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