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Original article | published - printed | peer reviewed

Diving Through the "-Omics": The Case for Deep Phenotyping and Systems Epidemiology.


OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2012 ; 16(5): 231 - 234






Bibliometric indicators



Impact Factor = 2.73

Citations (WOS) = 7

DOI = 10.1089/omi.2011.0108

PubMed-ID = 22320900


Authors

Haring R*, Wallaschofski H


Abstract

Abstract Enabled by diverse high-throughput technologies, the rapidly evolving field of "-omics sciences" offers the potential to study health and disease in breadth and depth at the human population level. We have recently linked genomics and metabolomics to present the first genome-wide association study of metabolic traits in human urine providing new insights into the functional background of chronic kidney disease. We propose systems epidemiology as a novel approach to study the complexities of human pathophysiology by integrating various population-level omic-metrics and to identify new trans-omic biomarkers.

Published in

OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY


Year 2012
Impact Factor (2012) 2.73
Volume 16
Issue 5
Pages 231 - 234
Open Access nein
Peer reviewed ja
Article type Original article
Article state published - printed
DOI 10.1089/omi.2011.0108
PubMed-ID 22320900

Common journal data

Short name: OMICS
ISSN: 1536-2310
eISSN: 1557-8100
Country: USA
Language: English
Categories:
  • BIOCHEMICAL RESEARCH METHODS
  • MATHEMATICAL & COMPUTATIONAL BIOLOGY
  • BIOTECHNOLOGY & APPLIED MICROBIOLOGY


Impact factor trend

Year Impact Factor
2008 3.167
2009 2.291
2010 1.944
2011 2.441
2012 2.73
2013 2.73
2014 2.362
2015 2.896
2016 2.723
2017 2.37
2018 2.61
2019 2.507
2020 3.374
2021 3.978
2022 3.3
2023 2.2
2024 1.6

Projects

GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)

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