"},{"key":"BFsdata2018142_CR53","doi-asserted-by":"publisher","year":"2017","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn10901595 (2017)","DOI":"10.7303\/syn10901595"},{"key":"BFsdata2018142_CR54","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn3388564 (2016)","DOI":"10.7303\/syn3388564"},{"key":"BFsdata2018142_CR55","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn3387325 (2016)","DOI":"10.7303\/syn3387325"},{"key":"BFsdata2018142_CR56","doi-asserted-by":"publisher","year":"2016","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn4896408 (2016)","DOI":"10.7303\/syn4896408"},{"key":"BFsdata2018142_CR57","doi-asserted-by":"publisher","year":"2017","unstructured":"Synapse https:\/\/doi.org\/10.7303\/syn3157275 (2017)","DOI":"10.7303\/syn3157275"}],"container-title":["Scientific Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/sdata2018142.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/sdata2018142","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/www.nature.com\/articles\/sdata2018142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/www.nature.com\/articles\/sdata2018142.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,20]],"date-time":"2022-12-20T19:30:09Z","timestamp":1671564609000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/sdata2018142"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,7]]},"references-count":57,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2018,12,18]]}},"alternative-id":["BFsdata2018142"],"URL":"https:\/\/doi.org\/10.1038\/sdata.2018.142","relation":{"references":[{"id-type":"doi","id":"10.7303\/syn2580853","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn3219045","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn3157322","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn3157325","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn3157329","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn10901595","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn3388564","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn3387325","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn4896408","asserted-by":"subject"},{"id-type":"doi","id":"10.7303\/syn3157275","asserted-by":"subject"}],"has-preprint":[{"id-type":"doi","id":"10.1101\/251967","asserted-by":"object"}],"has-review":[{"id-type":"doi","id":"10.3410\/f.733770688.793550691","asserted-by":"object"}]},"ISSN":["2052-4463"],"issn-type":[{"value":"2052-4463","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,7]]},"assertion":[{"value":"29 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 April 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 August 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"180142"}}