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 1–7 of 7 results
Advanced filters: Author: Vardhman K. Rakyan Clear advanced filters
  • The incidence of type 1 diabetes is increasing, potentially implicating non-genetic factors. Here the authors conduct an epigenome-wide association study in disease-discordant twins and find increased DNA methylation variability at genes associated with immune cell metabolism and the cell cycle.

    • Dirk S. Paul
    • Andrew E. Teschendorff
    • R. David Leslie
    ResearchOpen Access
    Nature Communications
    Volume: 7, P: 1-11
  • An inability to estimate absolute DNA methylation levels has slowed progress in understanding the role of this epigenetic modification in health and disease. Down et al. describe an algorithm for analyzing methylated DNA immunoprecipitation profiles generated using either high-throughput sequencing or oligonucleotide arrays.

    • Thomas A Down
    • Vardhman K Rakyan
    • Stephan Beck
    Research
    Nature Biotechnology
    Volume: 26, P: 779-785
  • It has long been recognized that some phenotypic variation in mammals cannot be explained by known genetic or environmental variables. Here, the authors show that the absence of Nnat expression is associated with polyphenism in mice with the same genotype. Broadly consistent effects are also found in humans.

    • Michelle L. Holland
    • Vardhman K. Rakyan
    News & Views
    Nature Metabolism
    Volume: 4, P: 1091-1092
  • Technological advances now allow large-scale studies of human disease-associated epigenetic variation, specifically variation in DNA methylation. Such epigenome-wide association studies present novel opportunities, but, as discussed here, they also create new challenges that are not encountered in genome-wide association studies.

    • Vardhman K. Rakyan
    • Thomas A. Down
    • Stephan Beck
    Reviews
    Nature Reviews Genetics
    Volume: 12, P: 529-541
  • Many genetic variants have been associated with body size, but the contribution of copy number of rDNA is unknown. Here, the authors explore the association between rDNA copy number and body size in both rats and humans, finding that lower rDNA CN is associated with higher weight and BMI.

    • Pui Pik Law
    • Liudmila A. Mikheeva
    • Michelle L. Holland
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-11
  • The identification of patient-specific disease mechanisms and druggable targets is crucial for precision medicine in glioblastoma. Here, the authors show that comparing patients-matched glioma-initiating cells with neural stem cells enables the discovery of patient-specific mechanisms of disease and the identification of effective drugs

    • Claire Vinel
    • Gabriel Rosser
    • Silvia Marino
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-20