Search for dissertations about: "Genetics"
Showing result 1 - 5 of 1279 swedish dissertations containing the word Genetics.
-
1. Assessment of Novel Molecular Prognostic Markers in Chronic Lymphocytic Leukemia
Abstract : The clinical course of chronic lymphocytic leukemia (CLL) is highly heterogeneous, which has prompted the search for biomarkers that can predict prognosis in this disease. The IGHV gene mutation status and certain genomic aberrations have been identified as reliable prognostic markers of clinical outcome for this disorder. READ MORE
-
2. Application of Genomic and Expression Arrays for Identification of new Cancer Genes
Abstract : Copy number variation (CNV) comprises a recently discovered kind of variation involving deletion and duplication of DNA segments of variable size, ranging from a few hundred basepairs to several million. By altering gene dosage levels or disrupting proximal or distant regulatory elements CNVs create human diversity. READ MORE
-
3. Complex disease genetics : Utilising targeted sequencing and homogeneous ancestry
Abstract : The complex disease investigations presented in this thesis aimed to provide new information regarding underlying genetics by using targeted sequencing and ethnically homogeneous cohorts. This work moved past current methodologies and addressed data stratification issues, that might have been hindering new findings. READ MORE
-
4. Somatic Mutations in Breast Cancer Genomes : Discovery and Validation of Breast Cancer Genes
Abstract : Breast cancer is the most common cancer in women worldwide. However, the genetic alterations that lead to breast cancer are not fully understood. This thesis aims to identify novel genes of potential mechanistic, diagnostic or therapeutic interest in breast cancers by mutational analysis and whole-genome sequencing. READ MORE
-
5. Complex Trait Genetics : Beyond Additivity
Abstract : The link between the genotype and the phenotype of an organism is immensely complex. Despite this it can, to a great extent, be captured using models that assume that gene variants combine their effects in an additive manner. This thesis explores aspects of genetics that cannot be fully captured using such additive models. READ MORE
