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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 |
DRB1*01 |  | Albania | | 0.0360 |  | 160 | See |  |  | |
| 2 |
DRB1*01 |  | Albania pop 2 | 10.0 | 0.0509 |  | 432 | See |  |  | |
| 3 |
DRB1*01 |  | Albanian Kosovo | | 0.0250 |  | 120 | See |  |  | |
| 4 |
DRB1*01 |  | Argentina Buenos Aires pop 2 | 19.7 | 0.1040 |  | 1,216 | See |  |  | |
| 5 |
DRB1*01 |  | Argentina Chubut Tehuelche | | 0.0220 |  | 23 | See |  |  | |
| 6 |
DRB1*01 |  | Argentina Corrientes | 14.2 | 0.0770 |  | 155 | See |  |  | |
| 7 |
DRB1*01 |  | Argentina Cuyo Region | 13.6 | 0.0730 |  | 420 | See |  |  | |
| 8 |
DRB1*01 |  | Argentina Kolla | | 0 |  | 61 | See |  |  | |
| 9 |
DRB1*01 |  | Argentina La Plata | 22.0 | 0.1150 |  | 100 | See |  |  | |
| 10 |
DRB1*01 |  | Argentina Rio Negro Mapuche | | 0.0590 |  | 34 | See |  |  | |
| 11 |
DRB1*01 |  | Argentina Salta Wichi pop 2 | 0.0 | 0 |  | 19 | See |  |  | |
| 12 |
DRB1*01 |  | Armenia Ghegharkunik | | 0.0450 |  | 242 | See |  |  | |
| 13 |
DRB1*01 |  | Armenia living in Iran | | 0.0820 |  | 85 | See |  |  | |
| 14 |
DRB1*01 |  | Armenia living in Karabakh | | 0.0650 |  | 445 | See |  |  | |
| 15 |
DRB1*01 |  | Armenia living in Lebanon | | 0.0680 |  | 368 | See |  |  | |
| 16 |
DRB1*01 |  | Armenia living in USA | | 0.0580 |  | 233 | See |  |  | |
| 17 |
DRB1*01 |  | Armenia Lori | | 0.0250 |  | 102 | See |  |  | |
| 18 |
DRB1*01 |  | Armenia Shirak | | 0.0530 |  | 76 | See |  |  | |
| 19 |
DRB1*01 |  | Armenia Syunik | | 0.0940 |  | 117 | See |  |  | |
| 20 |
DRB1*01 |  | Armenia Yerevan | | 0.0540 |  | 445 | See |  |  | |
| 21 |
DRB1*01 |  | Australia South and East Caucasian | 21.0 | 0.1111 |  | 1,210 | See |  |  | |
| 22 |
DRB1*01 |  | Australia West Caucasian | 18.0 | 0.0940 |  | 891 | See |  |  | |
| 23 |
DRB1*01 |  | Azores | | 0.1170 |  | 1,050 | See |  |  | |
| 24 |
DRB1*01 |  | Azores Terceira Island | | 0.1050 |  | 130 | See |  |  | |
| 25 |
DRB1*01 |  | Bangladesh Dhaka Bangalee | | 0.0170 |  | 141 | See |  |  | |
| 26 |
DRB1*01 |  | Belarus Brest Region | | 0.1050 |  | 105 | See |  |  | |
| 27 |
DRB1*01 |  | Belarus Gomel Region | | 0.1290 |  | 100 | See |  |  | |
| 28 |
DRB1*01 |  | Belarus Vitebsk Region | | 0.1000 |  | 70 | See |  |  | |
| 29 |
DRB1*01 |  | Bosnia and Herzegovina | | 0.0970 |  | 134 | See |  |  | |
| 30 |
DRB1*01 |  | Bosnia and Herzegovina pop 2 | 12.5 | 0.0667 |  | 120 | See |  |  | |
| 31 |
DRB1*01 |  | Brazil Curitiba-Parana Mixed | | 0.0928 |  | 264 | See |  |  | |
| 32 |
DRB1*01 |  | Brazil Guarani M bya | | 0 |  | 93 | See |  |  | |
| 33 |
DRB1*01 |  | Brazil Kaingang | | 0.0080 |  | 235 | See |  |  | |
| 34 |
DRB1*01 |  | Brazil Mato Grosso do Sul | | 0.0910 |  | 203 | See |  |  | |
| 35 |
DRB1*01 |  | Brazil Minas Gerais State Mixed | 17.8 | 0.0950 |  | 1,000 | See |  |  | |
| 36 |
DRB1*01 |  | Brazil North East Mixed | | 0.1120 |  | 205 | See |  |  | |
| 37 |
DRB1*01 |  | Brazil Para State | 16.3 | 0.0869 |  | 5,000 | See |  |  |
|
| 38 |
DRB1*01 |  | Brazil Parana Afro Brazilian | 14.3 | 0.0710 |  | 77 | See |  |  | |
| 39 |
DRB1*01 |  | Brazil Parana Cafuzo | 19.7 | 0.0990 |  | 319 | See |  |  | |
| 40 |
DRB1*01 |  | Brazil Parana Caucasian | 20.0 | 0.0990 |  | 2,775 | See |  |  | |
| 41 |
DRB1*01 |  | Brazil Parana Mixed race | 19.3 | 0.0970 |  | 186 | See |  |  | |
| 42 |
DRB1*01 |  | Brazil Parana Oriental | 24.2 | 0.1210 |  | 33 | See |  |  | |
| 43 |
DRB1*01 |  | Brazil Piaui Mixed | | 0.0880 |  | 21,943 | See |  |  | |
| 44 |
DRB1*01 |  | Brazil REDOME Acre | | 0.0896 |  | 859 | See |  |  | |
| 45 |
DRB1*01 |  | Brazil REDOME Alagoas | | 0.0929 |  | 25,349 | See |  |  | |
| 46 |
DRB1*01 |  | Brazil REDOME Amapa | | 0.0791 |  | 17,864 | See |  |  | |
| 47 |
DRB1*01 |  | Brazil REDOME Amazonas | | 0.0753 |  | 24,129 | See |  |  | |
| 48 |
DRB1*01 |  | Brazil REDOME Bahia | | 0.0938 |  | 47,399 | See |  |  | |
| 49 |
DRB1*01 |  | Brazil REDOME Ceara | | 0.0971 |  | 101,217 | See |  |  | |
| 50 |
DRB1*01 |  | Brazil REDOME Espirito Santo | | 0.0955 |  | 88,485 | See |  |  | |
| 51 |
DRB1*01 |  | Brazil REDOME Federal District | | 0.1040 |  | 29,549 | See |  |  | |
| 52 |
DRB1*01 |  | Brazil REDOME Goias | | 0.1019 |  | 88,574 | See |  |  | |
| 53 |
DRB1*01 |  | Brazil REDOME Maranhao | | 0.0914 |  | 10,180 | See |  |  | |
| 54 |
DRB1*01 |  | Brazil REDOME Mato Grosso | | 0.0956 |  | 34,649 | See |  |  | |
| 55 |
DRB1*01 |  | Brazil REDOME Mato Grosso do Sul | | 0.0934 |  | 95,667 | See |  |  | |
| 56 |
DRB1*01 |  | Brazil REDOME Minas Gerais | | 0.1019 |  | 211,275 | See |  |  | |
| 57 |
DRB1*01 |  | Brazil REDOME Para | | 0.0831 |  | 72,637 | See |  |  | |
| 58 |
DRB1*01 |  | Brazil REDOME Paraiba | | 0.1013 |  | 43,868 | See |  |  | |
| 59 |
DRB1*01 |  | Brazil REDOME Parana | | 0.1021 |  | 341,639 | See |  |  | |
| 60 |
DRB1*01 |  | Brazil REDOME Pernambuco | | 0.1005 |  | 92,332 | See |  |  | |
| 61 |
DRB1*01 |  | Brazil REDOME Piaui | | 0.0870 |  | 46,140 | See |  |  | |
| 62 |
DRB1*01 |  | Brazil REDOME Rio de Janeiro | | 0.1031 |  | 139,322 | See |  |  | |
| 63 |
DRB1*01 |  | Brazil REDOME Rio Grande do Norte | | 0.0992 |  | 46,603 | See |  |  | |
| 64 |
DRB1*01 |  | Brazil REDOME Rio Grande do Sul | | 0.1011 |  | 241,329 | See |  |  | |
| 65 |
DRB1*01 |  | Brazil REDOME Rondonia | | 0.0999 |  | 54,396 | See |  |  | |
| 66 |
DRB1*01 |  | Brazil REDOME Roraima | | 0.0832 |  | 4,140 | See |  |  | |
| 67 |
DRB1*01 |  | Brazil REDOME Santa Catarina | | 0.1091 |  | 106,673 | See |  |  | |
| 68 |
DRB1*01 |  | Brazil REDOME Sao Paulo | | 0.1005 |  | 800,809 | See |  |  | |
| 69 |
DRB1*01 |  | Brazil REDOME Sergipe | | 0.0914 |  | 7,321 | See |  |  | |
| 70 |
DRB1*01 |  | Brazil REDOME Tocantins | | 0.0958 |  | 20,692 | See |  |  | |
| 71 |
DRB1*01 |  | Brazil Rio Grande do Norte Mestizo | | 0.1000 |  | 12,973 | See |  |  | |
| 72 |
DRB1*01 |  | Brazil Rio Grande do Sul Black | | 0.0760 |  | 248 | See |  |  | |
| 73 |
DRB1*01 |  | Brazil Rio Grande do Sul Caucasoid | | 0.1090 |  | 4,428 | See |  |  | |
| 74 |
DRB1*01 |  | Brazil Rio Grande do Sul Mixed | | 0.1000 |  | 324 | See |  |  | |
| 75 |
DRB1*01 |  | Brazil Sao Paulo Bauru Mixed | | 0.1000 |  | 3,542 | See |  |  | |
| 76 |
DRB1*01 |  | Brazil Sao Paulo Mixed | 22.2 | 0.1160 |  | 239 | See |  |  | |
| 77 |
DRB1*01 |  | Brazil South East Cord Blood | | 0.1033 |  | 11,409 | See |  |  |
|
| 78 |
DRB1*01 |  | Brazil South Ribeirao Preto | | 0.0880 |  | 184 | See |  |  | |
| 79 |
DRB1*01 |  | Brazil Southeast Campinas Mixed | 24.2 | 0.1293 |  | 99 | See |  |  | |
| 80 |
DRB1*01 |  | Burkina Faso Fulani | | 0 |  | 49 | See |  |  | |
| 81 |
DRB1*01 |  | Burkina Faso Mossi | | 0.0700 |  | 53 | See |  |  | |
| 82 |
DRB1*01 |  | Burkina Faso Rimaibe | | 0.0500 |  | 47 | See |  |  | |
| 83 |
DRB1*01 |  | Chile Huilliche | | 0.0500 |  | 40 | See |  |  | |
| 84 |
DRB1*01 |  | China Beijing and Guangzhou | | 0.0100 |  | 1,592 | See |  |  | |
| 85 |
DRB1*01 |  | China Guangdong Province | 1.2 | 0.0060 |  | 403 | See |  |  | |
| 86 |
DRB1*01 |  | China Han | 7.6 | 0.0387 |  | 314 | See |  |  | |
| 87 |
DRB1*01 |  | China Jiangsu Province | | 0.0200 |  | 20,248 | See |  |  | |
| 88 |
DRB1*01 |  | China Shaanxi Province Han | | 0.0420 |  | 10,000 | See |  |  | |
| 89 |
DRB1*01 |  | China Shandong Province | 5.7 | 0.0290 |  | 7,418 | See |  |  | |
| 90 |
DRB1*01 |  | China Shandong Province Linqu County | 4.3 | 0.0217 |  | 139 | See |  |  | |
| 91 |
DRB1*01 |  | China Shanghai | | 0.0140 |  | 26,266 | See |  |  | |
| 92 |
DRB1*01 |  | China Yunnan Province Han pop 2 | | 0.0310 |  | 129 | See |  |  | |
| 93 |
DRB1*01 |  | China Yunnan Province Naxi | | 0.0130 |  | 118 | See |  |  | |
| 94 |
DRB1*01 |  | Colombia Bogota and Medellin Mestizo | | 0.0230 |  | 65 | See |  |  | |
| 95 |
DRB1*01 |  | Croatia Gorski Kotar Region | | 0.0870 |  | 63 | See |  |  | |
| 96 |
DRB1*01 |  | Croatia pop 2 | | 0.0880 |  | 100 | See |  |  | |
| 97 |
DRB1*01 |  | Croatia pop 3 | 20.0 | 0.1000 |  | 120 | See |  |  | |
| 98 |
DRB1*01 |  | Cuba Mixed pop 2 | | 0.1380 |  | 189 | See |  |  | |
| 99 |
DRB1*01 |  | Czech Republic Kurd | 8.1 | 0.0405 |  | 74 | See |  |  | |
| 100 |
DRB1*01 |  | Czech Republic pop 3 | 22.2 | 0.1190 |  | 180 | 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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