Modern population
Blang
Blang
Blang is a modern reference population in Genoplot's G25 reference catalogue (Blang), with 10 samples.
Its nearest neighbours among modern populations are Lawa, Wa and Karen Sgaw, and among ancient ones Thailand (Iron Age), Vietnam (Late Neolithic) · VNM_LN and Vietnam (Bronze Age) · Vietnam_BA.
- Period
- Modern
- Samples
- 10
- Catalogue
Blang
Nearest populations
Distance between population averages in scaled G25 space, ×100. Lower is closer. It says who resembles this population, not who descends from it; an nMonte model tests that.
| # | Population | Distance |
|---|---|---|
| 1 | LawaLawa | 1.74 |
| 2 | WaWa | 1.83 |
| 3 | Karen SgawKaren_Sgaw | 2.71 |
| 4 | CambodianCambodian | 4.16 |
| 5 | LaoLao | 4.66 |
| 6 | LahuLahu | 4.68 |
| 7 | Htin MalHtin_Mal | 5.08 |
| 8 | MlabriMlabri | 6.33 |
| 9 | Kuy SuayKuy_Suay | 6.45 |
| 10 | Nyah KurNyah_Kur | 6.49 |
| # | Population | Distance |
|---|---|---|
| 1 | Thailand (Iron Age)Thailand_IA | 3.90 |
| 2 | Vietnam (Late Neolithic) · VNM_LNVNM_LN | 5.50 |
| 3 | Vietnam (Bronze Age) · Vietnam_BAVietnam_BA | 6.16 |
| 4 | Vietnam (Bronze Age) · VNM_BAVNM_BA | 6.47 |
| 5 | Guangxi Dushan (Neolithic, China)China_Guangxi_Dushan_N | 6.53 |
| 6 | Guangxi Cenxun Sui Tang (Medieval, China)China_Guangxi_Cenxun_Sui_Tang | 7.07 |
| 7 | Guangxi Balong Jin Northern And Southern Dynasties (Antiquity, China)China_Guangxi_Balong_Jin_NorthernAndSouthernDynasties | 7.08 |
| 8 | Guangxi Yiyang Northern And Southern Dynasties Sui Tang (Medieval, China)China_Guangxi_Yiyang_NorthernAndSouthernDynasties_Sui_Tang | 7.09 |
| 9 | Vietnam (Neolithic) · VNM_NVNM_N | 7.10 |
| 10 | Guangxi Shenxian Sui Tang (Medieval, China)China_Guangxi_Shenxian_Sui_Tang | 7.27 |
Individuals 15
The samples behind this population in the catalogue. Outliers are kept out of the population's average.
| Sample |
|---|
19791709241491 |
21051709229263 |
28351709241811 |
29101709241884 |
30091709241871 |
31491709240524 |
48961709240139 |
57441709229267 |
61421709240105 |
64051709224252 |
28121709241779 outlier |
30401709222976 outlier |
33841709222247 outlier |
50391709241701 outlier |
60791709241848 outlier |