Health and disease phenotyping in old age using a cluster network analysis.
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ABSTRACT: Human ageing is a complex trait that involves the synergistic action of numerous biological processes that interact to form a complex network. Here we performed a network analysis to examine the interrelationships between physiological and psychological functions, disease, disability, quality of life, lifestyle and behavioural risk factors for ageing in a cohort of 3,270 subjects aged ≥55 years. We considered associations between numerical and categorical descriptors using effect-size measures for each variable pair and identified clusters of variables from the resulting pairwise effect-size network and minimum spanning tree. We show, by way of a correspondence analysis between the two sets of clusters, that they correspond to coarse-grained and fine-grained structure of the network relati
SUBMITTER: Valenzuela JF
PROVIDER: S-EPMC5688160 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
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