Principles to multifactoral genetic diseases Flashcards
What are mulitfactoral genetic diseases
Multifactorial (complex) diseases are non-Mendelian disorders
that occur in families more frequently than permitted by
chance alone, but show no clear classical pattern of
inheritance
Examples of multifactoral diseases
coronary artery disease autoimmune disorders
congestive heart failure Parkinson’s disease
hypertension
Alzheimer’s disease
stroke
schizophrenia
3 main polygenic Risk Factors in
Disease
- Genetic suspectiability
- Infectious disease
3.Immune response
What are modifier genes and example
Not associated with the disease origin, but once
disease susceptibility is present or the disease has
developed, these genes modify the severity of
disease phenotype
e.g. the melanocortin-1 receptor gene is
a modifier gene for melanoma
Features of multifactorial /
polygenic disorders
-reoccurance risk based on
Disorder runs in families, but no distinctive pattern of
inheritance
Recurrence risk is proportional to number of family members
already affected AND Recurrence risk is proportional to the severity of the condition
in the proband (reflects concentration of adverse alleles)
What is linkage
Linkage analysis looks for co-transmission of
disease with polymorphisms of possible linked
genetic markers
When a disease affects 1st degree relatives
(siblings, parent, child), genetic analysis can be
performed to determine whether a genetic locus
can be linked to the phenotype
Why is linkage anaylsis not really used in multifactoral diseases?
Multifactorial diseases can also be analysed for linkage but it is more challenging because of causation generally by a combination of genetic polymorphisms resulting in subtle changes in gene interactions/gene expression levels
Affected siblings are likely to share chromosomal regions that
carry a disease-related locus, therefore analysis is often
directed at multiple sibling pairs
What is Genome-Wide Association
Studies (GWAS)
Examine many common genetic variants in
different individuals to see if any variant is
associated with a trait
Personalised vs Precision
Medicine
Personalised Medicine
refers to the utilisation of individual genetic information and DNA-based technologies to make decisions aimed at maintaining health, preventing disease or improving outcomes of disease
Precision medicine
involves the creation of a dynamic infrastructure where patients’ health information (including genetics, blood test results, responses to medications and reactions to therapies) would be accessible to scientists – and where discoveries made in the laboratory could inform patient care
Examples of Personalised / Precision Medicine methods
Prevention: identify those at greatest risk of disease from ‘adverse lifestyle’ e.g. smoking, high alcohol intake, obesity, sun exposure
Screening: identify high risk individuals for prioritised screening
e.g. earlier age, more frequent, greater sensitivity
Diagnosis: pre-symptomatic diagnosis; DNA-based tests that provide diagnosis before other (often invasive) studies
Prognosis: identify disease process that may be aggressive and require
alternative therapeutic approach
Drug efficacy: identify patients who will receive greatest benefit from a
particular drug (avoiding ‘try and see’ approach)
Drug tolerance: identify patients likely to experience drug side-effects, who would benefit from either a lower dose of the drug or an alternative agent