Sökning: "Polygenic prediction models"

Hittade 3 avhandlingar innehållade orden Polygenic prediction models.

  1. 1. Taxane-Induced Peripheral Neuropathy among Early-Stage Breast Cancer Survivors : Prevalence, Risk Factors, Quality of Life and Genetic Prediction Models

    Författare :Kristina Engvall; Elisabeth Åvall-Lundqvist; Henrik Gréen; Niklas Loman; Linköpings universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Early-stage breast cancer; Taxane; Chemotherapy-induced peripheral neuropathy; Risk factors; Polygenic prediction models;

    Sammanfattning : Background: Taxane-induced peripheral neuropathy (TIPN) is a common and distressful side effect. Little is known on how long TIPN persist and its effect on health-related quality of life (HRQL). LÄS MER

  3. 2. Pharmacogenetic biomarkers for chemotherapy-induced adverse drug reactions

    Författare :Niclas Björn; Henrik Green; Svante Vikingsson; Joakim Lundeberg; Johan Staaf; Linköpings universitet; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES;

    Sammanfattning : Cancer is a serious disease expected to be the world-leading cause of death in the 21st century. The use of harsh chemotherapies is motivated and accepted but, unfortunately, is often accompanied by severe toxicity and adverse drug reactions (ADRs). LÄS MER

  4. 3. Genetic epidemiology of cardiometabolic biomarkers : twin studies in the genomic era

    Författare :Xu Chen; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :;

    Sammanfattning : Following the Human Genome Project, many genomic approaches have been developed in genetic epidemiology to investigate the genetic influences on human complex traits. This thesis aims to answer four genetic epidemiological questions for cardiometabolic biomarkers/ traits, by using classical twin studies and novel genomic methods. LÄS MER