New Y-DNA maps YFull 2018

Expredel · Apr 7, 2018

Tutkun Arnaut · Apr 7, 2018

Expredel said:
http://www.openheatmap.com/view.html?map=MughalActinosomaSemisocialist (A1b1)
http://www.openheatmap.com/view.html?map=ForeclawReredossesQuechuans (B)
http://www.openheatmap.com/view.html?map=PrecompensationExophthalmosesRoe (C)
http://www.openheatmap.com/view.html?map=UngangrenousWeentyPrimmest (D)
http://www.openheatmap.com/view.html?map=OccupationalEpitacticPrecongratulation (E)
http://www.openheatmap.com/view.html?map=SubtileWilgaEuropeans (G)
http://www.openheatmap.com/view.html?map=CaciesPerseveratorsConditotoria (H)
http://www.openheatmap.com/view.html?map=PolythalamianElaphomycetaceaesIntifadas (I1)
http://www.openheatmap.com/view.html?map=DiacetylmorphineSuperpopulatedlyCohosting (I2)
http://www.openheatmap.com/view.html?map=KrucikOrangevaleSnollygosters (J1)
http://www.openheatmap.com/view.html?map=MegalopygidaeCatenarianHeliolitidae (J2)
http://www.openheatmap.com/view.html?map=HypothenusalSlooPanellings (L)
http://www.openheatmap.com/view.html?map=CalabashHydrolantKeflex (M)
http://www.openheatmap.com/view.html?map=BeingnessKanakasForaminiferans (N)
http://www.openheatmap.com/view.html?map=TrennessPreaggravationEndosporously (O)
http://www.openheatmap.com/view.html?map=VillosityCostalgiasPatant (Q)
http://www.openheatmap.com/view.html?map=ZerumbetsAnnamDearden (R1a)
http://www.openheatmap.com/view.html?map=HopbinesDermapostasisDaintified (R1b)
http://www.openheatmap.com/view.html?map=TerylenesGeoglossumAralus (R2)
http://www.openheatmap.com/view.html?map=PinweedsSaccodermOmphalorrhexis (S)
http://www.openheatmap.com/view.html?map=SeidensFessePrealarm (T)

Based on 9775 samples.

Albanian maps are wrong. Albania does not have J1, it has 12% I2a, About 10% I1+I2b, Etc I saw but I am lazy to number. So the maps are worthless

Expredel · Apr 8, 2018

http://www.openheatmap.com/view.html?map=UncoltedWillnessDumbnesses

One more, map with the dominant haplogroup for each country.

AdeoF · Apr 8, 2018

I don't get it??? It is about how high there haplogroup lvl is??

Mark · Apr 8, 2018

AdeoF said:
I don't get it??? It is about how high there haplogroup lvl is??

No, just how high the author is.

Expredel · Apr 8, 2018

AdeoF said:
I don't get it??? It is about how high there haplogroup lvl is??

The individual maps show percentages, omitting countries with fewer than 5 entries.

The map with the dominant haplogroup for each country uses value 5 for haplogroup A, 10 for B, 15 for C, etc. It's not very intuitive but it was the easiest way to create a map using OpenHeatMap. All the haplogroups and their index are listed below the map.

mwauthy · Apr 8, 2018

I prefer Maciamo’s maps. Am I reading the I1 map properly? 40% I1 in Slovenia?

Expredel · Apr 8, 2018

mwauthy said:
I prefer Maciamo’s maps. Am I reading the I1 map properly? 40% I1 in Slovenia?

Having the raw data might be helpful.

Code:

### a1b1    b    c    d    e    g    h   i1   i2   j1   j2    l    m    n    o    q  r1a  r1b   r2    s    t   all
ARA    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0     1
ARE    0    1    0    0   29    0    0    0    0   12    2    3    0    0    0    3    5    0    3    0   22    80
ARG    0    0    0    0    1    1    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0     3
ARM    0    0    2    0    2    3    2    0    5   14    9    1    0    0    1    2    1   24    0    0    5    71
ATP    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0     1
AUS    0    0    1    0    2    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0     4
AUT    0    0    0    0    0    1    0    0    0    1    4    0    0    0    0    1    1    2    0    0    0    10
AZE    0    0    0    0    3    0    1    0    0    3    1    0    0    0    0    1    0    0    0    0    1    10
BEL    0    0    0    0    2    4    0    1    3    0    2    0    0    0    0    0    0   11    0    0    1    24
BGD    0    0    3    0    0    0   15    0    0    0    5    2    0    0    4    1   10    0    5    0    0    45
BGR    0    0    0    0    9    2    0    3    9    0    7    0    0    0    0    0    7   11    0    0    0    48
BHR    0    2    0    0    8    1    0    0    0   13    6    2    0    0    0    1    2    2    6    0   10    53
BIH    0    0    0    0    2    0    0    1    2    0    2    0    0    1    0    1    1    0    0    0    0    10
BLR    0    0    0    0   10    2    0    2    6    5    5    0    0    3    0    1   20   13    0    0    1    68
BMU    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0     1
BRA    0    0    0    0    1    1    0    3    1    0    1    0    0    0    0    2    0   11    0    0    0    20
BRB    0    0    0    0   34    0    0    3    3    0    0    0    0    0    0    0    0    8    0    0    0    48
CAF    0    2    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     2
CAN    0    0    0    0    1    1    0    2    3    0    2    0    0    1    1    0    0    7    0    0    0    18
CHE    0    0    0    0    3    9    0    6    4    0    6    0    0    0    0    2    2   10    0    0    0    42
CHL    0    0    0    0    3    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     3
CHN    0    0   33    3    1    1    0    0    0    0    1    0    0   23  222    1    4    3    0    0    0   293
COG    0    1    0    0    2    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     3
COL    0    0    0    0    8    0    0    1    1    6    2    0    0    0    0    3    0   28    0    0    1    50
CRI    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0     2
CUB    0    0    0    0    1    0    0    0    0    0    0    1    0    0    0    0    0    3    0    0    1     6
CYP    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
CZE    0    0    1    0    4    0    0    2    5    1    3    0    0    1    0    1   17   10    0    0    0    45
DEU    0    0    0    0   25   16    0   40   40    5   24    0    0    1    0    2   33  105    0    0    3   294
DNK    0    0    0    0    2    1    0   17    2    0    0    0    0    0    0    1    4   11    0    0    0    38
DOM    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0     1
DZA    0    0    1    0    6    0    0    0    0    2    1    0    0    0    0    0    0    2    0    0    0    12
EGY    0    1    0    0    2    0    0    0    0    6    0    0    0    0    0    0    1    0    0    0    2    12
ELT    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    1    0    0    0    0    0     1
ENG    0    0    0    0   26    5    0  122   55    0   13    0    0    1    0    6   41  226    0    0    1   496
ERI    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    1     2
ERR    0    0    1    0    1    0    1    0    0    0    1    1    0    0    1    1    1    0    1    0    0     1
ERS    0    0    0    0    1    0    0    0    0    1    1    0    0    0    0    1    0    1    0    0    1     1
ESH    0    0    0    0    3    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     3
ESN    0    0    0    0   53    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    53
ESP    0    0    1    0   12    4    0    5    9    1   19    0    0    0    0    0    3   81    0    0    4   139
EST    0    0    0    0    0    0    0    3    0    0    0    0    0   15    0    0   10    5    0    0    0    33
ETH    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
FIN    0    0    0    0    1    4    0  150    9    4    0    0    0  361    0    0   37   43    0    0    0   609
FRA    0    0    0    0    5    8    1   16   13    1    5    0    0    0    0    1    0   50    0    0    0   100
FRO    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0     1
GBR    0    0    1    0    9   16    1  117   67    3   11    1    0    4    0    7   25  236    1    0    2   501
GDP    1    0    0    0    1    0    0    0    1    0    0    0    1    0    1    1    0    1    0    0    0     1
GEO    0    0    0    0    0   11    0    0    1    2   11    0    0    0    0    2    1    1    0    0    0    29
GGY    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    1    1    0    0    0     3
GHA    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
GMB    0    1    0    0   50    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    51
GNQ    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
GRC    0    0    0    0    3    2    0    0    5    0    1    0    0    0    0    0    0    6    0    0    2    19
GRD    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0     1
GTM    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
HRV    0    0    0    0    1    0    0    1    5    0    0    0    0    2    0    0    4    0    0    0    0    13
HUN    0    0    0    0    4    0    0    4    5    1    4    0    0    1    0    2    7    2    0    0    1    31
IDN    0    0    0    0    0    0    0    1    0    0    0    0    0    0    2    0    0    0    0    0    0     3
IMN    0    0    0    0    0    0    0    1    1    0    0    0    0    0    0    0    1    5    0    0    0     8
IND    0    0   14    5    0    5   50    0    0    2   35   28    0    2    7    9   68    4   27    0    1   260
IRL    0    0    0    0    8    3    0   23   78    1    2    0    0    0    0    0   11  282    0    0    1   409
IRN    0    0    0    0    4    0    0    0    1    3    1    1    0    0    0    2    6    0    0    0    0    18
IRQ    0    0    0    0    4    1    1    0    0   14    9    5    0    0    0    2    5    1    6    0   19    67
ISL    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    2    0    0    0    0    0     2
ISR    0    0    0    0    1    0    0    0    0    2    1    0    0    0    0    0    0    1    0    0    0     5
ITA    2    0    0    0   62   54    2   14   32   19   74    3    0    0    0    3   20  149    3    0   21   458
JAM    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0     1
JEY    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0     1
JOR    0    1    0    0    4    0    0    0    0    2    3    0    0    0    0    2    0    0    0    0    4    16
JPN    0    0    6   22    0    0    0    0    0    0    0    0    0    4   33    0    0    0    0    0    0    65
KAZ    0    0    1    1    0    1    0    0    0    2    0    0    0    2    0    2    0    0    0    0    0     9
KEN    0    3    0    0   56    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    59
KGZ    0    0    1    0    0    0    0    0    0    1    0    0    0    0    0    0    1    1    0    0    0     4
KHA    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0     1
KHM    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0     1
KOR    0    0    3    0    0    0    0    0    0    0    0    0    0    0    2    0    0    0    0    0    0     5
KWT    1   12    0    0   31    3    1    0    0   90   10    6    0    0    0    0    1    2   26    0   25   208
LBN    0    0    0    0   15    5    1    0    0    5   14    5    0    0    0    0    1    7    1    0    4    58
LBY    0    0    0    0   11    0    0    0    0    6    0    0    0    0    0    0    0    0    0    0    2    19
LKA    0    0    1    0    0    0   17    0    0    0    9   10    0    0    0    2   16    0    3    0    0    58
LTU    0    0    0    0    6    4    0    2    2    2    4    0    0   13    0    0    6   10    0    0    1    50
LUX    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0     1
LVA    0    0    0    0    2    0    0    0    1    0    1    0    0    4    0    0    5    1    1    0    0    15
MAR    0    0    0    0    3    0    0    0    0    2    0    0    0    0    0    1    0    0    0    0    1     7
MDA    0    0    0    0    0    0    0    0    1    0    1    0    0    0    0    0    1    0    0    0    0     3
MEX    0    0    0    0    7    3    0    1    2    2    2    0    0    0    0   23    0   21    0    0    3    64
MKD    0    0    0    0    2    1    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0     4
MLI    0    0    0    0    2    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     2
MLT    0    0    0    0    0    0    0    0    1    1    0    0    0    0    0    0    0    0    0    0    0     2
MMR    0    0    0    0    0    0    0    0    0    0    0    0    0    0    2    0    0    0    0    0    0     2
MNE    0    0    0    0    0    0    0    1    2    0    0    0    0    0    0    0    0    1    0    0    0     4
MRT    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
MUR    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
MYS    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0     1
NAM    2    2    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     4
NGA    0    0    0    0   56    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    57
NIC    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0     1
NLD    0    0    0    0    3    8    0   13   10    2    6    0    0    2    0    1    2   26    0    0    1    74
NOR    0    0    0    0    6    9    0   97   10    1    2    0    0    6    0    6   53   38    0    0    0   228
NPL    0    0    0    0    0    0    2    0    0    0    0    0    0    0    0    0    0    0    0    0    0     2
NZL    0    0    0    0    0    0    0    1    1    0    0    0    0    0    0    0    0    2    0    0    0     4
OMN    0    0    0    0    4    1    0    0    0   10    2    1    0    0    0    0    0    0    1    0    5    24
PAK    0    0    2    0    1    5    8    0    0    1   14    3    0    0    2    4   22    0    8    0    0    70
PER    0    0    0    0    2    0    0    1    0    3    1    0    0    0    0   25    1    9    0    0    0    42
PHL    0    0    0    1    0    0    0    0    0    0    0    0    0    0    5    0    0    1    0    0    0     7
PNG    0    0    3    0    0    0    0    0    0    0    0    0    4    0    0    0    0    0    0    5    0    12
POL    0    0    2    0   15    6    0   16   19    7    9    0    0   16    0    7  117   35    0    0    0   249
PRI    0    1    0    0   17    2    0    1    3    2    5    0    0    0    0    0    1   33    0    0    2    67
PRK    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0     1
PRT    0    0    0    0    7    4    0    6    6    6   12    0    0    0    0    1    1   86    0    0    4   133
PSE    0    0    0    0    3    0    0    1    0    5    8    0    0    0    0    0    2    0    0    0    0    19
QAT    0    4    0    0   21    1    1    0    0   48   20    5    0    0    0    0   12    0    4    0    7   123
ROU    0    0    0    0    2    1    0    3    2    0    3    0    0    0    0    0    2    9    0    0    0    22
RUS    0    0    6    0   12   21    0   22   14   38   75   13    0   81    2   11  131   22    0    0    1   449
SAU    7   51    0    0   87   12    0    0    0  362   75    6    0    0    0    2   15    9    9    0   89   724
SCT    1    0    0    0    5    1    0   60   53    1    3    0    0    1    0    2   34  212    0    0    1   374
SDN    2    2    0    0    1    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    6    12
SEN    0    0    0    0    2    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     2
SGP    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0     1
SLE    0    2    0    0   40    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    43
SLV    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    1    0    5    0    0    0     6
SOM    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
SRB    0    0    0    0    0    0    0    2    6    0    3    0    0    2    0    0    4    1    0    0    0    18
SRR    0    0    0    0    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
SVK    0    0    1    0    2    2    0    2    3    2    1    0    0    2    0    0    8    2    1    0    0    26
SVN    0    0    0    0    0    0    0    4    1    0    2    0    0    0    0    0    1    0    0    0    0     8
SWE    0    0    0    0    9   22    0  329   22    0    8    1    0   49    0   30  114  134    0    0    0   718
SYR    0    0    0    0    4    0    0    0    0    8    4    0    0    0    0    0    2    0    1    0    0    19
THA    0    0    0    0    0    0    0    0    0    0    0    0    0    0    2    0    0    0    0    0    0     2
TJK    0    0    0    0    0    0    0    0    0    0    0    2    0    0    0    0    0    0    0    0    0     2
TUN    0    0    0    0    1    1    0    0    0    1    3    0    0    0    0    0    1    1    0    0    0     8
TUR    0    0    0    0    2    8    0    1    3    5   10   11    0    4    0    3    2   11    0    0    2    62
TWN    0    0    0    0    0    0    0    0    0    0    0    0    0    0    2    0    0    0    0    0    0     2
UGA    1    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0     1
UKR    0    0    2    1   13    1    0    4   13    6   14    0    0    3    0    7   31   17    0    0    2   114
UNK    0    1    0    0    4    3    0    4    5    0    8    0    0    1    0    9    5   14    0    0    0    54
USA    0    2    0    0   77    9    0   91   72    1   22    0    0    3    1    7   34  230    0    0    3   552
VEN    0    0    0    0    0    0    0    0    0    0    1    0    0    0    0    0    0    1    0    0    0     2
VNM    0    0    1    0    0    0    0    0    0    0    0    0    0    3   40    2    0    0    0    0    0    47
WLS    0    0    0    0    2    2    0    3    5    0    0    0    0    0    0    0    1   19    0    0    0    32
YEM    0    0    0    0    4    1    0    0    0   15    2    0    0    0    0    1    2    0    0    0    3    28
ZAF    0    0    0    0    0    0    0    1    0    0    0    0    0    0    0    0    0    2    0    0    0     3
ALL   17   89   87   33  964  296  104 1210  624  763  632  111    5  616  332  213  982 2324  107    6  267  9775

Only 8 Slovenians (SVN) have been tested on YFull, so the data isn't very reliable.

Countries of interest with more than 200 samples are:

China (CHN), Germany (DEU), England (ENG), Finland (FIN), Great Britain (GBR) (I doubt this got mapped correctly), India (IND), Ireland (IRL), Italy (ITA), Kuweit (KWT), Norway (NOR), Poland (POL), Russia (RUS), Saudie Arabia (SAU), Scotland (SCT), Sweden (SWE), United States (USA)

What makes this data interesting is that it's uniform and complete. Other maps might be based on studies that didn't test for Y haplogroup T for example, so while the sampling size is poor the data may be of interest to some people.

Angela · Apr 8, 2018

Austria with 40 for J2, versus Italy with 16? Tunisia with 37 but Algeria with 8?

Not very helpful.

Expredel · Apr 9, 2018

Angela said:
Austria with 40 for J2, versus Italy with 16? Tunisia with 37 but Algeria with 8?

Not very helpful.

Those locations have the following sample sizes:

AUT Austria 10
ITA Italy 458
TUN Tunisia 8
DZA Algeria 12

The Italian results should be pretty accurate, but the other locations aren't indicative of much.

Here are the percentages for countries with more than 100 samples. This might be the first info available for Kuwait.

Code:

### a1b1    b    c    d    e    g    h   i1   i2   j1   j2    l    m    n    o    q  r1a  r1b   r2    s    t   all
CHN  0.0  0.0 11.3  1.0  0.3  0.3  0.0  0.0  0.0  0.0  0.3  0.0  0.0  7.8 75.8  0.3  1.4  1.0  0.0  0.0  0.0   293
DEU  0.0  0.0  0.0  0.0  8.5  5.4  0.0 13.6 13.6  1.7  8.2  0.0  0.0  0.3  0.0  0.7 11.2 35.7  0.0  0.0  1.0   294
ENG  0.0  0.0  0.0  0.0  5.2  1.0  0.0 24.6 11.1  0.0  2.6  0.0  0.0  0.2  0.0  1.2  8.3 45.6  0.0  0.0  0.2   496
ESP  0.0  0.0  0.7  0.0  8.6  2.9  0.0  3.6  6.5  0.7 13.7  0.0  0.0  0.0  0.0  0.0  2.2 58.3  0.0  0.0  2.9   139
FIN  0.0  0.0  0.0  0.0  0.2  0.7  0.0 24.6  1.5  0.7  0.0  0.0  0.0 59.3  0.0  0.0  6.1  7.1  0.0  0.0  0.0   609
FRA  0.0  0.0  0.0  0.0  5.0  8.0  1.0 16.0 13.0  1.0  5.0  0.0  0.0  0.0  0.0  1.0  0.0 50.0  0.0  0.0  0.0   100
GBR  0.0  0.0  0.2  0.0  1.8  3.2  0.2 23.4 13.4  0.6  2.2  0.2  0.0  0.8  0.0  1.4  5.0 47.1  0.2  0.0  0.4   501
IND  0.0  0.0  5.4  1.9  0.0  1.9 19.2  0.0  0.0  0.8 13.5 10.8  0.0  0.8  2.7  3.5 26.2  1.5 10.4  0.0  0.4   260
IRL  0.0  0.0  0.0  0.0  2.0  0.7  0.0  5.6 19.1  0.2  0.5  0.0  0.0  0.0  0.0  0.0  2.7 68.9  0.0  0.0  0.2   409
ITA  0.4  0.0  0.0  0.0 13.5 11.8  0.4  3.1  7.0  4.1 16.2  0.7  0.0  0.0  0.0  0.7  4.4 32.5  0.7  0.0  4.6   458
KWT  0.5  5.8  0.0  0.0 14.9  1.4  0.5  0.0  0.0 43.3  4.8  2.9  0.0  0.0  0.0  0.0  0.5  1.0 12.5  0.0 12.0   208
NOR  0.0  0.0  0.0  0.0  2.6  3.9  0.0 42.5  4.4  0.4  0.9  0.0  0.0  2.6  0.0  2.6 23.2 16.7  0.0  0.0  0.0   228
POL  0.0  0.0  0.8  0.0  6.0  2.4  0.0  6.4  7.6  2.8  3.6  0.0  0.0  6.4  0.0  2.8 47.0 14.1  0.0  0.0  0.0   249
PRT  0.0  0.0  0.0  0.0  5.3  3.0  0.0  4.5  4.5  4.5  9.0  0.0  0.0  0.0  0.0  0.8  0.8 64.7  0.0  0.0  3.0   133
QAT  0.0  3.3  0.0  0.0 17.1  0.8  0.8  0.0  0.0 39.0 16.3  4.1  0.0  0.0  0.0  0.0  9.8  0.0  3.3  0.0  5.7   123
RUS  0.0  0.0  1.3  0.0  2.7  4.7  0.0  4.9  3.1  8.5 16.7  2.9  0.0 18.0  0.4  2.4 29.2  4.9  0.0  0.0  0.2   449
SAU  1.0  7.0  0.0  0.0 12.0  1.7  0.0  0.0  0.0 50.0 10.4  0.8  0.0  0.0  0.0  0.3  2.1  1.2  1.2  0.0 12.3   724
SCT  0.3  0.0  0.0  0.0  1.3  0.3  0.0 16.0 14.2  0.3  0.8  0.0  0.0  0.3  0.0  0.5  9.1 56.7  0.0  0.0  0.3   374
SWE  0.0  0.0  0.0  0.0  1.3  3.1  0.0 45.8  3.1  0.0  1.1  0.1  0.0  6.8  0.0  4.2 15.9 18.7  0.0  0.0  0.0   718
UKR  0.0  0.0  1.8  0.9 11.4  0.9  0.0  3.5 11.4  5.3 12.3  0.0  0.0  2.6  0.0  6.1 27.2 14.9  0.0  0.0  1.8   114
USA  0.0  0.4  0.0  0.0 13.9  1.6  0.0 16.5 13.0  0.2  4.0  0.0  0.0  0.5  0.2  1.3  6.2 41.7  0.0  0.0  0.5   552

ALL  0.2  0.9  0.9  0.3  9.9  3.0  1.1 12.4  6.4  7.8  6.5  1.1  0.1  6.3  3.4  2.2 10.0 23.8  1.1  0.1  2.7  9775

JrTAlexie · Apr 24, 2018

no K2B, P*, P295 map yet?

Sile · Apr 24, 2018

Expredel said:
http://www.openheatmap.com/view.html?map=MughalActinosomaSemisocialist (A1b1)
http://www.openheatmap.com/view.html?map=ForeclawReredossesQuechuans (B)
http://www.openheatmap.com/view.html?map=PrecompensationExophthalmosesRoe (C)
http://www.openheatmap.com/view.html?map=UngangrenousWeentyPrimmest (D)
http://www.openheatmap.com/view.html?map=OccupationalEpitacticPrecongratulation (E)
http://www.openheatmap.com/view.html?map=SubtileWilgaEuropeans (G)
http://www.openheatmap.com/view.html?map=CaciesPerseveratorsConditotoria (H)
http://www.openheatmap.com/view.html?map=PolythalamianElaphomycetaceaesIntifadas (I1)
http://www.openheatmap.com/view.html?map=DiacetylmorphineSuperpopulatedlyCohosting (I2)
http://www.openheatmap.com/view.html?map=KrucikOrangevaleSnollygosters (J1)
http://www.openheatmap.com/view.html?map=MegalopygidaeCatenarianHeliolitidae (J2)
http://www.openheatmap.com/view.html?map=HypothenusalSlooPanellings (L)
http://www.openheatmap.com/view.html?map=CalabashHydrolantKeflex (M)
http://www.openheatmap.com/view.html?map=BeingnessKanakasForaminiferans (N)
http://www.openheatmap.com/view.html?map=TrennessPreaggravationEndosporously (O)
http://www.openheatmap.com/view.html?map=VillosityCostalgiasPatant (Q)
http://www.openheatmap.com/view.html?map=ZerumbetsAnnamDearden (R1a)
http://www.openheatmap.com/view.html?map=HopbinesDermapostasisDaintified (R1b)
http://www.openheatmap.com/view.html?map=TerylenesGeoglossumAralus (R2)
http://www.openheatmap.com/view.html?map=PinweedsSaccodermOmphalorrhexis (S)
http://www.openheatmap.com/view.html?map=SeidensFessePrealarm (T)
Based on 9775 samples.

was any ERS or HG samples used in these numbers?

I ask because Yfull are adding very many ancient samples to the tree at the moment

Sile · Apr 24, 2018

what is the code for albania ?..........I assume it to be ALB

Expredel · Apr 25, 2018

Ataneojr1 said:
no K2B, P*, P295 map yet?

Yfull has little on K2b, see for yourself:

https://www.yfull.com/tree/K2/

Sile said:
was any ERS or HG samples used in these numbers?

I ask because Yfull are adding very many ancient samples to the tree at the moment

I have no idea, I just pulled the information straight from yfull.com/tree

The code for Albania is indeed ALB.

http://www.nationsonline.org/oneworld/country_code_list.htm

Ownstyler · Apr 25, 2018

And Greece and Bosnia both have 20% I2. Small samples, country instead of region-wide areas of approximation. These maps are belong to 2010.

New Y-DNA maps YFull 2018

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