Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 283) records   Pages: 1 2 3 of 3  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 0.4167120
 2  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 3.3854192
 3  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 4.26801,510
 4  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Russia Bashkortostan, Bashkirs 2.0833120
 5  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01  Russian Federation Vologda Region 0.4202119
 6  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 7  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.6536153
 8  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*23:01:01  Russian Federation Vologda Region 0.4202119
 9  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*01:01:01  Russian Federation Vologda Region 0.4202119
 10  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.07821,510
 11  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 5.872923,595
 12  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 13  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 1.3618521
 15  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 1.1674521
 16  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 1.5625405
 17  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 18  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*16:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Rio de Janeiro Parda 0.5882170
 20  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 21  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQA1*05:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*01:01  Russian Federation Vologda Region 0.4202119
 22  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.9050221
 23  A*01:01:01-B*08:01:02-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006423,595
 24  A*01:01:01-B*08:01:04-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.007123,595
 25  A*01:01-B*08:01-C*07:01-DRB1*03:01:01-DQB1*02:01  England North West 9.5000298
 26  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Brazil Puyanawa 0.3333150
 27  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01  Kosovo 2.4190124
 28  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  South Africa Worcester 1.0000159
 29  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*01:01  USA San Diego 1.0420496
 30  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Diego 2.3440496
 31  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:02  USA San Diego 0.2600496
 32  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.99581,463
 33  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Turkey minority 0.94604,856
 34  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Germany DKMS - Italy minority 2.96901,159
 35  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India Tamil Nadu 0.02012,492
 36  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India West UCBB 0.00865,829
 37  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  India North UCBB 0.01715,849
 38  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Ireland South 11.5000250
 39  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 4.6500975
 40  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 3.8462143
 41  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Poland 4.0000200
 42  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 2.15504,335
 43  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Hawaiian or other Pacific Islander 1.004611,499
 44  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Caribean Indian 1.266914,339
 45  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 4.34585,926
 46  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA African American pop 4 1.39102,411
 47  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Asian pop 2 0.08901,772
 48  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA Hispanic pop 2 1.78401,999
 49  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 4.10001,376
 50  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Black South or Central American 1.05454,889
 51  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Germany DKMS - German donors 1.99493,456,066
 52  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Ireland South 1.4000250
 53  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*01:01  Russia Karelia 2.12681,075
 54  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Germany DKMS - German donors 0.41153,456,066
 55  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*02:01  Russia Karelia 0.28861,075
 56  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Germany DKMS - German donors 0.45243,456,066
 57  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*03:01  Russia Karelia 0.13151,075
 58  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Germany DKMS - German donors 1.96533,456,066
 59  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Ireland South 8.3000250
 60  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:01  Russia Karelia 1.81111,075
 61  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Germany DKMS - German donors 0.48783,456,066
 62  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*04:02  Russia Karelia 0.08141,075
 63  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*05:01  Germany DKMS - German donors 0.04463,456,066
 64  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*06:01  Germany DKMS - German donors 0.02343,456,066
 65  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Germany DKMS - German donors 0.14093,456,066
 66  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*09:01  Russia Karelia 0.05651,075
 67  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*10:01  Germany DKMS - German donors 0.04023,456,066
 68  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*11:01  Germany DKMS - German donors 0.01373,456,066
 69  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*13:01  Germany DKMS - German donors 0.02603,456,066
 70  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*14:01  Germany DKMS - German donors 0.02023,456,066
 71  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*15:01  Germany DKMS - German donors 0.01713,456,066
 72  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*16:01  Germany DKMS - German donors 0.04693,456,066
 73  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*17:01  Germany DKMS - German donors 0.02163,456,066
 74  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*19:01  Germany DKMS - German donors 0.01903,456,066
 75  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01  Germany DKMS - German donors 0.02693,456,066
 76  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*20:01  Russia Karelia 0.05651,075
 77  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01-DPB1*23:01  Germany DKMS - German donors 0.01073,456,066
 78  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African 0.644828,557
 79  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP African American pop 2 1.1238416,581
 80  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Hispanic South or Central American 1.5860146,714
 81  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Filipino 0.260750,614
 82  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP European Caucasian 6.52581,242,890
 83  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Black 0.748133,328
 84  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Mexican or Chicano 1.8200261,235
 85  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 4.576235,791
 86  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Southeast Asian 0.008027,978
 87  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Japanese 0.245224,582
 88  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Korean 0.069477,584
 89  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP South Asian Indian 0.0003620185,391
 90  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Caribean Hispanic 1.6528115,374
 91  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Chinese 0.015499,672
 92  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Middle Eastern or North Coast of Africa 2.194370,890
 93  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP Vietnamese 0.049343,540
 94  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01:01-DQB1*02:01:01  Russia Bashkortostan, Tatars 0.2604192
 95  A*02:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.55551,510
 96  A*02:01:01:01-B*08:01:01-C*07:01:08-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 97  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.502623,595
 98  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Spain, Canary Islands, Gran canaria island 2.7900215
 99  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 100  A*02:01:01-B*08:01:01-C*07:01:01-DRB1*03:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.6787221

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).


Displaying 1 to 100 (from 283) records   Pages: 1 2 3 of 3  


   

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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