2024
mbDecoda: a debiased approach to compositional data analysis for microbiome surveys
Zong Y, Zhao H, Wang T. mbDecoda: a debiased approach to compositional data analysis for microbiome surveys. Briefings In Bioinformatics 2024, 25: bbae205. PMID: 38701410, PMCID: PMC11066923, DOI: 10.1093/bib/bbae205.Peer-Reviewed Original ResearchConceptsComposition of microbiomesCompositional biasMicrobiome datasetsMicrobiome studiesProbiotic microbesMicrobiome surveysMicrobiome compositionMicrobial loadMicrobiomeMaximum likelihood estimationAbundance analysisAbundance levelsAbsolute abundanceAbundance dataAbundanceClinical phenotypeFeature tableLikelihood estimation of model parametersEnvironmental factorsMaximum likelihood estimation of model parametersEstimation of model parametersMicrobesState-of-the-art methodsOver-dispersionState-of-the-art
2023
A genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways
Ye Y, Noche R, Szejko N, Both C, Acosta J, Leasure A, Brown S, Sheth K, Gill T, Zhao H, Falcone G. A genome-wide association study of frailty identifies significant genetic correlation with neuropsychiatric, cardiovascular, and inflammation pathways. GeroScience 2023, 45: 2511-2523. PMID: 36928559, PMCID: PMC10651618, DOI: 10.1007/s11357-023-00771-z.Peer-Reviewed Original ResearchConceptsFried frailty scoreBiology of frailtyEuropean descent participantsOccurrence of frailtyGenome-wide association studiesMendelian randomization analysisFrailty scoreChronic painJoint disordersPolygenic risk scoresRespiratory diseaseInflammation pathwaysRisk scoreClinical phenotypeBrain tissueCausal associationFrailtyAge-related pathwaysRandomization analysisGenetic factorsAssociation studiesUK BiobankRetirement StudyPerson's vulnerabilitySignificant genetic correlations
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