A5000177890- Nutritional Studies and Diet
- Cardiovascular Health and Risk Factors
- Health Systems, Economic Evaluations, Quality of Life
- Blood Pressure and Hypertension Studies
- Nutrition, Genetics, and Disease
- Health Promotion and Cardiovascular Prevention
- Genetic Associations and Epidemiology
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Mobile Health and mHealth Applications
- Artificial Intelligence in Healthcare
- Cardiac Health and Mental Health
- Cancer Genomics and Diagnostics
- Liver Disease Diagnosis and Treatment
- Physical Activity and Health
- Genomics and Rare Diseases
- Adipose Tissue and Metabolism
- Genomics and Phylogenetic Studies
- Adipokines, Inflammation, and Metabolic Diseases
- Health and Lifestyle Studies
- Diet and metabolism studies
- Diabetes Management and Research
- Diabetes Management and Education
- GDF15 and Related Biomarkers
- Genetic factors in colorectal cancer
- Single-cell and spatial transcriptomics
University Medical Center Groningen
2018-2024
University of Groningen
2018-2024
Novo Nordisk Foundation
2022-2023
University of Copenhagen
2023
Foundation Center
2022
Novo Nordisk Foundation Center for Basic Metabolic Research
2022
Abstract The diagnostic yield of exome and genome sequencing remains low (8–70%), due to incomplete knowledge on the genes that cause disease. To improve this, we use RNA-seq data from 31,499 samples predict which specific disease phenotypes, develop GeneNetwork Assisted Diagnostic Optimization (GADO). We show this unbiased method, does not rely upon individual genes, is effective in both identifying previously unknown gene associations, flagging have been incorrectly implicated GADO can be...
Adipocyte function is a major determinant of metabolic disease, warranting investigations regulating mechanisms. We show at single-cell resolution that progenitor cells from four human brown and white adipose depots separate into two main cell fates, an adipogenic structural branch, developing common progenitor. The gene signature contains mitochondrial activity genes, associates with genome-wide association study traits for fat distribution. Based on extracellular matrix developmental...
Type 2 diabetes disproportionately affects individuals of non-White ethnicity through a complex interaction multiple factors. Therefore, early disease detection and prediction are essential require tools that can be deployed on large scale. We aimed to tackle this problem by developing questionnaire-based models for type prevalence incidence ethnicities.In proof principle analysis, logistic regression predict incidence, using questionnaire-only variables reflecting health state lifestyle,...
Abstract Clinical interpretation of exome and genome sequencing data remains challenging time consuming, with many variants unknown effects found in genes functions. Automated prioritization these can improve the speed current diagnostics identify previously disease genes. Here, we used 31,499 RNA-seq samples to predict phenotypic consequences We developed GeneNetwork Assisted Diagnostic Optimization (GADO), a tool that uses predictions combination patient’s phenotype, denoted using HPO...
Abstract The growing public interest in genetic risk scores for various health conditions can be harnessed to inspire preventive action. However, current commercially available deceiving as they do not consider other, easily attainable factors, such sex, BMI, age, smoking habits, parental disease status and physical activity. Recent scientific literature shows that adding these factors improve PGS based predictions significantly. implementation of existing models also requires reference data...
Maintaining an adequate micronutrient status can be achieved by following a complete, diverse diet. Yet, food trends in Western countries show suboptimal consumption of healthy nutrients. In this study, we explored the prevalence vitamin and mineral imbalances general population cohort Dutch adults evaluated effect digital lifestyle program on nutritional nutrition health behaviors these individuals. A panel was measured 348 participants, alongside dietary assessment. One hundred users...
Despite widespread education, many individuals fail to follow basic health behaviors such as consuming a healthy diet and exercising. Positive changes in lifestyle habits are associated with improvements multiple cardiometabolic risk factors, including lipid levels. Digital interventions have been suggested viable complement or potential alternative conventional behavior change strategies. However, the benefit of digital preventive for levels context remains unclear.This observational study...
Abstract Adipose tissue type and distribution are major determinants of metabolic disease, warranting investigations depot-defining mechanisms. Here we show that progenitor cells from four human brown white adipose depots separate into two main cell fates, a structural branch, during early differentiation at single resolution. The expresses Adiponectin is driven by an adipogenic transcriptional network including PPARG. Halfway through maturation, these have adipocyte signature regardless...
Many predictive models exist that predict risk of common cardiometabolic conditions. However, a vast majority these do not include genetic scores and distinguish between clinical requiring medical or pharmacological interventions pre-clinical risk, where lifestyle could be first-choice therapy. In this study, we developed, validated, compared the performance three decision rule algorithms including biomarkers, physical measurements, for incident coronary artery disease (CAD), diabetes (T2D),...
<sec> <title>UNSTRUCTURED</title> Research letter - no abstract </sec>
Background Overweight and obesity rates among the general population of Netherlands keep increasing. Combined lifestyle interventions (CLIs) focused on physical activity, nutrition, sleep, stress management can be effective in reducing weight improving health behaviors. Currently available CLIs for loss (CLI-WLs) consist face-to-face community-based sessions, which face scalability challenges. A digitally enabled CLI-WL with digital human components may provide a solution this challenge;...
Worldwide, it is estimated that at least one in four adults suffers from hypertension, and this number expected to increase as populations grow age. Blood pressure (BP) possesses substantial heritability, but also heavily modulated by lifestyle factors. As such, digital, lifestyle-based interventions are a promising alternative standard care for hypertension prevention management. In study, we assessed the prevalence of elevated high BP Dutch general population cohort undergoing health...
Maintaining an adequate micronutrient status can be achieved by following a complete, diverse diet. Yet, food trends in Western countries show suboptimal consumption of healthy nutrients. In this study we explored the prevalence vitamin and mineral imbalances general population cohort Dutch adults, evaluated effect digital lifestyle program on nutritional nutrition health behaviors these individuals. A panel was measured 348 participants, alongside dietary assessment. One-hundred users...
Abstract Background A wide range of predictive models exist that predict risk common lifestyle conditions. However, these have not focused on identifying pre-clinical higher groups would benefit from interventions and do include genetic scores. Objective To develop, validate, compare the performance three decision rule algorithms including biomarkers, physical measurements scores for incident coronary artery disease (CAD), diabetes (T2D), hypertension in general population against commonly...
Background: Type 2 diabetes disproportionately affects individuals of non-white ethnicity through a complex interaction multiple factors. Early disease prediction and detection is therefore essential requires tools that can be deployed at large scale. We aimed to tackle this problem by developing questionnaire-based models for type ethnicities.Methods: Logistic regression models, using questionnaire-only features, were trained on the White population UK Biobank, validated in five other...
Worldwide, it is estimated that at least 1 in 4 adults suffers from hypertension, and this number expected to increase as populations grow age. Blood pressure (BP) possesses substantial heritability, but also heavily modulated by lifestyle factors. As such, digital, lifestyle-based in-terventions are a promising alternative standard care for hypertension prevention man-agement. In study we assessed the prevalence of elevated high BP Dutch general pop-ulation cohort undergoing health...
Abstract The growing public interest in genetic risk scores for various health conditions may inspire preventive action. However, these can be deceiving as they do not consider other, easily attainable factors, such sex, BMI, age, smoking habits, parental disease status and physical activity. We show improved performance identifying the 10% most at-risk individuals type 2 diabetes (T2D) coronary artery (CAD) by including common factors. Incidence highest group increases from 3.2- 4.2-fold to...
<sec> <title>BACKGROUND</title> Overweight and obesity rates among the general population of Netherlands keep increasing. Combined lifestyle interventions (CLIs) focused on physical activity, nutrition, sleep, stress management can be effective in reducing weight improving health behaviors. Currently available CLIs for loss (CLI-WLs) consist face-to-face community-based sessions, which face scalability challenges. A digitally enabled CLI-WL with digital human components may provide a...
<sec> <title>BACKGROUND</title> Despite widespread education, many individuals fail to follow basic health behaviors such as consuming a healthy diet and exercising. Positive changes in lifestyle habits are associated with improvements multiple cardiometabolic risk factors, including lipid levels. Digital interventions have been suggested viable complement or potential alternative conventional behavior change strategies. However, the benefit of digital preventive for levels context remains...