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HLA » Allele Frequency Search
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| Line | Allele | Population | % of individuals that have the allele |
Allele Frequency |
Sample Size |
Location |
|---|---|---|---|---|---|---|
| 1 | B*50:01 | Saudi Arabia Guraiat and Hail | 30.2 | 0.1730 | 213 | 27_31_N_41_41_E |
| 2 | B*50:01 | United Arab Emirates Abu Dhabi | 0.1442 | 52 | 24_28_N_54_22_E | |
| 3 | B*50:01 | Sudan East Rashaida | 25.9 | 27 | 14_0_N_35_0_E | |
| 4 | B*50:01 | Morocco Settat Chaouya | 22.0 | 0.1100 | 98 | 33_0_N_7_36_W |
| 5 | B*50:01 | Morocco Atlantic Coast Chaouya | 0.1100 | 98 | 30_22_N_7_22_W | |
| 6 | B*50:01 | Tunisia Gabes | 0.1052 | 95 | 33_53_N_10_6_E | |
| 7 | B*50:01 | Tunisia | 19.0 | 0.1000 | 100 | 35_0_N_9_0_E |
| 8 | B*50:01 | Iran Yazd | 0.0982 | 56 | 31_53_N_54_21_E | |
| 9 | B*50:01 | Gaza | 16.7 | 0.0952 | 42 | 31_22_N_34_18_E |
| 10 | B*50:01 | Israel Arab Druze | 0.0850 | 101 | 31_8_N_35_2_E | |
| 11 | B*50:01 | China Uyghur HIV negative | 0.0790 | 19 | 36_34_N_103_49_E | |
| 12 | B*50:01 | Morocco Nador Metalsa pop 2 | 0.0730 | 73 | 35_10_N_2_56_W | |
| 13 | B*50:01 | Israel Druze | 0.0686 | 5,914 | 32_41_N_35_17_E | |
| 14 | B*50:01 | Tunisia pop 3 | 0.0630 | 104 | 36_48_N_10_11_E | |
| 15 | B*50:01 | Iran Saqqez-Baneh Kurds | 0.0583 | 60 | 36_14_N_46_16_E | |
| 16 | B*50:01 | Iran Kurd pop 2 | 0.0580 | 60 | 36_17_N_46_17_E | |
| 17 | B*50:01 | Israel Tunisia Jews | 0.0563 | 9,070 | 32_10_N_34_52_E | |
| 18 | B*50:01 | Israel Ashkenazi and Non Ashkenazi Jews | 0.0550 | 146 | 31_8_N_35_2_E | |
| 19 | B*50:01 | Israel Arab pop 2 | 0.0532 | 12,301 | 32_8_N_34_52_E | |
| 20 | B*50:01 | Azores Terceira Island | 0.0510 | 130 | 38_44_N_27_19_W | |
| 21 | B*50:01 | Portugal Azores Terceira Island | 9.6 | 0.0482 | 130 | 38_43_N_27_13_W |
| 22 | B*50:01 | Israel YemenJews | 0.0467 | 15,542 | 32_9_N_34_50_E | |
| 23 | B*50:01 | Armenia combined Regions | 0.0450 | 100 | 40_11_N_44_31_E | |
| 24 | B*50:01 | Iran Tabriz Azeris | 0.0412 | 97 | 38_4_N_46_17_E | |
| 25 | B*50:01 | Israel Iran Jews | 0.0400 | 8,153 | 32_8_N_34_52_E | |
| 26 | B*50:01 | India Delhi pop 2 | 7.7 | 0.0380 | 90 | 28_36_N_77_13_E |
| 27 | B*50:01 | Georgia Svaneti Region Svan | 0.0380 | 80 | 42_54_N_43_0_E | |
| 28 | B*50:01 | Italy Bergamo | 6.9 | 0.0360 | 101 | 45_42_N_9_40_E |
| 29 | B*50:01 | Colombia Inga NA-DHS_11 (G) | 7.1 | 0.0357 | 16 | 1_0_N_77_0_W |
| 30 | B*50:01 | Georgia Tibilisi Kurd | 0.0340 | 31 | 41_41_N_44_57_E | |
| 31 | B*50:01 | Italy North pop 3 | 6.7 | 0.0330 | 97 | 43_0_N_12_0_E |
| 32 | B*50:01 | Brazil Belo Horizonte Caucasian | 6.3 | 0.0320 | 95 | 19_55_S_43_56_W |
| 33 | B*50:01 | Madeira | 0.0320 | 185 | 32_44_N_16_58_W | |
| 34 | B*50:01 | Israel Morocco Jews | 0.0311 | 36,718 | 32_10_N_34_52_E | |
| 35 | B*50:01 | Italy North Pavia | 0.0310 | 81 | 45_11_N_9_9_E | |
| 36 | B*50:01 | Portugal South | 0.0310 | 49 | 37_0_N_8_0_W | |
| 37 | B*50:01 | Germany DKMS - Turkey minority | 0.0303 | 4,856 | 48_31_N_9_3_E | |
| 38 | B*50:01 | Oman | 5.1 | 0.0300 | 118 | 22_0_N_56_0_E |
| 39 | B*50:01 | USA NMDP Middle Eastern or North Coast of Africa | 0.0297 | 70,890 | 38_45_N_76_6_W | |
| 40 | B*50:01 | Israel Libya Jews | 0.0287 | 3,739 | 32_10_N_34_52_E | |
| 41 | B*50:01 | Georgia Tibilisi | 0.0280 | 109 | 41_41_N_44_57_E | |
| 42 | B*50:01 | India North UCBB | 5.4 | 0.0270 | 5,849 | 28_36_N_77_11_E |
| 43 | B*50:01 | Bulgaria | 0.0270 | 55 | 42_0_N_23_0_E | |
| 44 | B*50:01 | Israel Poland Jews | 0.0264 | 13,871 | 32_10_N_34_52_E | |
| 45 | B*50:01 | Azores Oriental Islands | 0.0260 | 43 | 36_58_N_25_6_W | |
| 46 | B*50:01 | Israel Iraq Jews | 0.0256 | 13,270 | 32_10_N_34_52_E | |
| 47 | B*50:01 | Israel Bukhara Jews | 0.0255 | 2,317 | 32_8_N_34_52_E | |
| 48 | B*50:01 | Sudan Mixed | 5.0 | 0.0250 | 200 | 5_0_N_35_0_E |
| 49 | B*50:01 | Spain Andalusia Romani | 0.0250 | 99 | 37_22_N_5_59_W | |
| 50 | B*50:01 | Israel Georgia Jews | 0.0240 | 4,471 | 32_10_N_34_53_E | |
| 51 | B*50:01 | Israel Argentina Jews | 0.0240 | 4,307 | 32_8_N_34_52_E | |
| 52 | B*50:01 | Serbia pop 2 | 4.9 | 0.0240 | 102 | 44_13_N_20_47_E |
| 53 | B*50:01 | Czech Republic | 0.0240 | 106 | 50_0_N_14_0_E | |
| 54 | B*50:01 | Spain Andalusia | 0.0240 | 99 | 37_22_N_5_59_W | |
| 55 | B*50:01 | Switzerland Lugano | 0.0240 | 1,169 | 46_0_N_8_55_E | |
| 56 | B*50:01 | USA Hispanic | 0.0240 | 234 | 30_0_N_95_0_W | |
| 57 | B*50:01 | Israel USA Jews | 0.0239 | 6,058 | 32_10_N_34_52_E | |
| 58 | B*50:01 | Bolivia/Peru Quechua NA-DHS_12 (G) | 4.8 | 0.0238 | 21 | 14_0_S_74_0_W |
| 59 | B*50:01 | Israel Kavkazi Jews | 0.0238 | 2,840 | 32_10_N_34_52_E | |
| 60 | B*50:01 | Israel Ashkenazi Jews pop 3 | 0.0230 | 4,625 | 32_8_N_34_52_E | |
| 61 | B*50:01 | Ghana Ga-Adangbe | 4.6 | 0.0229 | 131 | 5_45_N_0_12_E |
| 62 | B*50:01 | Italy pop 5 | 0.0220 | 975 | 45_28_N_9_11_E | |
| 63 | B*50:01 | Spain Majorca and Minorca | 0.0220 | 90 | 39_37_N_2_59_E | |
| 64 | B*50:01 | Cuba Caucasian | 4.3 | 0.0210 | 70 | 23_8_N_82_22_W |
| 65 | B*50:01 | USA South Texas Hispanic | 0.0210 | 194 | 29_0_N_98_0_W | |
| 66 | B*50:01 | Switzerland Luzern | 0.0209 | 1,553 | 47_3_N_8_18_E | |
| 67 | B*50:01 | USA NMDP Caribean Hispanic | 0.0207 | 115,374 | 38_45_N_76_6_W | |
| 68 | B*50:01 | Israel Ethiopia Jews | 0.0206 | 5,928 | 32_8_N_34_52_E | |
| 69 | B*50:01 | Israel USSR Jews | 0.0202 | 45,681 | 32_9_N_34_50_E | |
| 70 | B*50:01 | Germany DKMS - Italy minority | 0.0203 | 1,159 | 48_31_N_9_3_E | |
| 71 | B*50:01 | Switzerland Aargau-Solothurn | 0.0202 | 1,838 | 46_48_N_8_13_E | |
| 72 | B*50:01 | Burkina Faso Fulani | 0.0200 | 49 | 12_50_N_1_50_W | |
| 73 | B*50:01 | China Inner Mongolia Region | 0.0200 | 102 | 36_0_N_102_0_E | |
| 74 | B*50:01 | USA Italy Ancestry | 0.0200 | 273 | 38_0_N_77_0_W | |
| 75 | B*50:01 | USA NMDP Caribean Indian | 0.0200 | 14,339 | 38_45_N_76_6_W | |
| 76 | B*50:01 | Germany DKMS - Portugal minority | 0.0200 | 1,176 | 48_31_N_9_3_E | |
| 77 | B*50:01 | Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, | 3.9 | 0.0197 | 4,335 | 41_22_N_2_11_E |
| 78 | B*50:01 | India Central UCBB | 3.9 | 0.0194 | 4,204 | 27_1_N_81_19_E |
| 79 | B*50:01 | China North Han | 0.0190 | 105 | 39_54_N_116_24_E | |
| 80 | B*50:01 | India North pop 2 | 0.0190 | 72 | 25_0_N_74_0_E | |
| 81 | B*50:01 | Singapore SGVP. Indian INS | 0.0190 | 86 | 1_21_N_103_50_E | |
| 82 | B*50:01 | Colombia Bogotá Cord Blood | 3.7 | 0.0188 | 1,463 | 4_39_N_73_52_W |
| 83 | B*50:01 | Switzerland Lausanne | 0.0182 | 993 | 46_31_N_6_39_E | |
| 84 | B*50:01 | Austria | 3.5 | 0.0180 | 200 | 48_13_N_16_21_E |
| 85 | B*50:01 | Azores Central Islands | 0.0180 | 59 | 38_0_N_28_0_W | |
| 86 | B*50:01 | China Qinghai Province Hui | 0.0180 | 110 | 36_0_N_102_0_E | |
| 87 | B*50:01 | Germany DKMS - Spain minority | 0.0176 | 1,107 | 48_31_N_9_3_E | |
| 88 | B*50:01 | USA NMDP South Asian Indian | 0.0172 | 185,391 | 38_45_N_76_6_W | |
| 89 | B*50:01 | Mexico Chihuahua Chihuahua City Pop 2 | 3.4 | 0.0170 | 88 | 28_48_N_106_26_W |
| 90 | B*50:01 | England North West | 3.4 | 0.0170 | 298 | 53_0_N_3_0_W |
| 91 | B*50:01 | Jordan Amman | 0.0170 | 146 | 31_35_N_36_20_E | |
| 92 | B*50:01 | Russia Tuva pop 2 | 0.0170 | 169 | 51_30_N_95_5_E | |
| 93 | B*50:01 | Spain Catalonia Girona | 0.0170 | 88 | 41_59_N_2_49_E | |
| 94 | B*50:01 | Malaysia Peninsular Indian | 3.3 | 0.0166 | 271 | 3_9_N_101_57_E |
| 95 | B*50:01 | Switzerland Graubunden | 0.0163 | 759 | 46_42_N_9_57_E | |
| 96 | B*50:01 | Cape Verde Southeastern Islands | 0.0160 | 62 | 16_0_N_24_0_W | |
| 97 | B*50:01 | Iran Gorgan | 0.0160 | 64 | 36_50_N_54_43_E | |
| 98 | B*50:01 | Senegal Niokholo Mandenka | 0.0160 | 165 | 12_35_N_12_9_W | |
| 99 | B*50:01 | USA African American pop 8 | 0.0160 | 605 | 39_24_N_77_25_W | |
| 100 | B*50:01 | India West UCBB | 3.1 | 0.0155 | 5,829 | 19_11_N_73_3_E |
| 101 | B*50:01 | Germany DKMS - Greece minority | 0.0156 | 1,894 | 48_31_N_9_3_E | |
| 102 | B*50:01 | USA NMDP Southeast Asian | 0.0152 | 27,978 | 38_45_N_76_6_W | |
| 103 | B*50:01 | Chile Santiago Mixed | 3.0 | 70 | 33_26_S_70_39_W | |
| 104 | B*50:01 | China Sichuan HIV negative | 0.0150 | 34 | 30_50_N_102_49_E | |
| 105 | B*50:01 | Guinea Bissau | 0.0150 | 65 | 12_0_N_15_0_W | |
| 106 | B*50:01 | India New Delhi | 0.0150 | 71 | 28_37_N_77_13_E | |
| 107 | B*50:01 | Mexico Guadalajara Mestizo pop 2 | 0.0150 | 103 | 20_40_N_103_21_W | |
| 108 | B*50:01 | Poland | 0.0150 | 200 | 51_7_N_17_2_E | |
| 109 | B*50:01 | USA NMDP Hispanic South or Central American | 0.0150 | 146,714 | 38_45_N_76_6_W | |
| 110 | B*50:01 | Croatia pop 4 | 0.0146 | 4,000 | 45_48_N_15_57_E | |
| 111 | B*50:01 | Germany DKMS - Romania minority | 0.0146 | 1,234 | 48_31_N_9_3_E | |
| 112 | B*50:01 | USA Hispanic pop 2 | 0.0145 | 1,999 | 44_58_N_93_15_W | |
| 113 | B*50:01 | Switzerland Zurich | 0.0144 | 4,875 | 47_22_N_8_32_E | |
| 114 | B*50:01 | Germany DKMS - Austria minority | 0.0141 | 1,698 | 48_31_N_9_3_E | |
| 115 | B*50:01 | Brazil Mixed | 0.0140 | 108 | 23_10_S_47_48_W | |
| 116 | B*50:01 | USA Mexican American Mestizo | 0.0140 | 553 | 38_53_N_77_2_W | |
| 117 | B*50:01 | USA Spain Ancestry | 0.0140 | 279 | 38_0_N_77_0_W | |
| 118 | B*50:01 | Switzerland Geneva pop 2 | 0.0133 | 1,267 | 46_12_N_6_8_E | |
| 119 | B*50:01 | USA NMDP Mexican or Chicano | 0.0133 | 261,235 | 38_45_N_76_6_W | |
| 120 | B*50:01 | Germany pop 8 | 0.0132 | 39,689 | 48_24_N_9_58_E | |
| 121 | B*50:01 | France French Bone Marrow Donor Registry | 0.0131 | 42,623 | 48_51_N_2_21_E | |
| 122 | B*50:01 | Croatia | 0.0130 | 150 | 45_0_N_15_0_E | |
| 123 | B*50:01 | USA Eastern European | 0.0130 | 558 | 38_53_N_77_2_W | |
| 124 | B*50:01 | Germany DKMS - France minority | 0.0128 | 1,406 | 48_31_N_9_3_E | |
| 125 | B*50:01 | India Tamil Nadu | 0.0124 | 2,492 | 11_32_N_78_52_E | |
| 126 | B*50:01 | India South UCBB | 2.4 | 0.0121 | 11,446 | 13_6_N_80_8_E |
| 127 | B*50:01 | Mexico Mexico City Tlalpan | 2.4 | 0.0121 | 330 | 19_25_N_99_8_W |
| 128 | B*50:01 | Greece pop 8 | 2.4 | 0.0121 | 83 | 37_58_N_23_43_E |
| 129 | B*50:01 | Cuba Mixed Race | 2.4 | 0.0120 | 42 | 23_8_N_82_22_W |
| 130 | B*50:01 | France Southeast | 2.3 | 0.0120 | 130 | 46_0_N_5_0_E |
| 131 | B*50:01 | Switzerland St Gallen | 0.0118 | 2,113 | 47_26_N_9_21_E | |
| 132 | B*50:01 | USA NMDP African | 0.0117 | 28,557 | 38_45_N_76_6_W | |
| 133 | B*50:01 | Germany DKMS - Bosnia and Herzegovina minority | 0.0112 | 1,028 | 48_31_N_9_3_E | |
| 134 | B*50:01 | USA Philadelphia Caucasian | 2.2 | 0.0110 | 141 | 39_56_N_75_10_W |
| 135 | B*50:01 | USA African American Bethesda | 2.1 | 0.0110 | 187 | 38_0_N_78_0_W |
| 136 | B*50:01 | Burkina Faso Rimaibe | 0.0110 | 47 | 12_50_N_1_50_W | |
| 137 | B*50:01 | Germany DKMS - United Kingdom minority | 0.0110 | 1,043 | 48_31_N_9_3_E | |
| 138 | B*50:01 | Mali Bandiagara | 0.0110 | 138 | 14_4_N_3_6_W | |
| 139 | B*50:01 | Portugal North | 0.0110 | 46 | 41_0_N_8_0_W | |
| 140 | B*50:01 | USA NMDP European Caucasian | 0.0105 | 1,242,890 | 38_45_N_76_6_W | |
| 141 | B*50:01 | Germany DKMS - German donors | 0.0105 | 3,456,066 | 48_31_N_9_3_E | |
| 142 | B*50:01 | Czech Republic NMDR | 0.0105 | 5,099 | 49_48_N_15_30_E | |
| 143 | B*50:01 | Switzerland Basel | 0.0105 | 1,888 | 47_33_N_7_34_E | |
| 144 | B*50:01 | Poland DKMS | 0.0102 | 20,653 | 52_8_N_19_23_E | |
| 145 | B*50:01 | Belgium | 2.0 | 0.0100 | 99 | 50_50_N_4_21_E |
| 146 | B*50:01 | Ireland South | 2.0 | 0.0100 | 250 | 53_20_N_6_15_W |
| 147 | B*50:01 | Ireland Northern | 1.9 | 0.0100 | 1,000 | 54_40_N_6_45_W |
| 148 | B*50:01 | New Zealand Maori with Admixed History | 1.9 | 0.0100 | 105 | 42_0_S_174_0_E |
| 149 | B*50:01 | USA San Diego | 1.9 | 0.0100 | 496 | 32_50_N_117_15_W |
| 150 | B*50:01 | Germany DKMS - Croatia minority | 0.0100 | 2,057 | 48_31_N_9_3_E | |
| 151 | B*50:01 | Italy Sardinia pop3 | 0.0100 | 100 | 39_14_N_9_3_E | |
| 152 | B*50:01 | Mexico Mixtec | 0.0100 | 97 | 23_57_N_103_29_W | |
| 153 | B*50:01 | Mexico Oaxaca Jamiltepec Mixtec | 0.0100 | 96 | 16_25_N_97_58_W | |
| 154 | B*50:01 | South Africa Natal Tamil | 0.0100 | 51 | 30_0_S_31_0_E | |
| 155 | B*50:01 | Germany pop 6 | 0.0099 | 8,862 | 51_6_N_10_23_E | |
| 156 | B*50:01 | Russia Bering Island Aleuts | 0.0096 | 104 | 55_0_N_166_15_E | |
| 157 | B*50:01 | Greece pop 6 | 0.0094 | 242 | 37_58_N_23_43_E | |
| 158 | B*50:01 | USA African American pop 4 | 0.0093 | 2,411 | 44_58_N_93_15_W | |
| 159 | B*50:01 | Ghana Accre Asutuare Akan | 0.0090 | 429 | 6_5_N_0_12_E | |
| 160 | B*50:01 | Switzerland Bern | 0.0090 | 3,545 | 46_57_N_7_27_E | |
| 161 | B*50:01 | USA Caucasian pop 2 | 0.0090 | 265 | 30_0_N_95_0_W | |
| 162 | B*50:01 | USA European American pop 2 | 0.0090 | 1,245 | 39_24_N_77_25_W | |
| 163 | B*50:01 | USA NMDP American Indian South or Central America | 0.0090 | 5,926 | 38_45_N_76_6_W | |
| 164 | B*50:01 | USA NMDP African American pop 2 | 0.0089 | 416,581 | 38_45_N_76_6_W | |
| 165 | B*50:01 | USA NMDP Caribean Black | 0.0088 | 33,328 | 38_45_N_76_6_W | |
| 166 | B*50:01 | Mexico Mexico City Mestizo pop 2 | 0.0085 | 234 | 19_26_N_99_8_W | |
| 167 | B*50:01 | Wales | 1.5 | 0.0080 | 1,798 | 51_29_N_3_11_W |
| 168 | B*50:01 | Australia New South Wales Caucasian | 0.0080 | 134 | 33_0_S_146_0_E | |
| 169 | B*50:01 | Cape Verde Northwestern Islands | 0.0080 | 62 | 16_0_N_24_0_W | |
| 170 | B*50:01 | USA NMDP Alaska Native or Aleut | 0.0080 | 1,376 | 38_45_N_76_6_W | |
| 171 | B*50:01 | USA NMDP North American Amerindian | 0.0079 | 35,791 | 38_45_N_76_6_W | |
| 172 | B*50:01 | Netherlands UMCU | 1.6 | 0.0078 | 64 | 52_5_N_5_10_E |
| 173 | B*50:01 | Nicaragua Managua | 1.5 | 0.0075 | 339 | 12_7_N_86_10_W |
| 174 | B*50:01 | USA Asian pop 2 | 0.0074 | 1,772 | 44_58_N_93_15_W | |
| 175 | B*50:01 | India East UCBB | 1.5 | 0.0073 | 2,403 | 22_25_N_88_18_E |
| 176 | B*50:01 | Romania | 1.4 | 0.0070 | 348 | 46_0_N_25_0_E |
| 177 | B*50:01 | Australia Groote Eylandt Aborigine | 0.0070 | 75 | 13_58_S_136_35_E | |
| 178 | B*50:01 | Macedonia pop 4 | 0.0070 | 216 | 42_0_N_21_0_E | |
| 179 | B*50:01 | Mexico Mexico City Mestizo population | 0.0070 | 143 | 19_25_N_99_7_W | |
| 180 | B*50:01 | Zimbabwe Harare Shona | 0.0070 | 230 | 17_51_S_31_1_E | |
| 181 | B*50:01 | Germany DKMS - China minority | 0.0066 | 1,282 | 48_31_N_9_3_E | |
| 182 | B*50:01 | USA Caucasian pop 4 | 0.0065 | 1,070 | 38_53_N_77_2_W | |
| 183 | B*50:01 | South Africa Worcester | 1.0 | 0.0060 | 159 | 33_39_S_19_27_E |
| 184 | B*50:01 | Cameroon Bamileke | 0.0060 | 77 | 5_28_N_10_25_E | |
| 185 | B*50:01 | China Beijing Shijiazhuang Tianjian Han | 0.0060 | 618 | 39_54_N_116_24_E | |
| 186 | B*50:01 | China Jiangsu Han | 0.0060 | 3,238 | 32_54_N_119_48_E | |
| 187 | B*50:01 | China Tibet Region Tibetan | 0.0060 | 158 | 29_39_N_91_7_E | |
| 188 | B*50:01 | Netherlands Leiden | 0.0060 | 1,305 | 52_9_N_4_31_E | |
| 189 | B*50:01 | USA African American | 0.0060 | 252 | 30_0_N_95_0_W | |
| 190 | B*50:01 | USA African American pop 3 | 0.0060 | 564 | 38_53_N_77_2_W | |
| 191 | B*50:01 | Germany DKMS - Netherlands minority | 0.0055 | 1,374 | 48_31_N_9_3_E | |
| 192 | B*50:01 | China Jiangsu Province Han | 0.0052 | 334 | 32_54_N_119_48_E | |
| 193 | B*50:01 | Kenya, Nyanza Province, Luo tribe | 1.0 | 0.0050 | 100 | 0_5_S_34_46_E |
| 194 | B*50:01 | Cameroon Yaounde | 0.0050 | 92 | 3_52_N_11_31_E | |
| 195 | B*50:01 | China Guangzhou | 0.0050 | 102 | 23_6_N_113_15_E | |
| 196 | B*50:01 | China Guizhou Province Bouyei | 0.0050 | 109 | 26_50_N_106_50_E | |
| 197 | B*50:01 | China Marrow Donor Registry | 0.0050 | 600 | 39_54_N_116_23_E | |
| 198 | B*50:01 | China Yunnan Province Jinuo | 0.0050 | 109 | 24_30_N_101_30_E | |
| 199 | B*50:01 | South Africa Caucasians | 0.0050 | 102 | 30_0_S_25_0_E | |
| 200 | B*50:01 | Spain Gipuzkoa Basque | 0.0050 | 100 | 43_10_N_2_10_W | |
| 201 | B*50:01 | USA North American Native | 0.0050 | 187 | 30_0_N_95_0_W | |
| 202 | B*50:01 | Russia Karelia | 0.0047 | 1,075 | 63_9_N_32_59_E | |
| 203 | B*50:01 | Panama | 0.0044 | 462 | 8_59_N_79_37_W | |
| 204 | B*50:01 | China Southwest Dai | 0.0040 | 124 | 22_0_N_100_48_E | |
| 205 | B*50:01 | Thailand | 0.0040 | 142 | 16_7_N_102_0_E | |
| 206 | B*50:01 | Thailand Northeast | 0.0040 | 66 | 15_13_N_104_51_E | |
| 207 | B*50:01 | USA Alaska Yupik | 0.0040 | 252 | 60_48_N_161_26_W | |
| 208 | B*50:01 | China Hubei Han | 0.8 | 0.0038 | 3,732 | 30_45_N_114_15_E |
| 209 | B*50:01 | Hong Kong Chinese BMDR | 0.0034 | 7,595 | 22_15_N_114_10_E | |
| 210 | B*50:01 | India Northeast UCBB | 0.7 | 0.0034 | 296 | 26_16_N_91_48_E |
| 211 | B*50:01 | Hong Kong Chinese cord blood registry | 0.0033 | 3,892 | 22_15_N_114_10_E | |
| 212 | B*50:01 | USA NMDP Hawaiian or other Pacific Islander | 0.0033 | 11,499 | 38_45_N_76_6_W | |
| 213 | B*50:01 | Sri Lanka Colombo | 0.6 | 0.0030 | 714 | 6_56_N_79_50_E |
| 214 | B*50:01 | Cameroon Beti | 0.0030 | 174 | 2_55_N_11_9_E | |
| 215 | B*50:01 | Thailand Northeast pop 2 | 0.0030 | 400 | 16_27_N_103_10_E | |
| 216 | B*50:01 | Uganda Kampala pop 2 | 0.0030 | 175 | 0_20_N_32_30_E | |
| 217 | B*50:01 | USA NMDP Chinese | 0.0027 | 99,672 | 38_45_N_76_6_W | |
| 218 | B*50:01 | Malaysia Peninsular Malay | 0.5 | 0.0026 | 951 | 3_9_N_101_57_E |
| 219 | B*50:01 | Malaysia Peninsular Chinese | 0.5 | 0.0026 | 194 | 3_9_N_101_57_E |
| 220 | B*50:01 | Switzerland Sion | 0.0025 | 832 | 46_15_N_7_23_E | |
| 221 | B*50:01 | USA NMDP Vietnamese | 0.0021 | 43,540 | 38_45_N_76_6_W | |
| 222 | B*50:01 | China Canton Han | 0.0020 | 264 | 23_6_N_113_15_E | |
| 223 | B*50:01 | China South Han | 0.0020 | 284 | 23_1_N_113_3_E | |
| 224 | B*50:01 | Kenya Luo | 0.0020 | 265 | 0_0_S_34_6_E | |
| 225 | B*50:01 | Taiwan pop 2 | 0.0020 | 364 | 23_46_N_121_0_E | |
| 226 | B*50:01 | USA San Francisco Caucasian | 0.0020 | 220 | 37_46_N_122_25_W | |
| 227 | B*50:01 | South Korea pop 10 | 0.0017 | 4,128 | 37_33_N_126_58_E | |
| 228 | B*50:01 | USA NMDP Korean | 0.0014 | 77,584 | 38_45_N_76_6_W | |
| 229 | B*50:01 | USA NMDP Filipino | 0.0013 | 50,614 | 38_45_N_76_6_W | |
| 230 | B*50:01 | Hong Kong Chinese | 0.2 | 0.0010 | 569 | 22_16_N_114_9_E |
| 231 | B*50:01 | South Korea pop 3 | 0.0010 | 485 | 37_33_N_126_59_E | |
| 232 | B*50:01 | Taiwan Tzu Chi Cord Blood Bank | 0.0010 | 710 | 23_46_N_121_0_E | |
| 233 | B*50:01 | USA Asian | 0.0010 | 358 | 30_0_N_95_0_W | |
| 234 | B*50:01 | Taiwan Tzu Chi Morrow Donor Registry | 0.0009 | 46,682 | 25_2_N_121_38_E | |
| 235 | B*50:01 | USA NMDP Japanese | 0.0005 | 24,582 | 38_45_N_76_6_W | |
| 236 | B*50:01 | Japan pop 16 | 0.0002 | 18,604 | 35_41_N_139_46_E | |
| 237 | B*50:01 | Brazil Vale do Ribeira Quilombos | 0.0 | 0.0000 | 144 | 24_36_S_48_15_W |
| 238 | B*50:01 | Australia Yuendumu Aborigine | 0.0000 | 191 | 22_15_S_131_47_E | |
| 239 | B*50:01 | Burkina Faso Mossi | 0.0000 | 53 | 12_50_N_1_50_W | |
| 240 | B*50:01 | Cameroon Baka Pygmy | 0.0000 | 10 | 8_30_N_14_0_E | |
| 241 | B*50:01 | Cameroon Sawa | 0.0000 | 13 | 4_50_N_10_0_E | |
| 242 | B*50:01 | China Beijing | 0.0000 | 67 | 39_58_N_116_24_E | |
| 243 | B*50:01 | China Guizhou Province Miao pop 2 | 0.0000 | 85 | 26_50_N_106_50_E | |
| 244 | B*50:01 | China Guizhou Province Shui | 0.0000 | 153 | 26_50_N_106_50_E | |
| 245 | B*50:01 | China Yunnan Province Wa | 0.0000 | 119 | 24_30_N_101_30_E | |
| 246 | B*50:01 | France Corsica Island | 0.0000 | 100 | 42_9_N_9_5_E | |
| 247 | B*50:01 | Kenya Nandi | 0.0000 | 240 | 0_0_S_35_0_E | |
| 248 | B*50:01 | Mexico Mestizo | 0.0 | 0.0000 | 41 | 19_24_N_99_9_W |
| 249 | B*50:01 | Philippines Ivatan | 0.0 | 0.0000 | 50 | 20_22_N_121_56_E |
| 250 | B*50:01 | Portugal Center | 0.0000 | 50 | 39_0_N_8_0_W | |
| 251 | B*50:01 | Singapore Chinese | 0.0 | 0.0000 | 149 | 1_24_N_103_45_E |
| 252 | B*50:01 | Singapore SGVP Chinese CHS | 0.0000 | 96 | 1_21_N_103_50_E | |
| 253 | B*50:01 | Singapore SGVP Malay MAS | 0.0000 | 89 | 1_21_N_103_50_E | |
| 254 | B*50:01 | South Africa Natal Zulu | 0.0 | 0.0000 | 100 | 29_0_S_31_0_E |
| 255 | B*50:01 | Taiwan Ami | 0.0 | 0.0000 | 98 | 23_0_N_121_0_E |
| 256 | B*50:01 | Taiwan Atayal | 0.0 | 0.0000 | 106 | 24_0_N_121_0_E |
| 257 | B*50:01 | Taiwan Bunun | 0.0 | 0.0000 | 101 | 23_46_N_121_0_E |
| 258 | B*50:01 | Taiwan Hakka | 0.0 | 0.0000 | 55 | 24_0_N_121_0_E |
| 259 | B*50:01 | Taiwan Minnan pop 1 | 0.0 | 0.0000 | 102 | 24_0_N_121_0_E |
| 260 | B*50:01 | Taiwan Paiwan | 0.0 | 0.0000 | 51 | 23_0_N_121_0_E |
| 261 | B*50:01 | Taiwan Pazeh | 0.0 | 0.0000 | 55 | 25_0_N_121_30_E |
| 262 | B*50:01 | Taiwan Puyuma | 0.0 | 0.0000 | 50 | 23_0_N_121_0_E |
| 263 | B*50:01 | Taiwan Rukai | 0.0 | 0.0000 | 50 | 23_0_N_121_0_E |
| 264 | B*50:01 | Taiwan Saisiat | 0.0 | 0.0000 | 51 | 24_0_N_121_0_E |
| 265 | B*50:01 | Taiwan Siraya | 0.0 | 0.0000 | 51 | 24_0_N_121_0_E |
| 266 | B*50:01 | Taiwan Tao | 0.0 | 0.0000 | 50 | 24_0_N_121_0_E |
| 267 | B*50:01 | Taiwan Taroko | 0.0 | 0.0000 | 55 | 24_0_N_121_0_E |
| 268 | B*50:01 | Taiwan Thao | 0.0 | 0.0000 | 30 | 24_0_N_121_0_E |
| 269 | B*50:01 | Taiwan Tsou | 0.0 | 0.0000 | 51 | 24_0_N_121_0_E |
| 270 | B*50:01 | Taiwan Tzu Chi Morrow Donor Registry Aborigine | 0.0000 | 233 | 25_2_N_121_38_E | |
| 271 | B*50:01 | Uganda Kampala | 0.0000 | 161 | 0_3_N_32_6_E | |
| 272 | B*50:01 | USA Caucasian Bethesda | 0.0 | 0.0000 | 307 | 38_0_N_78_0_W |
| 273 | B*50:01 | USA San Antonio Caucasian | 0.0000 | 222 | 29_23_N_98_33_W | |
| 274 | B*50:01 | Zambia Lusaka | 0.0000 | 44 | 15_25_S_28_17_E | |
| 275 | B*50:01:01 | Saudi Arabia pop 5 | 26.6 | 0.1582 | 158 | 24_38_N_46_43_E |
| 276 | B*50:01:01 | Libya Cyrenaica | 0.1440 | 118 | 32_7_N_20_4_E | |
| 277 | B*50:01:01 | Saudi Arabia pop 6 (G) | 0.1239 | 28,927 | 23_52_N_45_4_E | |
| 278 | B*50:01:01 | Brazil Barra Mansa Rio State Black | 0.0411 | 73 | 22_32_S_44_10_W | |
| 279 | B*50:01:01 | Brazil Rio de Janeiro Parda | 0.0353 | 170 | 22_54_S_43_12_W | |
| 280 | B*50:01:01 | Russia Bashkortostan, Tatars | 6.3 | 0.0313 | 192 | 54_13_N_56_9_E |
| 281 | B*50:01:01 | Spain, Canary Islands, Gran canaria island | 5.1 | 0.0256 | 215 | 27_57_N_15_36_W |
| 282 | B*50:01:01 | Russia Bashkortostan, Bashkirs | 5.0 | 0.0250 | 120 | 54_0_N_55_0_E |
| 283 | B*50:01:01 | Brazil Rio de Janeiro Caucasian | 0.0240 | 521 | 22_54_S_43_12_W | |
| 284 | B*50:01:01 | Costa Rica Guanacaste Mestizo (G) | 4.6 | 0.0230 | 110 | 10_16_N_85_37_W |
| 285 | B*50:01:01 | Brazil Barra Mansa Rio State Caucasian | 0.0173 | 405 | 22_32_S_44_10_W | |
| 286 | B*50:01:01 | Brazil Rio de Janeiro Black | 0.0149 | 68 | 22_54_S_43_12_W | |
| 287 | B*50:01:01 | Russia Belgorod region | 2.6 | 0.0131 | 153 | 50_46_N_37_27_E |
| 288 | B*50:01:01 | Russia Nizhny Novgorod, Russians | 2.6 | 0.0129 | 1,510 | 56_19_N_43_59_E |
| 289 | B*50:01:01 | Nicaragua Mestizo (G) | 2.0 | 0.0100 | 155 | 12_40_N_85_13_W |
| 290 | B*50:01:01 | South African Indian population | 2.0 | 0.0100 | 50 | 29_22_S_24_31_E |
| 291 | B*50:01:01 | Poland BMR | 1.9 | 0.0095 | 23,595 | 52_0_N_19_22_E |
| 292 | B*50:01:01 | India Karnataka Kannada Speaking | 1.7 | 0.0090 | 174 | 12_57_N_77_36_E |
| 293 | B*50:01:01 | India Kerala Malayalam speaking | 1.1 | 0.0060 | 356 | 13_1_N_80_15_E |
| 294 | B*50:01:01 | India Andhra Pradesh Telugu Speaking | 1.1 | 0.0054 | 186 | 13_4_N_80_14_E |
| 295 | B*50:01:01 | Costa Rica African -Caribbean (G) | 1.0 | 0.0050 | 102 | 9_59_N_83_1_W |
| 296 | B*50:01:01 | Costa Rica Central Valley Mestizo (G) | 1.0 | 0.0050 | 221 | 9_55_N_84_5_W |
| 297 | B*50:01:01 | England Blood Donors of Mixed Ethnicity | 0.8 | 0.0039 | 519 | 52_21_N_1_10_W |
| 298 | B*50:01:01 | China Zhejiang Han | 0.0032 | 1,734 | 27_2_N_118_1_E | |
| 299 | B*50:01:01 | Hong Kong Chinese HKBMDR HLA 11 loci | 0.6 | 0.0029 | 5,266 | 22_25_N_114_17_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