You are given two data sets that provide counts of F1 and F2 offspring with given genders and disease phenotypes. The data are generated from an initial parental cross. One parent displays the disease phenotype and one displays the wild-type (WT) phenotype.The WT parent always has a homozygous genotype. There are three possible modes of inheritance that underlie the generation of the data. All are monogenic. They are: (i)   Autosomal Recessive. (ii)  Homozygous Lethal Dominant. (iii) Autosomal Dominant.   One's phenotype is determined by their genotype at the disease locus and the mode of inheritance, as we have seen with the Punnett Square. In this file you are provided with the true mode of inheritance. Your assignment is to perform a chi-square goodness of fit test on each of two F2 data sets, and make a decision, based on your statistical analyses as to which F2 data set provides greater evidence for indicating the correct mode of inheritance. Evidence is measured in the following ways: the p-value is greater than 0.05, so we do not reject the null hypothesis, and the p-value is closer to 1.   A few things of which to be mindful. In the parental generation, the WT parent always has a homozygous genotype. For the autosomal dominant moi, the disease is always homozygous for the disease allele. For the autosomal dominant, homozygous lethal any person with the disease phenotype is heterozygous for their genotype. The mode of inheritance is the same for both data sets, and so is the parental cross.   DATA SET 01 The number of offspring in F1 and F2 generations: 510 The true mode of inheritance is autosomal dominant. Parental cross: Father with disease phenotype, Mother with wild-type phenotype.   F1 COUNTS FOR DATA SET 01 Phenotype Gender.   Disease     Wild-Type   Male        237             0 Female       273             0   F2 COUNTS FOR DATA SET 01 Phenotype Gender    Disease     Wild-Type   Male             185               73 Female           183               69   DATA SET 02 The number of offspring in F1 and F2 generations: 899 F1 COUNTS FOR DATA SET 02 Phenotype Gender   Disease      Wild-Type   Male          424           0 Female          475         0   F2 COUNTS FOR DATA SET 02 Phenotype Gender      Disease      Wild-Type   Male             349             112 Female           323             115 Should be similar to this one

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Chapter8: Patterns Of Inheritance
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You are given two data sets that provide counts of F1 and F2 offspring with given genders and disease phenotypes.

The data are generated from an initial parental cross. One parent displays the disease phenotype and one displays the wild-type (WT) phenotype.The WT parent always has a homozygous genotype.

There are three possible modes of inheritance that underlie the generation of the data. All are monogenic. They are:

(i)   Autosomal Recessive.

(ii)  Homozygous Lethal Dominant.

(iii) Autosomal Dominant.

 

One's phenotype is determined by their genotype at the disease locus and the mode of inheritance, as we have seen with the Punnett Square.

In this file you are provided with the true mode of inheritance.

Your assignment is to perform a chi-square goodness of fit test on each of two F2 data sets, and make a decision, based on your statistical analyses as to which F2 data set provides greater evidence for indicating the correct mode of inheritance.

Evidence is measured in the following ways: the p-value is greater than 0.05, so we do not reject the null hypothesis, and the p-value is closer to 1.

 

A few things of which to be mindful.

  1. In the parental generation, the WT parent always has a homozygous genotype.
  2. For the autosomal dominant moi, the disease is always homozygous for the disease allele.
  3. For the autosomal dominant, homozygous lethal any person with the disease phenotype is heterozygous for their genotype.
  4. The mode of inheritance is the same for both data sets, and so is the parental cross.

 

DATA SET 01

The number of offspring in F1 and F2 generations: 510

The true mode of inheritance is autosomal dominant.

Parental cross: Father with disease phenotype, Mother with wild-type phenotype.

 

F1 COUNTS FOR DATA SET 01

Phenotype

Gender.   Disease     Wild-Type

  Male        237             0

Female       273             0

 

F2 COUNTS FOR DATA SET 01

Phenotype

Gender    Disease     Wild-Type

  Male             185               73

Female           183               69

 

DATA SET 02

The number of offspring in F1 and F2 generations: 899

F1 COUNTS FOR DATA SET 02

Phenotype

Gender   Disease      Wild-Type

  Male          424           0

Female          475         0

 

F2 COUNTS FOR DATA SET 02

Phenotype

Gender      Disease      Wild-Type

  Male             349             112

Female           323             115

Should be similar to this one 

 

 

The number of offspring in F1 and F2 generations: 854
Punnett Square for Fi parents.
Mother's alleles
Father's alleles
d.
d
D
Dd
Dd
d
dd
dd
From intro, we know that WT must be homozygous, and because we are dealing with Autosomal
Dominant, Homozygous Lethal, other parent must be Dd. This table is identical to parental Punnett
square.
So, according to Punnett Square, F1 generation has 50% disease, 50% WT. Multiply by ½ to get male and
female, or 25% for each.
F1 COUNTS FOR DATA SET 02
Phenotype
Gender Disease Wild-Type
Male 209
213
Female 223
209
F2 COUNTS FOR DATA SET 02
2 |Page
Phenotype
Gender Disease Wild-Type
Male 219
182
Female 213
240
F2 CHI-SQUARE TEST ANALYSIS WITH TRUE MOI
Table for compute X^2 Goodness of Fit value
Phenotype
ObsCounts(O) ExpProp
ExpCounts(E) (О-Е)
213,5
213,5
213,5
213,5
(O-E)^2/E
-31.5
5.5
26,5
Male
WT
182
219
4.6475
0.14169
0.25
Male Disease
0.25
Female
Female Disease
WT
240
0.25
3.2892
213
0.25
-0.5
0.001171
X^2 Goodness-of-fit Statistic : 8.07962529
Degrees of freedom
P-value
:
3
:0.0443944375
P-value < 0.05. Reject null hypothesis
for your specified mode of inheritance.
So, data set most consistent with MOI is Data Set 01, since we do not reject the null hypothesis, and we
do in Data Set 02.
Transcribed Image Text:The number of offspring in F1 and F2 generations: 854 Punnett Square for Fi parents. Mother's alleles Father's alleles d. d D Dd Dd d dd dd From intro, we know that WT must be homozygous, and because we are dealing with Autosomal Dominant, Homozygous Lethal, other parent must be Dd. This table is identical to parental Punnett square. So, according to Punnett Square, F1 generation has 50% disease, 50% WT. Multiply by ½ to get male and female, or 25% for each. F1 COUNTS FOR DATA SET 02 Phenotype Gender Disease Wild-Type Male 209 213 Female 223 209 F2 COUNTS FOR DATA SET 02 2 |Page Phenotype Gender Disease Wild-Type Male 219 182 Female 213 240 F2 CHI-SQUARE TEST ANALYSIS WITH TRUE MOI Table for compute X^2 Goodness of Fit value Phenotype ObsCounts(O) ExpProp ExpCounts(E) (О-Е) 213,5 213,5 213,5 213,5 (O-E)^2/E -31.5 5.5 26,5 Male WT 182 219 4.6475 0.14169 0.25 Male Disease 0.25 Female Female Disease WT 240 0.25 3.2892 213 0.25 -0.5 0.001171 X^2 Goodness-of-fit Statistic : 8.07962529 Degrees of freedom P-value : 3 :0.0443944375 P-value < 0.05. Reject null hypothesis for your specified mode of inheritance. So, data set most consistent with MOI is Data Set 01, since we do not reject the null hypothesis, and we do in Data Set 02.
The number of offspring in F1 and F2 generations: 854
Punnett Square for Fi parents.
Mother's alleles
Father's alleles
d.
d
D
Dd
Dd
d
dd
dd
From intro, we know that WT must be homozygous, and because we are dealing with Autosomal
Dominant, Homozygous Lethal, other parent must be Dd. This table is identical to parental Punnett
square.
So, according to Punnett Square, F1 generation has 50% disease, 50% WT. Multiply by ½ to get male and
female, or 25% for each.
F1 COUNTS FOR DATA SET 02
Phenotype
Gender Disease Wild-Type
Male 209
213
Female 223
209
F2 COUNTS FOR DATA SET 02
2 |Page
Phenotype
Gender Disease Wild-Type
Male 219
182
Female 213
240
F2 CHI-SQUARE TEST ANALYSIS WITH TRUE MOI
Table for compute X^2 Goodness of Fit value
Phenotype
ObsCounts(O) ExpProp
ExpCounts(E) (О-Е)
213,5
213,5
213,5
213,5
(O-E)^2/E
-31.5
5.5
26,5
Male
WT
182
219
4.6475
0.14169
0.25
Male Disease
0.25
Female
Female Disease
WT
240
0.25
3.2892
213
0.25
-0.5
0.001171
X^2 Goodness-of-fit Statistic : 8.07962529
Degrees of freedom
P-value
:
3
:0.0443944375
P-value < 0.05. Reject null hypothesis
for your specified mode of inheritance.
So, data set most consistent with MOI is Data Set 01, since we do not reject the null hypothesis, and we
do in Data Set 02.
Transcribed Image Text:The number of offspring in F1 and F2 generations: 854 Punnett Square for Fi parents. Mother's alleles Father's alleles d. d D Dd Dd d dd dd From intro, we know that WT must be homozygous, and because we are dealing with Autosomal Dominant, Homozygous Lethal, other parent must be Dd. This table is identical to parental Punnett square. So, according to Punnett Square, F1 generation has 50% disease, 50% WT. Multiply by ½ to get male and female, or 25% for each. F1 COUNTS FOR DATA SET 02 Phenotype Gender Disease Wild-Type Male 209 213 Female 223 209 F2 COUNTS FOR DATA SET 02 2 |Page Phenotype Gender Disease Wild-Type Male 219 182 Female 213 240 F2 CHI-SQUARE TEST ANALYSIS WITH TRUE MOI Table for compute X^2 Goodness of Fit value Phenotype ObsCounts(O) ExpProp ExpCounts(E) (О-Е) 213,5 213,5 213,5 213,5 (O-E)^2/E -31.5 5.5 26,5 Male WT 182 219 4.6475 0.14169 0.25 Male Disease 0.25 Female Female Disease WT 240 0.25 3.2892 213 0.25 -0.5 0.001171 X^2 Goodness-of-fit Statistic : 8.07962529 Degrees of freedom P-value : 3 :0.0443944375 P-value < 0.05. Reject null hypothesis for your specified mode of inheritance. So, data set most consistent with MOI is Data Set 01, since we do not reject the null hypothesis, and we do in Data Set 02.
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