Modern population

Mongol IMAR

Name: Mongol IMAR (Mongol_IMAR)
Creator: Genoplot

Mongol_IMAR

Mongol IMAR is a modern reference population in Genoplot's G25 reference catalogue (Mongol_IMAR), with 22 samples from China.

Its nearest neighbours among modern populations are Mongol Inner Mongolia, Daur and Yuku, and among ancient ones Dundgobi (Late Medieval, Mongolia), Umungobi (Late Medieval, Mongolia) and Sukhbaatar (Late Medieval, Mongolia).

Period: Modern
Country: China
Origin: China
Sampled near: Inner Mongolia 42.28, 111.67
Samples: 22
Catalogue: Mongol_IMAR

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.

Modern
#	Population	Distance
1	Mongol Inner Mongolia`Mongol_Inner_Mongolia`	2.20
2	Daur`Daur`	4.06
3	Yuku`Yuku`	4.91
4	Xibo`Xibo`	5.13
5	Mongol`Mongol`	5.30
6	Mongola`Mongola`	5.36
7	Hezhen`Hezhen`	5.54
8	Tibetan Gangcha`Tibetan_Gangcha`	6.16
9	Tu`Tu`	7.10
10	Baoan`Baoan`	7.23

Ancient
#	Population	Distance
1	Dundgobi (Late Medieval, Mongolia)`Mongolia_Dundgobi_LateMedieval`	2.49
2	Umungobi (Late Medieval, Mongolia)`Mongolia_Umungobi_LateMedieval`	3.24
3	Sukhbaatar (Late Medieval, Mongolia)`Mongolia_Sukhbaatar_LateMedieval`	3.28
4	Uvurkhangai EIALate Medieval (Medieval, Mongolia)`Mongolia_Uvurkhangai_EIALateMedieval`	3.77
5	Bulgan Xiongnu (Iron Age, Mongolia)`Mongolia_Bulgan_Xiongnu`	4.48
6	Selenge (Late Medieval, Mongolia)`Mongolia_Selenge_LateMedieval`	4.51
7	Tuv (Late Medieval, Mongolia)`Mongolia_Tuv_LateMedieval`	4.76
8	Bulgan (Late Medieval, Mongolia)`Mongolia_Bulgan_LateMedieval`	5.21
9	Tuv Xiongnu (Iron Age, Mongolia)`Mongolia_Tuv_Xiongnu`	5.73
10	Heshui Mohe 1 (Early Medieval, Russia)`Russia_EarlyMedieval_Heshui_Mohe_1`	5.81

Individuals 39

The samples behind this population in the catalogue. Outliers are kept out of the population's average.

Sample	Origin
`10501809288926`	China
`12031809296839`	China
`12501809306197`	China
`13721809217907`	China
`17371809288951`	China
`22711809298037`	China
`29951809218380`	China
`34171809211056`	China
`39441809211045`	China
`43141809210924`	China
`44421809289007`	China
`50951809306243`	China
`55381809296824`	China
`57051809211097`	China
`60191809218096`	China
`64001809288852`	China
`70111809297093`	China
`72021809289030`	China
`73541809217962`	China
`73711809187856`	China
`74671809219121`	China
`78031809280160`	China
`11911809296061` outlier	China
`18891809210920` outlier	China
`22551809210977` outlier	China
`22641808164944` outlier	China
`23051809288846` outlier	China
`30601809288887` outlier	China
`31661809211106` outlier	China
`32351809296156` outlier	China
`46181809296161` outlier	China
`46201809218379` outlier	China
`52661809219373` outlier	China
`53381809296101` outlier	China
`56611809289031` outlier	China
`57601809287969` outlier	China
`60101809187336` outlier	China
`61021809289026` outlier	China
`67441809296932` outlier	China