2021
Genetic associations for two biological age measures point to distinct aging phenotypes
Kuo C, Pilling LC, Liu Z, Atkins JL, Levine ME. Genetic associations for two biological age measures point to distinct aging phenotypes. Aging Cell 2021, 20: e13376. PMID: 34038024, PMCID: PMC8208797, DOI: 10.1111/acel.13376.Peer-Reviewed Original ResearchConceptsGenome-wide association scansAssociation scanEuropean descent participantsHomeostasis pathwaysPathway enrichmentAging phenotypesGenesGenetic associationCell functionStrong signalBiological age measuresPathwayUK BiobankGenetic predispositionClinical biochemistry markersImmune systemEnrichmentSNPsPhenotypeAPOE geneLipidsPredispositionDomainMarkers
2020
A rat epigenetic clock recapitulates phenotypic aging and co-localizes with heterochromatin
Levine M, McDevitt RA, Meer M, Perdue K, Di Francesco A, Meade T, Farrell C, Thrush K, Wang M, Dunn C, Pellegrini M, de Cabo R, Ferrucci L. A rat epigenetic clock recapitulates phenotypic aging and co-localizes with heterochromatin. ELife 2020, 9: e59201. PMID: 33179594, PMCID: PMC7661040, DOI: 10.7554/elife.59201.Peer-Reviewed Original ResearchConceptsTranscriptional factor bindingNovel epigenetic clockEpigenetic signalsIntergenic regionEpigenetic age measuresDNA methylationFactor bindingSequencing dataEpigenetic clocksBiochemical advantagesNetwork analysisH3K9me3H3K27me3HeterochromatinCaloric restrictionRobust biomarkersSubstantial overlapMethylationPhenotypicCpGDNAmAgeBindingMiceClock
2019
Associations of genetics, behaviors, and life course circumstances with a novel aging and healthspan measure: Evidence from the Health and Retirement Study
Liu Z, Chen X, Gill TM, Ma C, Crimmins EM, Levine ME. Associations of genetics, behaviors, and life course circumstances with a novel aging and healthspan measure: Evidence from the Health and Retirement Study. PLOS Medicine 2019, 16: e1002827. PMID: 31211779, PMCID: PMC6581243, DOI: 10.1371/journal.pmed.1002827.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseArtery diseasePhenotypic agingUS older adultsSelf-reported circumstancesRetirement StudyLife course circumstancesAssociation of geneticMorbidity riskMultivariable associationsPotential policy targetsRetrospective natureAdulthood circumstancesPhenotypic AgeAdulthood adversityGenetic predispositionHealth behaviorsSocioenvironmental circumstancesUS populationOlder adultsPotential interventionsDisadvantaged subpopulationsGenetic riskGenetic scoreUS Health
2018
Time and the Metrics of Aging
Ferrucci L, Levine ME, Kuo PL, Simonsick EM. Time and the Metrics of Aging. Circulation Research 2018, 123: 740-744. PMID: 30355074, PMCID: PMC6205734, DOI: 10.1161/circresaha.118.312816.Peer-Reviewed Original Research
2015
A Genetic Network Associated With Stress Resistance, Longevity, and Cancer in Humans
Levine ME, Crimmins EM. A Genetic Network Associated With Stress Resistance, Longevity, and Cancer in Humans. The Journals Of Gerontology Series A 2015, 71: 703-712. PMID: 26355015, PMCID: PMC4888382, DOI: 10.1093/gerona/glv141.Peer-Reviewed Original ResearchConceptsFunctional interaction networkSingle nucleotide polymorphismsStress resistanceNucleotide polymorphismsInteraction networksGenome-wide association studiesPathway analysisAssociation studiesPolygenic risk scoresNetworks AssociatedBiological networksHuman longevityUnique phenotypeHuman agingGenesPolymorphismLongevityPhenotypeInnate resilienceRisk scoreAge 52Threefold increasePathwayWeighted polygenic risk scoreResistance