For those who are confused about the 2-2=0 It was said to be a statistical test wherein: 2 phenotypes - 2 alleles= 0 degree if freedom Saying that we don't need to use a T-test because a T-test must have a 1 degree of freedom. It was just his further information just for a clarification though it's not that necessary in this H-W Equation, I suppose. Edit: Wow, it has been 2 yrs. How the fuh did I get my brain to work like this before?
For calculating p, why don't we do p2=91 and calculate directly like we did when calculating for q2? If I do it that way I get p value of 0.95 instead of 0.7 when we used p + q =1
Umm, so basically he was trying to explain why it wouldn't be appropriate to use chi-square test with this example... we have just two allele and also just two phenotypes, so taking the difference between them you'd get zero but for you to do a chi-square test, you need at least 1 d.f which we don't have here... so we can't use the chi-square test here. I hope you understand it now?
Calculating haplotypes involves analyzing specific combinations of alleles (variants of a gene) at different loci (positions) on a chromosome that are transmitted together. The process of haplotype calculation can be complex, especially in populations with a lot of genetic diversity. Here are the general steps and methods involved: Collect Genetic Data: Obtain genetic data from individuals, usually through methods like DNA sequencing or genotyping. Identify Loci of Interest: Determine the specific loci on the chromosome you are interested in for haplotype analysis. These loci are usually ones that are genetically linked (close together on a chromosome) and tend to be inherited together. Phasing: This is the process of determining which alleles at different loci are present on the same chromosome. Phasing can be done through computational methods (using statistical algorithms) or through experimental methods such as family studies. Use of Algorithms and Software: There are various algorithms and software tools designed for haplotype inference. These tools often use statistical methods to infer haplotypes from genotype data. Examples include PHASE, HAPLOTYPE, and PLINK. Statistical Analysis: Analyze the data to identify common haplotypes within the population. This often involves looking at the frequency of specific allele combinations across different individuals. Consideration of Recombination: In some cases, you may need to consider the effects of recombination, which can break the linkage between alleles at different loci. Population-Specific Analysis: In populations with high genetic diversity, the calculation becomes more complex due to the increased number of possible haplotypes. Reporting Haplotypes: Once calculated, haplotypes are often reported as a combination of alleles at the chosen loci. For example, if analyzing two loci with alleles A or a, and B or b, you might report haplotypes as AB, Ab, aB, ab. Ethical Considerations: In human genetics, ethical considerations must be taken into account, particularly in terms of privacy and the use of genetic data.
Today is exactly 7yrs this video was uploaded and it just did it for me... Thank you so much 🥺🥺
Glad it helped!
For those who are confused about the 2-2=0
It was said to be a statistical test wherein:
2 phenotypes - 2 alleles= 0 degree if freedom
Saying that we don't need to use a T-test because a T-test must have a 1 degree of freedom. It was just his further information just for a clarification though it's not that necessary in this H-W Equation, I suppose.
Edit: Wow, it has been 2 yrs. How the fuh did I get my brain to work like this before?
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Wonderful explanation! Thank you.
This saved my life thank you
Thank you brother, very helpful
You're welcome! Thanks for watching.
Wow ,this is superb
Thanks a lot 😊
Very nice explanation. I like it
Thanks for liking
For calculating p, why don't we do p2=91 and calculate directly like we did when calculating for q2? If I do it that way I get p value of 0.95 instead of 0.7 when we used p + q =1
Directly? This number was not given - we made a number of steps to find it.
i have a question. Can you please explain from where you got at the end 2-2=0? Thanks
Umm, so basically he was trying to explain why it wouldn't be appropriate to use chi-square test with this example... we have just two allele and also just two phenotypes, so taking the difference between them you'd get zero but for you to do a chi-square test, you need at least 1 d.f which we don't have here... so we can't use the chi-square test here. I hope you understand it now?
After two years question , the answer comes 🤔
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Well explained
Awesome video
estimate genotype frequency using hardy weinberg principle based on the data of wild allel of coat color B allel = 0.66 and recessive allel b =0.34 ?
BB= 0.66^2
Bb=2x0.66x0.34
bb= 0.34^2
@@GeneticsLessons Thank you so much sir 😇
@@GeneticsLessons exactly how I did it
Thank you ❣
Welcome!
Thank you
Welcome!
nice thank u so much
how to calculated haplotype
Your question is too broad.
Calculating haplotypes involves analyzing specific combinations of alleles (variants of a gene) at different loci (positions) on a chromosome that are transmitted together. The process of haplotype calculation can be complex, especially in populations with a lot of genetic diversity. Here are the general steps and methods involved:
Collect Genetic Data: Obtain genetic data from individuals, usually through methods like DNA sequencing or genotyping.
Identify Loci of Interest: Determine the specific loci on the chromosome you are interested in for haplotype analysis. These loci are usually ones that are genetically linked (close together on a chromosome) and tend to be inherited together.
Phasing: This is the process of determining which alleles at different loci are present on the same chromosome. Phasing can be done through computational methods (using statistical algorithms) or through experimental methods such as family studies.
Use of Algorithms and Software: There are various algorithms and software tools designed for haplotype inference. These tools often use statistical methods to infer haplotypes from genotype data. Examples include PHASE, HAPLOTYPE, and PLINK.
Statistical Analysis: Analyze the data to identify common haplotypes within the population. This often involves looking at the frequency of specific allele combinations across different individuals.
Consideration of Recombination: In some cases, you may need to consider the effects of recombination, which can break the linkage between alleles at different loci.
Population-Specific Analysis: In populations with high genetic diversity, the calculation becomes more complex due to the increased number of possible haplotypes.
Reporting Haplotypes: Once calculated, haplotypes are often reported as a combination of alleles at the chosen loci. For example, if analyzing two loci with alleles A or a, and B or b, you might report haplotypes as AB, Ab, aB, ab.
Ethical Considerations: In human genetics, ethical considerations must be taken into account, particularly in terms of privacy and the use of genetic data.
thanx
@@walaalani8355 this is not the case where I can help, sorry.
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Need explanation for 2-2=0, hw to get degrees of freedom??
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THANKS!
You're welcome! Thanks for watching.