Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 92 (from 92) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Yazd 5.357156
 2  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Kurd pop 2 1.700060
 3  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Saqqez-Baneh Kurds 1.666760
 4  A*02-B*50:01-DRB1*07:01-DQB1*02:01  Tunisia pop 3 1.2000104
 5  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Tabriz Azeris 1.030997
 6  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.8135570
 7  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.807228,927
 8  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.73304,856
 9  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 0.616970,890
 10  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.599428,927
 11  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*14:01:01  Saudi Arabia pop 6 (G) 0.527428,927
 12  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.515428,927
 13  A*02:05-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.5000298
 14  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*04:01  United Arab Emirates Pop 1 0.4673570
 15  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.46301,159
 16  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.41011,463
 17  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.4022185,391
 18  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.3738570
 19  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*04:01:01  Saudi Arabia pop 6 (G) 0.359228,927
 20  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.346428,927
 21  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.345927,978
 22  A*02:01-B*50:01-C*06:02-DRB1*07:01:01-DQB1*02:01  England North West 0.3000298
 23  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP European Caucasian 0.28841,242,890
 24  A*02:08-B*50:01:01-C*06:02:01:01-DRB1*07:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 25  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP American Indian South or Central America 0.20675,926
 26  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 0.1946146,714
 27  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 0.1843261,235
 28  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 0.17041,376
 29  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP North American Amerindian 0.163535,791
 30  A*02:01:01-B*50:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:01:01-DPB1*02:01:02  Saudi Arabia pop 6 (G) 0.159128,927
 31  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.15104,856
 32  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*03:01  United Arab Emirates Pop 1 0.1402570
 33  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.14001,999
 34  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.13252,492
 35  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.12821,463
 36  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA NMDP Black South or Central American 0.11554,889
 37  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*02:01  United Arab Emirates Pop 1 0.1145570
 38  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.11141,075
 39  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African 0.101028,557
 40  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*03:01  United Arab Emirates Pop 1 0.1000570
 41  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 0.0939115,374
 42  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.08603,456,066
 43  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Italy minority 0.08601,159
 44  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Chinese 0.085999,672
 45  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.07313,456,066
 46  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Vietnamese 0.070143,540
 47  A*02:01-B*50:01-C*01:02-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.06841,463
 48  A*02:07-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*09:01  Russia Karelia 0.05651,075
 49  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Korean 0.052877,584
 50  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  USA Hispanic pop 2 0.04701,999
 51  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*01:03-DPB1*16:01  United Arab Emirates Pop 1 0.0467570
 52  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*17:01  United Arab Emirates Pop 1 0.0467570
 53  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:01-DPA1*02:01-DPB1*55:01  United Arab Emirates Pop 1 0.0467570
 54  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP African American pop 2 0.0419416,581
 55  A*02:08-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.04004,856
 56  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.03733,456,066
 57  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Caribean Black 0.034533,328
 58  A*02:01-B*50:01-C*04:01-DRB1*07:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 59  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 0.03263,456,066
 60  A*02:06-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02212,492
 61  A*02:11-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02212,492
 62  A*02:16-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.02212,492
 63  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Japanese 0.018324,582
 64  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.01812,492
 65  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.01543,456,066
 66  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.01483,456,066
 67  A*02:05-B*50:01-C*06:02-DRB1*07:01-DRB4*01:01-DQB1*02:01  USA NMDP Filipino 0.014250,614
 68  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01313,456,066
 69  A*02:27-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.01063,456,066
 70  A*02:11-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 71  A*02:20-B*50:01-C*06:02-DRB1*07:01-DQB1*02:01  Germany DKMS - Turkey minority 0.01004,856
 72  A*02:01-B*50:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 73  A*02:01-B*50:01-C*15:05-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 74  A*02:01-B*50:01-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 75  A*02:03-B*50:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 76  A*02:03-B*50:01-C*15:05-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 77  A*02:03-B*50:01-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 78  A*02:05-B*50:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 79  A*02:05-B*50:01-C*15:05-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 80  A*02:05-B*50:01-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 81  A*02:06-B*50:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 82  A*02:06-B*50:01-C*15:05-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 83  A*02:06-B*50:01-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 84  A*02:11-B*50:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 85  A*02:11-B*50:01-C*15:05-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 86  A*02:11-B*50:01-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 87  A*02:16-B*50:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 88  A*02:16-B*50:01-C*15:05-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 89  A*02:16-B*50:01-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 90  A*02:35-B*50:01-C*15:02-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 91  A*02:35-B*50:01-C*15:05-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492
 92  A*02:35-B*50:01-C*15:07-DRB1*07:01-DQB1*02:01  India Tamil Nadu 0.00095602,492

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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