PG Calculations (W4b) Flashcards
Chi² test formula?
Chi² = Sum of (O–E)² / E
What do symbols of chi² formula mean?
• O = Observed value.
• E = Expected value (calculated).
Chi² use?
To evaluate how well your data fits the model (goodness of fit test).
Interpreting chi² steps? (2)
• Determine degrees of freedom (df).
• Determine probability value (P) from a standard table/graph.
If significance level < 0.05 attributes? (3)
• Reject Ho.
• Significant deviation from HWE.
• Population is evolving.
If significance level >= 0.05 attributes? (3)
• Fail to reject Ho.
• No significance deviation from HWE.
• Population not evolving.
If calculated chi² >= table chi², what does it mean? (2)
• Reject Ho at significance level chosen.
• Population is evolving.
Things to note in PG PG calculations? (2)
• Significance level will always be given but if not stick with 0.05.
• Include 3 significant figures for decimal places.
Other formats for the genotypes? (3)
• Homozygous dominant = P1P1.
• Heterozygous = P1P2.
• Homozygous recessive = P2P2.
Given the following information:
• Total individuals = 800.
• BB + Bb = 490 individuals.
• bb = 310 individuals.
Find B & b.
1) Find q (b)
bb = 310/800 = 0.387 = q²
q² = 0.387.
Therefore,
q = /q² = /0.387 = 0.622
q = 0.622
b = 0.622.
2) Find p (B)
From p + q = 1
p = 1 – q = 1 – 0.622 = 0.377.
B = 0.377
Therefore,
B = 0.377
b = 0.622
In our population of 250 red stars:
• 84 dark pink tepals (P1P1).
• 124 light pink tepals (P1P2).
• 42 white tepals (P2P2).
Questions:
1) Calculate allele frequency.
2) Calculate expected genotype frequency & no. of individuals based on HWE.
3) Do the observed genotypes differ from the HWE expectations?
4) Do the observed genotypes differ from HWE?
Answer Q1? (4)
1) Calculate allele frequency (p & q)
(i) Get total no. of alleles
N = 250
Total alleles = 250×2 = 500.
(ii) Get no. of alleles for each genotype (P1P1 & P2P2)
• P1P1 = 84
P1P1 alleles
= (P1P1×2)+P1P2 = (84×2)+124 = 292
• P2P2 = 42
P2P2 alleles
= (P2P2×2)+P1P2 = (42×2)+124 = 208
(iii) Get allele frequency for each genotype (P1P1 & P2P2 ~ p & q)
• p
= P1P1
= P1P1 alleles ÷ Total alleles
= 292/500
= 0.584
• q
= P2P2
= P2P2 alleles ÷ Total alleles
= 208/500
= 0.416
(iv) Therefore,
p = 0.585
q = 0.416
In our population of 250 red stars:
• 84 dark pink tepals (P1P1).
• 124 light pink tepals (P1P2).
• 42 white tepals (P2P2).
Questions:
1) Calculate allele frequency.
2) Calculate expected genotype frequency & no. of individuals based on HWE.
3) Do the observed genotypes differ from the HWE expectations?
4) Do the observed genotypes differ from HWE?
Answer Q2? (4)
2) Calculate expected genotype frequency & no. of individuals based on HWE.
(i) Use ratio of p²:2pq:q², allele frequencies & total no. of individuals
• p²
= P1P1
= (0.584)² × 250
= 85.26
• 2pq
= P1P2
= 2(0.584)(0.416) × 250
= 121.5
• q²
= P2P2
= (0.416)² × 250
= 43.3
In our population of 250 red stars:
• 84 dark pink tepals (P1P1).
• 124 light pink tepals (P1P2).
• 42 white tepals (P2P2).
Questions:
1) Calculate allele frequency.
2) Calculate expected genotype frequency & no. of individuals based on HWE.
3) Do the observed genotypes differ from the HWE expectations?
4) Do the observed genotypes differ from HWE?
Answer Q3? (3)
3) Do the observed genotypes differ from HWE expectations/expected genotypes?
(i) Observed genotypes (What we saw)
P1P1 = 84.
P1P2 = 124.
P2P2 = 42.
(ii) Expected genotypes (What is predicted-HWE)
P1P1 = x = 85.26
P1P2 = y = 121.5
P2P2 = z = 43.3
(iii) Compare both & conclude
The observed genotypes do not differ significantly from the HWE expectations.
In our population of 250 red stars:
• 84 dark pink tepals (P1P1).
• 124 light pink tepals (P1P2).
• 42 white tepals (P2P2).
Questions:
1) Calculate allele frequency.
2) Calculate expected genotype frequency & no. of individuals based on HWE.
3) Do the observed genotypes differ from the HWE expectations?
4) Do the observed genotypes differ from HWE?
Answer Q4? (4)
4) Do the observed genotypes differ from HWE?
(i) Calculate chi²
Chi² = Sum of (O–E)² / E
= (84–85.26)² / 85.26 + (124–121.5)² / 121.5 + (42–43.3)² / 43.3
= 0.01862 + 0.05144 + 0.03903
= 0.108
Therefore, chi² = 0.108
(ii) Check table chi²
Significance level (alpha)= 0.05
Degrees of freedom = 3-2 = 1
Table chi² = 3.84
(iii) Compare calculated chi² & table chi²
Calculated chi² = 0.108 < 3.84
(iv) Conclusion
Since calculated chi² = 0.108 < 3.84, we fail to reject Ho at a significance level of 0.05, therefore the population is not evolving.
How do we calculate the expected genotypes frequencies?
We use the allele frequency & then multiply by the total no. of individuals.