Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 86 (from 86) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*02:01  USA San Diego 0.7810496
 2  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP European Caucasian 0.76601,242,890
 3  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  USA NMDP American Indian South or Central America 0.69025,926
 4  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:03:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 5  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP North American Amerindian 0.621035,791
 6  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.51493,456,066
 7  A*02:01-B*40:01-C*03:04-DRB1*13:02:01-DQB1*06:04  England North West 0.5000298
 8  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.449623,595
 9  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01  Nicaragua Managua 0.4329339
 10  A*02:01:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.42721,510
 11  A*68:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQA1*01:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01  Russian Federation Vologda Region 0.4202119
 12  A*23:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.3891521
 13  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Italy minority 0.38801,159
 14  A*68:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Russia Karelia 0.33871,075
 15  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Barra Mansa Rio State Caucasian 0.3125405
 16  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 17  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*03:01  South Africa Worcester 0.3000159
 18  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  South Africa Worcester 0.3000159
 19  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.27151,075
 20  A*30:02-B*40:01-C*03:04-DRB1*13:02-DQA1*01:02-DQB1*06:04-DPB1*04:01  USA San Diego 0.2600496
 21  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.23243,456,066
 22  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Middle Eastern or North Coast of Africa 0.228370,890
 23  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.21802,411
 24  A*24:02-B*40:01-C*03:04-DRB1*13:02:01-DQB1*06:04  England North West 0.2000298
 25  A*02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Mexican or Chicano 0.1530261,235
 27  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Hispanic South or Central American 0.1286146,714
 28  A*32:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Russia Karelia 0.11921,075
 29  A*11:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Russia Karelia 0.10991,075
 30  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African American pop 2 0.1094416,581
 31  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Hispanic 0.1082115,374
 32  A*26:01:01-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.10261,510
 33  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.09423,456,066
 34  A*01:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.09401,999
 35  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Caribean Black 0.086233,328
 36  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP African 0.070528,557
 37  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Colombia Bogotá Cord Blood 0.06841,463
 38  A*24:02:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.063323,595
 39  A*26:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Russia Karelia 0.05641,075
 40  A*68:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.051223,595
 41  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:02  Germany DKMS - German donors 0.04833,456,066
 42  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  USA Hispanic pop 2 0.04701,999
 43  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Japanese 0.045924,582
 44  A*01:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  USA African American pop 4 0.04402,411
 45  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.04373,456,066
 46  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*05:01  Germany DKMS - German donors 0.04133,456,066
 47  A*68:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.03623,456,066
 48  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.035623,595
 49  A*68:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.03453,456,066
 50  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 51  A*02:05-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 52  A*24:02:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 53  A*68:01:01:02-B*40:01:02-C*03:04:01:01-DRB1*13:02:01-DQB1*06:04:01  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.03104,856
 55  A*68:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.03053,456,066
 56  A*24:02-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.02993,456,066
 57  A*68:01:02-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.028523,595
 58  A*01:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.02783,456,066
 59  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Filipino 0.025550,614
 60  A*11:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.025023,595
 61  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.02263,456,066
 62  A*02:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*01:01  Germany DKMS - German donors 0.02073,456,066
 63  A*24:02-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.01883,456,066
 64  A*03:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01753,456,066
 65  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Korean 0.017577,584
 66  A*01:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*04:01  Germany DKMS - German donors 0.01703,456,066
 67  A*11:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.01393,456,066
 68  A*01:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.012723,595
 69  A*68:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01204,856
 70  A*01:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*02:01  Germany DKMS - German donors 0.01133,456,066
 71  A*26:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01104,856
 72  A*31:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04-DPB1*03:01  Germany DKMS - German donors 0.01053,456,066
 73  A*25:01-B*40:01-C*03:04-DRB1*13:02-DQB1*06:04  Germany DKMS - Turkey minority 0.01004,856
 74  A*31:01:02-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.009623,595
 75  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Chinese 0.005999,672
 76  A*25:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.003723,595
 77  A*68:02:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.003223,595
 78  A*30:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002723,595
 79  A*32:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002623,595
 80  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP South Asian Indian 0.0025185,391
 81  A*23:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002223,595
 82  A*02:17:02-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 83  A*29:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002123,595
 84  A*26:01:01-B*40:01:02-C*03:04:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.002023,595
 85  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Southeast Asian 0.000012027,978
 86  A*02:01-B*40:01-C*03:04-DRB1*13:02-DRB3*03:01-DQB1*06:04  USA NMDP Vietnamese 0.000003043,540

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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