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*01:01Bulgaria Romani0.33301342_44_N_23_20_E
2A*01:01Ireland South44.80.250025053_20_N_6_15_W
3A*01:01Israel Iran Jews0.21808,15332_8_N_34_52_E
4A*01:01England North West38.60.208029853_0_N_3_0_W
5A*01:01Ireland Northern36.40.20201,00054_40_N_6_45_W
6A*01:01Israel Morocco Jews0.197136,71832_10_N_34_52_E
7A*01:01Netherlands UMCU37.50.19536452_5_N_5_10_E
8A*01:01Australia New South Wales Caucasian0.187013433_0_S_146_0_E
9A*01:01Israel Iraq Jews0.182913,27032_10_N_34_52_E
10A*01:01Germany DKMS - United Kingdom minority0.18031,04348_31_N_9_3_E
11A*01:01Gaza33.30.17864231_22_N_34_18_E
12A*01:01Netherlands Leiden0.17501,30552_9_N_4_31_E
13A*01:01Israel Tunisia Jews0.17129,07032_10_N_34_52_E
14A*01:01Israel Ashkenazi and Non Ashkenazi Jews0.171014631_8_N_35_2_E
15A*01:01South Africa Natal Tamil0.17005130_0_S_31_0_E
16A*01:01USA Caucasian pop 40.16821,07038_53_N_77_2_W
17A*01:01Germany DKMS - Netherlands minority0.16811,37448_31_N_9_3_E
18A*01:01USA Caucasian Bethesda28.70.165030738_0_N_78_0_W
19A*01:01USA NMDP European Caucasian0.16461,242,89038_45_N_76_6_W
20A*01:01Israel Arab pop 20.164212,30132_8_N_34_52_E
21A*01:01Malaysia Peninsular Indian28.80.16422713_9_N_101_57_E
22A*01:01Czech Republic NMDR0.16075,09949_48_N_15_30_E
23A*01:01USA San Francisco Caucasian0.160022037_46_N_122_25_W
24A*01:01India Tamil Nadu0.15932,49211_32_N_78_52_E
25A*01:01Germany DKMS - Austria minority0.15611,69848_31_N_9_3_E
26A*01:01Belgium29.20.15509950_50_N_4_21_E
27A*01:01Singapore SGVP. Indian INS0.1550861_21_N_103_50_E
28A*01:01USA NMDP South Asian Indian0.1545185,39138_45_N_76_6_W
29A*01:01Germany pop 60.15418,86251_6_N_10_23_E
30A*01:01Italy North pop 326.90.15409743_0_N_12_0_E
31A*01:01Germany DKMS - Bosnia and Herzegovina minority0.15131,02848_31_N_9_3_E
32A*01:01USA Caucasian pop 20.151026530_0_N_95_0_W
33A*01:01Germany pop 80.150739,68948_24_N_9_58_E
34A*01:01USA San Antonio Caucasian0.150622229_23_N_98_33_W
35A*01:01Sudan Central Shaigiya Mixed27.83618_0_N_33_0_E
36A*01:01France Southeast27.70.150013046_0_N_5_0_E
37A*01:01Israel Libya Jews0.14623,73932_10_N_34_52_E
38A*01:01Austria27.00.146020048_13_N_16_21_E
39A*01:01Germany DKMS - Romania minority0.14571,23448_31_N_9_3_E
40A*01:01Greece pop 825.30.14468337_58_N_23_43_E
41A*01:01Germany DKMS - France minority0.13761,40648_31_N_9_3_E
42A*01:01Poland DKMS0.137720,65352_8_N_19_23_E
43A*01:01USA Caucasian pop 30.13608832_46_N_96_48_W
44A*01:01USA NMDP Middle Eastern or North Coast of Africa0.135070,89038_45_N_76_6_W
45A*01:01Pakistan Mixed Sindhi0.133010124_0_N_68_0_E
46A*01:01Poland0.133020051_7_N_17_2_E
47A*01:01Germany DKMS - Italy minority0.13301,15948_31_N_9_3_E
48A*01:01Switzerland Lausanne0.132599346_31_N_6_39_E
49A*01:01Israel USA Jews0.13136,05832_10_N_34_52_E
50A*01:01France French Bone Marrow Donor Registry0.130142,62348_51_N_2_21_E
51A*01:01Portugal Center0.13005039_0_N_8_0_W
52A*01:01Israel Argentina Jews0.12964,30732_8_N_34_52_E
53A*01:01Israel Poland Jews0.129413,87132_10_N_34_52_E
54A*01:01Pakistan Mixed Pathan0.128010032_0_N_70_0_E
55A*01:01Switzerland Bern0.12783,54546_57_N_7_27_E
56A*01:01Czech Republic0.127010650_0_N_14_0_E
57A*01:01Armenia combined Regions0.125010040_11_N_44_31_E
58A*01:01India Andhra Pradesh Golla0.125011117_5_N_78_5_E
59A*01:01Croatia pop 40.12444,00045_48_N_15_57_E
60A*01:01Switzerland St Gallen0.12432,11347_26_N_9_21_E
61A*01:01India Mumbai Maratha0.12309118_58_N_72_49_E
62A*01:01Romania23.00.122034846_0_N_25_0_E
63A*01:01Germany DKMS - Croatia minority0.12132,05748_31_N_9_3_E
64A*01:01Israel USSR Jews0.120545,68132_9_N_34_50_E
65A*01:01Switzerland Basel0.12041,88847_33_N_7_34_E
66A*01:01USA NMDP North American Amerindian0.120235,79138_45_N_76_6_W
67A*01:01USA Philadelphia Caucasian21.50.119014139_56_N_75_10_W
68A*01:01USA NMDP American Indian South or Central America0.11905,92638_45_N_76_6_W
69A*01:01Germany DKMS - Spain minority0.11891,10748_31_N_9_3_E
70A*01:01Kenya Nandi0.11802400_0_S_35_0_E
71A*01:01Switzerland Aargau-Solothurn0.11651,83846_48_N_8_13_E
72A*01:01Germany DKMS - Portugal minority0.11581,17648_31_N_9_3_E
73A*01:01Saudi Arabia Guraiat and Hail21.60.115021327_31_N_41_41_E
74A*01:01Azores Oriental Islands0.11504336_58_N_25_6_W
75A*01:01India North pop 20.11507225_0_N_74_0_E
76A*01:01USA NMDP Southeast Asian0.114727,97838_45_N_76_6_W
77A*01:01Switzerland Sion0.114683246_15_N_7_23_E
78A*01:01Greece pop 60.113624237_58_N_23_43_E
79A*01:01Sri Lanka Colombo21.10.11307146_56_N_79_50_E
80A*01:01Tunisia21.00.112010035_0_N_9_0_E
81A*01:01Tunisia Gabes0.11059533_53_N_10_6_E
82A*01:01Portugal Azores Terceira Island21.90.109613038_43_N_27_13_W
83A*01:01Azores Terceira Island0.109013038_44_N_27_19_W
84A*01:01Sri Lanka Colombo Sinhalese0.10901016_56_N_79_50_E
85A*01:01Israel Ashkenazi Jews pop 30.10784,62532_8_N_34_52_E
86A*01:01USA San Diego20.00.106049632_50_N_117_15_W
87A*01:01India Delhi pop 220.00.10509028_36_N_77_13_E
88A*01:01USA NMDP Alaska Native or Aleut0.10501,37638_45_N_76_6_W
89A*01:01Switzerland Geneva pop 20.10481,26746_12_N_6_8_E
90A*01:01Germany DKMS - Greece minority0.10381,89448_31_N_9_3_E
91A*01:01Germany DKMS - Turkey minority0.10324,85648_31_N_9_3_E
92A*01:01Italy pop 50.102097545_28_N_9_11_E
93A*01:01Russia Karelia0.10141,07563_9_N_32_59_E
94A*01:01Switzerland Zurich0.10024,87547_22_N_8_32_E
95A*01:01Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria,18.80.09854,33541_22_N_2_11_E
96A*01:01Croatia0.097015045_0_N_15_0_E
97A*01:01Russia Bering Island Aleuts0.096210455_0_N_166_15_E
98A*01:01Sweden Southern Sami0.093013060_52_N_14_44_E
99A*01:01Brazil Mixed0.091010823_10_S_47_48_W
100A*01:01China Shanxi HIV negative0.09102236_5_N_111_50_E
101A*01:01Mexico Chihuahua Chihuahua City Pop 218.20.09098828_48_N_106_26_W
102A*01:01Switzerland Luzern0.09071,55347_3_N_8_18_E
103A*01:01India Tamil Nadu Nadar0.0900618_0_N_77_0_E
104A*01:01Finland0.08909163_29_N_25_16_E
105A*01:01Israel Druze0.08865,91432_41_N_35_17_E
106A*01:01Mexico Mestizo14.60.08504119_24_N_99_9_W
107A*01:01Iran Kurd pop 20.08306036_17_N_46_17_E
108A*01:01Pakistan Karachi Parsi0.08309124_49_N_66_59_E
109A*01:01Sweden Northern Sami0.083015467_0_N_18_30_E
110A*01:01Uganda Kampala0.08301610_3_N_32_6_E
111A*01:01Guinea Bissau Fula0.08103111_52_N_15_36_W
112A*01:01Azores Central Islands0.08005938_0_N_28_0_W
113A*01:01Guinea Bissau Papel0.08002511_52_N_15_36_W
114A*01:01Cuba Caucasian15.70.07907023_8_N_82_22_W
115A*01:01Brazil Belo Horizonte Caucasian13.70.07909519_55_S_43_56_W
116A*01:01Jordan Amman0.079014631_35_N_36_20_E
117A*01:01Argentina Rosario Toba15.10.07608632_57_S_60_39_W
118A*01:01Portugal North0.07604641_0_N_8_0_W
119A*01:01USA North American Native0.075018730_0_N_95_0_W
120A*01:01Switzerland Lugano0.07441,16946_0_N_8_55_E
121A*01:01USA African American Bethesda14.80.074018738_0_N_78_0_W
122A*01:01Kenya Luo0.07402650_0_S_34_6_E
123A*01:01USA NMDP Mexican or Chicano0.0735261,23538_45_N_76_6_W
124A*01:01USA NMDP Hispanic South or Central American0.0726146,71438_45_N_76_6_W
125A*01:01Switzerland Graubunden0.072175946_42_N_9_57_E
126A*01:01Oman14.40.072011822_0_N_56_0_E
127A*01:01Cuba Mixed Race14.30.07104223_8_N_82_22_W
128A*01:01Singapore Javaneses0.0700511_24_N_103_45_E
129A*01:01Malaysia Champa13.80.0690292_30_N_112_30_E
130A*01:01Israel Bukhara Jews0.06892,31732_8_N_34_52_E
131A*01:01United Arab Emirates Abu Dhabi0.06735224_28_N_54_22_E
132A*01:01Georgia Tibilisi Kurd0.06703141_41_N_44_57_E
133A*01:01USA Hispanic pop 20.06701,99944_58_N_93_15_W
134A*01:01USA NMDP Caribean Hispanic0.0666115,37438_45_N_76_6_W
135A*01:01South Africa Worcester13.00.066015933_39_S_19_27_E
136A*01:01Russia Tuva pop 20.066016951_30_N_95_5_E
137A*01:01Uganda Kampala pop 20.06601750_20_N_32_30_E
138A*01:01Israel Kavkazi Jews0.06352,84032_10_N_34_52_E
139A*01:01Pakistan Brahui0.063010430_0_N_67_0_E
140A*01:01USA NMDP Caribean Indian0.063014,33938_45_N_76_6_W
141A*01:01New Zealand Maori with Admixed History12.40.062010542_0_S_174_0_E
142A*01:01Chile Mapuche0.06156637_48_S_73_23_W
143A*01:01Colombia Bogotá Cord Blood12.00.06081,4634_39_N_73_52_W
144A*01:01Mexico Mexico City Tlalpan12.10.060633019_25_N_99_8_W
145A*01:01USA Hispanic0.060023430_0_N_95_0_W
146A*01:01USA South Texas Hispanic0.060019429_0_N_98_0_W
147A*01:01China Sichuan HIV negative0.05903430_50_N_102_49_E
148A*01:01Georgia Tibilisi0.057010941_41_N_44_57_E
149A*01:01Chile Santiago Mixed11.07033_26_S_70_39_W
150A*01:01New Zealand Polynesians with Admixed History11.10.05602742_0_S_174_0_E
151A*01:01Georgia Svaneti Region Svan0.05608042_54_N_43_0_E
152A*01:01USA African American0.056025230_0_N_95_0_W
153A*01:01China Qinghai Province Hui0.055011036_0_N_102_0_E
154A*01:01China Inner Mongolia Region0.054010236_0_N_102_0_E
155A*01:01Pakistan Burusho0.05409236_0_N_73_0_E
156A*01:01USA African American pop 20.054014932_46_N_96_46_W
157A*01:01Australia Cape York Peninsula Aborigine0.053010310_41_S_142_32_E
158A*01:01Portugal South0.05104937_0_N_8_0_W
159A*01:01USA Asian pop 20.05081,77244_58_N_93_15_W
160A*01:01USA NMDP African0.050628,55738_45_N_76_6_W
161A*01:01Sudan Mixed10.00.05002005_0_N_35_0_E
162A*01:01India Khandesh Region Pawra0.05005020_54_N_74_46_E
163A*01:01New Zealand Polynesians with Full Ancestry9.50.04802142_0_S_174_0_E
164A*01:01Ecuador Amerindians0.0476630_13_S_78_30_W
165A*01:01USA African American pop 40.04742,41144_58_N_93_15_W
166A*01:01Sao Tome Island Angolar0.0470320_20_N_6_44_E
167A*01:01USA NMDP African American pop 20.0467416,58138_45_N_76_6_W
168A*01:01Kenya, Nyanza Province, Luo tribe9.00.04501000_5_S_34_46_E
169A*01:01USA NMDP Caribean Black0.044933,32838_45_N_76_6_W
170A*01:01USA NMDP Hawaiian or other Pacific Islander0.044711,49938_45_N_76_6_W
171A*01:01New Zealand Maori with Full Ancestry8.70.04404642_0_S_174_0_E
172A*01:01Brazil Puyanawa8.70.043015010_52_S_53_5_W
173A*01:01Singapore SGVP Malay MAS0.0420891_21_N_103_50_E
174A*01:01Israel Georgia Jews0.04084,47132_10_N_34_53_E
175A*01:01South Africa Natal Zulu8.00.040010029_0_S_31_0_E
176A*01:01Israel Arab Druze0.040010131_8_N_35_2_E
177A*01:01Panama0.03964628_59_N_79_37_W
178A*01:01Israel Ethiopia Jews0.03915,92832_8_N_34_52_E
179A*01:01Germany DKMS - China minority0.03801,28248_31_N_9_3_E
180A*01:01India New Delhi0.03807128_37_N_77_13_E
181A*01:01Vietnam Hanoi Kinh pop 20.038017021_2_N_105_51_E
182A*01:01Nicaragua Managua7.20.037433912_7_N_86_10_W
183A*01:01Malaysia Mandailing7.40.0370272_30_N_112_30_E
184A*01:01China Beijing0.03706739_58_N_116_24_E
185A*01:01China Jiangsu Han0.03703,23832_54_N_119_48_E
186A*01:01Mexico Mexico City Mestizo pop 20.036323419_26_N_99_8_W
187A*01:01Zambia Lusaka0.03504415_25_S_28_17_E
188A*01:01China Beijing Shijiazhuang Tianjian Han0.034061839_54_N_116_24_E
189A*01:01USA NMDP Vietnamese0.033243,54038_45_N_76_6_W
190A*01:01Singapore Riau Malay0.03201321_24_N_103_45_E
191A*01:01Iran Gorgan0.03106436_50_N_54_43_E
192A*01:01Kenya0.03101441_28_S_36_8_E
193A*01:01Pakistan Baloch0.03006630_0_N_67_0_E
194A*01:01Sao Tome Island Forro0.0300660_20_N_6_44_E
195A*01:01Thailand0.028014216_7_N_102_0_E
196A*01:01Australia Groote Eylandt Aborigine0.02707513_58_S_136_35_E
197A*01:01Senegal Niokholo Mandenka0.027016512_35_N_12_9_W
198A*01:01Indonesia Java Western5.12367_30_S_111_15_E
199A*01:01Cameroon Bamileke0.0260775_28_N_10_25_E
200A*01:01China Uyghur HIV negative0.02601936_34_N_103_49_E
201A*01:01Malaysia Peninsular Malay4.50.02319513_9_N_101_57_E
202A*01:01China Hubei Han4.60.02293,73230_45_N_114_15_E
203A*01:01Ghana Ga-Adangbe4.60.02291315_45_N_0_12_E
204A*01:01Guinea Bissau Bijago0.02202311_52_N_15_36_W
205A*01:01Mexico Oaxaca Zapotec0.02209017_5_N_96_45_W
206A*01:01Colombia North Chimila Amerindians0.02124710_1_N_74_13_W
207A*01:01Guinea Bissau Balanta0.02104811_52_N_15_36_W
208A*01:01USA NMDP Korean0.020877,58438_45_N_76_6_W
209A*01:01Malaysia Patani4.00.0200252_30_N_112_30_E
210A*01:01China Marrow Donor Registry0.020060039_54_N_116_23_E
211A*01:01Israel YemenJews0.019915,54232_9_N_34_50_E
212A*01:01South Korea pop 100.01954,12837_33_N_126_58_E
213A*01:01Colombia North Wiwa El Encanto0.01925210_10_N_73_53_W
214A*01:01Mexico Oaxaca Mixe0.01905517_5_N_96_45_W
215A*01:01Malaysia Kelantan3.60.0180282_30_N_112_30_E
216A*01:01Japan pop 50.018011735_41_N_139_46_E
217A*01:01South Korea pop 30.018048537_33_N_126_59_E
218A*01:01Mexico Veracruz Xalapa3.60.01798419_32_N_96_55_W
219A*01:01China Jiangsu Province Han0.017433432_54_N_119_48_E
220A*01:01Singapore SGVP Chinese CHS0.0160961_21_N_103_50_E
221A*01:01China Yunnan Province Han0.015010124_2_N_105_3_E
222A*01:01USA Asian0.015035830_0_N_95_0_W
223A*01:01USA NMDP Chinese0.014599,67238_45_N_76_6_W
224A*01:01USA NMDP Filipino0.012550,61438_45_N_76_6_W
225A*01:01Singapore Chinese Han0.0120941_17_N_103_51_E
226A*01:01Taiwan pop 30.012021223_46_N_121_0_E
227A*01:01USA South Dakota Lakota Sioux0.012030244_30_N_100_0_W
228A*01:01Hong Kong Chinese2.10.011056922_16_N_114_9_E
229A*01:01Cameroon Beti0.01101742_55_N_11_9_E
230A*01:01Cameroon Yaounde0.0110923_52_N_11_31_E
231A*01:01Venezuela Perja Mountain Bari0.0110559_49_N_72_49_W
232A*01:01China Guangzhou0.010010223_6_N_113_15_E
233A*01:01India West Coast Parsi0.01005018_0_N_74_0_E
234A*01:01Mexico Mixtec0.01009723_57_N_103_29_W
235A*01:01Mexico Oaxaca Jamiltepec Mixtec0.01009616_25_N_97_58_W
236A*01:01USA NMDP Japanese0.010024,58238_45_N_76_6_W
237A*01:01Japan Central0.009037135_41_N_139_46_E
238A*01:01Taiwan Tzu Chi Cord Blood Bank0.009071023_46_N_121_0_E
239A*01:01Hong Kong Chinese cord blood registry0.00903,89222_15_N_114_10_E
240A*01:01Hong Kong Chinese BMDR0.00847,59522_15_N_114_10_E
241A*01:01Australia Yuendumu Aborigine0.008019122_15_S_131_47_E
242A*01:01Mali Bandiagara0.007013814_4_N_3_6_W
243A*01:01Taiwan Tzu Chi Morrow Donor Registry0.006946,68225_2_N_121_38_E
244A*01:01Taiwan Tzu Chi Morrow Donor Registry Aborigine0.006423325_2_N_121_38_E
245A*01:01China Canton Han0.006026423_6_N_113_15_E
246A*01:01Taiwan pop 20.006036423_46_N_121_0_E
247A*01:01USA Arizona Pima0.006010033_0_N_113_0_W
248A*01:01Malaysia Peninsular Chinese1.00.00521943_9_N_101_57_E
249A*01:01Taiwan Minnan pop 11.00.005010224_0_N_121_0_E
250A*01:01China Guizhou Province Bouyei0.005010926_50_N_106_50_E
251A*01:01China South Han0.005028423_1_N_113_3_E
252A*01:01Peru Titikaka Lake Uro0.005010515_50_S_69_42_W
253A*01:01Peru Titikaka Lake Uros0.005010515_50_S_70_1_W
254A*01:01Singapore Thai0.00501001_24_N_103_45_E
255A*01:01USA Hawaii Okinawa0.005010621_0_N_157_0_W
256A*01:01Japan pop 160.004018,60435_41_N_139_46_E
257A*01:01Taiwan Han Chinese0.004050423_46_N_121_0_E
258A*01:01USA Alaska Yupik0.004025260_48_N_161_26_W
259A*01:01USA Arizona Gila River Amerindian0.004049233_4_N_111_44_W
260A*01:01Zimbabwe Harare Shona0.004023017_51_S_31_1_E
261A*01:01Singapore Chinese0.70.00301491_24_N_103_45_E
262A*01:01Mexico Chiapas Lacandon Mayans0.002321816_54_N_92_5_W
263A*01:01Japan pop 30.00201,01835_41_N_139_46_E
264A*01:01Brazil Vale do Ribeira Quilombos0.00.000014424_36_S_48_15_W
265A*01:01Cameroon Baka Pygmy0.0000108_30_N_14_0_E
266A*01:01Cameroon Sawa0.0000134_50_N_10_0_E
267A*01:01Central African Republic Mbenzele Pygmy0.0363_32_N_16_4_E
268A*01:01China Guizhou Province Miao pop 20.00008526_50_N_106_50_E
269A*01:01China Guizhou Province Shui0.000015326_50_N_106_50_E
270A*01:01China North Han0.000010539_54_N_116_24_E
271A*01:01India West Bhil0.00005020_54_N_74_46_E
272A*01:01Japan Hokkaido Ainu0.00005043_0_N_142_0_E
273A*01:01Mexico Oaxaca Mixtec0.000010317_5_N_96_45_W
274A*01:01Pakistan Kalash0.00006932_0_N_70_0_E
275A*01:01Philippines Ivatan0.00.00005020_22_N_121_56_E
276A*01:01Taiwan Ami0.00.00009823_0_N_121_0_E
277A*01:01Taiwan Atayal0.00.000010624_0_N_121_0_E
278A*01:01Taiwan Bunun0.00.000010123_46_N_121_0_E
279A*01:01Taiwan Hakka0.00.00005524_0_N_121_0_E
280A*01:01Taiwan Paiwan0.00.00005123_0_N_121_0_E
281A*01:01Taiwan Pazeh0.00.00005525_0_N_121_30_E
282A*01:01Taiwan Puyuma0.00.00005023_0_N_121_0_E
283A*01:01Taiwan Rukai0.00.00005023_0_N_121_0_E
284A*01:01Taiwan Saisiat0.00.00005124_0_N_121_0_E
285A*01:01Taiwan Siraya0.00.00005124_0_N_121_0_E
286A*01:01Taiwan Tao0.00.00005024_0_N_121_0_E
287A*01:01Taiwan Taroko0.00.00005524_0_N_121_0_E
288A*01:01Taiwan Thao0.00.00003024_0_N_121_0_E
289A*01:01Taiwan Tsou0.00.00005124_0_N_121_0_E



   

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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