Sökning: "GWAS"

Visar resultat 1 - 5 av 22 uppsatser innehållade ordet GWAS.

  1. 1. Neural networks for imputation of missing genotype data : An alternative to the classical statistical methods in bioinformatics

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Alfred Andersson; [2020]
    Nyckelord :genetics; imputation; bioinformatics; neural networks; GWAS;

    Sammanfattning : In this project, two different machine learning models were tested in an attempt at imputing missing genotype data from patients on two different panels. As the integrity of the patients had to be protected, initial training was done on data simulated from the 1000 Genomes Project. LÄS MER

  2. 2. Genome-wide association study to find SNPs associated with circulating levels of the protein FGF-21

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Rebecca Risslén; [2020]
    Nyckelord :GWAS;

    Sammanfattning : Colorectal cancer (CRC) is one of the most common types of cancer globally. In Sweden, every year over 6000 individuals are diagnosed with CRC making it the fourth most common form of cancer in the country. The symptoms of the disease occur late in its development, therefore diagnosis is often delayed, which has a negative effect on mortality. LÄS MER

  3. 3. Is it possible to improve the bovine immune response to mastitis using immunogenetics?

    Kandidat-uppsats, SLU/Dept. of Biomedical Sciences and Veterinary Public Health

    Författare :Emelie Björnhagen; [2019]
    Nyckelord :bovine; immunology; genetics; breeding; mastitis;

    Sammanfattning : Mastitis is a major problem for cows all over the world. For decades selection against mastitis has been performed through direct and indirect selection. Favorable outcomes of reduced mastitis incidence include: Economic gains, reduced use of antibiotics as well as improved animal welfare. LÄS MER

  4. 4. Disease modules identification in heterogenous diseases with WGCNA method

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Naseem Ullah; [2019]
    Nyckelord :disease module; WGCNA; parameter settings;

    Sammanfattning : The widely collected and analyzed genetic data help in understanding the underlying mechanisms of heterogeneous diseases. Cellular components interact in a network fashion where genes are nodes and edges are the interactions. LÄS MER

  5. 5. Karakterisering av riskfaktorer kopplade till multipel skleros med hjälp av sjukdoms-moduler

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Ola Bengtsson; [2019]
    Nyckelord :;

    Sammanfattning : Multiple sclerosis is a common neurological disorder, characterized by increasing disability over time for the affected patient. The disease is considered an autoimmune disorder in which the immune system causes damage to nerves in the central nervous system through demyelination and inflammation. LÄS MER