2024
Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations
Liu J, Borsari B, Li Y, Liu S, Gao Y, Xin X, Lou S, Jensen M, Garrido-MartĂn D, Verplaetse T, Ash G, Zhang J, Girgenti M, Roberts W, Gerstein M. Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations. Cell 2024, 188: 515-529.e15. PMID: 39706190, DOI: 10.1016/j.cell.2024.11.012.Peer-Reviewed Original ResearchGenome-wide association studiesCase-control genome-wide association studyMultivariate genome-wide association studyGenetic lociAssociation studiesGenetic dataGenetic associationPhenotypeGeneticsEnvironmental factorsDetection powerElfn1Adolescent Brain Cognitive DevelopmentLociGenesPsychiatric disordersADORA3Digital phenotyping
2015
Obesity-Related Genetic Variants and their Associations with Physical Activity
Lee H, Ash GI, Angelopoulos TJ, Gordon PM, Moyna NM, Visich PS, Zoeller RF, Gordish-Dressman H, Deshpande V, Chen MH, Thompson PD, Hoffman EP, Devaney JM, Pescatello LS. Obesity-Related Genetic Variants and their Associations with Physical Activity. Sports Medicine - Open 2015, 1: 34. PMID: 26495240, PMCID: PMC4607705, DOI: 10.1186/s40798-015-0036-6.Peer-Reviewed Original ResearchNeuronal growth regulator 1Physical activityObesity-related genetic variantsPaffenbarger Physical Activity QuestionnaireLight-intensity physical activityPhysical activity volumePhysical Activity QuestionnaireIntensity physical activityHours/weekGenetic variantsActivity QuestionnaireFat massBackgroundMeta-analysesPotassium channel tetramerization domainActivity volumeRegulator 1Protein 1MET valuesRelated phenotypesPleiotropic effectsGenome-wide association studiesMetabolic energy equivalentsAssociation studies
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