Detection of somatic variants from genomic data and their role in neurodegenerative diseases
Year: 2019
Type: dissertation
Abstract: Somatic mutations are those that arise after the zygote is formed and are therefore inherited by a fraction of the cells of an individual. Their relevance in certain skin diseases has been known for almost half a decade and cancer, the most common disease caused by somatic mutations, has been extensively studied. Yet, their prevalence in healthy individuals as well as their putative role in other human disorders such as neurodegenerative diseases are still unanswered questions. Furthermore, accurate detection of somatic variants from bulk sequencing data still poses a technical challenge. This work focuses on detecting and circumventing the biases that hinder their identification. Using this knowledge, we identified somatic point mutations in the exomes of five different tissues from sporadic Parkinson disease patients. We also assessed the detection of somatic copy number variants from array CGH data using two tissues from Alzheimer disease patients. Finally, we participated in the identification of somatic variants in an extensive genomic dataset from a neurotypical individual.
Author: Irene Lobón García
Language: English
Topic: Genomics and Rare Diseases
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W2978304282