The allele for the hair pattern widow's peak is dominant. In a population of 1000 individuals, 510 show the dominant phenotype. How many individuals would you expect of each of the possible 3 genotypes for this trait? How do you answer this?

Answer 1

For the homozygous dominant genotype there will be #90# individuals. For the heterozygous genotype there will be #420# individuals and for the homozygous recessive genotype there will be #490# individuals.

To respond to this, apply the Hardy-Weinberg Equation.

From the #1000# individuals, we know that #510# show dominant phenotype but we don't know how many of those individuals are homozygous dominant or heterozygous because both show dominant trait.
But we can infer that the remaining #490# individuals show recessive trait and therefore have homozygous recessive genotype.
#490/1000 = 0.49 = q^2#
#0.7 = q#
#p + q = 1#
#p = 1 - q#
#p = 0.3#

Next

#p^2 = 0.09#
#q^2 = 0.49#
#2pq = 2(0.7)(0.3) = 0.42#

Verify Again:

#p^2 + 2pq + q^2 = 1#
#0.09 + 0.42 + 0.49 = 1#

Consequently, you have

#0.09(1000) = 90 -># with homozygous dominant genotype
#0.42(1000) = 420 -># with heterozygous genotype
#0.49(1000) = 490 -># with homozygous recessive genotype

Verify Again:

#90 + 420 + 490 = "1000 individuals"#
#90 + 420 = "510 individuals " -># with dominant phenotype
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Answer 2

For a dominant trait, the genotypes can be DD (homozygous dominant) or Dd (heterozygous dominant). The frequency of the dominant allele (D) is calculated using the given dataFor a dominant trait, the genotypes can be DD (homozygous dominant) or Dd (heterozygous dominant). The frequency of the dominant allele (D) is calculated using the given 510 dominant individuals / 1000 total individuals = 0.51. The square root of this frequency gives the proportion of homozygous dominant individuals (DD), and the remaining proportion represents heterozygous dominant individuals (Dd). Calculate the expected numbers accordingly.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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