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
Underlying features of epigenetic aging clocks in vivo and in vitro
Liu Z, Leung D, Thrush K, Zhao W, Ratliff S, Tanaka T, Schmitz LL, Smith JA, Ferrucci L, Levine ME. Underlying features of epigenetic aging clocks in vivo and in vitro. Aging Cell 2020, 19: e13229. PMID: 32930491, PMCID: PMC7576259, DOI: 10.1111/acel.13229.Peer-Reviewed Original ResearchConceptsEpigenetic clocksTranscriptional associationsTissues/cellsHuman tissues/cellsEpigenetic aging clockMultiple tissues/cellsDifferent biological processesMulti-omics analysisDNA methylation dataMulti-omics dataBiological processesMethylation dataAging clockMitochondrial dysfunctionEpigenetic agingBiological agingClockHallmarkCellsSenescenceAutophagyStriking lackPathwayCpGMetabolism
2018
An epigenetic biomarker of aging for lifespan and healthspan
Levine ME, Lu AT, Quach A, Chen BH, Assimes TL, Bandinelli S, Hou L, Baccarelli AA, Stewart JD, Li Y, Whitsel EA, Wilson JG, Reiner AP, Aviv A, Lohman K, Liu Y, Ferrucci L, Horvath S. An epigenetic biomarker of aging for lifespan and healthspan. Aging 2018, 10: 573-591. PMID: 29676998, PMCID: PMC5940111, DOI: 10.18632/aging.101414.Peer-Reviewed Original ResearchConceptsEpigenetic biomarkersDNA damage responseTranslational machineryMitochondrial signatureTranscriptional analysisDamage responseNew epigenetic biomarkersMultiple tissuesNovel CpGsInterferon pathwayHealthspanSorted cellsImportant pathwayPathwayCellsLifespanActivationBiological ageDiverse outcomesDNAm PhenoAgeMachineryMajor goalTissueCpGGeroscience
2017
A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores
Levine ME, Langfelder P, Horvath S. A Weighted SNP Correlation Network Method for Estimating Polygenic Risk Scores. Methods In Molecular Biology 2017, 1613: 277-290. PMID: 28849564, PMCID: PMC5998804, DOI: 10.1007/978-1-4939-7027-8_10.Peer-Reviewed Original ResearchConceptsComplex traitsHuman heightCorrelation network analysisPolygenic score methodsPolygenic scoresSNP networkGWAS dataHub genesBiological insightsGenetic markersAllele countsGenetic pleiotropyTraitsGene scoreBiologyNetwork analysisPolygenic risk scoresNetwork-based methodPleiotropyGenesEnvironmental effectsSNPsPathwayLarge proportionDeeper understanding
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