4. Genetics and disease 3 - polygenic disorders and somatic disease Flashcards
what are polygenic disorders?
- many genes or gene variants are involved
- inheritance is unclear due to the number of genes involved
- environmental risk factors
- genetic risk factors which usually lead to early onset
what are polygenic disorders also known as?
complex or multifactorial disorders
how are multiple genes involved in polygenic disorders?
- Epistasis
- Genetic heterogeneity
what is Epistasis?
the interaction between genes that are not alleles.
the expression of 1 gene or gene variant is dependant on the expression of another
what is genetic heterogeneity?
when multiple genes or genetic factors contribute to the phenotype
what kind of disease burden do polygenic disorders have?
a very high disease burden
How are polygenic disorders studied?
across a population - the larger the better
make a liability model
what is a liability model?
liability = the contributing factors to a disease
across the population it will show a normal distribution with a threshold above which disease develops
genetic factors can shift the curve increasing the risk of developing disease
what is heritability?
the proportion of disease risk that is attributed to genetic factors
how can we study heritability?
- twin studies to study phenotypic variations over time in different environments = environmental factors
- family studies to study siblings that genetically similar but not identical = genetic factors
- adoption studies which study siblings split and raised in different environments = environmental factors
Problems with genetic analysis: poor genotype/phenotype correlation
- genetic heterogeneity
- several susceptibility genes
- different susceptibility genes in different population
- variable penetrance - not all susceptible individuals are affected
- phenocopy
what is phenocopy?
when the disease is due to just environmental factors not any genetic factors
what are the methods of identifying genes in polygenic disorders?
- candidate genes = best guess
- linkage analysis = non parametric methods are more successful
- Association studies = genome wide association studies
what are genome-wide association studies (GWAS)?
- much more successful but you need a large cohort to get statistical significance
- SNPs
- screen the cohort
- HapMap
- thousand genomes project
what results do you get from a genome wide association study?
- case cohort = people with the disease
- control cohort = people without the disease
- sequencing the genome and see what SNPs are in the population and see if certain ones are elevated in the case cohort
- produce a manhattan plot with spikes at point with more common SNPs
how do you interpret a GWAS?
- the highest point is the lead SNP which is the most statistically significant SNP in the population but it is not always the causative SNP
- fine-mapping
- linkage disequilibrium