Lecture 4: Mendelian Genetics Flashcards
Probability
Likelihood of the occurrence if a particular event
- 0 = not gonna happen
- 1 absolutely gonna happen
Multiplication rule
Multiply the probability o independent events happening simultaneously
- what is the probability of rolling a 4 twice in a row?
= 1/6 x 1/6 = 1/36
Addition rule
When two events are mutually exclusive the probability that EITHER A or B will occur
What is the probability of rolling EITHER a 3 or a 4 on a given rolll?
- 1/6 + 1/6 = 2/6
Phenotype and ration
The physical appearance of the gene (blue hair, green eyes…)
- Aa x Aa parents = 3:1
- Aa x aa parents = 1:1
Genotypic and ratios
The genes involved that create the trait
- Aa x Aa parent = 1:2:1
- Aa x aa or AA x AA parent = 1:1
Conditional probability
Probability of an event A, given that event B has already occurred
What is the formula for two variables an what are they
(P+q)^n
P = frequency of an outcome
Q = frequency of another outcome
N = number of events
P+Q = 1
Dihybrid cross
Involve 2 traits weigh differing alleles
- by observing the two traits Mendel was able to reveal the principle of independence assortment
Independent assortment
Results from the independent separation of chromosomes in anaphase 1
Chi squared goodness of fit
Test that indicated the probability that the difference between the observed and expected values are due to chance
What are the three assumptions with the chi squared test
Random sample - the sample data is a random sample of a larger population
Sample size - is sufficiently large to prevent small sample error
Independence - the observations are independent of each other
Degrees of Freedom
Number of values that are free to vary minus 1
= 2 characters
- 2-1 = 1
So 1 is the degrees of freedom
Why us a chi squared test
Used to determine that the diff between observed and expected values is due to chance
Multiple testing problems and solution
Multiple comparisons arise when a stat analysis involves multiple stimultaneous stats test
For example, if we test the impact of a drug and weigh them in 20 different responses like blood pressure, heart rate temperature, nausea, etc. the chance finding a false positive high because all the variables being tested
We need to calculate the probabilities obtained from a stat, which was repeated multiple times