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  1. Article: Forschen in der Fremde: Karsten Suhre, Weill Cornell Medical College in Doha, Katar

    Suhre, Karsten

    Laborjournal

    2012  Volume 19, Issue 4, Page(s) 46

    Language German
    Document type Article
    ZDB-ID 1237282-1
    ISSN 1612-8354
    Database Current Contents Medicine

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 4842: Show issues Location:
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  2. Article ; Online: Genetic associations with ratios between protein levels detect new pQTLs and reveal protein-protein interactions.

    Suhre, Karsten

    Cell genomics

    2024  Volume 4, Issue 3, Page(s) 100506

    Abstract: Protein quantitative trait loci (pQTLs) are an invaluable source of information for drug target development because they provide genetic evidence to support protein function, suggest relationships between cis- and trans-associated proteins, and link ... ...

    Abstract Protein quantitative trait loci (pQTLs) are an invaluable source of information for drug target development because they provide genetic evidence to support protein function, suggest relationships between cis- and trans-associated proteins, and link proteins to disease endpoints. Using Olink proteomics data for 1,463 proteins measured in over 54,000 samples of the UK Biobank, we identified 4,248 associations with 2,821 ratios between protein levels (rQTLs). rQTLs were 7.6-fold enriched in known protein-protein interactions, suggesting that their ratios reflect biological links between the implicated proteins. Conducting a GWAS on ratios increased the number of discovered genetic signals by 24.7%. The approach can identify novel loci of clinical relevance, support causal gene identification, and reveal complex networks of interacting proteins. Taken together, our study adds significant value to the genetic insights that can be derived from the UKB proteomics data and motivates the wider use of ratios in large-scale GWAS.
    MeSH term(s) Humans ; Quantitative Trait Loci/genetics ; Genetic Predisposition to Disease ; Proteins/genetics
    Chemical Substances Proteins
    Language English
    Publishing date 2024-02-26
    Publishing country United States
    Document type Journal Article
    ISSN 2666-979X
    ISSN (online) 2666-979X
    DOI 10.1016/j.xgen.2024.100506
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book: Genetics meets metabolomics

    Suhre, Karsten

    from experiment to systems biology

    2012  

    Author's details Karsten Suhre ed
    Keywords Medicine ; Human genetics ; Biological models ; Metabolism ; Metabolom ; Genetik
    Subject Allgemeine Genetik ; Erbbiologie ; Erbforschung ; Erblehre ; Vererbungslehre ; Vererbungswissenschaft ; Erblichkeitslehre
    Language English
    Size XVIII, 318 S. : Ill., graph. Darst.
    Publisher Springer
    Publishing place New York u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT017362432
    ISBN 978-1-4614-1688-3 ; 1-4614-1688-4 ; 9781461416890 ; 1461416892
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2012 A 3452 order for loan Magazin

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  4. Article: Advancing Cancer Treatment by Targeting Glutamine Metabolism-A Roadmap.

    Halama, Anna / Suhre, Karsten

    Cancers

    2022  Volume 14, Issue 3

    Abstract: Tumor growth and metastasis strongly depend on adapted cell metabolism. Cancer cells adjust their metabolic program to their specific energy needs and in response to an often challenging tumor microenvironment. Glutamine metabolism is one of the ... ...

    Abstract Tumor growth and metastasis strongly depend on adapted cell metabolism. Cancer cells adjust their metabolic program to their specific energy needs and in response to an often challenging tumor microenvironment. Glutamine metabolism is one of the metabolic pathways that can be successfully targeted in cancer treatment. The dependence of many hematological and solid tumors on glutamine is associated with mitochondrial glutaminase (GLS) activity that enables channeling of glutamine into the tricarboxylic acid (TCA) cycle, generation of ATP and NADPH, and regulation of glutathione homeostasis and reactive oxygen species (ROS). Small molecules that target glutamine metabolism through inhibition of GLS therefore simultaneously limit energy availability and increase oxidative stress. However, some cancers can reprogram their metabolism to evade this metabolic trap. Therefore, the effectiveness of treatment strategies that rely solely on glutamine inhibition is limited. In this review, we discuss the metabolic and molecular pathways that are linked to dysregulated glutamine metabolism in multiple cancer types. We further summarize and review current clinical trials of glutaminolysis inhibition in cancer patients. Finally, we put into perspective strategies that deploy a combined treatment targeting glutamine metabolism along with other molecular or metabolic pathways and discuss their potential for clinical applications.
    Language English
    Publishing date 2022-01-22
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers14030553
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: SGI: automatic clinical subgroup identification in omics datasets.

    Buyukozkan, Mustafa / Suhre, Karsten / Krumsiek, Jan

    Bioinformatics (Oxford, England)

    2022  Volume 38, Issue 2, Page(s) 573–576

    Abstract: Summary: The 'Subgroup Identification' (SGI) toolbox provides an algorithm to automatically detect clinical subgroups of samples in large-scale omics datasets. It is based on hierarchical clustering trees in combination with a specifically designed ... ...

    Abstract Summary: The 'Subgroup Identification' (SGI) toolbox provides an algorithm to automatically detect clinical subgroups of samples in large-scale omics datasets. It is based on hierarchical clustering trees in combination with a specifically designed association testing and visualization framework that can process an arbitrary number of clinical parameters and outcomes in a systematic fashion. A multi-block extension allows for the simultaneous use of multiple omics datasets on the same samples. In this article, we first describe the functionality of the toolbox and then demonstrate its capabilities through application examples on a type 2 diabetes metabolomics study as well as two copy number variation datasets from The Cancer Genome Atlas.
    Availability and implementation: SGI is an open-source package implemented in R. Package source codes and hands-on tutorials are available at https://github.com/krumsieklab/sgi. The QMdiab metabolomics data is included in the package and can be downloaded from https://doi.org/10.6084/m9.figshare.5904022.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Humans ; DNA Copy Number Variations ; Diabetes Mellitus, Type 2 ; Software ; Algorithms ; Metabolomics
    Language English
    Publishing date 2022-11-16
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, N.I.H., Extramural
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btab656
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2374: Show issues Location:
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  6. Article ; Online: Metabolic profiling in diabetes.

    Suhre, Karsten

    The Journal of endocrinology

    2014  Volume 221, Issue 3, Page(s) R75–85

    Abstract: Metabolic profiling, or metabolomics, has developed into a mature science in recent years. It has major applications in the study of metabolic disorders. This review addresses issues relevant to the choice of the metabolomics platform, study design and ... ...

    Abstract Metabolic profiling, or metabolomics, has developed into a mature science in recent years. It has major applications in the study of metabolic disorders. This review addresses issues relevant to the choice of the metabolomics platform, study design and data analysis in diabetes research, and presents recent advances using metabolomics in the identification of markers for altered metabolic pathways, biomarker discovery, challenge studies, metabolic markers of drug efficacy and off-target effects. The role of genetic variance and intermediate metabolic phenotypes and its relevance to diabetes research is also addressed.
    MeSH term(s) Biomarkers/metabolism ; Diabetes Mellitus/genetics ; Diabetes Mellitus/metabolism ; Genetic Association Studies ; Genetic Predisposition to Disease/genetics ; Genetic Variation ; Genome-Wide Association Study ; Humans ; Metabolic Networks and Pathways/genetics ; Metabolic Networks and Pathways/physiology ; Metabolome/genetics ; Metabolome/physiology ; Metabolomics
    Chemical Substances Biomarkers
    Language English
    Publishing date 2014-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 3028-4
    ISSN 1479-6805 ; 0022-0795
    ISSN (online) 1479-6805
    ISSN 0022-0795
    DOI 10.1530/JOE-14-0024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uh III Zs.133: Show issues Location:
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  7. Book ; Online ; Thesis: A network-based, multi-omics integration framework for Alzheimer's disease

    Ulmer geb. Wörheide, Maria Anna Verfasser] / Baumbach, Jan [Akademischer Betreuer] / [Suhre, Karsten [Gutachter] / Baumbach, Jan [Gutachter]

    2023  

    Author's details Maria Anna Ulmer geb. Wörheide ; Gutachter: Karsten Suhre, Jan Baumbach ; Betreuer: Jan Baumbach
    Keywords Technische Chemie ; Technical Chemistry
    Subject code sg660
    Language English
    Publisher Universitätsbibliothek der TU München
    Publishing place München
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

    Full text online

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  8. Article ; Online: Genetics meets proteomics: perspectives for large population-based studies.

    Suhre, Karsten / McCarthy, Mark I / Schwenk, Jochen M

    Nature reviews. Genetics

    2020  Volume 22, Issue 1, Page(s) 19–37

    Abstract: Proteomic analysis of cells, tissues and body fluids has generated valuable insights into the complex processes influencing human biology. Proteins represent intermediate phenotypes for disease and provide insight into how genetic and non-genetic risk ... ...

    Abstract Proteomic analysis of cells, tissues and body fluids has generated valuable insights into the complex processes influencing human biology. Proteins represent intermediate phenotypes for disease and provide insight into how genetic and non-genetic risk factors are mechanistically linked to clinical outcomes. Associations between protein levels and DNA sequence variants that colocalize with risk alleles for common diseases can expose disease-associated pathways, revealing novel drug targets and translational biomarkers. However, genome-wide, population-scale analyses of proteomic data are only now emerging. Here, we review current findings from studies of the plasma proteome and discuss their potential for advancing biomedical translation through the interpretation of genome-wide association analyses. We highlight the challenges faced by currently available technologies and provide perspectives relevant to their future application in large-scale biobank studies.
    MeSH term(s) Biomarkers/analysis ; Blood Proteins/analysis ; Genome-Wide Association Study ; Humans ; Phenotype ; Proteome/genetics ; Proteomics
    Chemical Substances Biomarkers ; Blood Proteins ; Proteome
    Language English
    Publishing date 2020-08-28
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review
    ZDB-ID 2035157-4
    ISSN 1471-0064 ; 1471-0056
    ISSN (online) 1471-0064
    ISSN 1471-0056
    DOI 10.1038/s41576-020-0268-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 5474: Show issues Location:
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    Zs.MG 40: Show issues

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  9. Article ; Online: Genome-wide association of dry (Tamar) date palm fruit color.

    Younuskunju, Shameem / Mohamoud, Yasmin A / Mathew, Lisa S / Mayer, Klaus F X / Suhre, Karsten / Malek, Joel A

    The plant genome

    2023  Volume 16, Issue 4, Page(s) e20373

    Abstract: Date palm (Phoenix dactylifera) fruit (dates) are an economically and culturally significant crop in the Middle East and North Africa. There are hundreds of different commercial cultivars producing dates with distinctive shapes, colors, and sizes. ... ...

    Abstract Date palm (Phoenix dactylifera) fruit (dates) are an economically and culturally significant crop in the Middle East and North Africa. There are hundreds of different commercial cultivars producing dates with distinctive shapes, colors, and sizes. Genetic studies of some date palm traits have been performed, including sex determination, sugar content, and fresh fruit color. In this study, we used genome sequences and image data of 199 dry dates (Tamar) collected from 14 countries to identify genetic loci associated with the color of this fruit stage. Here, we find loci across multiple linkage groups (LG) associated with dry fruit color phenotype. We recover both the previously identified VIRESCENS (VIR) genotype associated with fresh fruit yellow or red color and new associations with the lightness and darkness of dry fruit. This study will add resolution to our understanding of date color phenotype, especially at the most commercially important Tamar stage.
    MeSH term(s) Phoeniceae/genetics ; Genome-Wide Association Study ; Genotype ; Phenotype
    Language English
    Publishing date 2023-08-24
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375444-8
    ISSN 1940-3372 ; 0011-183X
    ISSN (online) 1940-3372
    ISSN 0011-183X
    DOI 10.1002/tpg2.20373
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    Z 7758: Show issues

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  10. Article: Genetic determinants of Vitamin D deficiency in the Middle Eastern Qatari population: a genome-wide association study.

    Hendi, Nagham Nafiz / Al-Sarraj, Yasser / Ismail Umlai, Umm-Kulthum / Suhre, Karsten / Nemer, Georges / Albagha, Omar

    Frontiers in nutrition

    2023  Volume 10, Page(s) 1242257

    Abstract: Introduction: Epidemiological studies have consistently revealed that Vitamin D deficiency is most prevalent in Middle Eastern countries. However, research on the impact of genetic loci and polygenic models related to Vitamin D has primarily focused on ... ...

    Abstract Introduction: Epidemiological studies have consistently revealed that Vitamin D deficiency is most prevalent in Middle Eastern countries. However, research on the impact of genetic loci and polygenic models related to Vitamin D has primarily focused on European populations.
    Methods: We conducted the first genome-wide association study to identify genetic determinants of Vitamin D levels in Middle Easterners using a whole genome sequencing approach in 6,047 subjects from the Qatar Biobank (QBB) project. We performed a GWAS meta-analysis, combining the QBB cohort with recent European GWAS data from the UK Biobank (involving 345,923 individuals). Additionally, we evaluated the performance of European-derived polygenic risk scores using UK Biobank data in the QBB cohort.
    Results: Our study identified an association between a variant in a known locus for the group-specific component gene (
    Conclusion: This novel study reveals the genetic architecture contributing to Vitamin D deficiency in the Qatari population, emphasizing the genetic heterogeneity across different populations.
    Language English
    Publishing date 2023-09-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2776676-7
    ISSN 2296-861X
    ISSN 2296-861X
    DOI 10.3389/fnut.2023.1242257
    Database MEDical Literature Analysis and Retrieval System OnLINE

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