# Mendelian genetics module

```TOPIC: Mendelian Genetics and Chromosome Theory
TUTOR GUIDE
MODULE CONTENT: The major learning goals of this module are for students a)
to be able to calculate and predict the genotype and phenotype frequencies (of a
mendelian trait) resulting from monohybrid and dihybrid crosses; b) to be able to
calculate and interpret the results of a chi-square statistical analysis to test hypotheses
about independent assortment of traits. The module includes application of basic
mathematics to mendelian patterns of inheritance, including simple calculations of
proportions (frequencies), calculations of chi square statistics and a single question on
probability.
The module is designed to be implemented in a 75-minute classroom session,
including a short preassessment quiz (that can be administered either in class or online
before class). The module is designed for first-year biology majors in an introductory
biology course.
Alignment to HHMI Competencies for Entering Medical Students………...………....2
Outline of concepts covered, module activities, and implementation…...…..…….....3
Pre-laboratory Quiz....................................................................................................4
Module: Worksheet for completion in class...........................................................5-11
Suggested Questions for Assessment.....................................................................12
Guidelines for Implementation……………………………...............….......................13
Contact Information for Module Developers........................................................................14
1
Alignment to HHMI Competencies for Entering Medical Students:
Competency
Learning Objective
Activity
E1. Apply quantitative reasoning
and appropriate mathematics to
describe or explain phenomena
in the natural world.
E1.1. Demonstrate quantitative numeracy
and facility with the language of
mathematics.
3a; 4a-c; 5a-c;
6b;7a,c
E1.3. Make statistical inferences from data
sets
4b,c; 5a,b
2
Mathematical/Statistical Concepts covered:
- basic arithmetic
- probability
- chi-square test
Components of module:
- Pre lab quiz
- in class activities (preferably no worksheet - see guidelines for implementation):
- suggested assessment questions
- guidelines for implementation
Estimated time to complete in class worksheet
- 60 - 75 minutes
Targeted students:
- first year-biology majors in introductory biology course
Quantitative Skills Required:
- Basic arithmetic
- Logical reasoning
Module activities, and implementation
- Students need only to have basic mathematical skills to complete this module.
- Questions to use for assessment of the concepts and skills in this module.
3
Pre Lab QUIZ
Name: _________________________________
Mendelian Genetics and Chromosome Theory
1. What is the difference between a monohybrid and a dihybrid cross?
2. What is the name of the statistical test we will be using in this module?
3. Name one of Mendel’s laws (principles) mentioned in this module?
4. In this module, a p-value of 0.5 is considered significant
True
False
5. The BRAC1 gene is linked to what type of cancer?
a. Prostate
b. Breast
c. Skin
d. Pancreatic
4
NAME: ____________________________________
Mendelian Genetics and Chromosome Theory
Objective: In this worksheet you will review some important principles and terms
applicable to genetics. This worksheet will ask questions about both Mendelian and
non-Mendelian patterns of inheritance (e.g. those that might result from linkage). You
will also utilize the chi-square statistical test to detect deviations from observed and
expected in data from genetic crosses and be asked to interpret the results of this test.
1. Predict the results of the following cross where ‘y’ is the allele for red color and
‘Y’ is the allele for yellow color in a flower. Y is dominant to y.
♀ Yy x ♂ Yy
a. Report the expected genotypic and phenotypic frequencies, in
proportions – that is to say that if you find that a quarter of the offspring
are expected to have the genotype YY, then you should report that 0.25 of
the offspring will have the genotype YY.
b. Genotypic and phenotypic frequencies are different. Why?
2. Suppose that after performing the above cross, you counted offspring and their
phenotypes were as follows (these are your observed values):
Phenotype 1 – 136
Phenotype 2 – 37
a. Which phenotype is phenotype 1 and which is phenotype 2 according to
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b. As we discussed in lecture, we can use chi-square (χ2) test statistics to
determine whether expected outcomes were different than observed
outcomes. We can use this test when looking at dihybrid crosses to
determine if two genes are sorting independently.
To do this, you will need to fill out the chi-square table below to see if the
expected and observed patterns of red and yellow flowers are significantly
different. You must use counts (not raw proportions) in the “O” and “E”
columns. Calculate the expected values using the predicted phenotype
frequencies (proportions that you calculated in Q 3a) and the total
observed number of plants (from Q 4.)
Observed (O)
(O-E)2/E
Expected (E)
Yellow
Red
Χ2=
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b. Next, we have to compare our test statistic (chi-square value) to a table of
critical values of the chi-square test. Full versions of these tables can be
found online or in a statistics textbook. Compare your results with the
simplified table below. For this test, you have one degree of freedom
because you have two categories (degrees of freedom = number of
categories – 1) so focus on that row.
Degrees of
Freedom
1
2
3
4
.99
.80
.50
.20
.10
.05
.01
.001
p-values
.00016
.20
.12
.30
.064
.45
1.0
1.6
.46
1.4
2.4
3.4
1.6
3.2
4.6
6.0
2.7
4.6
6.3
7.8
3.8
6.0
7.8
9.5
6.6
9.2
11.3
13.3
10.8
13.8
16.3
18.5
Test statistics
Compare your test statistic to the ones in the table. What p-value is
associated with this test statistic? For statistical tests, results are
considered significant if the p-value is less than 0.05, so what does your pvalue indicate about your data?
3. Using the following phenotypes below (found in fruit flies), predict the possible
genotypes of the following dihybrid cross:
A = Black body; a = grey body
B = Straight wings; b = curly wings
♀ AaBb x ♂ AaBb
a. What are the expected phenotypic frequencies, assuming capital letters
are dominant? Write these frequencies as counts in the table below,
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using the information in 6b (below) to figure out the total number of F1
individuals.
Observed (O)
(O-E)2/E
Expected (E)
Χ2=
b. After completing the cross, the number of offspring of each phenotype
were counted (these are the F1 individuals), and these numbers are listed
below. Enter them in the chi-square table above. Complete the chisquared table, including the test statistic (Χ2) value and its associated pvalue.
Black, Straight – 850
grey, Straight – 28
grey, curly – 290
Black, curly – 32
Are the expected frequencies significantly different from the observed
frequencies? (Here, you have four categories and you will need to
calculate the degrees of freedom – refer to Q4c to determine how to do
this.)
c. What could have caused such a result?
a.
Predict all of the possible genotypes of the following dihybrid cross:
♀ AABB x ♂ AaBb
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b. What are the expected phenotypic frequencies, assuming capital letters
are dominant:
4. A woman has recently been diagnosed with breast cancer and requests that she
be screened for the BRCA1 gene mutation. Individuals with mutations in this
gene develop breast cancer 85% of the time.
a. You discover that the woman does have one copy of the BRCA1 mutation.
What is the chance that she will pass it on to her daughters?
b. What is the chance that the daughters might develop breast cancer if they
inherit the BRCA1 mutation (hint: there is no calculation necessary for this
question)?
c. What is the chance that one of the daughters inherits the BRCA1 mutation
and develops breast cancer?
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MODULE FEEDBACK - Each year we work to improve the modules in the active
learning "discussion" sections. Please answer the following question with regard to this
module on this sheet and turn in your answer to the TA. You can do this anonymously if
you like by turning in this sheet separately from your module answers.
mendelian genetics?
E = Not helpful at all
Module Rating ____________
Thank you!
10
Suggested Questions for Assessment
Learning Objective
Activity
E1.1. Demonstrate quantitative numeracy
and facility with the language of
mathematics.
4a-c; 5a-c
E1.3. Make statistical inferences from data
sets
4a-c;5a-c
Questions 4 and 5 address every computational aspect of this module except for the
probability question that appears in question 7. They also require written interpretation
of the results of the statistical analyses.
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Suggested Implementation:
We expect that students will not have had a statistics course, although they will use
statistical tests in this module. To deal with this, we suggest either that the chi-square
test is reviewed in the lecture portion of the course in which this module will be used, or
that the students receive a 10-15 minute explanation about how and why this statistical
test is used in the context of the material, and go over the calculations. If this is done,
we suggest giving the pre-module quiz to students to complete before coming to class.
In class:
Have students break up into groups, ideally of 3-4 students each. Students work as
groups to solve the problems and completed modules turned in at the end of class.
Alternatively, the module can be broken up so that the questions are projected one at a
time and students given a set amount of time to complete each one. In this iteration of
the module, groups could share their results on whiteboards as they are obtained. Give
the students a few minutes with each question or sub-question—not a long time, no
more than 3-4 minutes per question-- and some questions need only a minute, such as
the first two questions. The shorter the interval, the higher the level of energy and
interest in the room. As the students work, circulate and assist them (without giving
them the answer, of course). At the end of the time period for the question, announce
that there are 10 seconds remaining, then ring a bell or use some other pre-agreed
signal, and at the signal, all student groups hold up their white boards with their
answers. Use the boards as a basis for discussion if answers differ. If most student
groups have the right answer, move on quickly to the next question.
Alternatively, the questions can all be given together to each student group as a
worksheet. This sounds like less work and stress for the TAs/instructors, but the one-ata-time-method keeps everyone on track, energized and having fun.
Attitude Assessment Question: Make sure students turn in their attitude assessment
question at the end of the module (these can either be turned in as separate sheets to
maintain anonymity or as part of the module if you wish to give them participation credit
for filling them out).
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Module Developers:
Kathleen Hoffman
Department of Mathematics and Statistics
University of Maryland Baltimore County
[email protected]
Jeff Leips
Department of Biological Sciences
University of Maryland Baltimore County
[email protected]
Sarah Leupen
Department of Biological Sciences
University of Maryland Baltimore County
[email protected]
Acknowledgments:
This module was developed as part of the National Experiment in Undergraduate
Science Education (NEXUS) through Grant No. 52007126 to the University of Maryland,
Baltimore County (UMBC) from the Howard Hughes Medical Institute.
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