Consensus Clustering of temporal profiles for the identification of metabolic markers of pre-diabetes in childhood (EarlyBird 73)
dc.contributor.author | Lauria, M | |
dc.contributor.author | Persico, M | |
dc.contributor.author | Dordevic, N | |
dc.contributor.author | Cominetti, O | |
dc.contributor.author | Matone, A | |
dc.contributor.author | Hosking, Joanne | |
dc.contributor.author | Jeffery, Alison | |
dc.contributor.author | Pinkney, Jonathan | |
dc.contributor.author | Da Silva, L | |
dc.contributor.author | Priami, C | |
dc.contributor.author | Montoliu, I | |
dc.contributor.author | Martin, F-P | |
dc.date.accessioned | 2018-03-06T09:56:38Z | |
dc.date.available | 2018-03-06T09:56:38Z | |
dc.date.issued | 2018-01-23 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.issn | 2045-2322 | |
dc.identifier.other | 1393 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/10975 | |
dc.description.abstract |
<jats:title>Abstract</jats:title><jats:p>In longitudinal clinical studies, methodologies available for the analysis of multivariate data with multivariate methods are relatively limited. Here, we present Consensus Clustering (CClust) a new computational method based on clustering of time profiles and posterior identification of correlation between clusters and predictors. Subjects are first clustered in groups according to a response variable temporal profile, using a robust consensus-based strategy. To discover which of the remaining variables are associated with the resulting groups, a non-parametric hypothesis test is performed between groups at every time point, and then the results are aggregated according to the Fisher method. Our approach is tested through its application to the EarlyBird cohort database, which contains temporal variations of clinical, metabolic, and anthropometric profiles in a population of 150 children followed-up annually from age 5 to age 16. Our results show that our consensus-based method is able to overcome the problem of the approach-dependent results produced by current clustering algorithms, producing groups defined according to Insulin Resistance (IR) and biological age (Tanner Score). Moreover, it provides meaningful biological results confirmed by hypothesis testing with most of the main clinical variables. These results position CClust as a valid alternative for the analysis of multivariate longitudinal data.</jats:p> | |
dc.format.extent | 0-0 | |
dc.format.medium | Electronic | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Nature Publishing Group | |
dc.subject | Adolescent | |
dc.subject | Algorithms | |
dc.subject | Body Weights and Measures | |
dc.subject | Child | |
dc.subject | Child, Preschool | |
dc.subject | Cluster Analysis | |
dc.subject | Consensus | |
dc.subject | Female | |
dc.subject | Humans | |
dc.subject | Insulin Resistance | |
dc.subject | Longitudinal Studies | |
dc.subject | Prediabetic State | |
dc.title | Consensus Clustering of temporal profiles for the identification of metabolic markers of pre-diabetes in childhood (EarlyBird 73) | |
dc.type | journal-article | |
dc.type | Journal Article | |
dc.type | Research Support, Non-U.S. Gov't | |
plymouth.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000423044400009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 1 | |
plymouth.volume | 8 | |
plymouth.publication-status | Published online | |
plymouth.journal | Scientific Reports | |
dc.identifier.doi | 10.1038/s41598-017-19059-2 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Health | |
plymouth.organisational-group | /Plymouth/Faculty of Health/Peninsula Medical School | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/FoH - Community and Primary Care | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Health and Community | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Translational and Stratified Medicine (ITSMED) | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Translational and Stratified Medicine (ITSMED)/CBBB | |
plymouth.organisational-group | /Plymouth/Research Groups/Institute of Translational and Stratified Medicine (ITSMED)/CCT&PS | |
plymouth.organisational-group | /Plymouth/Research Groups/Plymouth Institute of Health and Care Research (PIHR) | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.publisher.place | England | |
dcterms.dateAccepted | 2017-12-18 | |
dc.identifier.eissn | 2045-2322 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.version | Version of Record | |
rioxxterms.versionofrecord | 10.1038/s41598-017-19059-2 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2018-01-23 | |
rioxxterms.type | Journal Article/Review |