Lecture 4 Flashcards
Cystic Fibrosis Mutation
Caused by mutations in CFTR gene (Cystic Fibrosis Transmembrane Conductance Regulator); generally recessive
Probability
Likelihood of the occurrence of a particular event; used in genetics to predict the outcome of a genetic cross
Conditional Probability
Probability of an event (A), given that another (B) has already occurred
Example: A cross is made between 2 heterozygous parent plants. What is the probability that a tall offspring plant is homozygous?
Tt x Tt = 1/4 TT + 1/2 Tt + 1/4 tt; but “tt” cannot take place, so there is a 1/3 chance of the plant being TT
Binomial Expansion
Mathematical formula to determine the probability of an outcome; formula = (p+q)^n where
p = the frequency of one outcome q = the frequency of the other outcome n = number of events p+q = 1
Formula expanded out with example is on Slide 30
Dihybrid Crosses
Crosses involving 2 traits with differing alleles
Law of Independent Assortment
Alleles encoding different traits on different chromosomes separate independently of one another; this results from the independent separation of chromosomes in anaphase 1 of meiosis
Chi-Square Goodness of Fit
Statistical test that indicates the probability that the difference between the observed and expected values is due to chance; this assumes that the sample data is a random sample of a larger population, the sample size is sufficiently large to prevent small sample error, and the observations are independent of each other
Degrees of Freedom
Number of values (characteristics such as different flower colors) that are free to vary minus 1
Multiple Testing Correction
Refers to re-calculating probabilities obtained from a statistical test which was repeated multiple times