Go to content
UR Home

A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study

Altenbuchinger, Michael, Zacharias, Helena , Solbrig, S., Schaefer, Andreas, Buyukozkan, M., Schultheiss, U. T., Kotsis, F., Kottgen, A., Spang, Rainer, Oefner, Peter J. , Krumsiek, J. and Gronwald, Wolfram (2019) A multi-source data integration approach reveals novel associations between metabolites and renal outcomes in the German Chronic Kidney Disease study. Sci Rep 9 (1), p. 13954.

[img]
Preview
PDF
Download (3MB)
Date of publication of this fulltext: 17 Oct 2019 09:01

at PubMed

at publisher (via DOI)

Other URL: https://www.nature.com/articles/s41598-019-50346-2


Abstract

Omics data facilitate the gain of novel insights into the pathophysiology of diseases and, consequently, their diagnosis, treatment, and prevention. To this end, omics data are integrated with other data types, e.g., clinical, phenotypic, and demographic parameters of categorical or continuous nature. We exemplify this data integration issue for a chronic kidney disease (CKD) study, comprising ...

plus


Export bibliographical data



Item type:Article
Date:27 September 2019
Institutions:Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner)
Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Statistische Bioinformatik (Prof. Spang)
Physics > Institute of Theroretical Physics > Chair Professor Schäfer > Group Andreas Schäfer
Projects:SFB 1350
Identification Number:
ValueType
31562371PubMed ID
10.1038/s41598-019-50346-2DOI
Dewey Decimal Classification:600 Technology > 610 Medical sciences Medicine
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Partially
Item ID:40836
Owner only: item control page

Downloads

Downloads per month over past year

  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons