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| Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
| 1 |
A*31:01 |  | Argentina Gran Chaco Eastern Toba | 45.2 | 0.2500 |  | 135 | See |  |  | |
| 2 |
A*31:01 |  | Argentina Gran Chaco Mataco Wichi | 61.3 | 0.3860 |  | 49 | See |  |  | |
| 3 |
A*31:01 |  | Argentina Gran Chaco Western Toba Pilaga | 60.0 | 0.3000 |  | 19 | See |  |  | |
| 4 |
A*31:01 |  | Armenia combined Regions | | 0.0350 |  | 100 | See |  |  | |
| 5 |
A*31:01 |  | Belgium pop 3 | 5.5 | 0.0279 |  | 31,412 | See |  |  |
|
| 6 |
A*31:01 |  | Brazil Puyanawa | 44.0 | 0.2470 |  | 150 | See |  |  |
|
| 7 |
A*31:01 |  | Brazil Vale do Ribeira Quilombos | 0.0280 | 0 |  | 144 | See |  |  | |
| 8 |
A*31:01 |  | Chile Mapuche | | 0.0615 |  | 66 | See |  |  |
|
| 9 |
A*31:01 |  | China Han HIV negative | | 0.0630 |  | 72 | See |  |  | |
| 10 |
A*31:01 |  | China Henan HIV negative | | 0.0630 |  | 16 | See |  |  | |
| 11 |
A*31:01 |  | China Hubei Han | 5.7 | 0.0284 |  | 3,732 | See |  |  |
|
| 12 |
A*31:01 |  | China Jiangsu Han | | 0.0307 |  | 3,238 | See |  |  | |
| 13 |
A*31:01 |  | China Jiangsu Province Han | | 0.0366 |  | 334 | See |  |  | |
| 14 |
A*31:01 |  | China Sichuan HIV negative | | 0.0150 |  | 34 | See |  |  | |
| 15 |
A*31:01 |  | China Southwest Dai | | 0.0080 |  | 124 | See |  |  | |
| 16 |
A*31:01 |  | China Uyghur HIV negative | | 0.0530 |  | 19 | See |  |  | |
| 17 |
A*31:01 |  | China Yunnan Bulang | | 0.0040 |  | 116 | See |  |  | |
| 18 |
A*31:01 |  | China Yunnan Hani | | 0.0570 |  | 150 | See |  |  | |
| 19 |
A*31:01 |  | China Yunnan Province Han | | 0.0350 |  | 101 | See |  |  | |
| 20 |
A*31:01 |  | Colombia Bogotá Cord Blood | 7.9 | 0.0396 |  | 1,463 | See |  |  | |
| 21 |
A*31:01 |  | Colombia North Chimila Amerindians | | 0.0106 |  | 47 | See |  |  |
|
| 22 |
A*31:01 |  | Colombia North Wiwa El Encanto | | 0.0481 |  | 52 | See |  |  |
|
| 23 |
A*31:01 |  | Croatia pop 4 | | 0.0231 |  | 4,000 | See |  |  | |
| 24 |
A*31:01 |  | Czech Republic NMDR | | 0.0213 |  | 5,099 | See |  |  | |
| 25 |
A*31:01 |  | Ecuador Amerindians | | 0.0238 |  | 63 | See |  |  |
|
| 26 |
A*31:01 |  | England North West | 5.7 | 0.0290 |  | 298 | See |  |  | |
| 27 |
A*31:01 |  | France French Bone Marrow Donor Registry | | 0.0267 |  | 42,623 | See |  |  | |
| 28 |
A*31:01 |  | Gaza | 2.4 | 0.0119 |  | 42 | See |  |  |
|
| 29 |
A*31:01 |  | Germany DKMS - Austria minority | | 0.0289 |  | 1,698 | See |  |  | |
| 30 |
A*31:01 |  | Germany DKMS - Bosnia and Herzegovina minority | | 0.0161 |  | 1,028 | See |  |  | |
| 31 |
A*31:01 |  | Germany DKMS - China minority | | 0.0381 |  | 1,282 | See |  |  | |
| 32 |
A*31:01 |  | Germany DKMS - Croatia minority | | 0.0219 |  | 2,057 | See |  |  | |
| 33 |
A*31:01 |  | Germany DKMS - France minority | | 0.0299 |  | 1,406 | See |  |  | |
| 34 |
A*31:01 |  | Germany DKMS - German donors | | 0.0235 |  | 3,456,066 | See |  |  |
|
| 35 |
A*31:01 |  | Germany DKMS - Greece minority | | 0.0184 |  | 1,894 | See |  |  | |
| 36 |
A*31:01 |  | Germany DKMS - Italy minority | | 0.0186 |  | 1,159 | See |  |  | |
| 37 |
A*31:01 |  | Germany DKMS - Netherlands minority | | 0.0360 |  | 1,374 | See |  |  | |
| 38 |
A*31:01 |  | Germany DKMS - Portugal minority | | 0.0196 |  | 1,176 | See |  |  | |
| 39 |
A*31:01 |  | Germany DKMS - Romania minority | | 0.0288 |  | 1,234 | See |  |  | |
| 40 |
A*31:01 |  | Germany DKMS - Spain minority | | 0.0208 |  | 1,107 | See |  |  | |
| 41 |
A*31:01 |  | Germany DKMS - Turkey minority | | 0.0195 |  | 4,856 | See |  |  | |
| 42 |
A*31:01 |  | Germany DKMS - United Kingdom minority | | 0.0264 |  | 1,043 | See |  |  | |
| 43 |
A*31:01 |  | Germany pop 6 | | 0.0226 |  | 8,862 | See |  |  | |
| 44 |
A*31:01 |  | Germany pop 8 | | 0.0230 |  | 39,689 | See |  |  | |
| 45 |
A*31:01 |  | Ghana Ga-Adangbe | 0.8 | 0.0038 |  | 131 | See |  |  | |
| 46 |
A*31:01 |  | Greece pop 6 | | 0.0248 |  | 242 | See |  |  | |
| 47 |
A*31:01 |  | Greece pop 8 | 3.6 | 0.0181 |  | 83 | See |  |  | |
| 48 |
A*31:01 |  | Hong Kong Chinese BMDR | | 0.0150 |  | 7,595 | See |  |  |
|
| 49 |
A*31:01 |  | Hong Kong Chinese cord blood registry | | 0.0146 |  | 3,892 | See |  |  |
|
| 50 |
A*31:01 |  | India Central UCBB | 3.8 | 0.0190 |  | 4,204 | See |  |  |
|
| 51 |
A*31:01 |  | India East UCBB | 3.3 | 0.0167 |  | 2,403 | See |  |  |
|
| 52 |
A*31:01 |  | India North UCBB | 4.0 | 0.0198 |  | 5,849 | See |  |  |
|
| 53 |
A*31:01 |  | India Northeast UCBB | 2.0 | 0.0101 |  | 296 | See |  |  |
|
| 54 |
A*31:01 |  | India South UCBB | 6.6 | 0.0332 |  | 11,446 | See |  |  |
|
| 55 |
A*31:01 |  | India Tamil Nadu | | 0.0352 |  | 2,492 | See |  |  |
|
| 56 |
A*31:01 |  | India West UCBB | 4.5 | 0.0223 |  | 5,829 | See |  |  |
|
| 57 |
A*31:01 |  | Iran Gorgan | | 0.0390 |  | 64 | See |  |  |
|
| 58 |
A*31:01 |  | Iran Kurd pop 2 | | 0.0170 |  | 60 | See |  |  |
|
| 59 |
A*31:01 |  | Iran Saqqez-Baneh Kurds | | 0.0167 |  | 60 | See |  |  |
|
| 60 |
A*31:01 |  | Iran Tabriz Azeris | | 0.0155 |  | 97 | See |  |  |
|
| 61 |
A*31:01 |  | Iran Yazd | | 0.0268 |  | 56 | See |  |  |
|
| 62 |
A*31:01 |  | Israel Arab pop 2 | | 0.0214 |  | 12,301 | See |  |  |
|
| 63 |
A*31:01 |  | Israel Argentina Jews | | 0.0050 |  | 4,307 | See |  |  |
|
| 64 |
A*31:01 |  | Israel Ashkenazi Jews pop 3 | | 0.0199 |  | 4,625 | See |  |  |
|
| 65 |
A*31:01 |  | Israel Bukhara Jews | | 0.0110 |  | 2,317 | See |  |  |
|
| 66 |
A*31:01 |  | Israel Druze | | 0.0015 |  | 5,914 | See |  |  |
|
| 67 |
A*31:01 |  | Israel Ethiopia Jews | | 0.0001 |  | 5,928 | See |  |  |
|
| 68 |
A*31:01 |  | Israel Georgia Jews | | 0.0046 |  | 4,471 | See |  |  |
|
| 69 |
A*31:01 |  | Israel Iran Jews | | 0.0074 |  | 8,153 | See |  |  |
|
| 70 |
A*31:01 |  | Israel Iraq Jews | | 0.0118 |  | 13,270 | See |  |  |
|
| 71 |
A*31:01 |  | Israel Kavkazi Jews | | 0.0023 |  | 2,840 | See |  |  |
|
| 72 |
A*31:01 |  | Israel Libya Jews | | 0.0073 |  | 3,739 | See |  |  |
|
| 73 |
A*31:01 |  | Israel Morocco Jews | | 0.0022 |  | 36,718 | See |  |  |
|
| 74 |
A*31:01 |  | Israel Poland Jews | | 0.0229 |  | 13,871 | See |  |  |
|
| 75 |
A*31:01 |  | Israel Tunisia Jews | | 0.0121 |  | 9,070 | See |  |  |
|
| 76 |
A*31:01 |  | Israel USA Jews | | 0.0036 |  | 6,058 | See |  |  |
|
| 77 |
A*31:01 |  | Israel USSR Jews | | 0.0057 |  | 45,681 | See |  |  |
|
| 78 |
A*31:01 |  | Israel YemenJews | | 0.0078 |  | 15,542 | See |  |  |
|
| 79 |
A*31:01 |  | Italy pop 5 | | 0.0260 |  | 975 | See |  |  | |
| 80 |
A*31:01 |  | Japan pop 16 | | 0.0840 |  | 18,604 | See |  |  | |
| 81 |
A*31:01 |  | Kosovo | 0.8 | 0.0040 |  | 124 | See |  |  |
|
| 82 |
A*31:01 |  | Malaysia Champa | 3.5 | 0.0170 |  | 29 | See |  |  |
|
| 83 |
A*31:01 |  | Malaysia Mandailing | 3.7 | 0.0190 |  | 27 | See |  |  |
|
| 84 |
A*31:01 |  | Malaysia Peninsular Chinese | 2.6 | 0.0129 |  | 194 | See |  |  |
|
| 85 |
A*31:01 |  | Malaysia Peninsular Indian | 4.1 | 0.0203 |  | 271 | See |  |  |
|
| 86 |
A*31:01 |  | Malaysia Peninsular Malay | 0.8 | 0.0042 |  | 951 | See |  |  |
|
| 87 |
A*31:01 |  | Mexico Chiapas Lacandon Mayans | | 0.1697 |  | 218 | See |  |  |
|
| 88 |
A*31:01 |  | Mexico Chichen Itza Maya (prehispanic) | | 0.1915 |  | 47 | See |  |  |
|
| 89 |
A*31:01 |  | Mexico Chihuahua Chihuahua City Pop 2 | 17.0 | 0.0852 |  | 88 | See |  |  |
|
| 90 |
A*31:01 |  | Mexico Mexico City Mestizo pop 2 | | 0.0791 |  | 234 | See |  |  | |
| 91 |
A*31:01 |  | Mexico Mexico City Mestizo population | | 0.0699 |  | 143 | See |  |  |
|
| 92 |
A*31:01 |  | Mexico Mexico City Tlalpan | 10.3 | 0.0515 |  | 330 | See |  |  |
|
| 93 |
A*31:01 |  | Mexico Mixtec | | 0.0980 |  | 97 | See |  |  | |
| 94 |
A*31:01 |  | Mexico Oaxaca Jamiltepec Mixtec | | 0.0990 |  | 96 | See |  |  |
|
| 95 |
A*31:01 |  | Mexico Oaxaca Mixe | | 0.1980 |  | 55 | See |  |  | |
| 96 |
A*31:01 |  | Mexico Tixcacaltuyub Maya | | 0.1493 |  | 67 | See |  |  |
|
| 97 |
A*31:01 |  | Mexico Veracruz Xalapa | 16.7 | 0.0952 |  | 84 | See |  |  |
|
| 98 |
A*31:01 |  | Netherlands Leiden | | 0.0330 |  | 1,305 | See |  |  | |
| 99 |
A*31:01 |  | Netherlands UMCU | 3.1 | 0.0156 |  | 64 | See |  |  | |
| 100 |
A*31:01 |  | New Zealand Maori with Admixed History | 1.0 | 0.0050 |  | 105 | See |  |  |
|
Notes:
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
Important: This field has been expanded to four decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
* % of individuals that have the allele: Percentage of individuals who have the allele in the population (Individuals / n).
* Allele Frequencies shown in
green were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
AF = 1-square_root(1-PF)
PF = 1-(1-AF)
2
AF = Allele Frequency; PF = Phenotype Frequency, i.e. (%) of the individuals carrying the allele.
* Allele Frequencies marked with (*) were calculated from all alleles in the corresponding
G group.
¹ IMGT/HLA Database - For more details of the allele.
² Distribution - Graphical distribution of the allele.
³ Haplotype Association - Find HLA haplotypes with this allele.
ª Notes - See notes for ambiguous combinations of alleles.
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