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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 |
601 |
B*52:01 | | Germany DKMS - Netherlands minority | | 0.0062 | | 1,374 | See | | | |
602 |
B*52:01 | | Hong Kong Chinese | 1.2 | 0.0060 | | 569 | See | | | |
603 |
B*52:01 | | Ireland South | 1.2 | 0.0060 | | 250 | See | | | |
604 |
B*52:01 | | Italy Bergamo | 1.0 | 0.0060 | | 101 | See | | | |
605 |
B*52:01 | | China Canton Han | | 0.0060 | | 264 | See | | | |
606 |
B*52:01 | | Georgia Svaneti Region Svan | | 0.0060 | | 80 | See | | | |
607 |
B*52:01 | | USA NMDP Filipino | | 0.0057 | | 50,614 | See | | | |
608 |
B*52:01 | | Switzerland Luzern | | 0.0056 | | 1,553 | See | | | |
609 |
B*52:01 | | China Guangzhou | | 0.0050 | | 102 | See | | | |
610 |
B*52:01 | | China Yunnan Province Han | | 0.0050 | | 101 | See | | | |
611 |
B*52:01 | | Peru Titikaka Lake Uro | | 0.0050 | | 105 | See | | | |
612 |
B*52:01 | | Peru Titikaka Lake Uros | | 0.0050 | | 105 | See | | |
|
613 |
B*52:01 | | Taiwan pop 3 | | 0.0050 | | 212 | See | | | |
614 |
B*52:01 | | USA North American Native | | 0.0050 | | 187 | See | | | |
615 |
B*52:01 | | Portugal Azores Terceira Island | 0.9 | 0.0044 | | 130 | See | | |
|
616 |
B*52:01 | | Azores Terceira Island | | 0.0040 | | 130 | See | | | |
617 |
B*52:01 | | Germany DKMS - United Kingdom minority | | 0.0038 | | 1,043 | See | | | |
618 |
B*52:01 | | Ireland Northern | 0.6 | 0.0030 | | 1,000 | See | | | |
619 |
B*52:01 | | Croatia | | 0.0030 | | 150 | See | | | |
620 |
B*52:01 | | Vietnam Hanoi Kinh pop 2 | | 0.0030 | | 170 | See | | | |
621 |
B*52:01 | | Switzerland Sion | | 0.0024 | | 832 | See | | | |
622 |
B*52:01 | | Rwanda | | 0.0020 | | 280 | See | | | |
623 |
B*52:01 | | Israel Ethiopia Jews | | 0.0013 | | 5,928 | See | | |
|
624 |
B*52:01 | | Brazil Vale do Ribeira Quilombos | 0.0240 | 0 | | 144 | See | | | |
625 |
B*52:01 | | China North Han | | 0 | | 105 | See | | | |
626 |
B*52:01 | | Kenya Luo | | 0 | | 265 | See | | | |
627 |
B*52:01 | | Kenya Nandi | | 0 | | 240 | See | | | |
628 |
B*52:01 | | Mexico Oaxaca Mixtec | | 0 | | 103 | See | | | |
629 |
B*52:01 | | Portugal North | | 0 | | 46 | See | | | |
630 |
B*52:01 | | Portugal South | | 0 | | 49 | See | | | |
631 |
B*52:01 | | South Africa Natal Zulu | 0.0 | 0 | | 100 | See | | | |
632 |
B*52:01 | | USA Alaska Yupik | | 0 | | 252 | See | | | |
633 |
B*52:01 | | USA Caucasian Bethesda | 0.0 | 0 | | 307 | See | | | |
634 |
B*52:01 | | Zambia Lusaka | | 0 | | 44 | See | | | |
635 |
B*52:01:01 | | China Yunnan Province Lisu | | 0.2170 | | 111 | See | | | |
636 |
B*52:01:01 | | China Yunnan Province Nu | | 0.1860 | | 107 | See | | | |
637 |
B*52:01:01 | | Bulgaria Romani | | 0.1820 | | 13 | See | | | |
638 |
B*52:01:01 | | India Andhra Pradesh Golla | | 0.1200 | | 111 | See | | | |
639 |
B*52:01:01 | | China Jingpo Minority | 23.3 | 0.1170 | | 105 | See | | |
|
640 |
B*52:01:01 | | Georgia Tibilisi Kurd | | 0.1030 | | 31 | See | | | |
641 |
B*52:01:01 | | India Andhra Pradesh Telugu Speaking | 16.1 | 0.0860 | | 186 | See | | |
|
642 |
B*52:01:01 | | South Africa Natal Tamil | | 0.0820 | | 51 | See | | | |
643 |
B*52:01:01 | | Israel Ashkenazi and Non Ashkenazi Jews | | 0.0730 | | 146 | See | | | |
644 |
B*52:01:01 | | India North pop 2 | | 0.0670 | | 72 | See | | | |
645 |
B*52:01:01 | | India New Delhi | | 0.0610 | | 71 | See | | | |
646 |
B*52:01:01 | | South African Indian population | 12.0 | 0.0600 | | 50 | See | | |
|
647 |
B*52:01:01 | | India Mumbai Maratha | | 0.0560 | | 91 | See | | | |
648 |
B*52:01:01 | | Tunisia Ghannouch | | 0.0550 | | 82 | See | | | |
649 |
B*52:01:01 | | Thailand pop 3 | | 0.0510 | | 49 | See | | | |
650 |
B*52:01:01 | | Paraguay/Argentina Guarani NA-DHS_23 (G) | 10.0 (*) | 0.0500 (*) | | 10 | See | | |
|
651 |
B*52:01:01 | | India Kerala Malayalam speaking | 9.0 | 0.0500 | | 356 | See | | |
|
652 |
B*52:01:01 | | India West Coast Parsi | | 0.0500 | | 50 | See | | | |
653 |
B*52:01:01 | | India Karnataka Kannada Speaking | 9.2 | 0.0490 | | 174 | See | | |
|
654 |
B*52:01:01 | | China Qinghai Province Hui | | 0.0410 | | 110 | See | | | |
655 |
B*52:01:01 | | China Inner Mongolia Region | | 0.0390 | | 102 | See | | | |
656 |
B*52:01:01 | | China North Han | | 0.0380 | | 105 | See | | | |
657 |
B*52:01:01 | | Bulgaria | | 0.0360 | | 55 | See | | | |
658 |
B*52:01:01 | | China Yunnan Province Wa | | 0.0340 | | 119 | See | | | |
659 |
B*52:01:01 | | Singapore Riau Malay | | 0.0300 | | 132 | See | | | |
660 |
B*52:01:01 | | Russian Federation Vologda Region | 5.0 | 0.0294 | | 119 | See | | |
|
661 |
B*52:01:01 | | China Tibet Region Tibetan | | 0.0280 | | 158 | See | | | |
662 |
B*52:01:01 | | Russia Tuva pop 2 | | 0.0280 | | 169 | See | | | |
663 |
B*52:01:01 | | Iran Baloch | | 0.0250 | | 100 | See | | | |
664 |
B*52:01:01 | | USA Hawaii Okinawa | | 0.0240 | | 106 | See | | | |
665 |
B*52:01:01 | | Nicaragua Mestizo (G) | 4.6 (*) | 0.0230 (*) | | 155 | See | | |
|
666 |
B*52:01:01 | | USA San Francisco Caucasian | | 0.0230 | | 220 | See | | | |
667 |
B*52:01:01 | | South African Mixed ancestry | 4.0 | 0.0200 | | 50 | See | | |
|
668 |
B*52:01:01 | | China Guangdong Province Meizhou Han | | 0.0200 | | 100 | See | | | |
669 |
B*52:01:01 | | Singapore Javaneses | | 0.0200 | | 51 | See | | | |
670 |
B*52:01:01 | | China Zhejiang Han | | 0.0199 | | 1,734 | See | | |
|
671 |
B*52:01:01 | | Vietnam Kinh | 4.0 | 0.0198 | | 101 | See | | |
|
672 |
B*52:01:01 | | Russia Belgorod region | 3.9 | 0.0196 | | 153 | See | | |
|
673 |
B*52:01:01 | | USA Mexican American Mestizo | | 0.0190 | | 553 | See | | |
|
674 |
B*52:01:01 | | Macedonia pop 4 | | 0.0160 | | 216 | See | | | |
675 |
B*52:01:01 | | Mexico Guadalajara Mestizo pop 2 | | 0.0150 | | 103 | See | | | |
676 |
B*52:01:01 | | Singapore Thai | | 0.0150 | | 100 | See | | | |
677 |
B*52:01:01 | | USA Italy Ancestry | | 0.0150 | | 273 | See | | | |
678 |
B*52:01:01 | | Poland BMR | 3.0 | 0.0148 | | 23,595 | See | | |
|
679 |
B*52:01:01 | | Brazil Mixed | | 0.0140 | | 108 | See | | | |
680 |
B*52:01:01 | | Indonesia Java pop 2 | | 0.0140 | | 36 | See | | | |
681 |
B*52:01:01 | | Brazil Rio de Janeiro Caucasian | | 0.0134 | | 521 | See | | |
|
682 |
B*52:01:01 | | China Guizhou Province Miao pop 2 | | 0.0120 | | 85 | See | | | |
683 |
B*52:01:01 | | USA NMDP Black South or Central American | | 0.0113 | | 4,889 | See | | | |
684 |
B*52:01:01 | | Tunisia pop 3 | | 0.0110 | | 104 | See | | | |
685 |
B*52:01:01 | | Taiwan Minnan pop 1 | 2.0 | 0.0100 | | 102 | See | | | |
686 |
B*52:01:01 | | Indonesia Sundanese and Javanese | | 0.0100 | | 201 | See | | | |
687 |
B*52:01:01 | | Israel Arab Druze | | 0.0100 | | 101 | See | | | |
688 |
B*52:01:01 | | South Africa Caucasians | | 0.0100 | | 102 | See | | | |
689 |
B*52:01:01 | | Brazil Barra Mansa Rio State Caucasian | | 0.0099 | | 405 | See | | |
|
690 |
B*52:01:01 | | England Blood Donors of Mixed Ethnicity | 1.9 | 0.0096 | | 519 | See | | |
|
691 |
B*52:01:01 | | Saudi Arabia pop 5 | 1.9 | 0.0095 | | 158 | See | | | |
692 |
B*52:01:01 | | Spain, Canary Islands, Gran canaria island | 1.9 | 0.0093 | | 215 | See | | |
|
693 |
B*52:01:01 | | Costa Rica Guanacaste Mestizo (G) | 1.8 (*) | 0.0090 (*) | | 110 | See | | |
|
694 |
B*52:01:01 | | China South Han | | 0.0090 | | 284 | See | | | |
695 |
B*52:01:01 | | China Yunnan Province Jinuo | | 0.0090 | | 109 | See | | | |
696 |
B*52:01:01 | | Brazil Rio de Janeiro Parda | | 0.0088 | | 170 | See | | |
|
697 |
B*52:01:01 | | Hong Kong Chinese HKBMDR HLA 11 loci | 1.7 | 0.0086 | | 5,266 | See | | |
|
698 |
B*52:01:01 | | Cape Verde Northwestern Islands | | 0.0080 | | 62 | See | | | |
699 |
B*52:01:01 | | Costa Rica Central Valley Mestizo (G) | 1.4 (*) | 0.0070 (*) | | 221 | See | | |
|
700 |
B*52:01:01 | | Morocco Settat Chaouya | 1.4 | 0.0070 | | 98 | 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.
Displaying 601 to 700
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