{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T03:47:46Z","timestamp":1791604066435,"version":"4.3.4"},"reference-count":114,"publisher":"Impact Journals, LLC","issue":"22","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Aging"],"published-print":{"date-parts":[[2024,12,31]]},"DOI":"10.18632\/aging.206184","type":"journal-article","created":{"date-parts":[[2024,12,29]],"date-time":"2024-12-29T23:12:42Z","timestamp":1735513962000},"page":"13452-13504","source":"Crossref","is-referenced-by-count":40,"title":["Cell-type specific epigenetic clocks to quantify biological age at cell-type resolution"],"prefix":"10.18632","volume":"16","author":[{"given":"Huige","family":"Tong","sequence":"first","affiliation":[{"name":"CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institute for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaolong","family":"Guo","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institute for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Macsue","family":"Jacques","sequence":"additional","affiliation":[{"name":"Australian Regenerative Medicine Institute (ARMI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria 3800, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Luo","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institute for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nir","family":"Eynon","sequence":"additional","affiliation":[{"name":"Australian Regenerative Medicine Institute (ARMI), Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria 3800, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew E.","family":"Teschendorff","sequence":"additional","affiliation":[{"name":"CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institute for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"7892","published-online":{"date-parts":[[2024,12,29]]},"reference":[{"key":"1","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1016\/0531-5565(88)90025-3","article-title":"Biomarkers of aging.","volume":"2","author":"Sprott","year":"1988","journal-title":"Exp Gerontol"},{"key":"2","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1016\/j.cell.2005.01.030","article-title":"The future of aging therapies.","volume":"12","author":"Hodes","year":"2005","journal-title":"Cell"},{"key":"3","doi-asserted-by":"publisher","first-page":"573","DOI":"10.18632\/aging.101414","article-title":"An epigenetic biomarker of aging for lifespan and healthspan.","volume":"1","author":"Reiner","year":"2018","journal-title":"Aging (Albany NY)"},{"key":"4","doi-asserted-by":"publisher","first-page":"3758","DOI":"10.1016\/j.cell.2023.08.003","article-title":"Biomarkers of aging for the identification and evaluation of longevity interventions.","volume":"18","author":"Fleming","year":"2023","journal-title":"Cell"},{"key":"5","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1038\/nbt1010-1026","article-title":"Taking the measure of the methylome.","volume":"2","author":"Beck","year":"2010","journal-title":"Nat Biotechnol"},{"key":"6","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1007\/s00018-024-05206-2","article-title":"Epigenomic insights into common human disease pathology.","volume":"8","author":"Bell","year":"2024","journal-title":"Cell Mol Life Sci"},{"key":"7","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1038\/s41576-022-00477-6","article-title":"Making sense of the ageing methylome.","volume":"2","author":"Voisin","year":"2022","journal-title":"Nat Rev Genet"},{"key":"8","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1038\/s41576-018-0004-3","article-title":"DNA methylation-based biomarkers and the epigenetic clock theory of ageing.","volume":"1","author":"Raj","year":"2018","journal-title":"Nat Rev Genet"},{"key":"9","doi-asserted-by":"publisher","first-page":"882","DOI":"10.1016\/j.molcel.2018.08.008","article-title":"DNA Methylation Clocks in Aging: Categories, Causes, and Consequences.","volume":"7","author":"Adams","year":"2018","journal-title":"Mol Cell"},{"key":"10","doi-asserted-by":"publisher","first-page":"249","DOI":"10.1186\/s13059-019-1824-y","article-title":"DNA methylation aging clocks: challenges and recommendations.","volume":"2","author":"Kelsey","year":"2019","journal-title":"Genome Biol"},{"key":"11","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1186\/s13073-019-0667-1","article-title":"Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing.","volume":"1","author":"Halliday","year":"2019","journal-title":"Genome Med"},{"key":"12","doi-asserted-by":"publisher","first-page":"303","DOI":"10.18632\/aging.101684","article-title":"DNA methylation GrimAge strongly predicts lifespan and healthspan.","volume":"1","author":"Horvath","year":"2019","journal-title":"Aging (Albany NY)"},{"key":"13","doi-asserted-by":"publisher","first-page":"690","DOI":"10.18632\/aging.100809","article-title":"DNA methylation age of blood predicts future onset of lung cancer in the women's health initiative.","volume":"7","author":"Horvath","year":"2015","journal-title":"Aging (Albany NY)"},{"key":"14","doi-asserted-by":"publisher","first-page":"9327","DOI":"10.1073\/pnas.1604558113","article-title":"Menopause accelerates biological aging.","volume":"11","author":"Wong","year":"2016","journal-title":"Proc Natl Acad Sci U S A"},{"key":"15","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1186\/s13059-015-0584-6","article-title":"DNA methylation age of blood predicts all-cause mortality in later life.","volume":"1","author":"Murphy","year":"2015","journal-title":"Genome Biol"},{"key":"16","doi-asserted-by":"publisher","first-page":"1388","DOI":"10.1093\/ije\/dyu277","article-title":"The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936.","volume":"4","author":"Murphy","year":"2015","journal-title":"Int J Epidemiol"},{"key":"17","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1038\/s41588-023-01627-0","article-title":"Distinguishing between driver and passenger mechanisms of aging.","volume":"5","author":"de Magalh\u00e3es","year":"2024","journal-title":"Nat Genet"},{"key":"18","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1038\/nrg.2017.86","article-title":"Statistical and integrative system-level analysis of DNA methylation data.","volume":"1","author":"Relton","year":"2018","journal-title":"Nat Rev Genet"},{"key":"19","doi-asserted-by":"publisher","first-page":"R31","DOI":"10.1186\/gb-2014-15-2-r31","article-title":"Accounting for cellular heterogeneity is critical in epigenome-wide association studies.","volume":"1","author":"Irizarry","year":"2014","journal-title":"Genome Biol"},{"key":"20","doi-asserted-by":"publisher","first-page":"e14071","DOI":"10.1111\/acel.14071","article-title":"Deciphering the role of immune cell composition in epigenetic age acceleration: Insights from cell-type deconvolution applied to human blood epigenetic clocks.","volume":"2","author":"Salas","year":"2024","journal-title":"Aging Cell"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s11357-024-01287-w","article-title":"Biological aging of different blood cell types.","author":"Kananen","year":"2024","journal-title":"Geroscience"},{"key":"22","doi-asserted-by":"publisher","first-page":"934","DOI":"10.1038\/s42003-024-06609-4","article-title":"Development of an epigenetic clock resistant to changes in immune cell composition.","volume":"7","author":"Verdin","year":"2024","journal-title":"Commun Biol"},{"key":"23","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/s13059-021-02585-8","article-title":"Functional genomics analysis identifies T and NK cell activation as a driver of epigenetic clock progression.","volume":"2","author":"Heijmans","year":"2022","journal-title":"Genome Biol"},{"key":"24","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1186\/s13073-023-01211-5","article-title":"A meta-analysis of immune-cell fractions at high resolution reveals novel associations with common phenotypes and health outcomes.","volume":"1","author":"Mendez","year":"2023","journal-title":"Genome Med"},{"key":"25","doi-asserted-by":"publisher","first-page":"3244","DOI":"10.1038\/s41467-023-39017-z","article-title":"Cell-attribute aware community detection improves differential abundance testing from single-cell RNA-Seq data.","volume":"1","author":"Teschendorff","year":"2023","journal-title":"Nat Commun"},{"key":"26","doi-asserted-by":"publisher","first-page":"925","DOI":"10.2217\/epi-2018-0037","article-title":"A novel cell-type deconvolution algorithm reveals substantial contamination by immune cells in saliva, buccal and cervix.","volume":"1","author":"Teschendorff","year":"2018","journal-title":"Epigenomics"},{"key":"27","doi-asserted-by":"publisher","first-page":"22","DOI":"10.3324\/haematol.2018.211342","article-title":"Understanding intrinsic hematopoietic stem cell aging.","volume":"10","author":"Florian","year":"2020","journal-title":"Haematologica"},{"key":"28","doi-asserted-by":"publisher","first-page":"R115","DOI":"10.1186\/gb-2013-14-10-r115","article-title":"DNA methylation age of human tissues and cell types.","volume":"1","author":"Horvath","year":"2013","journal-title":"Genome Biol"},{"key":"29","doi-asserted-by":"publisher","first-page":"1198","DOI":"10.18632\/aging.100864","article-title":"Epigenetic age of the pre-frontal cortex is associated with neuritic plaques, amyloid load, and Alzheimer's disease related cognitive functioning.","volume":"7","author":"Horvath","year":"2015","journal-title":"Aging (Albany NY)"},{"key":"30","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1007\/s13365-015-0406-3","article-title":"Accelerated epigenetic aging in brain is associated with pre-mortem HIV-associated neurocognitive disorders.","volume":"2","author":"Horvath","year":"2016","journal-title":"J Neurovirol"},{"key":"31","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1097\/QAI.0000000000000069","article-title":"Genetic, transcriptomic, and epigenetic studies of HIV-associated neurocognitive disorder.","volume":"6","author":"Horvath","year":"2014","journal-title":"J Acquir Immune Defic Syndr"},{"key":"32","doi-asserted-by":"publisher","first-page":"10561","DOI":"10.1038\/ncomms10561","article-title":"Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum.","volume":"7","author":"Horvath","year":"2016","journal-title":"Nat Commun"},{"key":"33","doi-asserted-by":"publisher","first-page":"15353","DOI":"10.1038\/ncomms15353","article-title":"Genetic architecture of epigenetic and neuronal ageing rates in human brain regions.","volume":"8","author":"Horvath","year":"2017","journal-title":"Nat Commun"},{"key":"34","doi-asserted-by":"publisher","first-page":"e12872","DOI":"10.1111\/nan.12872","article-title":"Epigenetic age acceleration is associated with oligodendrocyte proportions in MSA and control brain tissue.","volume":"4","author":"Bettencourt","year":"2023","journal-title":"Neuropathol Appl Neurobiol"},{"key":"35","doi-asserted-by":"publisher","first-page":"5620","DOI":"10.1038\/s41467-022-33394-7","article-title":"DNA methylation signatures of Alzheimer's disease neuropathology in the cortex are primarily driven by variation in non-neuronal cell-types.","volume":"1","author":"Brookes","year":"2022","journal-title":"Nat Commun"},{"key":"36","doi-asserted-by":"publisher","first-page":"3763","DOI":"10.1093\/brain\/awaa334","article-title":"Recalibrating the epigenetic clock: implications for assessing biological age in the human cortex.","volume":"14","author":"Schalkwyk","year":"2020","journal-title":"Brain"},{"key":"37","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1038\/s41580-022-00510-w","article-title":"Ageing and rejuvenation of tissue stem cells and their niches.","volume":"2","author":"Rando","year":"2023","journal-title":"Nat Rev Mol Cell Biol"},{"key":"38","doi-asserted-by":"publisher","first-page":"e13578","DOI":"10.1111\/acel.13578","article-title":"Multi-omic rejuvenation of naturally aged tissues by a single cycle of transient reprogramming.","volume":"2","author":"Prats","year":"2022","journal-title":"Aging Cell"},{"key":"39","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/j.tibtech.2022.01.011","article-title":"Cellular reprogramming and the rise of rejuvenation biotech.","volume":"4","author":"Ocampo","year":"2022","journal-title":"Trends Biotechnol"},{"key":"40","doi-asserted-by":"publisher","first-page":"e71624","DOI":"10.7554\/eLife.71624","article-title":"Multi-omic rejuvenation of human cells by maturation phase transient reprogramming.","volume":"1","author":"Reik","year":"2022","journal-title":"Elife"},{"key":"41","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1186\/s13059-017-1185-3","article-title":"Diverse interventions that extend mouse lifespan suppress shared age-associated epigenetic changes at critical gene regulatory regions.","volume":"1","author":"Adams","year":"2017","journal-title":"Genome Biol"},{"key":"42","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1186\/s13059-017-1186-2","article-title":"Epigenetic aging signatures in mice livers are slowed by dwarfism, calorie restriction and rapamycin treatment.","volume":"1","author":"Ideker","year":"2017","journal-title":"Genome Biol"},{"key":"43","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1038\/s43587-021-00134-3","article-title":"Profiling epigenetic age in single cells.","volume":"1","author":"Gladyshev","year":"2021","journal-title":"Nat Aging"},{"key":"44","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1038\/s41592-022-01412-7","article-title":"A pan-tissue DNA methylation atlas enables in silico decomposition of human tissue methylomes at cell-type resolution.","volume":"1","author":"Teschendorff","year":"2022","journal-title":"Nat Methods"},{"key":"45","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1038\/s41592-018-0213-x","article-title":"Identification of differentially methylated cell types in epigenome-wide association studies.","volume":"1","author":"Teschendorff","year":"2018","journal-title":"Nat Methods"},{"key":"46","doi-asserted-by":"publisher","first-page":"1198243","DOI":"10.3389\/fnins.2023.1198243","article-title":"Hierarchical deconvolution for extensive cell type resolution in the human brain using DNA methylation.","volume":"1","author":"Salas","year":"2023","journal-title":"Front Neurosci"},{"key":"47","doi-asserted-by":"publisher","first-page":"2524","DOI":"10.1016\/j.neuron.2024.05.013","article-title":"Cell-type-specific effects of age and sex on human cortical neurons.","volume":"11","author":"Valadon","year":"2024","journal-title":"Neuron"},{"key":"48","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s42003-023-05690-5","article-title":"scMD facilitates cell type deconvolution using single-cell DNA methylation references.","volume":"7","author":"Wang","year":"2024","journal-title":"Commun Biol"},{"key":"49","first-page":"1","article-title":"Regularization Paths for Generalized Linear Models via Coordinate Descent.","volume":"3","author":"Tibshirani","year":"2010","journal-title":"J Stat Softw"},{"key":"50","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1038\/nn.4181","article-title":"Mapping DNA methylation across development, genotype and schizophrenia in the human frontal cortex.","volume":"1","author":"Kleinman","year":"2016","journal-title":"Nat Neurosci"},{"key":"51","doi-asserted-by":"publisher","first-page":"4779","DOI":"10.1038\/s41467-020-18618-y","article-title":"A cell-type deconvolution meta-analysis of whole blood EWAS reveals lineage-specific smoking-associated DNA methylation changes.","volume":"1","author":"Teschendorff","year":"2020","journal-title":"Nat Commun"},{"key":"52","doi-asserted-by":"publisher","first-page":"4932","DOI":"10.1038\/s41467-022-32619-z","article-title":"Epigenome-wide association study of human frontal cortex identifies differential methylation in Lewy body pathology.","volume":"1","author":"Toft","year":"2022","journal-title":"Nat Commun"},{"key":"53","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1186\/s13059-020-02126-9","article-title":"EPISCORE: cell type deconvolution of bulk tissue DNA methylomes from single-cell RNA-Seq data.","volume":"2","author":"Beck","year":"2020","journal-title":"Genome Biol"},{"key":"54","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1186\/s13148-021-01129-y","article-title":"Differential DNA methylation and changing cell-type proportions as fibrotic stage progresses in NAFLD.","volume":"1","author":"DiStefano","year":"2021","journal-title":"Clin Epigenetics"},{"key":"55","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1038\/s41563-018-0241-z","article-title":"Avoiding common pitfalls in machine learning omic data science.","volume":"1","author":"Teschendorff","year":"2019","journal-title":"Nat Mater"},{"key":"56","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1186\/1471-2164-15-860","article-title":"Genetic and epigenetic regulation of gene expression in fetal and adult human livers.","volume":"1","author":"Wolfs","year":"2014","journal-title":"BMC Genomics"},{"key":"57","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1002\/hep.30526","article-title":"Alpha-1 Antitrypsin Deficiency Liver Disease, Mutational Homogeneity Modulated by Epigenetic Heterogeneity With Links to Obesity.","volume":"7","author":"Robertson","year":"2019","journal-title":"Hepatology"},{"key":"58","doi-asserted-by":"publisher","first-page":"15538","DOI":"10.1073\/pnas.1412759111","article-title":"Obesity accelerates epigenetic aging of human liver.","volume":"11","author":"Sipos","year":"2014","journal-title":"Proc Natl Acad Sci U S A"},{"key":"59","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.cmet.2013.07.004","article-title":"DNA methylation analysis in nonalcoholic fatty liver disease suggests distinct disease-specific and remodeling signatures after bariatric surgery.","volume":"1","author":"Sipos","year":"2013","journal-title":"Cell Metab"},{"key":"60","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1038\/s43587-023-00557-0","article-title":"Causality-enriched epigenetic age uncouples damage and adaptation.","volume":"4","author":"Gladyshev","year":"2024","journal-title":"Nat Aging"},{"key":"61","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.expneurol.2013.12.009","article-title":"Induction of sestrin2 as an endogenous protective mechanism against amyloid beta-peptide neurotoxicity in primary cortical culture.","volume":"25","author":"Yang","year":"2014","journal-title":"Exp Neurol"},{"key":"62","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.3233\/JAD-160479","article-title":"Relative Alterations in Blood-Based Levels of Sestrin in Alzheimer's Disease and Mild Cognitive Impairment Patients.","volume":"5","author":"Dey","year":"2016","journal-title":"J Alzheimers Dis"},{"key":"63","doi-asserted-by":"publisher","first-page":"1023947","DOI":"10.3389\/fncel.2022.1023947","article-title":"Ferroptosis-related biomarkers for Alzheimer's disease: Identification by bioinformatic analysis in hippocampus.","volume":"1","author":"Qin","year":"2022","journal-title":"Front Cell Neurosci"},{"key":"64","doi-asserted-by":"publisher","first-page":"113392","DOI":"10.1016\/j.celrep.2023.113392","article-title":"Integrative multi-omic profiling of adult mouse brain endothelial cells and potential implications in Alzheimer's disease.","volume":"4","author":"Chang","year":"2023","journal-title":"Cell Rep"},{"key":"65","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.expneurol.2018.09.012","article-title":"Inhibition of sphingomyelin synthase 1 ameliorates alzheimer-like pathology in APP\/PS1 transgenic mice through promoting lysosomal degradation of BACE1.","volume":"31","author":"Xu","year":"2019","journal-title":"Exp Neurol"},{"key":"66","doi-asserted-by":"publisher","first-page":"e74016","DOI":"10.1371\/journal.pone.0074016","article-title":"Elevation in sphingomyelin synthase activity is associated with increases in amyloid-beta peptide generation.","volume":"8","author":"Kim","year":"2013","journal-title":"PLoS One"},{"key":"67","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1111\/bpa.12474","article-title":"Mitochondrial activity in the frontal cortex area 8 and angular gyrus in Parkinson's disease and Parkinson's disease with dementia.","volume":"2","author":"Ferrer","year":"2018","journal-title":"Brain Pathol"},{"key":"68","doi-asserted-by":"publisher","first-page":"760567","DOI":"10.3389\/fnins.2021.760567","article-title":"Zinc Finger Proteins in Neuro-Related Diseases Progression.","volume":"1","author":"Wang","year":"2021","journal-title":"Front Neurosci"},{"key":"69","doi-asserted-by":"publisher","first-page":"437","DOI":"10.3389\/fgene.2020.00437","article-title":"Genome-Wide Gene-Based Multi-Trait Analysis.","volume":"1","author":"Cui","year":"2020","journal-title":"Front Genet"},{"key":"70","doi-asserted-by":"publisher","first-page":"5912","DOI":"10.3390\/ijms20235912","article-title":"Quantitative Trait Module-Based Genetic Analysis of Alzheimer's Disease.","volume":"2","author":"Sun","year":"2019","journal-title":"Int J Mol Sci"},{"key":"71","doi-asserted-by":"publisher","first-page":"e45535","DOI":"10.1371\/journal.pone.0045535","article-title":"Unveiling clusters of RNA transcript pairs associated with markers of Alzheimer's disease progression.","volume":"7","author":"Moscato","year":"2012","journal-title":"PLoS One"},{"key":"72","doi-asserted-by":"publisher","first-page":"685","DOI":"10.4161\/epi.5.8.12996","article-title":"Epigenetic regulation of the INK4b-ARF-INK4a locus: in sickness and in health.","volume":"5","author":"Gil","year":"2010","journal-title":"Epigenetics"},{"key":"73","doi-asserted-by":"publisher","first-page":"1598","DOI":"10.1038\/s41418-018-0064-0","article-title":"Polycomb protein family member CBX7 regulates intrinsic axon growth and regeneration.","volume":"2","author":"Liu","year":"2018","journal-title":"Cell Death Differ"},{"key":"74","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1016\/j.jalz.2011.11.006","article-title":"Longitudinal modeling of cognitive aging and the TOMM40 effect.","volume":"8","author":"Roses","year":"2012","journal-title":"Alzheimers Dement"},{"key":"75","doi-asserted-by":"publisher","first-page":"871","DOI":"10.3390\/genes12060871","article-title":"RNA Transcription in Alzheimer's Disease Brain and Its Implication in Mitochondrial Dysfunction.","volume":"1","author":"Yu","year":"2021","journal-title":"Genes (Basel)"},{"key":"76","doi-asserted-by":"publisher","first-page":"245","DOI":"10.3390\/cells12020245","article-title":"A Multi-Trait Association Analysis of Brain Disorders and Platelet Traits Identifies Novel Susceptibility Loci for Major Depression, Alzheimer's and Parkinson's Disease.","volume":"1","author":"Gialluisi","year":"2023","journal-title":"Cells"},{"key":"77","doi-asserted-by":"publisher","first-page":"1667","DOI":"10.1007\/s40520-020-01661-6","article-title":"TOMM40 and APOE variants synergistically increase the risk of Alzheimer's disease in a Chinese population.","volume":"3","author":"Ding","year":"2021","journal-title":"Aging Clin Exp Res"},{"key":"78","doi-asserted-by":"publisher","first-page":"587","DOI":"10.3233\/JAD-200556","article-title":"APOE\u025b4-TOMM40L Haplotype Increases the Risk of Mild Cognitive Impairment Conversion to Alzheimer's Disease.","volume":"7","author":"Oliveira","year":"2020","journal-title":"J Alzheimers Dis"},{"key":"79","doi-asserted-by":"publisher","first-page":"41","DOI":"10.12688\/wellcomeopenres.17598.2","article-title":"The EWAS Catalog: a database of epigenome-wide association studies.","volume":"7","author":"Elliott","year":"2022","journal-title":"Wellcome Open Res"},{"key":"80","doi-asserted-by":"publisher","first-page":"D1004","DOI":"10.1093\/nar\/gkab972","article-title":"EWAS Open Platform: integrated data, knowledge and toolkit for epigenome-wide association study.","volume":"5","author":"Li","year":"2022","journal-title":"Nucleic Acids Res"},{"key":"81","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1186\/s13059-016-0926-z","article-title":"Systematic identification of genetic influences on methylation across the human life course.","volume":"1","author":"Relton","year":"2016","journal-title":"Genome Biol"},{"key":"82","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1038\/s41588-022-01248-z","article-title":"DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits.","volume":"5","author":"Pierce","year":"2023","journal-title":"Nat Genet"},{"key":"83","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1038\/nn.4182","article-title":"Methylation QTLs in the developing brain and their enrichment in schizophrenia risk loci.","volume":"1","author":"Mill","year":"2016","journal-title":"Nat Neurosci"},{"key":"84","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1038\/nn.4632","article-title":"An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome.","volume":"2","author":"De Jager","year":"2017","journal-title":"Nat Neurosci"},{"key":"85","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1038\/s41588-022-01024-z","article-title":"New insights into the genetic etiology of Alzheimer's disease and related dementias.","volume":"5","author":"Damotte","year":"2022","journal-title":"Nat Genet"},{"key":"86","doi-asserted-by":"publisher","first-page":"3754","DOI":"10.3390\/ijms24043754","article-title":"Alzheimer's Disease: An Updated Overview of Its Genetics.","volume":"2","author":"Soto-Rojas","year":"2023","journal-title":"Int J Mol Sci"},{"key":"87","doi-asserted-by":"publisher","first-page":"1361","DOI":"10.1007\/s10072-018-3430-2","article-title":"Exploring the mechanistic insights of Cas scaffolding protein family member 4 with protein tyrosine kinase 2 in Alzheimer's disease by evaluating protein interactions through molecular docking and dynamic simulations.","volume":"3","author":"Moustafa","year":"2018","journal-title":"Neurol Sci"},{"key":"88","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1186\/s13195-024-01398-8","article-title":"Genome-wide association study and polygenic risk scores of retinal thickness across the cognitive continuum: data from the NORFACE cohort.","volume":"1","author":"Castilla-Mart\u00ed","year":"2024","journal-title":"Alzheimers Res Ther"},{"key":"89","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1038\/s41588-023-01506-8","article-title":"Functional characterization of Alzheimer's disease genetic variants in microglia.","volume":"5","author":"Song","year":"2023","journal-title":"Nat Genet"},{"key":"90","doi-asserted-by":"publisher","first-page":"792","DOI":"10.1016\/j.cmet.2013.08.018","article-title":"Sestrins orchestrate cellular metabolism to attenuate aging.","volume":"1","author":"Karin","year":"2013","journal-title":"Cell Metab"},{"key":"91","doi-asserted-by":"publisher","first-page":"1223","DOI":"10.1126\/science.1182228","article-title":"Sestrin as a feedback inhibitor of TOR that prevents age-related pathologies.","volume":"32","author":"Karin","year":"2010","journal-title":"Science"},{"key":"92","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1038\/s41574-022-00675-6","article-title":"Macrophage functional diversity in NAFLD - more than inflammation.","volume":"1","author":"Aouadi","year":"2022","journal-title":"Nat Rev Endocrinol"},{"key":"93","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1038\/nrg.2016.127","article-title":"The origin and evolution of cell types.","volume":"1","author":"Wagner","year":"2016","journal-title":"Nat Rev Genet"},{"key":"94","doi-asserted-by":"publisher","first-page":"3541","DOI":"10.18632\/aging.101666","article-title":"Cell and tissue type independent age-associated DNA methylation changes are not rare but common.","volume":"1","author":"Teschendorff","year":"2018","journal-title":"Aging (Albany NY)"},{"key":"95","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1093\/bioinformatics\/btu049","article-title":"Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.","volume":"3","author":"Irizarry","year":"2014","journal-title":"Bioinformatics"},{"key":"96","doi-asserted-by":"publisher","first-page":"520","DOI":"10.1093\/bioinformatics\/17.6.520","article-title":"Missing value estimation methods for DNA microarrays.","volume":"1","author":"Altman","year":"2001","journal-title":"Bioinformatics"},{"key":"97","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1093\/bioinformatics\/bts680","article-title":"A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data.","volume":"2","author":"Beck","year":"2013","journal-title":"Bioinformatics"},{"key":"98","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1038\/s41525-019-0102-y","article-title":"Hepatocyte gene expression and DNA methylation as ancestry-dependent mechanisms in African Americans.","volume":"4","author":"Perera","year":"2019","journal-title":"NPJ Genom Med"},{"key":"99","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1093\/gerona\/gly048","article-title":"Molecular Aging of Human Liver: An Epigenetic\/Transcriptomic Signature.","volume":"7","author":"Gramignoli","year":"2019","journal-title":"J Gerontol A Biol Sci Med Sci"},{"key":"100","doi-asserted-by":"publisher","first-page":"1593","DOI":"10.2217\/epi-2020-0029","article-title":"DNA methylation events in transcription factors and gene expression changes in colon cancer.","volume":"1","author":"Moreno","year":"2020","journal-title":"Epigenomics"},{"key":"101","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1186\/s12885-017-3252-2","article-title":"Genome-wide DNA methylation measurements in prostate tissues uncovers novel prostate cancer diagnostic biomarkers and transcription factor binding patterns.","volume":"1","author":"Myers","year":"2017","journal-title":"BMC Cancer"},{"key":"102","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1080\/15592294.2019.1640547","article-title":"Epigenome-wide association study of DNA methylation and microRNA expression highlights novel pathways for human complex traits.","volume":"1","author":"Larson","year":"2020","journal-title":"Epigenetics"},{"key":"103","doi-asserted-by":"publisher","first-page":"910","DOI":"10.1016\/j.jid.2016.11.029","article-title":"Higher Nevus Count Exhibits a Distinct DNA Methylation Signature in Healthy Human Skin: Implications for Melanoma.","volume":"13","author":"Bell","year":"2017","journal-title":"J Invest Dermatol"},{"key":"104","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/1471-2105-13-86","article-title":"DNA methylation arrays as surrogate measures of cell mixture distribution.","volume":"1","author":"Kelsey","year":"2012","journal-title":"BMC Bioinformatics"},{"key":"105","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1038\/s41467-021-27864-7","article-title":"Enhanced cell deconvolution of peripheral blood using DNA methylation for high-resolution immune profiling.","volume":"1","author":"Christensen","year":"2022","journal-title":"Nat Commun"},{"key":"106","doi-asserted-by":"publisher","first-page":"757","DOI":"10.2217\/epi-2016-0153","article-title":"Cell-type deconvolution in epigenome-wide association studies: a review and recommendations.","volume":"9","author":"Zheng","year":"2017","journal-title":"Epigenomics"},{"key":"107","doi-asserted-by":"publisher","first-page":"e13149","DOI":"10.1111\/acel.13149","article-title":"Determinants of accelerated metabolomic and epigenetic aging in a UK cohort.","volume":"1","author":"Polidoro","year":"2020","journal-title":"Aging Cell"},{"key":"108","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1186\/s13059-015-0600-x","article-title":"A coherent approach for analysis of the Illumina HumanMethylation450 BeadChip improves data quality and performance in epigenome-wide association studies.","volume":"1","author":"Chambers","year":"2015","journal-title":"Genome Biol"},{"key":"109","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1186\/s12859-017-1511-5","article-title":"A comparison of reference-based algorithms for correcting cell-type heterogeneity in Epigenome-Wide Association Studies.","volume":"1","author":"Beck","year":"2017","journal-title":"BMC Bioinformatics"},{"key":"110","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1016\/j.molcel.2012.10.016","article-title":"Genome-wide methylation profiles reveal quantitative views of human aging rates.","volume":"4","author":"Rajapakse","year":"2013","journal-title":"Mol Cell"},{"key":"111","doi-asserted-by":"publisher","first-page":"1398","DOI":"10.1016\/j.cell.2016.10.026","article-title":"Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells.","volume":"16","author":"Burden","year":"2016","journal-title":"Cell"},{"key":"112","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1002\/jrsm.12","article-title":"A basic introduction to fixed-effect and random-effects models for meta-analysis.","volume":"1","author":"Rothstein","year":"2010","journal-title":"Res Synth Methods"},{"key":"113","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1136\/ebmental-2019-300117","article-title":"How to perform a meta-analysis with R: a practical tutorial.","volume":"2","author":"Schwarzer","year":"2019","journal-title":"Evid Based Ment Health"},{"key":"114","doi-asserted-by":"publisher","first-page":"166","DOI":"10.1093\/hmg\/ddy327","article-title":"Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.","volume":"2","author":"Beaumont","year":"2019","journal-title":"Hum Mol Genet"}],"container-title":["Aging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.aging-us.com\/lookup\/doi\/10.18632\/aging.206184","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,6]],"date-time":"2025-01-06T17:48:44Z","timestamp":1736185724000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.aging-us.com\/lookup\/doi\/10.18632\/aging.206184"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,29]]},"references-count":114,"journal-issue":{"issue":"22","published-print":{"date-parts":[[2024,12,31]]}},"alternative-id":["206184","39760516"],"URL":"https:\/\/doi.org\/10.18632\/aging.206184","relation":{},"ISSN":["1945-4589"],"issn-type":[{"value":"1945-4589","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,29]]}}}