Lecture 4: Mendelian Genetics Flashcards

1
Q

Probability

A

Likelihood of the occurrence if a particular event

  • 0 = not gonna happen
  • 1 absolutely gonna happen
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2
Q

Multiplication rule

A

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
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3
Q

Addition rule

A

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

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4
Q

Phenotype and ration

A

The physical appearance of the gene (blue hair, green eyes…)

  • Aa x Aa parents = 3:1
  • Aa x aa parents = 1:1
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5
Q

Genotypic and ratios

A

The genes involved that create the trait

  • Aa x Aa parent = 1:2:1
  • Aa x aa or AA x AA parent = 1:1
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6
Q

Conditional probability

A

Probability of an event A, given that event B has already occurred

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7
Q

What is the formula for two variables an what are they

A

(P+q)^n

P = frequency of an outcome
Q = frequency of another outcome
N = number of events
P+Q = 1

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8
Q

Dihybrid cross

A

Involve 2 traits weigh differing alleles

  • by observing the two traits Mendel was able to reveal the principle of independence assortment
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9
Q

Independent assortment

A

Results from the independent separation of chromosomes in anaphase 1

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10
Q

Chi squared goodness of fit

A

Test that indicated the probability that the difference between the observed and expected values are due to chance

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11
Q

What are the three assumptions with the chi squared test

A

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

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12
Q

Degrees of Freedom

A

Number of values that are free to vary minus 1

= 2 characters
- 2-1 = 1

So 1 is the degrees of freedom

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13
Q

Why us a chi squared test

A

Used to determine that the diff between observed and expected values is due to chance

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14
Q

Multiple testing problems and solution

A

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

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