Allele Frequencies in World Populations

HLA » Allele Frequency Search

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Line Allele Population % of individuals
that have the allele
Allele
Frequency
Sample
Size
Location
1A*24:02American Samoa0.33005114_18_S_170_42_W
2A*24:02Argentina Gran Chaco Eastern Toba9.50.048013526_11_S_58_11_W
3A*24:02Argentina Gran Chaco Mataco Wichi20.50.10204927_27_S_58_59_W
4A*24:02Argentina Gran Chaco Western Toba Pilaga0.00.00001927_27_S_58_59_W
5A*24:02Argentina Rosario Toba5.80.03508632_57_S_60_39_W
6A*24:02Armenia combined Regions0.120010040_11_N_44_31_E
7A*24:02Australia Cape York Peninsula Aborigine0.223010310_41_S_142_32_E
8A*24:02Australia Groote Eylandt Aborigine0.29307513_58_S_136_35_E
9A*24:02Australia Kimberly Aborigine0.08304115_46_S_128_44_E
10A*24:02Australia New South Wales Caucasian0.082013433_0_S_146_0_E
11A*24:02Australia Yuendumu Aborigine0.298019122_15_S_131_47_E
12A*24:02Austria20.00.101020048_13_N_16_21_E
13A*24:02Azores Central Islands0.12505938_0_N_28_0_W
14A*24:02Azores Oriental Islands0.10304336_58_N_25_6_W
15A*24:02Azores Terceira Island0.113013038_44_N_27_19_W
16A*24:02Belgium12.50.06609950_50_N_4_21_E
17A*24:02Brazil Puyanawa15.30.077015010_52_S_53_5_W
18A*24:02Brazil Terena15.00.07506020_0_S_55_0_W
19A*24:02Brazil Vale do Ribeira Quilombos0.10.000014424_36_S_48_15_W
20A*24:02Cameroon Baka Pygmy0.1000108_30_N_14_0_E
21A*24:02Cameroon Bamileke0.0000775_28_N_10_25_E
22A*24:02Cameroon Beti0.00301742_55_N_11_9_E
23A*24:02Cameroon Sawa0.0770134_50_N_10_0_E
24A*24:02Cameroon Yaounde0.0050923_52_N_11_31_E
25A*24:02Cape Verde Northwestern Islands0.04806216_0_N_24_0_W
26A*24:02Cape Verde Southeastern Islands0.08906216_0_N_24_0_W
27A*24:02Chile Easter Island0.35802127_7_S_109_22_W
28A*24:02Chile Mapuche0.03086637_48_S_73_23_W
29A*24:02Chile Santiago Mixed16.07033_26_S_70_39_W
30A*24:02China Beijing0.14906739_58_N_116_24_E
31A*24:02China Beijing Shijiazhuang Tianjian Han0.105061839_54_N_116_24_E
32A*24:02China Canton Han0.163026423_6_N_113_15_E
33A*24:02China Guangxi Region Maonan0.134010823_48_N_108_59_E
34A*24:02China Guangzhou0.152010223_6_N_113_15_E
35A*24:02China Guizhou Province Bouyei0.139010926_50_N_106_50_E
36A*24:02China Guizhou Province Miao pop 20.14708526_50_N_106_50_E
37A*24:02China Guizhou Province Shui0.243015326_50_N_106_50_E
38A*24:02China Han HIV negative0.15607236_34_N_103_49_E
39A*24:02China Henan HIV negative0.15601634_0_N_113_40_E
40A*24:02China Hubei Han31.80.15903,73230_45_N_114_15_E
41A*24:02China Inner Mongolia Region0.196010236_0_N_102_0_E
42A*24:02China Jiangsu Han0.15103,23832_54_N_119_48_E
43A*24:02China Jiangsu Province Han0.174233432_54_N_119_48_E
44A*24:02China Marrow Donor Registry0.152060039_54_N_116_23_E
45A*24:02China North Han0.000010539_54_N_116_24_E
46A*24:02China Qinghai Province Hui0.164011036_0_N_102_0_E
47A*24:02China Shanxi HIV negative0.06802236_5_N_111_50_E
48A*24:02China Sichuan HIV negative0.17603430_50_N_102_49_E
49A*24:02China Southwest Dai0.081012422_0_N_100_48_E
50A*24:02China Tibet Region Tibetan0.272015829_39_N_91_7_E
51A*24:02China Uyghur HIV negative0.21101936_34_N_103_49_E
52A*24:02China Yunnan Bulang0.237011621_57_N_100_27_E
53A*24:02China Yunnan Hani0.090015021_59_N_100_49_E
54A*24:02China Yunnan Province Han0.163010124_2_N_105_3_E
55A*24:02China Yunnan Province Lisu0.118011124_30_N_101_30_E
56A*24:02China Yunnan Province Nu0.114010724_30_N_101_30_E
57A*24:02Colombia Bogotá Cord Blood38.20.20811,4634_39_N_73_52_W
58A*24:02Colombia North Chimila Amerindians0.45744710_1_N_74_13_W
59A*24:02Colombia North Wiwa El Encanto0.43275210_10_N_73_53_W
60A*24:02Croatia0.160015045_0_N_15_0_E
61A*24:02Croatia pop 40.10984,00045_48_N_15_57_E
62A*24:02Czech Republic NMDR0.09605,09949_48_N_15_30_E
63A*24:02Ecuador Amerindians0.1190630_13_S_78_30_W
64A*24:02Ecuador Cayapa0.61401831_3_N_79_12_W
65A*24:02England North West13.80.069029853_0_N_3_0_W
66A*24:02Finland0.09409163_29_N_25_16_E
67A*24:02France French Bone Marrow Donor Registry0.093542,62348_51_N_2_21_E
68A*24:02France Southeast20.00.106013046_0_N_5_0_E
69A*24:02Gaza11.90.05954231_22_N_34_18_E
70A*24:02Georgia Svaneti Region Svan0.13108042_54_N_43_0_E
71A*24:02Germany DKMS - Austria minority0.08541,69848_31_N_9_3_E
72A*24:02Germany DKMS - Bosnia and Herzegovina minority0.08411,02848_31_N_9_3_E
73A*24:02Germany DKMS - China minority0.14461,28248_31_N_9_3_E
74A*24:02Germany DKMS - Croatia minority0.11242,05748_31_N_9_3_E
75A*24:02Germany DKMS - France minority0.08891,40648_31_N_9_3_E
76A*24:02Germany DKMS - German donors0.09113,456,06648_31_N_9_3_E
77A*24:02Germany DKMS - Greece minority0.14341,89448_31_N_9_3_E
78A*24:02Germany DKMS - Italy minority0.11991,15948_31_N_9_3_E
79A*24:02Germany DKMS - Netherlands minority0.09551,37448_31_N_9_3_E
80A*24:02Germany DKMS - Portugal minority0.09031,17648_31_N_9_3_E
81A*24:02Germany DKMS - Romania minority0.10791,23448_31_N_9_3_E
82A*24:02Germany DKMS - Spain minority0.09011,10748_31_N_9_3_E
83A*24:02Germany DKMS - Turkey minority0.14474,85648_31_N_9_3_E
84A*24:02Germany DKMS - United Kingdom minority0.08591,04348_31_N_9_3_E
85A*24:02Germany pop 60.08878,86251_6_N_10_23_E
86A*24:02Germany pop 80.095439,68948_24_N_9_58_E
87A*24:02Greece pop 60.117824237_58_N_23_43_E
88A*24:02Greece pop 821.70.10848337_58_N_23_43_E
89A*24:02Guinea Bissau0.01506512_0_N_15_0_W
90A*24:02Guinea Bissau Balanta0.00004811_52_N_15_36_W
91A*24:02Guinea Bissau Bijago0.00002311_52_N_15_36_W
92A*24:02Guinea Bissau Fula0.09703111_52_N_15_36_W
93A*24:02Guinea Bissau Papel0.00002511_52_N_15_36_W
94A*24:02Hong Kong Chinese BMDR0.14727,59522_15_N_114_10_E
95A*24:02Hong Kong Chinese cord blood registry0.15253,89222_15_N_114_10_E
96A*24:02India Delhi pop 22.20.01709028_36_N_77_13_E
97A*24:02India Khandesh Region Pawra0.16005020_54_N_74_46_E
98A*24:02India Mumbai Maratha0.16709118_58_N_72_49_E
99A*24:02India Tamil Nadu0.16292,49211_32_N_78_52_E
100A*24:02India West Bhil0.00005020_54_N_74_46_E
101A*24:02India West Coast Parsi0.00005018_0_N_74_0_E
102A*24:02Indonesia Java Western25.82367_30_S_111_15_E
103A*24:02Iran Baloch0.034010029_29_N_60_52_E
104A*24:02Iran Gorgan0.12506436_50_N_54_43_E
105A*24:02Iran Kurd pop 20.17606036_17_N_46_17_E
106A*24:02Iran Tabriz Azeris0.12379738_4_N_46_17_E
107A*24:02Ireland South13.20.068025053_20_N_6_15_W
108A*24:02Israel Arab pop 20.101312,30132_8_N_34_52_E
109A*24:02Israel Argentina Jews0.01394,30732_8_N_34_52_E
110A*24:02Israel Ashkenazi Jews pop 30.01474,62532_8_N_34_52_E
111A*24:02Israel Bukhara Jews0.01912,31732_8_N_34_52_E
112A*24:02Israel Druze0.01655,91432_41_N_35_17_E
113A*24:02Israel Ethiopia Jews0.02825,92832_8_N_34_52_E
114A*24:02Israel Georgia Jews0.01074,47132_10_N_34_53_E
115A*24:02Israel Iran Jews0.00988,15332_8_N_34_52_E
116A*24:02Israel Iraq Jews0.088313,27032_10_N_34_52_E
117A*24:02Israel Kavkazi Jews0.14962,84032_10_N_34_52_E
118A*24:02Israel Libya Jews0.01353,73932_10_N_34_52_E
119A*24:02Israel Morocco Jews0.114336,71832_10_N_34_52_E
120A*24:02Israel Poland Jews0.089613,87132_10_N_34_52_E
121A*24:02Israel Tunisia Jews0.12019,07032_10_N_34_52_E
122A*24:02Israel USA Jews0.01216,05832_10_N_34_52_E
123A*24:02Israel USSR Jews0.017745,68132_9_N_34_50_E
124A*24:02Israel YemenJews0.014015,54232_9_N_34_50_E
125A*24:02Italy North pop 311.50.05809743_0_N_12_0_E
126A*24:02Italy pop 50.122097545_28_N_9_11_E
127A*24:02Japan Central0.379037135_41_N_139_46_E
128A*24:02Japan Hokkaido Ainu0.24005043_0_N_142_0_E
129A*24:02Japan pop 160.364818,60435_41_N_139_46_E
130A*24:02Japan pop 30.36201,01835_41_N_139_46_E
131A*24:02Japan pop 50.327011735_41_N_139_46_E
132A*24:02Jordan Amman0.059014631_35_N_36_20_E
133A*24:02Kenya Luo0.00602650_0_S_34_6_E
134A*24:02Kenya Nandi0.01002400_0_S_35_0_E
135A*24:02Kenya, Nyanza Province, Luo tribe2.00.01001000_5_S_34_46_E
136A*24:02Kosovo21.80.116912442_34_N_21_0_E
137A*24:02Madeira0.130018532_44_N_16_58_W
138A*24:02Malaysia Champa24.10.1380292_30_N_112_30_E
139A*24:02Malaysia Jelebu Temuan0.1040252_56_N_102_5_E
140A*24:02Malaysia Kedah Baling Kensiu0.1400255_40_N_100_55_E
141A*24:02Malaysia Kedah Kensiu14.30.0710215_40_N_100_55_E
142A*24:02Malaysia Kelantan32.10.1790282_30_N_112_30_E
143A*24:02Malaysia Mandailing33.30.2040272_30_N_112_30_E
144A*24:02Malaysia Pahang Semai36.80.1970384_11_N_102_3_E
145A*24:02Malaysia Patani20.00.1200252_30_N_112_30_E
146A*24:02Malaysia Peninsular Chinese28.90.15981943_9_N_101_57_E
147A*24:02Malaysia Peninsular Indian31.40.16792713_9_N_101_57_E
148A*24:02Malaysia Peninsular Malay35.30.19779513_9_N_101_57_E
149A*24:02Malaysia Perak Grik Jehai0.1200255_25_N_101_8_E
150A*24:02Malaysia Sarawak Bau Bidayuh0.0400251_25_N_110_9_E
151A*24:02Mali Bandiagara0.000013814_4_N_3_6_W
152A*24:02Mexico Chiapas Lacandon Mayans0.190421816_54_N_92_5_W
153A*24:02Mexico Chihuahua Chihuahua City Pop 231.80.15918828_48_N_106_26_W
154A*24:02Mexico Chihuahua Tarahumara0.37504427_30_N_107_45_W
155A*24:02Mexico Mexico City Mestizo pop 20.168823419_26_N_99_8_W
156A*24:02Mexico Mexico City Mestizo population0.143414319_25_N_99_7_W
157A*24:02Mexico Mexico City Tlalpan32.10.171233019_25_N_99_8_W
158A*24:02Mexico Mixtec0.25309723_57_N_103_29_W
159A*24:02Mexico Oaxaca Jamiltepec Mixtec0.25509616_25_N_97_58_W
160A*24:02Mexico Oaxaca Mixe0.05705517_5_N_96_45_W
161A*24:02Mexico Oaxaca Mixtec0.245010317_5_N_96_45_W
162A*24:02Mexico Oaxaca Zapotec0.23109017_5_N_96_45_W
163A*24:02Mexico Sonora Seri0.04503428_57_N_112_34_W
164A*24:02Mexico Veracruz Xalapa28.60.14298419_32_N_96_55_W
165A*24:02Morocco Atlantic Coast Chaouya0.04109830_22_N_7_22_W
166A*24:02Netherlands Leiden0.09001,30552_9_N_4_31_E
167A*24:02Netherlands UMCU28.10.14846452_5_N_5_10_E
168A*24:02New Caledonia0.60706521_0_S_165_0_E
169A*24:02New Zealand Maori with Admixed History51.40.291010542_0_S_174_0_E
170A*24:02New Zealand Maori with Full Ancestry65.20.38004642_0_S_174_0_E
171A*24:02New Zealand Polynesians with Admixed History59.30.33302742_0_S_174_0_E
172A*24:02New Zealand Polynesians with Full Ancestry57.10.31002142_0_S_174_0_E
173A*24:02Nicaragua Managua28.40.151233912_7_N_86_10_W
174A*24:02Pakistan Baloch0.08006630_0_N_67_0_E
175A*24:02Pakistan Brahui0.040010430_0_N_67_0_E
176A*24:02Pakistan Burusho0.12509236_0_N_73_0_E
177A*24:02Pakistan Kalash0.07506932_0_N_70_0_E
178A*24:02Pakistan Karachi Parsi0.04409124_49_N_66_59_E
179A*24:02Pakistan Mixed Pathan0.102010032_0_N_70_0_E
180A*24:02Pakistan Mixed Sindhi0.107010124_0_N_68_0_E
181A*24:02Panama0.22404628_59_N_79_37_W
182A*24:02Papua New Guinea East New Britain Rabaul0.3160604_12_S_152_11_E
183A*24:02Papua New Guinea Eastern Highlands Goroka Asaro0.7440576_5_S_145_23_E
184A*24:02Papua New Guinea Karimui Plateau Pawaia0.7440807_14_S_145_20_E
185A*24:02Papua New Guinea Madang0.1530655_13_S_145_48_E
186A*24:02Papua New Guinea Wanigela Keapara0.62706610_5_S_147_50_E
187A*24:02Papua New Guinea West Schrader Ranges Haruai0.1420555_5_S_144_10_E
188A*24:02Papua New Guinea Wosera Abelam0.51301313_48_S_143_2_E
189A*24:02Peru Titikaka Lake Uro0.281010515_50_S_69_42_W
190A*24:02Peru Titikaka Lake Uros0.281010515_50_S_70_1_W
191A*24:02Philippines Ivatan58.00.32005020_22_N_121_56_E
192A*24:02Poland0.125020051_7_N_17_2_E
193A*24:02Poland DKMS0.094320,65352_8_N_19_23_E
194A*24:02Portugal Azores Terceira Island22.80.114013038_43_N_27_13_W
195A*24:02Portugal Center0.08005039_0_N_8_0_W
196A*24:02Portugal North0.05404641_0_N_8_0_W
197A*24:02Portugal South0.10204937_0_N_8_0_W
198A*24:02Romania23.80.127034846_0_N_25_0_E
199A*24:02Russia Bering Island Aleuts0.216310455_0_N_166_15_E
200A*24:02Russia Karelia0.11911,07563_9_N_32_59_E
201A*24:02Russia Tuva pop 20.215016951_30_N_95_5_E
202A*24:02Sao Tome Island Angolar0.0470320_20_N_6_44_E
203A*24:02Sao Tome Island Forro0.0150660_20_N_6_44_E
204A*24:02Saudi Arabia Guraiat and Hail11.70.063021327_31_N_41_41_E
205A*24:02Senegal Niokholo Mandenka0.005016512_35_N_12_9_W
206A*24:02Singapore Riau Malay0.00801321_24_N_103_45_E
207A*24:02Singapore SGVP Chinese CHS0.1360961_21_N_103_50_E
208A*24:02Singapore SGVP Malay MAS0.1670891_21_N_103_50_E
209A*24:02Singapore SGVP. Indian INS0.1180861_21_N_103_50_E
210A*24:02South Africa Worcester11.00.057015933_39_S_19_27_E
211A*24:02South Korea pop 100.22094,12837_33_N_126_58_E
212A*24:02South Korea pop 30.217048537_33_N_126_59_E
213A*24:02Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,17.40.09084,33541_22_N_2_11_E
214A*24:02Sri Lanka Colombo30.30.16707146_56_N_79_50_E
215A*24:02Sudan Central Shaigiya Mixed2.73618_0_N_33_0_E
216A*24:02Sudan East Rashaida18.52714_0_N_35_0_E
217A*24:02Sudan Mixed9.50.05302005_0_N_35_0_E
218A*24:02Sweden Northern Sami0.212015467_0_N_18_30_E
219A*24:02Sweden Southern Sami0.132013060_52_N_14_44_E
220A*24:02Taiwan Ami84.70.62809823_0_N_121_0_E
221A*24:02Taiwan Atayal82.10.618010624_0_N_121_0_E
222A*24:02Taiwan Bunun84.20.584010123_46_N_121_0_E
223A*24:02Taiwan Hakka25.50.14505524_0_N_121_0_E
224A*24:02Taiwan Han Chinese0.158050423_46_N_121_0_E
225A*24:02Taiwan Minnan pop 134.30.186010224_0_N_121_0_E
226A*24:02Taiwan Paiwan96.10.86305123_0_N_121_0_E
227A*24:02Taiwan Pazeh58.20.33605525_0_N_121_30_E
228A*24:02Taiwan pop 20.164036423_46_N_121_0_E
229A*24:02Taiwan pop 30.179021223_46_N_121_0_E
230A*24:02Taiwan Puyuma88.00.64005023_0_N_121_0_E
231A*24:02Taiwan Rukai96.00.76005023_0_N_121_0_E
232A*24:02Taiwan Saisiat86.30.56905124_0_N_121_0_E
233A*24:02Taiwan Siraya78.40.47105124_0_N_121_0_E
234A*24:02Taiwan Tao78.00.54005024_0_N_121_0_E
235A*24:02Taiwan Taroko72.70.44505524_0_N_121_0_E
236A*24:02Taiwan Thao90.00.60003024_0_N_121_0_E
237A*24:02Taiwan Tsou98.00.78405124_0_N_121_0_E
238A*24:02Taiwan Tzu Chi Morrow Donor Registry0.160446,68225_2_N_121_38_E
239A*24:02Taiwan Tzu Chi Morrow Donor Registry Aborigine0.354123325_2_N_121_38_E
240A*24:02Taiwan Tzu Chi Cord Blood Bank0.170071023_46_N_121_0_E
241A*24:02Thailand0.039014216_7_N_102_0_E
242A*24:02Tunisia13.00.067010035_0_N_9_0_E
243A*24:02Tunisia Gabes0.09479533_53_N_10_6_E
244A*24:02Uganda Kampala0.04301610_3_N_32_6_E
245A*24:02Uganda Kampala pop 20.00901750_20_N_32_30_E
246A*24:02United Arab Emirates Abu Dhabi0.03855224_28_N_54_22_E
247A*24:02USA African American0.028025230_0_N_95_0_W
248A*24:02USA African American Bethesda8.90.044018738_0_N_78_0_W
249A*24:02USA African American pop 20.020014932_46_N_96_46_W
250A*24:02USA African American pop 30.020056438_53_N_77_2_W
251A*24:02USA African American pop 40.02212,41144_58_N_93_15_W
252A*24:02USA Alaska Yupik0.581025260_48_N_161_26_W
253A*24:02USA Arizona Gila River Amerindian0.341049233_4_N_111_44_W
254A*24:02USA Asian0.189035830_0_N_95_0_W
255A*24:02USA Asian pop 20.18241,77244_58_N_93_15_W
256A*24:02USA Caucasian Bethesda20.60.107030738_0_N_78_0_W
257A*24:02USA Caucasian pop 20.066026530_0_N_95_0_W
258A*24:02USA Caucasian pop 30.13108832_46_N_96_48_W
259A*24:02USA Caucasian pop 40.09531,07038_53_N_77_2_W
260A*24:02USA Hawaii Okinawa0.343010621_0_N_157_0_W
261A*24:02USA Hispanic0.122023430_0_N_95_0_W
262A*24:02USA Hispanic pop 20.12321,99944_58_N_93_15_W
263A*24:02USA NMDP African0.022028,55738_45_N_76_6_W
264A*24:02USA NMDP African American pop 20.0245416,58138_45_N_76_6_W
265A*24:02USA NMDP Alaska Native or Aleut0.22901,37638_45_N_76_6_W
266A*24:02USA NMDP American Indian South or Central America0.11205,92638_45_N_76_6_W
267A*24:02USA NMDP Caribean Black0.025133,32838_45_N_76_6_W
268A*24:02USA NMDP Caribean Hispanic0.0938115,37438_45_N_76_6_W
269A*24:02USA NMDP Caribean Indian0.095014,33938_45_N_76_6_W
270A*24:02USA NMDP Chinese0.151999,67238_45_N_76_6_W
271A*24:02USA NMDP European Caucasian0.08461,242,89038_45_N_76_6_W
272A*24:02USA NMDP Filipino0.239950,61438_45_N_76_6_W
273A*24:02USA NMDP Hawaiian or other Pacific Islander0.239311,49938_45_N_76_6_W
274A*24:02USA NMDP Hispanic South or Central American0.1316146,71438_45_N_76_6_W
275A*24:02USA NMDP Japanese0.353024,58238_45_N_76_6_W
276A*24:02USA NMDP Korean0.221177,58438_45_N_76_6_W
277A*24:02USA NMDP Mexican or Chicano0.1304261,23538_45_N_76_6_W
278A*24:02USA NMDP Middle Eastern or North Coast of Africa0.117470,89038_45_N_76_6_W
279A*24:02USA NMDP North American Amerindian0.129235,79138_45_N_76_6_W
280A*24:02USA NMDP South Asian Indian0.1362185,39138_45_N_76_6_W
281A*24:02USA NMDP Southeast Asian0.138027,97838_45_N_76_6_W
282A*24:02USA NMDP Vietnamese0.110943,54038_45_N_76_6_W
283A*24:02USA North American Native0.227018730_0_N_95_0_W
284A*24:02USA Philadelphia Caucasian20.00.104014139_56_N_75_10_W
285A*24:02USA San Antonio Caucasian0.084322229_23_N_98_33_W
286A*24:02USA San Diego20.00.111049632_50_N_117_15_W
287A*24:02USA San Francisco Caucasian0.078022037_46_N_122_25_W
288A*24:02USA South Dakota Lakota Sioux0.262030244_30_N_100_0_W
289A*24:02USA South Texas Hispanic0.152019429_0_N_98_0_W
290A*24:02Venezuela Sierra de Perija Yucpa0.2330739_0_N_72_0_W
291A*24:02Vietnam Hanoi Kinh pop 20.138017021_2_N_105_51_E
292A*24:02Zambia Lusaka0.00004415_25_S_28_17_E
293A*24:02Zimbabwe Harare Shona0.004023017_51_S_31_1_E
294A*24:02:01Brazil Barra Mansa Rio State Black0.02747322_32_S_44_10_W
295A*24:02:01Brazil Barra Mansa Rio State Caucasian0.081540522_32_S_44_10_W
296A*24:02:01Brazil Rio de Janeiro Black0.08096822_54_S_43_12_W
297A*24:02:01Brazil Rio de Janeiro Caucasian0.086452122_54_S_43_12_W
298A*24:02:01Brazil Rio de Janeiro Parda0.076517022_54_S_43_12_W
299A*24:02:01China Jingpo Minority26.20.141010525_0_N_102_0_E
300A*24:02:01China Zhejiang Han0.16701,73427_2_N_118_1_E
301A*24:02:01Costa Rica African -Caribbean (G)6.80.03901029_59_N_83_1_W
302A*24:02:01Costa Rica Amerindians (G)56.50.35101259_34_N_83_25_W
303A*24:02:01Costa Rica Central Valley Mestizo (G)25.40.13602219_55_N_84_5_W
304A*24:02:01Costa Rica Guanacaste Mestizo (G)28.20.150011010_16_N_85_37_W
305A*24:02:01England Blood Donors of Mixed Ethnicity12.30.064551952_21_N_1_10_W
306A*24:02:01Hong Kong Chinese HKBMDR HLA 11 loci25.00.13465,26622_25_N_114_17_E
307A*24:02:01India Andhra Pradesh Telugu Speaking25.80.137118613_4_N_80_14_E
308A*24:02:01India Karnataka Kannada Speaking29.30.155017412_57_N_77_36_E
309A*24:02:01India Kerala Malayalam speaking28.10.154435613_1_N_80_15_E
310A*24:02:01Japan Okinawa Ryukyuan0.335014326_4_N_127_8_E
311A*24:02:01Mexico Hidalgo Mezquital Valley/ Otomi29.20.18757220_28_N_99_13_W
312A*24:02:01Mongolia Buryat0.200014147_6_N_118_6_E
313A*24:02:01Nicaragua Mestizo (G)25.90.139015512_40_N_85_13_W
314A*24:02:01Poland BMR17.80.092023,59552_0_N_19_22_E
315A*24:02:01Saudi Arabia pop 6 (G)0.074728,92723_52_N_45_4_E
316A*24:02:01South Africa Caucasians0.070010230_0_S_25_0_E
317A*24:02:01South African Black4.20.021114229_9_S_24_39_E
318A*24:02:01South African Indian population28.00.16005029_22_S_24_31_E
319A*24:02:01South African Mixed ancestry18.00.09005029_22_S_24_31_E
320A*24:02:01Spain, Canary Islands, Gran canaria island17.70.093021527_57_N_15_36_W
321A*24:02:01The Russian Federation, Bashkortostan, Bashkirs13.30.079212054_0_N_55_0_E
322A*24:02:01The Russian Federation, Bashkortostan, Tatars1.00.005219254_13_N_56_9_E
323A*24:02:01The Russian Federation, Nizhny Novgorod, Russians3.40.01691,51056_19_N_43_59_E
324A*24:02:01USA Arizona Gila River Pima0.35523,00033_4_N_111_43_W
325A*24:02:01USA Mexican American Mestizo0.146055338_53_N_77_2_W
326A*24:02:01USA San Francisco Caucasian0.075022037_46_N_122_25_W
327A*24:02:01Vietnam Kinh26.00.128710114_5_N_108_27_E
328A*24:02:01:01Bolivia/Chile Aymara NA-DHS_13 (G)35.00.17502022_0_S_70_0_W
329A*24:02:01:01Bolivia/Peru Quechua NA-DHS_12 (G)28.60.14292114_0_S_74_0_W
330A*24:02:01:01Brazil Belo Horizonte Caucasian22.10.11609519_55_S_43_56_W
331A*24:02:01:01Brazil Mixed0.086010823_10_S_47_48_W
332A*24:02:01:01Bulgaria0.11805542_0_N_23_0_E
333A*24:02:01:01Bulgaria Romani0.08301342_44_N_23_20_E
334A*24:02:01:01Canada Chipewyan NA-DHS_2 (G)48.00.26002559_36_N_107_20_W
335A*24:02:01:01Canada Cree NA-DHS_3 (G)38.90.22221850_20_N_102_30_W
336A*24:02:01:01Canada Ojibwa NA-DHS_4 (G)33.30.16671646_0_N_81_0_W
337A*24:02:01:01Chile Huilliche NA-DHS_14 (G)25.00.15002041_0_S_73_0_W
338A*24:02:01:01China Guangdong Province Meizhou Han0.222010024_27_N_116_7_E
339A*24:02:01:01China North Han0.152010539_54_N_116_24_E
340A*24:02:01:01China South Han0.172028423_1_N_113_3_E
341A*24:02:01:01China Yunnan Province Jinuo0.183010924_30_N_101_30_E
342A*24:02:01:01China Yunnan Province Wa0.130011924_30_N_101_30_E
343A*24:02:01:01Colombia Arhuaco NA-DHS_16 (G)64.70.44121711_0_N_73_0_W
344A*24:02:01:01Colombia Embera NA-DHS_19 (G)92.90.5357147_0_N_76_0_W
345A*24:02:01:01Colombia Inga NA-DHS_11 (G)53.30.3667161_0_N_77_0_W
346A*24:02:01:01Colombia Kogi NA-DHS_17 (G)66.70.43331511_0_N_74_0_W
347A*24:02:01:01Colombia Waunana NA-DHS_20 (G)85.00.6000205_0_N_77_0_W
348A*24:02:01:01Colombia Wayuu NA-DHS_15 (G)40.00.20001511_0_N_73_0_W
349A*24:02:01:01Colombia Zenu NA-DHS_18 (G)75.00.4167169_0_N_75_0_W
350A*24:02:01:01Colombia/Brazil Ticuna Arara NA-DHS_21 (G)66.70.5000174_0_S_70_0_W
351A*24:02:01:01Colombia/Brazil Ticuna Tarapaca NA-DHS_22 (G)73.70.5263194_0_S_70_0_W
352A*24:02:01:01Costa Rica Cabecar NA-DHS_9 (G)52.60.34211910_0_N_84_0_W
353A*24:02:01:01Costa Rica Guaymi NA-DHS_10 (G)72.20.3611189_0_N_82_0_W
354A*24:02:01:01Cuba Caucasian21.40.11407023_8_N_82_22_W
355A*24:02:01:01Cuba Mixed Race9.50.04804223_8_N_82_22_W
356A*24:02:01:01Czech Republic0.010010650_0_N_14_0_E
357A*24:02:01:01Georgia Tibilisi0.171010941_41_N_44_57_E
358A*24:02:01:01Georgia Tibilisi Kurd0.11703141_41_N_44_57_E
359A*24:02:01:01Guatemala Kaqchikel NA-DHS_8 (G)47.40.23681915_0_N_91_0_W
360A*24:02:01:01Hong Kong Chinese28.00.154056922_16_N_114_9_E
361A*24:02:01:01India Andhra Pradesh Golla0.142011117_5_N_78_5_E
362A*24:02:01:01India New Delhi0.11407128_37_N_77_13_E
363A*24:02:01:01India North pop 20.19207225_0_N_74_0_E
364A*24:02:01:01India Tamil Nadu Nadar0.1560618_0_N_77_0_E
365A*24:02:01:01Indonesia Java pop 20.1390366_8_S_106_10_E
366A*24:02:01:01Indonesia Sundanese and Javanese0.14402016_8_S_106_10_E
367A*24:02:01:01Ireland Northern12.00.06101,00054_40_N_6_45_W
368A*24:02:01:01Israel Arab Druze0.080010131_8_N_35_2_E
369A*24:02:01:01Israel Ashkenazi and Non Ashkenazi Jews0.077014631_8_N_35_2_E
370A*24:02:01:01Kenya0.02101441_28_S_36_8_E
371A*24:02:01:01Libya Cyrenaica0.085011832_7_N_20_4_E
372A*24:02:01:01Mexico Guadalajara Mestizo pop 20.165010320_40_N_103_21_W
373A*24:02:01:01Mexico Mestizo24.40.13404119_24_N_99_9_W
374A*24:02:01:01Mexico Mixe NA-DHS_6 (G)10.00.07502017_0_N_96_0_W
375A*24:02:01:01Mexico Mixtec NA-DHS_5 (G)45.00.22502017_0_N_97_0_W
376A*24:02:01:01Mexico Zapotec NA-DHS_7 (G)20.00.10002016_0_N_97_0_W
377A*24:02:01:01Morocco Nador Metalsa pop 20.06207335_10_N_2_56_W
378A*24:02:01:01Morocco Settat Chaouya8.20.04109833_0_N_7_36_W
379A*24:02:01:01Oman11.00.059011822_0_N_56_0_E
380A*24:02:01:01Paraguay/Argentina Ache NA-DHS_24 (G)15.40.07691324_0_S_56_0_W
381A*24:02:01:01Paraguay/Argentina Guarani NA-DHS_23 (G)30.00.15001023_0_S_56_0_W
382A*24:02:01:01Russia Tundra Nentsi NA-DHS_1 (G)37.50.21881666_0_N_76_0_E
383A*24:02:01:01Saudi Arabia pop 515.80.085415824_38_N_46_43_E
384A*24:02:01:01Singapore Chinese28.20.15401491_24_N_103_45_E
385A*24:02:01:01Singapore Chinese Han0.2150941_17_N_103_51_E
386A*24:02:01:01Singapore Javaneses0.1600511_24_N_103_45_E
387A*24:02:01:01Singapore Riau Malay0.16501321_24_N_103_45_E
388A*24:02:01:01Singapore Thai0.08201001_24_N_103_45_E
389A*24:02:01:01South Africa Natal Tamil0.16005130_0_S_31_0_E
390A*24:02:01:01South Africa Natal Zulu2.00.010010029_0_S_31_0_E
391A*24:02:01:01South Korea pop 30.000048537_33_N_126_59_E
392A*24:02:01:01The Russian Federation, Bashkortostan, Bashkirs9.20.050012054_0_N_55_0_E
393A*24:02:01:01The Russian Federation, Bashkortostan, Tatars22.40.114619254_13_N_56_9_E
394A*24:02:01:01The Russian Federation, Nizhny Novgorod, Russians18.40.09471,51056_19_N_43_59_E
395A*24:02:01:01USA Alaska Yupik0.000025260_48_N_161_26_W
396A*24:02:01:01USA Arizona Pima0.360010033_0_N_113_0_W
397A*24:02:01:01USA Eastern European0.102055838_53_N_77_2_W
398A*24:02:01:01USA Italy Ancestry0.084027338_0_N_77_0_W
399A*24:02:01:01USA New Mexico Canoncito Navajo0.30504234_9_N_107_3_W
400A*24:02:01:01USA San Francisco Caucasian0.075022037_46_N_122_25_W
401A*24:02:01:01USA Spain Ancestry0.002027938_0_N_77_0_W
402A*24:02:01:01Venezuela Perja Mountain Bari0.6020559_49_N_72_49_W
403A*24:02:01:02LBrazil Belo Horizonte Caucasian0.00.00009519_55_S_43_56_W
404A*24:02:01:02LBulgaria0.00005542_0_N_23_0_E
405A*24:02:01:02LChina North Han0.000010539_54_N_116_24_E
406A*24:02:01:02LCuba Caucasian0.00.00007023_8_N_82_22_W
407A*24:02:01:02LCuba Mixed Race0.00.00004223_8_N_82_22_W
408A*24:02:01:02LCzech Republic0.000010650_0_N_14_0_E
409A*24:02:01:02LFrance French Bone Marrow Donor Registry0.002542,62348_51_N_2_21_E
410A*24:02:01:02LHong Kong Chinese HKBMDR HLA 11 loci0.00.00015,26622_25_N_114_17_E
411A*24:02:01:02LIndia North pop 20.01007225_0_N_74_0_E
412A*24:02:01:02LIreland Northern0.00.00001,00054_40_N_6_45_W
413A*24:02:01:02LMexico Mestizo0.00.00004119_24_N_99_9_W
414A*24:02:01:02LMorocco Nador Metalsa pop 20.00007335_10_N_2_56_W
415A*24:02:01:02LMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
416A*24:02:01:02LOman0.90.004011822_0_N_56_0_E
417A*24:02:01:02LPakistan Baloch0.00006630_0_N_67_0_E
418A*24:02:01:02LPakistan Brahui0.006010430_0_N_67_0_E
419A*24:02:01:02LPakistan Burusho0.00009236_0_N_73_0_E
420A*24:02:01:02LPakistan Kalash0.01706932_0_N_70_0_E
421A*24:02:01:02LPakistan Karachi Parsi0.00009124_49_N_66_59_E
422A*24:02:01:02LPakistan Mixed Pathan0.005010032_0_N_70_0_E
423A*24:02:01:02LPakistan Mixed Sindhi0.006010124_0_N_68_0_E
424A*24:02:01:02LSingapore Chinese0.00.00001491_24_N_103_45_E
425A*24:02:01:02LSouth Africa Natal Zulu0.00.000010029_0_S_31_0_E
426A*24:02:01:02LSouth Korea pop 30.000048537_33_N_126_59_E
427A*24:02:01:02LUSA Alaska Yupik0.000025260_48_N_161_26_W
428A*24:02:02Brazil Rio de Janeiro Caucasian0.001052122_54_S_43_12_W
429A*24:02:02Bulgaria0.00005542_0_N_23_0_E
430A*24:02:02China North Han0.000010539_54_N_116_24_E
431A*24:02:02Italy North pop 30.00.00009743_0_N_12_0_E
432A*24:02:02Morocco Nador Metalsa pop 20.00007335_10_N_2_56_W
433A*24:02:02Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
434A*24:02:02Saudi Arabia pop 51.30.006315824_38_N_46_43_E
435A*24:02:02South Korea pop 30.000048537_33_N_126_59_E
436A*24:02:02USA Alaska Yupik0.000025260_48_N_161_26_W
437A*24:02:03QBulgaria0.00005542_0_N_23_0_E
438A*24:02:03QChina North Han0.000010539_54_N_116_24_E
439A*24:02:03QItaly North pop 30.00.00009743_0_N_12_0_E
440A*24:02:03QMorocco Settat Chaouya0.00.00009833_0_N_7_36_W
441A*24:02:04Bulgaria0.00005542_0_N_23_0_E
442A*24:02:04China North Han0.000010539_54_N_116_24_E
443A*24:02:04Italy North pop 30.00.00009743_0_N_12_0_E
444A*24:02:04Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
445A*24:02:04Saudi Arabia pop 6 (G)0.000228,92723_52_N_45_4_E
446A*24:02:05China North Han0.000010539_54_N_116_24_E
447A*24:02:05India Karnataka Kannada Speaking0.60.003017412_57_N_77_36_E
448A*24:02:05Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
449A*24:02:05Saudi Arabia pop 6 (G)0.000828,92723_52_N_45_4_E
450A*24:02:06Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
451A*24:02:07Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
452A*24:02:08Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
453A*24:02:09Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
454A*24:02:10Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
455A*24:02:10Poland BMR0.00.000023,59552_0_N_19_22_E
456A*24:02:11Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
457A*24:02:12Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
458A*24:02:13India Andhra Pradesh Telugu Speaking2.70.013418613_4_N_80_14_E
459A*24:02:13India Kerala Malayalam speaking0.30.001035613_1_N_80_15_E
460A*24:02:13Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
461A*24:02:13Poland BMR0.00.000123,59552_0_N_19_22_E
462A*24:02:13The Russian Federation, Bashkortostan, Bashkirs0.80.004212054_0_N_55_0_E
463A*24:02:13The Russian Federation, Nizhny Novgorod, Russians0.10.00071,51056_19_N_43_59_E
464A*24:02:13Vietnam Kinh1.00.005010114_5_N_108_27_E
465A*24:02:14Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
466A*24:02:15Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
467A*24:02:16Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
468A*24:02:17Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
469A*24:02:18Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
470A*24:02:19Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
471A*24:02:19Poland BMR0.00.000023,59552_0_N_19_22_E
472A*24:02:19Saudi Arabia pop 6 (G)0.000028,92723_52_N_45_4_E
473A*24:02:20Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
474A*24:02:21Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
475A*24:02:22Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
476A*24:02:23Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
477A*24:02:24Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
478A*24:02:25Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
479A*24:02:26Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
480A*24:02:27Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
481A*24:02:28Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
482A*24:02:29Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
483A*24:02:30Morocco Settat Chaouya0.00.00009833_0_N_7_36_W
484A*24:02:31China Zhejiang Han0.00031,73427_2_N_118_1_E
485A*24:02:31Hong Kong Chinese HKBMDR HLA 11 loci0.10.00055,26622_25_N_114_17_E
486A*24:02:40China Zhejiang Han0.00031,73427_2_N_118_1_E
487A*24:02:40Hong Kong Chinese HKBMDR HLA 11 loci0.40.00225,26622_25_N_114_17_E
488A*24:02:40Vietnam Kinh1.00.005010114_5_N_108_27_E
489A*24:02:46USA NMDP Black South or Central American0.00194,88938_45_N_76_6_W
490A*24:02:48Saudi Arabia pop 6 (G)0.000028,92723_52_N_45_4_E
491A*24:02:54USA NMDP Black South or Central American0.03364,88938_45_N_76_6_W
492A*24:02:102USA Arizona Gila River Pima0.00023,00033_4_N_111_43_W



   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

support@allelefrequencies.net


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