A5070398357- Genetic Associations and Epidemiology
- Bioinformatics and Genomic Networks
- Chronic Disease Management Strategies
- Genomics and Phylogenetic Studies
- Endoplasmic Reticulum Stress and Disease
- Immune Cell Function and Interaction
- Wnt/β-catenin signaling in development and cancer
- Phagocytosis and Immune Regulation
- BRCA gene mutations in cancer
- Epigenetics and DNA Methylation
- Gene expression and cancer classification
- Pancreatic function and diabetes
- Genomics and Rare Diseases
- Cancer-related gene regulation
- Acute Myeloid Leukemia Research
- Genetic factors in colorectal cancer
- Alzheimer's disease research and treatments
- Cancer Genomics and Diagnostics
- Prostate Cancer Treatment and Research
- Genetic Mapping and Diversity in Plants and Animals
- Diabetes, Cardiovascular Risks, and Lipoproteins
University of Turku
2018-2024
Turku University Hospital
2021-2024
Prostate cancer is one of the most common and heritable human cancers. Our aim was to find germline biomarkers that can predict disease outcome. We previously detected predisposing signals at 2q37, location prostate specific ANO7 gene. To investigate, in detail, associations between gene PrCa risk aggressiveness, sequenced castration resistant tumors together with samples from unselected patients unaffected males. Two pathogenic variants were discovered genotyped 1769 1711 Expression vs....
A gene is a sequence of DNA bases through which genetic information passed on to the next generation. Most genes encode for proteins that ultimately control cellular function. Understanding interrelation between without application statistical methods can be daunting task. Correlation analysis powerful approach determine strength association two variables (e.g., gene-wise expression). Moreover, it becomes essential visualize this data establish patterns and derive insight. The most common...
The advent of high-throughput sequencing technologies has revolutionized the field genomic sciences by cutting down cost and time associated with standard methods. This advancement not only provided research community an abundance data but also presented challenge analyzing it. paramount in copious amount is using optimal resources terms available tools. To address this gap, we propose “Kuura—An automated workflow for WES WGS data”, which optimized both whole exome genome data. based on...