Principles Flashcards
Multifactorial 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 (genetic and enviro factors)
-no clear single gene identified
Among the most common diseases encountered in medical practice and include:
1. common adult onset disorders:
coronary artery disease autoimmune disorders Parkinson’s disease hypertension Alzheimer’s disease schizophrenia
diabetes (type 1 and type 2)
2. birth defects (e.g. congenital heart disease, spina bifida, cleft lip +/- cleft palate)
Genetic Factors in Disease
Cystic Fibrosis: Autosomal recessive disorder Mutation in CFTR gene Thick mucous secretions Recurrent chest infections Lung damage -Bronchiectatic lung (widely dilated BV clogged up with mucoid secretions/consolidation) -Monogenic, single gene disorder
Environmental Factors in Disease
Asbestosis:
- predominantly environmental in its origin
- Work related exposure to asbestos fibres (demolishen industry, or early engineering or plumbing industry, where asbestis in cladding of fibres)
- are carcinocenic
- Lung and pleural fibrosis
- Mesothelioma (rare tumour but directly related to the carginogenic effects of asbestis
Multifactorial disease Inheritance
Now recognition of the inheritance of gene(s) (genetic factors) which predispose towards disease, or modify the course of the disease process e.g. Crohn’s disease
Crohn’s disease =Inflammatory Bowel Disease = Genetic susceptibility + Infectious disease + Immune response
-when susceptibility genes are placed in appropriate environmental exposures (microbial, dietary or mixture) results in abnormal information –> Crohn’s disease
-Some genetic predisposing genes can be polymorphisms in immune response genes in gut transport proteins within bacterial recognition genes
-Polymorphisms: mild variations/single base changes. On its own wont cause disease:
-but when sufficient number together, in the correct environment events = development of disease
Multifactorial disease graph **
Genetics/Environment
- Monogenic diseases (CF)
- Combination of hereditary predisposition and environmental factors
- majority seen in clinical practice
- asthma, diabetes, hypertension etc
- interaction of genetic landscape and enviro - Environmental factors (e.g. injuries, nutrition) (almost entirely enviro disorders)
Pathology of Multifactorial inheritance
Inheritance of common alleles that have small to moderate effects
Genes that have greater phenotypic impact when combined than they do separately (POLYGENIC traits)
Impact of MODIFIER genes (genes not susceptibility but modify (melanoma))
Chrons disease predisposition genetic risk factors would be modifying genes - body’s immune response to different gut bacteria
Interactions among genes and epigenetic factors (acquired and developmental) - recognise changes in gene packaging in chromosome (methylation) resulting in up or down regulation of specific genes expression
Interactions between genes and environmental factors
Epigenetic factors
(acquired and developmental) - recognise changes in gene packaging in chromosome (methylation) resulting in up or down regulation of specific genes expression
Have epigenetic modifier drugs in clinical trial/practice for cancer area
Pathology of multifactorial inheritance
High risk of early Heart Disease
-ONLY in overlap
-Needs both Environment AND genetic predisposition
Coronary artery disease:
Genetic risk Factors: Low –Clotting g –High Cholesterol g – BP g – Heart Failure g – unknown g –> High
- clotting: makes blood more hyper coaguable
Environmental Risk Factors: High
Modifier Genes
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
- influence pigmentation
- changes in a/acid sequence within melanocortin-1 receptor
- alters the severity of the melanoma (size, depth, invasion into nerves/BV)
Threshold Model for Polygenic Trait
Assumes that all individuals have a susceptibility to develop the trait (due to genetic and environmental factors) but a threshold must be reached before it is expressed
The normal distribution curve (bell curve) for individuals from families who have demonstrated a trait is farther to the right along the risk axis
As more individuals are reported in the family, the curve shifts even more to the right
-polygeneic disease= accumulation of at risk genes
-threshold/liability threshold= influenced by number of at risk/susceptibility genes
Identification of Multifactorial Threshold Trait
- Disorders can be common (but can also be rare) (asthma, diabetes vs congenital cleft palate)
- Disorder runs in families, but no distinctive pattern of inheritance (alerts to genetic predisposition. but inheritance pattern doesnt fit into clear Mendalian inheritance patterns)
- Concordance rate in monozygotic twins (20-40%) is greater than in dizygotic twins
- Frequency of disease in 2nd degree relatives much lower than 1st degree, but declines less rapidly for more distant relatives (due to having multiple susceptibility genes, declines less rapidly, seen in more distant relatives)
- Recurrence risk is proportional to number of family members already affected (allelle burden, or number of genes involved)
- Recurrence risk is proportional to the severity of the condition in the proband (reflects concentration of adverse alleles) eg cleft palate (unilateral (single) cleft palate = 2% risk in subsequent siblings) (bilateral cp = increased 6-7% risk = due to number of different alleles/bad risk alleles more present)
Linkage analysis
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
This was how causative genes were identified in single gene disorders
Linkage analysis and Multifactorial 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
- any single allele may not always be associated w disease phenotype
- has been less applicable/easy
Genome-Wide Association Studies (GWAS)
Examine many common genetic variants in different individuals to see if any variant is associated with a trait
GWAS typically focus on associations between single nucleotide polymorphisms (SNPs; occur every 100-300 bp) and multifactorial diseases
-SNPs are variation that we all have. inherited. mainly in non-coding region.
-look for association between SNPs and disease
Variable results
Genome-Wide Association Studies (GWAS) Graph
Rare, High risk (Mendelian) variants
Rare, Low-risk variants, hard to identify genetically
Low frequency variants with intermediate effects
Common variants of modest effect - require interaction with other gene and enviro factors