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Disease networks identify specific conditions and pleiotropy influencing multimorbidity in the general population

Author
Amell, A.; Roso Llorach, Albert; Palomero, L.; Comellas, F.
Type of activity
Journal article
Journal
Scientific reports
Date of publication
2018-10-29
Volume
8
First page
1
Last page
16
DOI
10.1038/s41598-018-34361-3
Repository
http://hdl.handle.net/2117/130930 Open in new window
URL
https://www.nature.com/articles/s41598-018-34361-3 Open in new window
Abstract
Multimorbidity is an emerging topic in public health policy because of its increasing prevalence and socio-economic impact. However, the age- and gender-dependent trends of disease associations at fine resolution, and the underlying genetic factors, remain incompletely understood. Here, by analyzing disease networks from electronic medical records of primary health care, we identify key conditions and shared genetic factors influencing multimorbidity. Three types of diseases are outlined: “cen...
Citation
Amell, A. [et al.]. Disease networks identify specific conditions and pleiotropy influencing multimorbidity in the general population. "Scientific reports", 29 Octubre 2018, vol. 8, p. 1-16.
Keywords
diseases, genetic association study, network topology
Group of research
COMBGRAPH - Combinatorics, Graph Theory and Applications

Participants

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