2.10 Flashcards

1
Q

Cystic fibrosis is an example of

A

monohybrid inheritance

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2
Q

When 2 heterozygous individuals interbreed, we expect a ratio in the offspring to be

A

3:1
75% of the offspring should show phenotype determined by dominant allele
25% phenotype of recessive

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3
Q

Mendelian ratio is the

A

expected ratio of phenotypes resulting from a genetic cross

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4
Q

We don’t always obtain results that fit the Mendelian ratio exactly, this is because the ratio only tells you the

A

chance of an individual with a certain phenotype being produced from a particular cross

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5
Q

2 parents who are heterozygous for CF have a 25% chance of having a child with CF at any

A

pregnancy

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6
Q

In human families, because the numbers of children are fairly small, we do not usually find an exact

A

3:1 ratio in the offspring

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7
Q

(TESTING RESULTS) Sometimes large numbers of offspring are produced in genetic crosses. This is more likely to happen in genetic crosses using animals rather than humans and plants. They may find that the ratio of phenotypes in the offspring does not fit the predicted ratio exactly, however, this could simply be the result of

A

chance

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8
Q

(TESTING RESULTS) A statistical test to use is called the

A

X2 test/chi-squared test

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9
Q

(TESTING RESULTS) To check whether resistance, for example, is caused by a dominant allele, and that the offspring were produced in a 3:1 ratio, we can check this by using the

A

chi-squared test

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10
Q

chi-squared step 1:

A

null hypothesis - is always that ‘there is no difference between observed and expected numbers’

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11
Q

chi-squared step 2:

A

expected numbers must be worked out, e.g. 27+13 =40, 3:1 ratio = expect 30 resistant and 10 non-resistant
observed and expected results are put in a table

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12
Q

chi-squared step 3:

A

work out value using chi-squared formula:

X2= sum of (O-E)2/E

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13
Q

(chi-squared table) For each genotype, we find the difference between the observed and expected numbers (O-E) and write them in the

A

Correct column (3rd)

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14
Q

(chi-squared table) In the next column (4th) we square the figure we obtained from the previous column giving

A

(O-E)2

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15
Q

(chi-squared table) Next column (5th) we divide (O-E)2 by

A

E

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16
Q

(chi-squared table) By adding all the numbers in the last column (O-E)2/E we get the

A

value for x2

17
Q

chi-squared step 4:

A

look up value of x2 on a table

18
Q

values table (step 4) has a column labelled

A

degrees of freedom

19
Q

degrees of freedom is always one less than the number of categories you have in your

A

data

20
Q

the rows of x2 values have numbers at the top have numbers at the top called

A

probability (p)

21
Q

probability row tells you the probability of getting this value of x2 by

A

chance alone

22
Q

accept null hypothesis if our x2 value gives a probability (p) of

A

0.05 or higher

23
Q

reject null hypothesis if p is

A

less than 0.05

24
Q

reject null hypothesis then the observed and expected results are

A

significantly different