A low number statistics probability-problem (genetics)

In summary, the conversation discusses a probability problem related to an unknown inherited disease in a family with 5 siblings, 3 of whom are affected. The fact that this outcome is higher than the expected 1 in 4 for recessive traits suggests that the disease is more likely to be dominant. However, without knowing the status of the parents, it is difficult to accurately determine the likelihood of dominant versus recessive inheritance. The conversation also mentions the need to consider the genetic composition of both parents in both cases and the potential impact of adult onset and the status of the parents on the likelihood calculations.
  • #1
B0b-A
155
32
A probability problem (genetics), not homework, honest.

3 of 5 siblings are affected by an unknown inherited disease*.

That this outcome is higher than 1 in 4 which is typically the case in recessive traits suggests that the disease is more likely to be dominant than recessive.

Given 3 of 5 siblings are affected how much more likely is it that this genetic illness is dominant rather than recessive ?.

Like I said this isn't homework so I can't confirm if any answer given is correct.

[ *adult onset : inheriting the trait would not make their birth less likely ].
 
Physics news on Phys.org
  • #2
Without knowing the status of the parents, I don't think this problem works. In particular, the 1/4 is expected only in a case where a dominant trait would not appear at all.

With assumptions about their health, you can calculate the likelihood for both hypotheses and compare them.
 
  • #3
mfb said:
Without knowing the status of the parents, I don't think this problem works.

In this case only one of the parents of the five siblings is affected (symptomatic).
(sorry forgot to mention that :redface: ).
 
  • #4
Then there is no reason to expect a rate of 1/4.

Based on the information that neither zero nor all childen got symptoms, you can determine the genetic composition of both parents in both cases and solve the problem.
 
  • #5
mfb said:
Then there is no reason to expect a rate of 1/4 ...

OK now I see 1in 4 is only expected in recessive inheritance where both parents were unaffected carriers: both carry one copy of the disease gene. But in this case one parent was affected.

mfb said:
... Based on the information that neither zero nor all childen got symptoms, you can determine the genetic composition of both parents ...

If it were dominant the affected parent cannot have two copies of the disease gene, otherwise all the children would be affected.

If recessive the unaffected parent must have a copy of the disease gene, otherwise no children would be affected.

mfb said:
... you can determine the genetic composition of both parents in both cases and solve the problem.

Now my possible punnet squares are giving me 1 in 2 odds that a child would be affected, whether it was dominant or recessive inheritance.

So that it affected 3 of 5 siblings doesn't make it more likely to be dominant than recessive (?)
 
Last edited:
  • #6
Correct.

You could argue that the information "some do not get the trait, some do" itself is some information, but then you need some estimate about the total rate of the trait in the population.
 
  • Like
Likes 1 person

1. What is a low number statistics probability-problem in genetics?

A low number statistics probability-problem in genetics refers to a situation where the sample size of a study or experiment is relatively small, making it difficult to accurately calculate the probability of a particular outcome or event. This can often occur in genetic studies where the number of individuals or samples being analyzed is limited.

2. Why is a low number statistics probability-problem important in genetics?

A low number statistics probability-problem is important in genetics because it can impact the validity and reliability of the results. With a smaller sample size, there is a higher chance of random variation and error, which can skew the results and make it difficult to draw accurate conclusions.

3. How is a low number statistics probability-problem addressed in genetics research?

One way to address a low number statistics probability-problem in genetics research is to increase the sample size. This can be done by expanding the study to include more individuals or samples, which can help to reduce the impact of random variation and improve the accuracy of the results.

4. What are some potential limitations of a low number statistics probability-problem in genetics?

One limitation of a low number statistics probability-problem in genetics is that it may be difficult to generalize the results to a larger population. Additionally, with a smaller sample size, it may be more challenging to identify significant differences or patterns in the data.

5. How can researchers overcome the challenges of a low number statistics probability-problem in genetics?

In addition to increasing the sample size, researchers can also use statistical techniques and methods to account for the limitations of a low number statistics probability-problem. This may include using more conservative statistical thresholds or conducting sensitivity analyses to assess the robustness of the results.

Similar threads

  • Set Theory, Logic, Probability, Statistics
Replies
6
Views
1K
  • Biology and Medical
Replies
5
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
339
  • Biology and Medical
Replies
2
Views
3K
  • Set Theory, Logic, Probability, Statistics
2
Replies
57
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
2
Views
3K
  • Biology and Medical
Replies
8
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
5
Views
1K
  • Set Theory, Logic, Probability, Statistics
5
Replies
147
Views
7K
  • Biology and Chemistry Homework Help
Replies
6
Views
5K
Back
Top