Line |
Allele |
Population |
% of individuals
that have the allele |
Allele
Frequency
(in_decimals) |
Sample
Size |
IMGT/HLA¹
Database |
Distribution² |
Haplotype³
Association |
Notesª |
701 |
B*52:01:01 |  | Cape Verde Northwestern Islands | | 0.0080 |  | 62 | See |  |  | |
702 |
B*52:01:01 |  | Costa Rica Central Valley Mestizo (G) | 1.4 (*) | 0.0070 (*) |  | 221 | See |  |  |
|
703 |
B*52:01:01 |  | Morocco Settat Chaouya | 1.4 | 0.0070 |  | 98 | See |  |  | |
704 |
B*52:01:01 |  | Morocco Atlantic Coast Chaouya | | 0.0070 |  | 98 | See |  |  | |
705 |
B*52:01:01 |  | Mexico Hidalgo Mezquital Valley/ Otomi | 1.4 | 0.0069 |  | 72 | See |  |  | |
706 |
B*52:01:01 |  | Singapore Chinese Han | | 0.0060 |  | 94 | See |  |  | |
707 |
B*52:01:01 |  | USA Arizona Pima | | 0.0060 |  | 100 | See |  |  | |
708 |
B*52:01:01 |  | Costa Rica African -Caribbean (G) | 1.0 (*) | 0.0050 (*) |  | 102 | See |  |  |
|
709 |
B*52:01:01 |  | Georgia Tibilisi | | 0.0050 |  | 109 | See |  |  | |
710 |
B*52:01:01 |  | Madeira | | 0.0050 |  | 185 | See |  |  | |
711 |
B*52:01:01 |  | USA Spain Ancestry | | 0.0040 |  | 279 | See |  |  | |
712 |
B*52:01:01 |  | Russia Bashkortostan, Tatars | 0.5 | 0.0026 |  | 192 | See |  |  |
|
713 |
B*52:01:01 |  | USA African American pop 3 | | 0.0020 |  | 564 | See |  |  | |
714 |
B*52:01:01 |  | Russia Nizhny Novgorod, Russians | 0.3 | 0.0017 |  | 1,510 | See |  |  |
|
715 |
B*52:01:01 |  | USA Arizona Gila River Pima | | 0.0013 |  | 3,000 | See |  |  | |
716 |
B*52:01:01 |  | Cape Verde Southeastern Islands | | 0 |  | 62 | See |  |  | |
717 |
B*52:01:01 |  | China Guizhou Province Bouyei | | 0 |  | 109 | See |  |  | |
718 |
B*52:01:01 |  | China Guizhou Province Shui | | 0 |  | 153 | See |  |  | |
719 |
B*52:01:01 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
720 |
B*52:01:01 |  | Guinea Bissau | | 0 |  | 65 | See |  |  | |
721 |
B*52:01:01 |  | India Khandesh Region Pawra | | 0 |  | 50 | See |  |  | |
722 |
B*52:01:01 |  | India West Bhil | | 0 |  | 50 | See |  |  | |
723 |
B*52:01:01 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
724 |
B*52:01:01 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
725 |
B*52:01:01 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
726 |
B*52:01:01 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
727 |
B*52:01:01 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
728 |
B*52:01:01 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
729 |
B*52:01:01 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
730 |
B*52:01:01 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
731 |
B*52:01:01 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
732 |
B*52:01:01 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
733 |
B*52:01:01 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
734 |
B*52:01:01 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
735 |
B*52:01:01 |  | Taiwan Siraya | 0.0 | 0 |  | 51 | See |  |  | |
736 |
B*52:01:01 |  | Taiwan Tao | 0.0 | 0 |  | 50 | See |  |  | |
737 |
B*52:01:01 |  | Taiwan Taroko | 0.0 | 0 |  | 55 | See |  |  | |
738 |
B*52:01:01 |  | Taiwan Thao | 0.0 | 0 |  | 30 | See |  |  | |
739 |
B*52:01:01 |  | Taiwan Tsou | 0.0 | 0 |  | 51 | See |  |  | |
740 |
B*52:01:01:01 |  | Pakistan Mixed Punjabi | 12.2 | 0.0630 |  | 389 | See |  |  |
|
741 |
B*52:01:01:01 |  | Libya Cyrenaica | | 0.0380 |  | 118 | See |  |  | |
742 |
B*52:01:01:01 |  | Russia Nizhny Novgorod, Russians | 0.1 | 0.0007 |  | 1,510 | See |  |  |
|
743 |
B*52:01:01:02 |  | Russia Nizhny Novgorod, Russians | 3.6 | 0.0185 |  | 1,510 | See |  |  |
|
744 |
B*52:01:01:02 |  | Russia Bashkortostan, Tatars | 3.1 | 0.0156 |  | 192 | See |  |  |
|
745 |
B*52:01:02 |  | Venezuela Sierra de Perija Yucpa | | 0.1280 |  | 73 | See |  |  | |
746 |
B*52:01:02 |  | Colombia/Brazil Ticuna Arara NA-DHS_21 (G) | 21.4 (*) | 0.1071 (*) |  | 17 | See |  |  |
|
747 |
B*52:01:02 |  | Colombia/Brazil Ticuna Tarapaca NA-DHS_22 (G) | 15.8 (*) | 0.0789 (*) |  | 19 | See |  |  |
|
748 |
B*52:01:02 |  | Mexico Zapotec NA-DHS_7 (G) | 11.8 (*) | 0.0588 (*) |  | 20 | See |  |  |
|
749 |
B*52:01:02 |  | Paraguay/Argentina Guarani NA-DHS_23 (G) | 10.0 (*) | 0.0500 (*) |  | 10 | See |  |  |
|
750 |
B*52:01:02 |  | Senegal Niokholo Mandenka | | 0.0370 |  | 165 | See |  |  | |
751 |
B*52:01:02 |  | Ivory Coast Adiopodoume Akan | | 0.0340 |  | 44 | See |  |  | |
752 |
B*52:01:02 |  | Venezuela Perja Mountain Bari | | 0.0340 |  | 55 | See |  |  | |
753 |
B*52:01:02 |  | Nicaragua Mestizo (G) | 5.2 (*) | 0.0260 (*) |  | 155 | See |  |  |
|
754 |
B*52:01:02 |  | Colombia Waunana NA-DHS_20 (G) | 5.0 (*) | 0.0250 (*) |  | 20 | See |  |  |
|
755 |
B*52:01:02 |  | Mexico Mixe NA-DHS_6 (G) | 5.0 (*) | 0.0250 (*) |  | 20 | See |  |  |
|
756 |
B*52:01:02 |  | Costa Rica Guanacaste Mestizo (G) | 3.6 (*) | 0.0180 (*) |  | 110 | See |  |  |
|
757 |
B*52:01:02 |  | USA African American pop 3 | | 0.0180 |  | 564 | See |  |  | |
758 |
B*52:01:02 |  | Mexico Guadalajara Mestizo pop 2 | | 0.0150 |  | 103 | See |  |  | |
759 |
B*52:01:02 |  | Brazil Rio de Janeiro Black | | 0.0149 |  | 68 | See |  |  |
|
760 |
B*52:01:02 |  | Brazil Mixed | | 0.0140 |  | 108 | See |  |  | |
761 |
B*52:01:02 |  | China Yunnan Province Lisu | | 0.0140 |  | 111 | See |  |  | |
762 |
B*52:01:02 |  | Costa Rica Amerindians (G) | 2.4 (*) | 0.0120 (*) |  | 125 | See |  |  |
|
763 |
B*52:01:02 |  | Mexico Chihuahua Tarahumara | | 0.0110 |  | 44 | See |  |  | |
764 |
B*52:01:02 |  | Costa Rica African -Caribbean (G) | 2.0 (*) | 0.0100 (*) |  | 102 | See |  |  |
|
765 |
B*52:01:02 |  | Cape Verde Northwestern Islands | | 0.0080 |  | 62 | See |  |  | |
766 |
B*52:01:02 |  | Morocco Settat Chaouya | 1.4 | 0.0070 |  | 98 | See |  |  | |
767 |
B*52:01:02 |  | Morocco Atlantic Coast Chaouya | | 0.0070 |  | 98 | See |  |  | |
768 |
B*52:01:02 |  | USA Mexican American Mestizo | | 0.0070 |  | 553 | See |  |  | |
769 |
B*52:01:02 |  | Mexico Hidalgo Mezquital Valley/ Otomi | 1.4 | 0.0069 |  | 72 | See |  |  | |
770 |
B*52:01:02 |  | Brazil Barra Mansa Rio State Black | | 0.0068 |  | 73 | See |  |  |
|
771 |
B*52:01:02 |  | Brazil Barra Mansa Rio State Caucasian | | 0.0062 |  | 405 | See |  |  |
|
772 |
B*52:01:02 |  | Brazil Rio de Janeiro Parda | | 0.0059 |  | 170 | See |  |  |
|
773 |
B*52:01:02 |  | China Inner Mongolia Region | | 0.0050 |  | 102 | See |  |  | |
774 |
B*52:01:02 |  | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0050 |  | 146 | See |  |  | |
775 |
B*52:01:02 |  | Brazil Rio de Janeiro Caucasian | | 0.0038 |  | 521 | See |  |  |
|
776 |
B*52:01:02 |  | Russia Tuva pop 2 | | 0.0030 |  | 169 | See |  |  | |
777 |
B*52:01:02 |  | Costa Rica Central Valley Mestizo (G) | 0.4 (*) | 0.0020 (*) |  | 221 | See |  |  |
|
778 |
B*52:01:02 |  | India Kerala Malayalam speaking | 0.3 | 0.0010 |  | 356 | See |  |  |
|
779 |
B*52:01:02 |  | England Blood Donors of Mixed Ethnicity | 0.2 | 0.0010 |  | 519 | See |  |  |
|
780 |
B*52:01:02 |  | USA Arizona Gila River Pima | | 0.0002 |  | 3,000 | See |  |  | |
781 |
B*52:01:02 |  | Poland BMR | 0.0170 | 0.0000850 |  | 23,595 | See |  |  |
|
782 |
B*52:01:02 |  | Bulgaria | | 0 |  | 55 | See |  |  | |
783 |
B*52:01:02 |  | Cape Verde Southeastern Islands | | 0 |  | 62 | See |  |  | |
784 |
B*52:01:02 |  | China North Han | | 0 |  | 105 | See |  |  | |
785 |
B*52:01:02 |  | China Qinghai Province Hui | | 0 |  | 110 | See |  |  | |
786 |
B*52:01:02 |  | Czech Republic | | 0 |  | 106 | See |  |  | |
787 |
B*52:01:02 |  | Guinea Bissau | | 0 |  | 65 | See |  |  | |
788 |
B*52:01:02 |  | Morocco Nador Metalsa pop 2 | | 0 |  | 73 | See |  |  | |
789 |
B*52:01:02 |  | Philippines Ivatan | 0.0 | 0 |  | 50 | See |  |  | |
790 |
B*52:01:02 |  | South Korea pop 3 | | 0 |  | 485 | See |  |  | |
791 |
B*52:01:02 |  | Taiwan Ami | 0.0 | 0 |  | 98 | See |  |  | |
792 |
B*52:01:02 |  | Taiwan Atayal | 0.0 | 0 |  | 106 | See |  |  | |
793 |
B*52:01:02 |  | Taiwan Bunun | 0.0 | 0 |  | 101 | See |  |  | |
794 |
B*52:01:02 |  | Taiwan Hakka | 0.0 | 0 |  | 55 | See |  |  | |
795 |
B*52:01:02 |  | Taiwan Minnan pop 1 | 0.0 | 0 |  | 102 | See |  |  | |
796 |
B*52:01:02 |  | Taiwan Paiwan | 0.0 | 0 |  | 51 | See |  |  | |
797 |
B*52:01:02 |  | Taiwan Pazeh | 0.0 | 0 |  | 55 | See |  |  | |
798 |
B*52:01:02 |  | Taiwan Puyuma | 0.0 | 0 |  | 50 | See |  |  | |
799 |
B*52:01:02 |  | Taiwan Rukai | 0.0 | 0 |  | 50 | See |  |  | |
800 |
B*52:01:02 |  | Taiwan Saisiat | 0.0 | 0 |  | 51 | See |  |  | |
* Allele Frequency: Total number of copies of the allele in the population sample (Alleles / 2n) in decimal format.
: 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).
were calculated from Phenotype Frequencies assuming Hardy-Weinberg proportions.
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
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.