Table 1. Group names and numbers of samples collected in Nepal and Bhutan.
Group/Pool1 | Country | Linguistic phylum and -cluster2 | n males | n females | Coordinates used in spatial analyses | Code3 |
Artisanal caste Indo-Aryan | Nepal | IE, Eastern Pahādī | 26 | 14 | 28,75 N/80,5 E | ACI |
Bahun (Brahmin) | Nepal | IE, Eastern Pahādī | 25 | 8 | 29,1667 N/81,1667 E | BHU |
Barām | Nepal | TB, Newaric | 32 | 6 | 28,0667 N/84,6667 E | BAR |
Black Mountain Mönpa | Bhutan | TB, East Bodish | 40 | 18 | 27,2167 N/90,2167 E | MON |
Bodo | N-India | TB, Brahmaputran | 37 | 2 | 26,6667 N/90,3333 E | BOD |
Brokkat | Bhutan | TB, Central/South Bodish | 24 | 5 | 27,7333 N/90,4333 E | KAT |
Brokpa (Bj'op) | Bhutan | TB, Central/South Bodish | 40 | 10 | 27,4 N/91,7167 E | BRP |
Bumthang | Bhutan | TB, East Bodish | 50 | 10 | 27,6667 N/90,55 E | BUM |
Central Kiranti | Nepal | TB, Kiranti | 42 | 6 | 27,1333 N/87,0458 E | CKI |
Chali | Bhutan | TB, East Bodish | 50 | 11 | 27,3833 N/91,0167 E | CHL |
Chantyal | Nepal | TB, Tamangic | 21 | 2 | 28,4 N/83,3667 E | CHN |
Chepang (Praja) | Nepal | TB, Magaric | 20 | 7 | 27,5833 N/84,7 E | CHP |
Chetri (Kshetriya) | Nepal | IE, Eastern Pahādī | 37 | 10 | 29,1667 N/81,2 E | CHE |
Dakpa (Dwagspo) | Bhutan | TB, East Bodish | 49 | 10 | 27,4667 N/91,5167 E | DAK |
Danuwar & Kachadiya Danuwar | Nepal | IE, Eastern Pahādī, IA with suspected TB substrate | 33 | 6 | 27,25 N/85,75 E | DKD |
Dhimal | Nepal | TB, Dhimalish | 20 | 2 | 26,5 N/87,7 E | DHI |
Dura | Nepal | TB | 27 | 8 | 28,2833 N/84,2 E | DUR |
Dzala | Bhutan | TB, East Bodish | 51 | 11 | 27,9 N/91,15 E | DZA |
Eastern Kiranti | Nepal | TB, Kiranti | 12 | 7 | 27,1389 N/87,4278 E | EKI |
Ghale | Nepal | TB, Tamangic | 17 | 8 | 28,2833 N/84,7333 E | GHL |
Gongduk | Bhutan | TB | 46 | 10 | 27,0833 N/90,9333 E | GNG |
Gurung | Nepal | TB, Tamangic | 40 | 6 | 28,3 N/84,1167 E | GUR |
High caste Newar | Nepal | TB, Newaric | 24 | 6 | 27,6167 N/85,4333 E | HCN |
Kham (Magar) | Nepal | TB, Magaric | 13 | 1 | 28,5 N/83 E | KHM |
Khengpa | Bhutan | TB, East Bodish | 52 | 10 | 27,1333 N/90,6833 E | KHG |
Kumal | Nepal | IE, Eastern Pahādī, IA with suspected TB substrate | 21 | 5 | 28,05 N/84,45 E | KUM |
Kurtöp | Bhutan | TB, East Bodish | 51 | 13 | 27,8167 N/90,8167 E | KUR |
Lakha | Bhutan | TB, Central/South Bodish | 50 | 10 | 27,6833 N/90,15 E | LAK |
Layap | Bhutan | TB, Central/South Bodish | 25 | 5 | 28,0667 N/89,6833 E | LAY |
Lhokpu (Lhop, Doya) | Bhutan | TB | 39 | 8 | 26,95 N/89,1167 E | LHP |
Limbu | Nepal | TB, Kiranti | 56 | 7 | 27,19 N/87,8333 E | LIM |
Magar | Nepal | TB, Magaric | 40 | 6 | 28,0833 N/83,8333 E | MGR |
Majhi (Bote) | Nepal | IE, Eastern Pahādī, IA with suspected TB substrate | 21 | 6 | 27,8333 N/83,6667 E | MAJ |
Mangde ('Nyenkha, Henke) | Bhutan | TB, East Bodish | 54 | 10 | 27,4167 N/90,2167 E | MNG |
Newar | Nepal | TB, Newaric | 44 | 10 | 27,6167 N/85,4 E | NWR |
'Ngalop (Dzongkha) | Bhutan | TB, Central/South Bodish | 50 | 10 | 27,5333 N/89,4833 E | NGA |
Nup (Trongsap) | Bhutan | TB, East Bodish | 27 | 10 | 27,5833 N/90,3333 E | NUP |
Sherpa (Solu-Khumbu) | Nepal | TB, Central/South Bodish | 20 | 5 | 27,7333 N/86,5833 E | SHE |
Tamang | Nepal | TB, Tamangic | 41 | 9 | 27,8833 N/85,4167 E | TMG |
Thakali | Nepal | TB, Tamangic | 20 | 9 | 28,8167 N/83,75 E | THK |
Thangmi | Nepal | TB, Newaric | 16 | 2 | 27,75 N/86 E | THG |
Tharu | Nepal | IE, Maithili & Bhojpuri, IA with suspected TB substrate | 28 | 7 | 27,4167 N/83,3333 E | THR |
Toto | N-India | TB, Dhimalish | 54 | 16 | 26,6667 N/89 E | TOT |
Tshangla (Shâchop) | Bhutan | TB | 50 | 11 | 27,1833 N/91,3167 E | TSH |
Western Kiranti | Nepal | TB, Kiranti | 51 | 14 | 27,3833 N/86,6 E | WKI |
Names of pools are shown in bold print, and names of groups in normal print. Alternative group-names are shown between brackets. For information about the populations included in the pools, see table S2.
Classification according to van Driem [1]; TB: Tibeto-Burman, IE: Indo-European, IA: Indo-Aryan. For more detailed cluster data, see figure S1.
Codes used in figures to indicate the populations.