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

作     者：Amell, A. Roso-Llorach, A. Palomero, L. Cuadras, D. Galvan-Femenia, I. Serra-Musach, J. Comellas, F. de Cid, R. Pujana, M. A. Violan, C. 

作者机构：Tech Univ Catalonia Dept Math Barcelona 08860 Catalonia Spain Jordi Gol Univ Inst Res Primary Healthcare IDIAP Barcelona 08007 Catalonia Spain Autonomous Univ Barcelona Bellaterra 08193 Catalonia Spain Bellvitge Inst Biomed Res IDIBELL Oncobell ProCURE Catalan Inst Oncol ICO Barcelona 08908 Catalonia Spain Fdn St Joan de Deu Dept Stat Esplugues 08950 Catalonia Spain Germans Trias & Pujol Hlth Sci Res Inst IGTP GCAT Genomes Life Program Predict & Personalized Med Canc IMPPC Badalona 08916 Catalonia Spain 

出 版 物：《SCIENTIFIC REPORTS》 (Sci. Rep.)

年 卷 期：2018年第8卷第1期

页      面：1-16页

核心收录：

基　　金：Carlos III Institute of Health (ISCIII) European Union ERDF funds (European Regional Development Fund FEDER "Una manera de hacer Europa") Generalitat de Catalunya [SGR 2014-364, 2014-1269, 2017-449] Generalitat de Catalunya (CERCA program) "Ramon y Cajal" researcher program [RYC-2011-07822] Ministry of Economy and Competitiveness (MINECO, Health Strategy Action, National Research Program Oriented to Societal Challenges within the Technical, Scientific and Innovation Research National Plan 2013-2016) [PI12/0042, PI15/00854] Ministry of Economy and Competitiveness (MINECO) [MTM2014-60127-P] Ministry of Economy and Competitiveness (MINECO "Accion de Dinamizacion") [ADE 10/00026] Ministry of Economy and Competitiveness (MINECO Network for Prevention and Health Promotion in Primary Health Care (redIAPP)) [RD12/0005/0001, RD16/0007/001] 

主　　题：Multimorbidity Disease Network Shared Genetic Factors Nutritional Anemia Community Roots 

摘      要：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: central, which include chronic and non-chronic conditions, have higher cumulative risks of disease associations;community roots have lower cumulative risks, but inform on continuing clustered disease associations with age;and seeds of bursts, which most are chronic, reveal outbreaks of disease associations leading to multimorbidity. The diseases with a major impact on multimorbidity are caused by genes that occupy central positions in the network of human disease genes. Alteration of lipid metabolism connects breast cancer, diabetic neuropathy and nutritional anemia. Evaluation of key disease associations by a genome-wide association study identifies shared genetic factors and further supports causal commonalities between nervous system diseases and nutritional anemias. This study also reveals many shared genetic signals with other diseases. Collectively, our results depict novel population-based multimorbidity patterns, identify key diseases within them, and highlight pleiotropy influencing multimorbidity.