Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–19 of 19 results
Advanced filters: Author: "Claudia Langenberg" Clear advanced filters

  • Claudia Langenberg, James Meigs and colleagues apply a joint meta-analysis approach that accounts for differences in body mass index to identify variants associated with glycemic traits. They report six new loci associated with fasting insulin levels and provide insights into the genetic basis of insulin resistance.

    • Alisa K Manning
    • Marie-France Hivert
    • Claudia Langenberg
    Research
    Nature Genetics
    Volume: 44, P: 659-669

  • Jose Florez, Claudia Langenberg, Erik Ingelsson, Inga Prokopenko, Inês Barroso and colleagues perform large-scale association analyses using the Metabochip to gain further insights into the genetic architecture of glucose regulation. They identify 38 new loci influencing 1 or more glycemic traits and show that many of these loci also modify risk of type 2 diabetes.

    • Robert A Scott
    • Vasiliki Lagou
    • Inês Barroso
    Research
    Nature Genetics
    Volume: 44, P: 991-1005

  • Raynaud’s phenomenon is a common vasospastic disorder, but the genetic origins of the condition are not well understood. Here, the authors find common genetic variants associated with Raynaud’s phenomenon, and find genes putatively involved in the disorder.

    • Sylvia Hartmann
    • Summaira Yasmeen
    • Claudia Langenberg
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-11

  • Luca Lotta, Robert Scott, Stephen O’Rahilly, Claudia Langenberg, David Savage, Nicholas Wareham, Inês Barroso and colleagues identify 53 genomic regions associated with insulin resistance phenotypes. Their findings suggest that limited storage capacity of peripheral adipose tissue is an important etiological component in insulin-resistant cardiometabolic disease and highlight genes and mechanisms underpinning this link.

    • Luca A Lotta
    • Pawan Gulati
    • Robert A Scott
    Research
    Nature Genetics
    Volume: 49, P: 17-26

  • Genetic factors have been found to be associated with severe COVID-19. Here, the authors integrated genomic, proteomic, and single-cell data to identify ELF5 as a candidate risk gene with a possible role in respiratory epithelial cells, which are targeted by SARS-CoV-2.

    • Maik Pietzner
    • Robert Lorenz Chua
    • Claudia Langenberg
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15

  • Koprulu et al. integrate antibody-based proteomic data with genomics to link protein-encoding genes to human metabolic disease.

    • Mine Koprulu
    • Julia Carrasco-Zanini
    • Claudia Langenberg
    Research
    Nature Metabolism
    Volume: 5, P: 516-528

  • A new study combines large-scale proteomics and machine learning to identify proteins that can be used to identify individuals with isolated impaired glucose tolerance, who would otherwise only be detectable with oral glucose tolerance tests.

    • Julia Carrasco-Zanini
    • Maik Pietzner
    • Claudia Langenberg
    Research
    Nature Medicine
    Volume: 28, P: 2293-2300

  • Broad-capture affinity-based proteomic technologies inform how the readout of our genes affects human health. Here, the authors integrate aptamer- and antibody-based profiling to understand the mechanisms underlying gene-protein-disease associations.

    • Maik Pietzner
    • Eleanor Wheeler
    • Claudia Langenberg
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-13

  • Finding effective treatments for COVID-19 depends upon understanding genetic regulation of proteins involved in SARS-CoV-2 infection and host response. Here, the authors identify genetic variants linked to expression of such proteins, data which could lead to the discovery of therapeutic targets.

    • Maik Pietzner
    • Eleanor Wheeler
    • Claudia Langenberg
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-14

  • Untargeted metabolomics profiling coupled with analysis of electronic health records in over 11,000 participants in the EPIC-Norfolk cohort reveals shared pathways that contribute to multimorbidity of noncommunicable diseases.

    • Maik Pietzner
    • Isobel D. Stewart
    • Claudia Langenberg
    Research
    Nature Medicine
    Volume: 27, P: 471-479

  • Epidemiological studies have associated circulating levels of the amino acid glycine with cardiometabolic outcomes. Here, in a genome-wide meta-analysis of 80,003 individuals, Wittemans et al. identify 22 novel genetic loci for glycine and find a causal relationship with coronary heart disease using MR.

    • Laura B. L. Wittemans
    • Luca A. Lotta
    • Claudia Langenberg
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-13

  • Multimorbidity is increasing globally, and addressing it requires a shift in the prevailing clinical, educational and scientific thinking. This Review discusses emerging mechanisms, research challenges and the implications for patients and healthcare systems.

    • Claudia Langenberg
    • Aroon D. Hingorani
    • Christopher J. M. Whitty
    Reviews
    Nature Medicine
    Volume: 29, P: 1649-1657

  • By the time diabetes is diagnosed, irreversible pathology is typically present, challenging therapeutic intervention. A reliable test for predicting diabetes risk could allow earlier implementation of intervention measures. Increased blood concentrations of amino acids are now suggested to predict risk of diabetes (pages 448–453), and amino acid profiling might also provide mechanistic insights into this disease.

    • Claudia Langenberg
    • David B Savage
    News & Views
    Nature Medicine
    Volume: 17, P: 418-420