Perspective: a systems approach to diabetes research

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Perspective : a systems approach to diabetes research. / Kussmann, Martin; Morine, Melissa J; Hager, Jörg; Sonderegger, Bernhard; Kaput, Jim.

In: Frontiers in Genetics, Vol. 4, 2013, p. 205.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Kussmann, M, Morine, MJ, Hager, J, Sonderegger, B & Kaput, J 2013, 'Perspective: a systems approach to diabetes research' Frontiers in Genetics, vol. 4, pp. 205. https://doi.org/10.3389/fgene.2013.00205

APA

Kussmann, M., Morine, M. J., Hager, J., Sonderegger, B., & Kaput, J. (2013). Perspective: a systems approach to diabetes research. Frontiers in Genetics, 4, 205. https://doi.org/10.3389/fgene.2013.00205

CBE

Kussmann M, Morine MJ, Hager J, Sonderegger B, Kaput J. 2013. Perspective: a systems approach to diabetes research. Frontiers in Genetics. 4:205. https://doi.org/10.3389/fgene.2013.00205

MLA

Vancouver

Kussmann M, Morine MJ, Hager J, Sonderegger B, Kaput J. Perspective: a systems approach to diabetes research. Frontiers in Genetics. 2013;4:205. https://doi.org/10.3389/fgene.2013.00205

Author

Kussmann, Martin ; Morine, Melissa J ; Hager, Jörg ; Sonderegger, Bernhard ; Kaput, Jim. / Perspective : a systems approach to diabetes research. In: Frontiers in Genetics. 2013 ; Vol. 4. pp. 205.

Bibtex

@article{2ebaa216c9e64c35bf107090828b4f0a,
title = "Perspective: a systems approach to diabetes research",
abstract = "We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene-environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term {"}systems omics.{"}",
author = "Martin Kussmann and Morine, {Melissa J} and J{\"o}rg Hager and Bernhard Sonderegger and Jim Kaput",
year = "2013",
doi = "10.3389/fgene.2013.00205",
language = "English",
volume = "4",
pages = "205",
journal = "Frontiers in Genetics",
issn = "1664-8021",
publisher = "Frontiers Media S.A",

}

RIS

TY - JOUR

T1 - Perspective

T2 - a systems approach to diabetes research

AU - Kussmann, Martin

AU - Morine, Melissa J

AU - Hager, Jörg

AU - Sonderegger, Bernhard

AU - Kaput, Jim

PY - 2013

Y1 - 2013

N2 - We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene-environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term "systems omics."

AB - We review here the status of human type 2 diabetes studies from a genetic, epidemiological, and clinical (intervention) perspective. Most studies limit analyses to one or a few omic technologies providing data of components of physiological processes. Since all chronic diseases are multifactorial and arise from complex interactions between genetic makeup and environment, type 2 diabetes mellitus (T2DM) is a collection of sub-phenotypes resulting in high fasting glucose. The underlying gene-environment interactions that produce these classes of T2DM are imperfectly characterized. Based on assessments of the complexity of T2DM, we propose a systems biology approach to advance the understanding of origin, onset, development, prevention, and treatment of this complex disease. This systems-based strategy is based on new study design principles and the integrated application of omics technologies: we pursue longitudinal studies in which each subject is analyzed at both homeostasis and after (healthy and safe) challenges. Each enrolled subject functions thereby as their own case and control and this design avoids assigning the subjects a priori to case and control groups based on limited phenotyping. Analyses at different time points along this longitudinal investigation are performed with a comprehensive set of omics platforms. These data sets are generated in a biological context, rather than biochemical compound class-driven manner, which we term "systems omics."

U2 - 10.3389/fgene.2013.00205

DO - 10.3389/fgene.2013.00205

M3 - Journal article

VL - 4

SP - 205

JO - Frontiers in Genetics

JF - Frontiers in Genetics

SN - 1664-8021

ER -