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Tsepilov, Y.A.* ; Sharapov, S.Z.* ; Zaytseva, O.O.* ; Krumsiek, J. ; Prehn, C. ; Adamski, J. ; Kastenmüller, G. ; Wang-Sattler, R. ; Strauch, K. ; Gieger, C. ; Aulchenko, Y.S.*

A network-based conditional genetic association analysis of the human metabolome (vol 7, gij137, 2018).

GigaScience 8:giz162 (2019)
Correction DOI PMC
Creative Commons Lizenzvertrag
Open Access Gold as soon as Publ. Version/Full Text is submitted to ZB.
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Publication type Other: Correction, Addition
Language
Publication Year 2019
HGF-reported in Year 2019
e-ISSN 2047-217X
Journal GigaScience
Quellenangaben Volume: 8, Issue: 12, Pages: , Article Number: giz162 Supplement: ,
Publisher Oxford Univ Press
Publishing Place London
Reviewing status Peer reviewed
Institute(s) Institute of Computational Biology (ICB)
Molekulare Endokrinologie und Metabolismus (MEM)
Institute of Bioinformatics and Systems Biology (IBIS)
Institute of Epidemiology (EPI)
Institute of Genetic Epidemiology (IGE)
POF-Topic(s) 30205 - Bioengineering and Digital Health
30201 - Metabolic Health
30505 - New Technologies for Biomedical Discoveries
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Research field(s) Enabling and Novel Technologies
Genetics and Epidemiology
PSP Element(s) G-554100-001
G-505600-003
G-503700-001
G-504091-003
G-504100-001
G-504091-004
Scopus ID 85077326168
PubMed ID 31886873
Erfassungsdatum 2020-01-10