North African QPADM runs

[abceff]

Code:

> results$weights
# A tibble: 3 × 5
  target left                weight     se     z
  <chr>  <chr>                <dbl>  <dbl> <dbl>
1 abceff Mozabite.HO         0.639  0.0552 11.6
2 abceff BantuKenya.DG       0.0666 0.0166  4.02
3 abceff Greece_BA_Mycenaean 0.294  0.0425  6.91
p value - 0.578

attempted runs of myself on qpadm

[abceff]

trying with sephardic jews instead - 

Code:

> results$weights
# A tibble: 3 × 5
  target left           weight     se     z
  <chr>  <chr>           <dbl>  <dbl> <dbl>
1 abceff Mozabite.HO    0.582  0.0607  9.59
2 abceff BantuKenya.DG  0.0586 0.0154  3.81
3 abceff Jew_Turkish.HO 0.360  0.0499  7.21
p value - 0.7

[abceff]

using guanches instead -

Code:

> results$weights
# A tibble: 3 × 5
  target left                       weight     se     z
  <chr>  <chr>                       <dbl>  <dbl> <dbl>
1 abceff CanaryIslands_Guanche.SG    0.457 0.0557  8.21
2 abceff BantuKenya.DG               0.123 0.0156  7.91
3 abceff Greece_Delphi_BA_Mycenaean  0.419 0.0450  9.32
p value - 0.22

[abceff]

Tunisian -

Code:

> results$weights
# A tibble: 4 × 5
  target      left          weight      se     z
  <chr>       <chr>          <dbl>   <dbl> <dbl>
1 Tunisian.HO Mozabite.HO   0.727  0.0270  27.0
2 Tunisian.HO BantuKenya.HO 0.0346 0.00618  5.60
3 Tunisian.HO Spanish.HO    0.0344 0.0225   1.53
4 Tunisian.HO Saudi.HO      0.204  0.0336   6.07
p value - 0.58

[Genetics189291]

I’ll show you some of my sons runs when I get home, but his results are a little bit weird he seems to reject Arab sources

[Genetics189291]

Also you should be using mozabite.dg they are higher quality

[abceff]

I’ll show you some of my sons runs when I get home, but his results are a little bit weird he seems to reject Arab sources

very interesting, i also seem to be the same

[abceff]

Code:

target left                              weight     se     z
  <chr>  <chr>                              <dbl>  <dbl> <dbl>
1 abceff Tunisian_Berber_(Zraoua)          0.724  0.0586 12.4
2 abceff Congo_Kindoki_Protohistoric       0.0736 0.0143  5.16
3 abceff Italy_IsolaSacra_RomanImperial.SG 0.202  0.0486  4.16
> results$popdrop$p[1]
P value - 0.206429

a friend of mine helped with merging the data from the paper regarding the tunisian berbers to the dataset, here are some attempted runs of myself with them

[abceff]

Code:

target left                                   weight     se     z
  <chr>  <chr>                                   <dbl>  <dbl> <dbl>
1 abceff Tunisian_Berber_(Zraoua)               0.749  0.0407 18.4
2 abceff Congo_Kindoki_Protohistoric            0.0709 0.0120  5.91
3 abceff Italy_North_EarlyMedieval_Langobards_3 0.180  0.0341  5.27
> results$popdrop$p[1]
P Value - 0.0735

[Capsian20]

Hello guys how i can do my qpAdm? thanks

[Genetics189291]

Hello guys how i can do my qpAdm? thanks

You have to get someone to merge your raw data to the dataset

[Capsian20]

Hello guys how i can do my qpAdm? thanks

You have to get someone to merge your raw data to the dataset

oh okay bro , but who this person (someone) , i don't know anyone

[abceff]

Hello guys how i can do my qpAdm? thanks

You have to get someone to merge your raw data to the dataset

oh okay bro , but who this person (someone) , i don't know anyone

i can get that sorted for you, will be cool to see your results, DM me.

[Capsian20]

Hello guys how i can do my qpAdm? thanks

You have to get someone to merge your raw data to the dataset

oh okay bro , but who this person (someone) , i don't know anyone

i can get that sorted for you, will be cool to see your results, DM me.

well thanks you

[Jalisciense]

If Gambian is used instead the other African samples, the models would still "pass"?