Jaanika Kronberg
A5072431009- Genetic Associations and Epidemiology
- Metabolomics and Mass Spectrometry Studies
- Diet and metabolism studies
- Bioinformatics and Genomic Networks
- Environmental Toxicology and Ecotoxicology
- Marine Bivalve and Aquaculture Studies
- Gene expression and cancer classification
- Liver Disease Diagnosis and Treatment
- Nutrition, Genetics, and Disease
- Genomics and Rare Diseases
- Aquatic Invertebrate Ecology and Behavior
- Genetic Syndromes and Imprinting
- Renal Diseases and Glomerulopathies
- Wastewater Treatment and Nitrogen Removal
- Genetic Mapping and Diversity in Plants and Animals
- RNA modifications and cancer
- Machine Learning in Healthcare
- Birth, Development, and Health
- Extraction and Separation Processes
- Radiation Effects in Electronics
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- VLSI and Analog Circuit Testing
- Cognitive Abilities and Testing
- Ovarian function and disorders
University of Tartu
2021-2025
Maastricht University
2023
University of Liverpool
2021
Most existing TWAS tools require individual-level eQTL reference data and thus are not applicable to summary-level datasets. The development of methods that can harness is valuable enable in broader settings enhance power due increased sample size. Thus, we develop a framework called OTTERS (Omnibus Transcriptome Test using Expression Reference Summary data) adapts multiple polygenic risk score (PRS) estimate weights from conducts an omnibus TWAS. We show practical powerful tool by both...
Abstract Identifying individuals at high risk of chronic diseases via easily measured biomarkers could improve public health efforts to prevent avoidable illness and death. Here we present nuclear magnetic resonance blood metabolomics from half a million samples three national biobanks. We built metabolomic scores that identify high-risk group for each 12 cause the most morbidity in high-income countries show consistent cross-biobank replication relative disease these groups. are more...
Identifying individuals at high risk of chronic diseases via easily measured biomarkers could enhance efforts to prevent avoidable illness and death. Using 'omic data can stratify for many simultaneously from a single measurement that captures multiple molecular predictors risk. Here we present nuclear magnetic resonance metabolomics in blood samples 700,217 participants three national biobanks. We built metabolomic scores identify high-risk groups cause the most morbidity high-income...
Abstract Large biobanks have set a new standard for research and innovation in human genomics implementation of personalised medicine. The Estonian Biobank was founded quarter century ago, its biological specimens, clinical, health, omics, lifestyle data been included over 800 publications to date. What makes the biobank unique internationally is translational focus, with active efforts conduct clinical studies based on genetic findings, explore effects return results participants. In this...
<title>Abstract</title> Parent-of-origin effects (POEs) occur when the impact of a genetic variant depends on its parental origin. Traditionally linked to genomic imprinting, these are believed have evolved from conflict over resource allocation offspring, which results in opposing influences. Despite their potential importance, POEs remain heavily understudied complex traits, largely due lack genomes. Here, we present multi-step approach infer parent-of-origin alleles without genomes,...
<title>Abstract</title> Purpose: The purpose of this study was to find metabolic changes associated with incident hypertension in the volunteer-based Estonian Biobank. Methods: We used a subcohort Biobank where metabolite levels had been measured by mass-spectrometry (LC-MS, Metabolon platform). divided annotated metabolites 989 individuals into KEGG pathways, followed principal component analysis each pathway, resulting dataset 91 pathway components. Next, we defined cases and controls...
Abstract The purpose of this study was to find metabolic changes associated with incident hypertension in the volunteer-based Estonian Biobank. We used a subcohort Biobank where metabolite levels had been measured by mass-spectrometry (LC-MS, Metabolon platform). divided annotated metabolites 989 individuals into KEGG pathways, followed principal component analysis each pathway, resulting dataset 91 pathway components. Next, we defined cases and controls based on electronic health records,...
Genome-wide association studies (GWAS) have significantly advanced the understanding of genetic mechanisms underlying complex human diseases and traits by systematically identifying variants linked to diverse phenotype across populations. Large-scale analyses that combine multiple phenotypes are especially valuable, as they can reveal shared architectures patterns comorbidity, refining disease classification risk prediction. Here, we conducted comprehensive GWAS based on Estonian Biobank EHR...
Background/Objectives: Metabolomics, in combination with genetic data, is a powerful approach to study the biochemical consequences of variation. We assessed impact human gene knockouts (KOs) on metabolite levels Estonia Biobank (EstBB) participants and integrated results electronic health record data. Methods: In 150,000 EstBB genotyped participants, we identified 723 KOs 152 different predicted loss function (pLoF) variants 115 genes. For those 258 controls, 1387 metabolites were profiled...
Abstract A long-term objective of network medicine is to replace our current, mainly phenotype-based disease definitions by subtypes health conditions corresponding distinct pathomechanisms. For this, molecular and data are modeled as networks mined for However, many such studies rely on large-scale association where diseases annotated using the very field aims overcome. This raises question which extent biases mechanistically inadequate annotations introduce in distort results use...
The co-occurrence of multiple chronic conditions, termed multimorbidity, presents an expanding global health challenge, demanding effective diagnostics and treatment strategies. Chronic ailments such as obesity, diabetes, cardiovascular diseases have been linked to metabolites interacting between the host microbiota. In this study, we investigated impact co-existing conditions on risk estimations for 1375 plasma in 919 individuals from population-based Estonian Biobank cohort using liquid...
<title>Abstract</title> The co-occurrence of multiple chronic conditions, termed multimorbidity, presents an expanding global health challenge, demanding effective diagnostics and treatment strategies. Chronic ailments such as obesity, diabetes, cardiovascular diseases have been linked to metabolites interacting between the host microbiota. In this study, we investigated impact co-existing conditions on risk estimations for 1375 plasma in 919 individuals from population-based Estonian...
Abstract Interpreting genetic associations with complex traits can be greatly improved by detailed understanding of the molecular consequences these variants. However, although genome-wide association studies (GWAS) for common diseases routinely profile 1M+ individuals, phenotypes have lagged behind. We performed a GWAS meta-analysis 249 circulating metabolic in Estonian Biobank and UK up to 619,372 identifying 88,604 significant locus-metabolite 8,774 independent lead variants, including...
The monitoring of anthropogenic chemicals in the aquatic environment including their potential effects on organisms, is important for protecting life under water, a key sustainable development goal. In parallel with concentrations concern, sentinel species are often used to investigate biological contaminants. Among these, bivalve molluscs such as mussels filter-feeding and sessile, hence an excellent model system measuring localized pollution. This study investigates relationship between...
Parent-of-origin effects (POEs) occur when the impact of a genetic variant depends on its parental origin. Traditionally linked to genomic imprinting, these are believed have evolved from conflict over resource allocation offspring, which results in opposing influences. Despite their potential importance, POEs remain heavily understudied complex traits, largely due lack genomes. Here, we present multi-step approach infer parent-of-origin alleles without genomes, leveraging inter-chromosomal...
Abstract Introduction Epilepsy is a common central nervous system disorder characterized by abnormal brain electrical activity. We aimed to compare the metabolic profiles of plasma from patients with epilepsy across different etiologies, seizure frequency, type, and patient age try identify disrupted pathways. Material methods used data three separate cohorts. The first cohort (PED-C) consisted 31 pediatric suspicion genetic unclear etiology; second (AD-C) 250 adults Estonian Biobank...
<p class="first" dir="auto" id="d24259792e205">We hardly comprehend any disease mechanistically, meaning most definitions are organ- and symptom-based fail to represent the underlying mechanism of disease. Current therapies can thus only treat symptoms chronically yielding unprecise low patient-relevant outcomes ( <i>1</i>, <i>2</i>). Symptom-based also have risk agglutinating different molecular mechanisms that cause similar under umbrella terms. As a result, they combined into single...
Abstract The monitoring of anthropogenic chemicals in the aquatic environment including their potential effects on organisms, is important for protecting life under water, a key sustainable development goal. In parallel with concentrations concern, sentinel species are often used to investigate biological contaminants. Among these, bivalve molluscs such as mussels filter-feeding and sessile, hence an excellent model system measuring localized pollution.This study investigates relationship...