Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
RL Allesøe, AT Lundgaard, R Hernández Medina… - Nature …, 2023 - nature.com
The application of multiple omics technologies in biomedical cohorts has the potential to
reveal patient-level disease characteristics and individualized response to treatment …
reveal patient-level disease characteristics and individualized response to treatment …
A longitudinal big data approach for precision health
SM Schüssler-Fiorenza Rose, K Contrepois… - Nature medicine, 2019 - nature.com
Precision health relies on the ability to assess disease risk at an individual level, detect early
preclinical conditions and initiate preventive strategies. Recent technological advances in …
preclinical conditions and initiate preventive strategies. Recent technological advances in …
Integrating genetics with single-cell multiomic measurements across disease states identifies mechanisms of beta cell dysfunction in type 2 diabetes
Dysfunctional pancreatic islet beta cells are a hallmark of type 2 diabetes (T2D), but a
comprehensive understanding of the underlying mechanisms, including gene dysregulation …
comprehensive understanding of the underlying mechanisms, including gene dysregulation …
Expression-based network biology identifies alteration in key regulatory pathways of type 2 diabetes and associated risk/complications
U Sengupta, S Ukil, N Dimitrova, S Agrawal - PloS one, 2009 - journals.plos.org
Type 2 diabetes mellitus (T2D) is a multifactorial and genetically heterogeneous disease
which leads to impaired glucose homeostasis and insulin resistance. The advanced form of …
which leads to impaired glucose homeostasis and insulin resistance. The advanced form of …
A computational framework to integrate high-throughput '-omics' datasets for the identification of potential mechanistic links
We recently presented a three-pronged association study that integrated human intestinal
microbiome data derived from shotgun-based sequencing with untargeted serum …
microbiome data derived from shotgun-based sequencing with untargeted serum …
[HTML][HTML] Personal omics profiling reveals dynamic molecular and medical phenotypes
Personalized medicine is expected to benefit from combining genomic information with
regular monitoring of physiological states by multiple high-throughput methods. Here, we …
regular monitoring of physiological states by multiple high-throughput methods. Here, we …
Deep learning in pharmacogenomics: from gene regulation to patient stratification
This Perspective provides examples of current and future applications of deep learning in
pharmacogenomics, including: identification of novel regulatory variants located in …
pharmacogenomics, including: identification of novel regulatory variants located in …
Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention
Multiomic profiling can reveal population heterogeneity for both health and disease states.
Obesity drives a myriad of metabolic perturbations and is a risk factor for multiple chronic …
Obesity drives a myriad of metabolic perturbations and is a risk factor for multiple chronic …
Multi-omics integration in biomedical research–A metabolomics-centric review
Recent advances in high-throughput technologies have enabled the profiling of multiple
layers of a biological system, including DNA sequence data (genomics), RNA expression …
layers of a biological system, including DNA sequence data (genomics), RNA expression …
Heterogeneity in phenotype, disease progression and drug response in type 2 diabetes
ATN Nair, A Wesolowska-Andersen, C Brorsson… - Nature Medicine, 2022 - nature.com
Abstract Type 2 diabetes (T2D) is a complex chronic disease characterized by considerable
phenotypic heterogeneity. In this study, we applied a reverse graph embedding method to …
phenotypic heterogeneity. In this study, we applied a reverse graph embedding method to …