Thjodbjorg Eiriksdottir
A5071943400- Genetic Associations and Epidemiology
- Advanced Proteomics Techniques and Applications
- GDF15 and Related Biomarkers
- Diet, Metabolism, and Disease
- Endoplasmic Reticulum Stress and Disease
- Lipoproteins and Cardiovascular Health
- Epigenetics and DNA Methylation
- Lymphoma Diagnosis and Treatment
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Liver Disease Diagnosis and Treatment
- Frailty in Older Adults
- Acute Myeloid Leukemia Research
- Bioinformatics and Genomic Networks
- Genetic Syndromes and Imprinting
- Biological Research and Disease Studies
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Nutrition and Health in Aging
- Monoclonal and Polyclonal Antibodies Research
deCODE Genetics (Iceland)
2021-2024
High-throughput proteomics platforms measuring thousands of proteins in plasma combined with genomic and phenotypic information have the power to bridge gap between genome diseases. Here we performed association studies Olink Explore 3072 data generated by UK Biobank Pharma Proteomics Project
Nonalcoholic fatty liver (NAFL) and its sequelae are growing health problems. We performed a genome-wide association study of NAFL, cirrhosis hepatocellular carcinoma, integrated the findings with expression proteomic data. For we utilized 9,491 clinical cases proton density fat fraction extracted from 36,116 magnetic resonance images. identified 18 sequence variants associated NAFL 4 cirrhosis, found rare, protective, predicted loss-of-function in MTARC1 GPAM, underscoring them as potential...
Clonal hematopoiesis (CH) arises when a substantial proportion of mature blood cells is derived from single hematopoietic stem cell lineage. Using whole-genome sequencing 45,510 Icelandic and 130,709 UK Biobank participants combined with mutational barcode method, we identified 16,306 people CH. Prevalence approaches 50% in elderly participants. Smoking demonstrates dosage-dependent impact on risk CH associates several smoking-related diseases. Contrary to published claims, find no evidence...
Importance Whether protein risk scores derived from a single plasma sample could be useful for assessment atherosclerotic cardiovascular disease (ASCVD), in conjunction with clinical factors and polygenic scores, is uncertain. Objective To develop ASCVD prediction compare them to primary secondary event populations. Design, Setting, Participants The analysis was retrospective study of events among 13 540 individuals Iceland (aged 40-75 years) proteomics data no history major at recruitment...
Abstract Predicting all-cause mortality risk is challenging and requires extensive medical data. Recently, large-scale proteomics datasets have proven useful for predicting health-related outcomes. Here, we use measurements of levels 4,684 plasma proteins in 22,913 Icelanders to develop predictors both short- long-term risk. The participants were 18-101 years old with a mean follow up 13.7 (sd. 4.7) years. During the study period, 7,061 died. Our proposed predictor outperformed, survival...
The authors have withdrawn this manuscript because paper was posted prematurely in advance of a UK Biobank Pharma Proteomics Project consortium effort. Therefore, the do not wish work to be cited as reference for project. If you any questions, please contact corresponding author