Unconfigured Ad

Collapse
X
 
  • Filter
  • Time
  • Show
Clear All
new posts
  • rcapper
    Member
    • Sep 2011
    • 20

    #16
    That could be but I'm pretty sure you can't say that with any confidence. You can go from allele freqs to HWE expected genotypes but that's about it... And you can't test departure from HWE without your actual genotypes (like, not the pooled samples).

    Comment

    • AdrianP
      Senior Member
      • Apr 2011
      • 130

      #17
      60% of loci between all samples are shared, means out of all loci that are variable in any of my populations, 60% will be found in any other population. When you look at how the allele frequency varies, between the different populations, it slightly varies, meaning if it's 49/51 in one populations, it might be 45/55 in the other and 41/59 in the 3rd and 48/52 in the 4th and so on and so forth. I plotted it, it doesn't vary much. This means intra individual variation, not intra population variation.

      So you are right, I can't do anything with HWE. Which makes me wonder, can I actually calculate Fst for this.... What if I treat the entire spore population as 1 individual? I can calculate the variation within the population as if it was within that 1 individual, and then between the 6 populations?

      Comment

      • rcapper
        Member
        • Sep 2011
        • 20

        #18
        Not sure that I understand what you mean. So 60% of all of your loci are invariants? Or they're only variant in a single population? If that's true, as in, 4 pops are 100% 'A' and the fifth pop is 75% 'A', then that's actually okay and depending on the magnitude of the difference, that might be what you're even looking for.

        It totally depends on your experiment, but you might have to demonstrate that 49/51 is statistically different from 48/52, etc etc. Those sound like the same frequencies to me...

        I'm also not sure what you mean by "This means intra individual variation, not intra population variation." Sure, the within-pop freqs could be totally different (ex., 100 AAaa tetraploids in one pop, but 50 AAAA and 50 aaaa in the other) but you really can't tell those two situations apart from the data you have.

        Yes, you can still calc Fst -- but if your freqs within each pop are the same as the freqs among each pops then Fst will be around 0 (= no differentiation between pops.)

        I don't think treating the pop as one individual makes sense, but if it helps you conceptualize it then I guess go for it...

        Comment

        • AdrianP
          Senior Member
          • Apr 2011
          • 130

          #19
          For 60%, the allele frequencies are the same.

          However, there are population specific alleles. These should raise the Fst, right?

          Comment

          • clarissaboschi
            Member
            • Apr 2010
            • 63

            #20
            I have a doubt about Fst from VCFtools.

            I used VCFtools to obtain Fst, but VCFtools generates 2 different Fst: mean and weighted.

            Which one is best to consider? In my cases these 2 Fst are very different. I asked the same question in the VCFtools forum and I had no reply. I think the weighted is better but I had very high values in this one.

            thanks
            Clarissa

            Comment

            Latest Articles

            Collapse

            • SEQadmin2
              Nine Things a Sample Prep Scientist Thinks About Before Sequencing
              by SEQadmin2


              I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

              Here are nine questions we think about, in roughly the order they matter, before...
              06-18-2026, 07:11 AM
            • SEQadmin2
              From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
              by SEQadmin2


              Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


              The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
              ...
              06-02-2026, 10:05 AM

            ad_right_rmr

            Collapse

            News

            Collapse

            Topics Statistics Last Post
            Started by SEQadmin2, 06-17-2026, 06:09 AM
            0 responses
            37 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 06-09-2026, 11:58 AM
            0 responses
            100 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 06-05-2026, 10:09 AM
            0 responses
            121 views
            0 reactions
            Last Post SEQadmin2  
            Started by SEQadmin2, 06-04-2026, 08:59 AM
            0 responses
            113 views
            0 reactions
            Last Post SEQadmin2  
            Working...