A5035278938- Genetic Associations and Epidemiology
- Cancer Genomics and Diagnostics
- Bioinformatics and Genomic Networks
- Lung Cancer Treatments and Mutations
- Lipoproteins and Cardiovascular Health
- Gene expression and cancer classification
- Colorectal Cancer Treatments and Studies
- Genetic and phenotypic traits in livestock
- Biomedical Text Mining and Ontologies
- Child Abuse and Trauma
- Genomics and Phylogenetic Studies
- Renal cell carcinoma treatment
- Medical Imaging and Analysis
- Adolescent and Pediatric Healthcare
- Tryptophan and brain disorders
- Genetic factors in colorectal cancer
- Microscopic Colitis
- Cancer Immunotherapy and Biomarkers
- Radiomics and Machine Learning in Medical Imaging
- Stress Responses and Cortisol
- Lung Cancer Research Studies
- Spine and Intervertebral Disc Pathology
- Musculoskeletal pain and rehabilitation
- Machine Learning in Healthcare
- Inflammatory Bowel Disease
Aalborg University Hospital
2023-2025
Aalborg University
2017-2024
University of Copenhagen
2020-2022
Lundbeck (Denmark)
2020-2021
In a per-protocol analysis of molecularly profiled patients with treatment-refractory, end-stage cancer discussed at the National Molecular Tumor Board (NMTB), we aimed to assess overall survival (OS) outcome targeted treatment compared no treatment.
Abstract The genetic architecture of antidepressant response is poorly understood. Polygenic risk scores (PRS), exploration placebo and the use sub-scales might provide insights. Here, we investigate association between PRSs for relevant complex traits to vortioxetine treatment using clinical scales, including self-reported assessments. We collected a test sample Major Depressive Disorder (MDD) patients treated with ( N = 907) or 455) from seven randomized, double-blind, trials. In parallel,...
This Danish nationwide genome-wide association study aims to identify biomarkers of severe vs less ulcerative colitis.
Abstract Estimation of relatedness between pairs individuals is important in many genetic research areas. When estimating relatedness, it to account for admixture if this present. However, the methods that can are all based on genotype data as input, which a problem low-depth next-generation sequencing (NGS) from genotypes called with high uncertainty. Here, we present software tool, NGSremix, maximum likelihood estimation admixed NGS data, takes uncertainty into via likelihoods. Using both...
Abstract Perturbation of lipid homoeostasis is a major risk factor for cardiovascular disease (CVD), the leading cause death worldwide. We aimed to identify genetic variants affecting levels, and thereby CVD, in Greenlanders. Genome-wide association studies (GWAS) six blood lipids, triglycerides, LDL-cholesterol, HDL-cholesterol, total cholesterol, as well apolipoproteins A1 B, were performed up 4473 For genome-wide significant variants, we also tested associations with additional traits,...
Paroxetine and sertraline are the only FDA approved drugs for treatment of posttraumatic stress disorder (PTSD). Although both show better outcomes than placebo, not all patients benefit from treatment. We examined predictors latent classes SSRI response in with PTSD. Symptom severity was measured over a 12-week period 390 suffering PTSD treated open-label or paroxetine double-blinded placebo. First, growth curve modeling (GCM) used to examine population-level response. Second, mixture (GMM)...
Our goal was to describe a precision medicine program in regional academic hospital, characterize features of included patients and present early data on clinical impact.We prospectively 163 eligible with late-stage cancer any diagnosis from June 2020 May 2022 the Proseq Cancer trial. Molecular profiling new or fresh frozen tumor biopsies done by WES RNAseq parallel sequencing non-tumoral DNA as individual reference. Cases were presented at National Tumor Board (NMTB) for discussion targeted...
Abstract A better understanding of the biological factors underlying antidepressant treatment in patients with major depressive disorder (MDD) is needed. We perform gene expression analyses and explore sources variability peripheral blood related to response suffering from recurrent MDD at baseline after 8 weeks treatment. The study includes 281 patients, which were randomized vortioxetine ( N = 184) or placebo 97). To our knowledge, this largest dataset including both placebo-controlled...
Not all patients with advanced non-small cell lung cancer (NSCLC) benefit from immune checkpoint inhibitors (ICIs). Therefore, we aimed to assess the predictive potential of gene expression profiling (GEP), peripheral counts, and clinical characteristics.The primary endpoint this prospective, observational study was a durable (DCB) defined as progression-free survival >6 months. In subgroup histological biopsies sufficient quality (n = 25), GEP performed using nCounter® PanCancer IO 360...
<ns3:p>Patient classification based on clinical and genomic data will further the goal of precision medicine. Interpretability is particular relevance for models data, where sample sizes are relatively small (in hundreds), increasing overfitting risk netDx a machine learning method to integrate multi-modal patient build classifier. Patient converted into networks similarity, which intuitive clinicians who also use similarity medical diagnosis. Features passing selection integrated, new...
In 2020 we initiated a 10-year precision medicine program based on in-house whole exome sequencing (WES) and RNA (RNAseq) at Aalborg University Hospital, Denmark - midsize, regional public academic hospital. Here present updated results of the clinical impact in first three years. We included 236 eligible, adult patients with late-stage cancer any diagnosis from June to May 2023 Proseq Cancer trial. Molecular profiling new or fresh frozen tumor biopsies was done by WES RNAseq parallel...
Patient classification based on clinical and genomic data will further the goal of precision medicine. Interpretability is particular relevance for models data, where sample sizes are relatively small (in hundreds), increasing overfitting risk netDx a machine learning method to integrate multi-modal patient build classifier. converted into networks similarity, which intuitive clinicians who also use similarity medical diagnosis. Features passing selection integrated, new patients assigned...
Abstract Estimation of relatedness between pairs individuals is important in many genetic research areas. When estimating relatedness, it to account for admixture if this present. However, the methods that can are all based on genotype data as input, which a problem low depth next-generation sequencing (NGS) from genotypes called with high uncertainty. Here we present software tool, NGSremix, maximum likelihood estimation admixed NGS data, takes uncertainty into via geno-type likelihoods....
Abstract Perturbation of lipid homeostasis is a major risk factor for cardiovascular disease (CVD), the leading cause death worldwide. We aimed to identify genetic variants affecting levels, and thereby CVD, in Greenlanders. Genome-wide association studies (GWAS) six blood lipids, triglycerides, LDL-cholesterol, HDL-cholesterol, total cholesterol, as well apolipoproteins A1 B, were performed up 4473 For genome-wide significant variants, we also tested associations with additional traits,...