Genetics of Common Disorders with Complex Inheritance Flashcards
Multifunction Disorders
Diseases that result from the interaction of multiple genes, often with additional influences of environmental factors. Most diseases are multifactorial.
3 Characteristics of Multifactorial Disorders
1) Occurs more frequently in relatives of an affected individual than in the general population (relative risk ration is greater than 1)
2) Does not follow any of the classical mendelian inheritance patterns
3) The recurrence risk for a family member is determined using empirically derived risk tables for individual diseases when available
Define the terms qualitative or dichotomous trait and quantitative or continuous trait and explain how they differ
Qualitative traits (or dichotomous traits) are the classical mendelian traits. They are either present or not present. Such an example would be if a pea is round or wrinkled. Quantitative traits (or continuous traits) are those that have a measurable phenotype that depend of the cumulative actions of many genes and the environment. Such examples are height, weight, IQ, blood pressure, etc.). Complex traits can be either qualitative or quantitative and this is why they are more complex. Simple mendelian rules simply can’t apply in these situations.
Comparions:
1) Mendelian traits are qualitative or dichotomous, they are either present or not.
2) Mendelian traits are almost always attributable to different alleles of single genes.
3) Mendelian traits follow simple rules of inheritance, permitting recurrence risk to be calculated for family members.
4) Complex traits can be either continuous (quantitative) like height, weight, etc or qualitative (present or absent)
5) Complex traits result from the contributions of multiple genes with or without environmental influences
6) Recurrence risk for a family member is determined using empirically generated risk tables that were generated from studies.
7) Large scale studies to identify genetic risk factors for diseases may make it possible to estimate the risk for an individual
Explain how the multigenic theory of quantitative traits can be modified to account for the existence of qualitative or dichotomous traits that are inherited in a complex manner
For complex traits, the simple rules that describe mendelian inheritance cannot be used to calculate risk. Quantitative traits are described by a continuous distribution of numerical values that usually take the form of a Normal (Gaussian) Distribution about a population mean. For many traits, “normal” range=mean +/- 2 SD.
Traits governed by a large number of factors (genes) would display the same type of continuous distribution as seen for quantitative traits. As more genes or possibilities are added it will change the spread or variance. (SD=Square root of variance so Variance is SD^2). So as more genes are added, the curve becomes more spread out or “diluted”. With less genes there is a big peak.
Polygenic traits are characterized by a continuous distribution of values about a population mean. So how is it that polygenic disorders are qualitative (dichotomous) or mendelian like inheritance in nature where you either have it or you don’t. Douglas Falconer postulated an underlying continuously variable susceptibility that is polygenic and follows Gaussian distribution in the population. He further postulated a critical threshold value for the susceptibility above which these diseases are likely to manifest. This threshold is dependent on the disease.
Define the term heritability in relation of complex traits
Complex traits are “heritable” but there are many genes that come into play and thus the risk can’t simply be determined like that of normal mendelian genetics. There are risk tables that will show what ones risk is for a disease based on inheriting it from a parent.
Define the terms concordance and discordance
Concordance describes the likelihood that an individual will share a common phenotype with another family member, e.g. to be affected by the same disease. Discordance describes the likelihood of two family members will not share a common phenotype.
Those with a closer degree of relationship are likely to have a higher concordance.
Define relative risk and describe how it is calculated.
The relative risk ratio is a quantitative measure of the degree of familial aggregation of a disease. (Lambda(r)).
LAMBDA(r) = Prevalence of the disease in the relatives of an affected person / Prevalence of the disease in the general population
If it is greater than 1, it shows that there is a genetic component to the disease.
Describe monozygotic and dizygotic twinning
Monozygotic twins are identical twins that share an identical genome. Dizygotic twins are fraternal and thus do not contain identical genetic information. By studying twins, one can see if a disease is strictly genetic or if there are environmental factors that come into play as well. If the concordance in monozygotic twins is less than 100% (because they should hypothetically have the same disease) then it shows that it is more than just genetic and that other non genetic factors are likely playing a role. Greater concordance in monozygotic twins than dizygotic twins also shows that it is likely a genetic defect. If the monozygotic twins are separated (different environments) and still share a similar concordance to those that are not in different environments shows that genetic factors are more important than environmental ones.
Estimate the proportion of alleles an individual has in common with another relative
This is determined via the degree of relatedness. Thus, close relatives are likely to share more genes in common that more distant relatives.
1) Monozygotic twins share 100%
2) Dizygotic twins are primary so share 50%
3) Parents and children are primary so share 50%
4) Second degree relatives like grandson and and grandparent are 25% (1/2)^2.
(1/2)^n where n is the degree of relationship
Explain how concordance rates between monozygotic and dizygotic twins are used to evaluate the relative contributions of genes and environment to a complex disorder
Looking at monozygotic twins who have 100% same genetic material, one can see, if they are in different environments, if that played a role on disease expression. If they vary, it is likely because environmental factors came into play. Looking at dizygotic twins then, it should show a lower concordance in dizygotic twins than monozygotic twins because they should not contain 100% identical genome and thus not have the same disorder as frequently.
Describe a normal or Gaussian distribution and explain its relevance to quantitative traits in a human population
Although complex disorders can be qualitative or quantitative, they can be explained in terms of disease susceptibility, which is a quantitative trait based on the interactions between multiple genes and environmental factors. Although there is no simple method to measure susceptibility for complex disorders, many important continuous (quantitative) biological traits like body mass index (BMI), blood pressure, forced expiratory values (FEV) and IQ can be measured. Some of these, like BMI can then be linked to diseases like heart disease. The distribution of values for quantitative traits in a population usually takes the form of a norm or Gaussian distribution.
A normal Gaussian distribution is described by two terms, mean and variance, which is equal to the square of the standard deviation. The value of the variance is related to the contribution of genes and environment to the trait.
Mean
The mean is the “middle” or the highest point of the graph where all the others seems to be localize around. It is described by mu.
Variance
Variance is equal to the square of the standard deviation.(SD^2). The value of the variance is related to the contribution of genes and environment to the trait. It is the measurement of the “spread” around the mean. The more spread out the graph is, the greater the variance, more compact, the smaller. Variances are additive when they are due to different causes e.g. genes and environment. Vp = Ve + Vg or SDp^2 = SDe^2 + SDg^2
Standard Deviation
The SD = the square root of the variance. It is a defined percentage of the data and as the SD decreases, the variance will as well. The larger it is, the more spread out and shorter the curve, the smaller, the more compact and taller it is.
Explain the relationship between variance and the contributions of genes and environment to quantitative traits
As more genes and environmental factors come into play, the variance tends to be even more spread, thus resulting in a normal curve that is more spread out and shorter. They determine the variance which determines the breadth of the curve