Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 137) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*66:01:01-B*58:02:01-C*06:02:01-DRB1*08:07-DQB1*03:03:02-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*66:01:01-B*35:03:01-C*04:01:01-DRB1*13:03:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Black 1.470668
 3  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:04:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 4  A*66:01:01-B*48:01:01-C*08:01:01-DRB1*04:04:01-DQB1*03:02:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 5  A*66:01:01-B*41:02:01-C*12:03:01-DRB1*13:03:01  Costa Rica African -Caribbean (G) 0.4902102
 6  A*66:01:01-B*57:04-C*18:01-DRB1*16:02:01  Costa Rica African -Caribbean (G) 0.4902102
 7  A*66:01:01-B*41:02:01-C*17:01-DRB1*13:03:02-DQB1*03:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 8  A*66:01:01-B*18:01:01-C*02:10-DRB1*13:03:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 9  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 10  A*66:01:01-B*56:01:01-C*01:02:01-DRB1*11:04:01-DQA1*03:03:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*02:01:02  Russian Federation Vologda Region 0.4202119
 11  A*66:01:01-B*48:01:01-C*04:01:01-DRB1*13:02:01  Costa Rica Amerindians (G) 0.4032125
 12  A*66:01:01-B*15:03:01-C*02:10:01-DRB1*08:04:01-DQB1*05:01:01-DPB1*665:01  South African Black 0.3520142
 13  A*66:01:01-B*39:10:01-C*12:03:01-DRB1*04:10:01-DQB1*03:03:02-DPB1*01:01:01  South African Black 0.3520142
 14  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*08:01:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*104:01:01  Russia Belgorod region 0.3268153
 15  A*66:01:01-B*41:02:01-C*17:03:01-DRB1*13:03:01-DQA1*05:05:01-DQB1*03:01-DPA1*01:03:01-DPB1*06:01  Russia Belgorod region 0.3268153
 16  A*66:01:01-B*44:03:01-C*04:01:01-DRB1*14:01  Nicaragua Mestizo (G) 0.3226155
 17  A*66:01:01-B*58:02-C*06:02:01-DRB1*08:02:01  Nicaragua Mestizo (G) 0.3226155
 18  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01:01  Poland BMR 0.321923,595
 19  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.23181,510
 20  A*66:01:01-B*50:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.2300215
 21  A*66:01:01-B*51:01:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01  Spain, Canary Islands, Gran canaria island 0.2300215
 22  A*66:01:01-B*07:02:01-C*15:05:02-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:19  Brazil Rio de Janeiro Caucasian 0.1946521
 23  A*66:01:01-B*07:06:01-C*06:02:01-DRB1*04:05:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*124:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 24  A*66:01:01-B*15:220:01-C*12:03:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 25  A*66:01:01-B*49:01:01-C*12:03:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*131:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*66:01:01-B*51:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*66:01:01-B*53:01:01-C*06:02:01-DRB1*16:02:01-DQB1*02:02:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 28  A*66:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.13251,510
 29  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*07:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.1053221
 30  A*66:01:01-B*39:01:01-C*07:02:01  England Blood Donors of Mixed Ethnicity 0.0963519
 31  A*66:01:01-B*41:02:01-C*17:03  England Blood Donors of Mixed Ethnicity 0.0963519
 32  A*66:01:01-B*44:05:01-C*02:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 33  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*07:01-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.0936221
 34  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*06:04  Costa Rica Central Valley Mestizo (G) 0.0754221
 35  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0704221
 36  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0553221
 37  A*66:01:01-B*50:01:01-C*06:02:01:02-DRB1*13:03-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 38  A*66:01:01-B*50:01:01-C*07:06-DRB1*12:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 39  A*66:01:01-B*51:01:01-C*15:02:01:01-DRB1*11:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 40  A*66:01:01-B*41:02:01-C*17:01:01-DRB1*07:01-DQB1*03:03  Costa Rica Central Valley Mestizo (G) 0.0273221
 41  A*66:01:01-B*58:02-C*06:02:01-DRB1*13:01-DQB1*05:02  Costa Rica Central Valley Mestizo (G) 0.0226221
 42  A*66:01:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.015323,595
 43  A*66:01:01-B*41:02:01-C*17:03-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.014923,595
 44  A*66:01:01-B*41:01:01-C*17:38-DRB1*04:05:01-DQB1*02:02:01  Poland BMR 0.014423,595
 45  A*66:01:01-B*41:02:01-C*17:03-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.014223,595
 46  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:01:01  Poland BMR 0.012723,595
 47  A*66:01:01-B*41:02:01-C*17:03-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.011623,595
 48  A*66:01:01-B*49:01:01-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.010723,595
 49  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*02:02:01  Poland BMR 0.010623,595
 50  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:02:01  Poland BMR 0.010623,595
 51  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*06:03:01  Poland BMR 0.010623,595
 52  A*66:01:01-B*41:02:01-C*17:03-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.009723,595
 53  A*66:01:01-B*58:01:01-C*03:02:02-DRB1*13:12:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 54  A*66:01:01-B*18:01:01-C*07:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.006423,595
 55  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*04:02:01  Poland BMR 0.006423,595
 56  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*05:03:01  Poland BMR 0.006423,595
 57  A*66:01:01-B*18:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.006223,595
 58  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.005623,595
 59  A*66:01:01-B*41:02:01-C*17:03-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.005423,595
 60  A*66:01:01-B*49:01:01-C*07:01:01-DRB1*04:06:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.00525,266
 61  A*66:01:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.005123,595
 62  A*66:01:01-B*27:02:01-C*02:02:02-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.004323,595
 63  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*05:01:01  Poland BMR 0.004323,595
 64  A*66:01:01-B*41:01:01-C*17:01:01-DRB1*04:05:01-DQB1*02:02:01  Poland BMR 0.004223,595
 65  A*66:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*06:03:01  Poland BMR 0.004223,595
 66  A*66:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 67  A*66:01:01-B*14:02:01-C*08:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 68  A*66:01:01-B*41:02:01-C*17:03-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.003623,595
 69  A*66:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.003523,595
 70  A*66:01:01-B*35:03:01-C*04:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002423,595
 71  A*66:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002323,595
 72  A*66:01:01-B*40:01:02-C*03:04:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002323,595
 73  A*66:01:01-B*41:02:01-C*17:03-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002323,595
 74  A*66:01:01-B*08:01:01-C*07:01:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002223,595
 75  A*66:01:01-B*41:02:01-C*17:03-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002223,595
 76  A*66:01:01-B*35:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002223,595
 77  A*66:01:01-B*38:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002223,595
 78  A*66:01:01-B*44:02:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002223,595
 79  A*66:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002223,595
 80  A*66:01:01-B*57:01:01-C*06:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 81  A*66:01:01-B*40:02:01-C*02:02:02-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 82  A*66:01:01-B*41:02:01-C*17:03-DRB1*13:03:01-DQB1*05:02:01  Poland BMR 0.002123,595
 83  A*66:01:01-B*58:01:01-C*03:02:02-DRB1*13:02:01-DQB1*06:09:01  Poland BMR 0.002123,595
 84  A*66:01:01-B*38:01:01-C*12:03:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 85  A*66:01:01-B*41:02:01-C*17:03-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 86  A*66:01:01-B*07:05:01-C*15:05:02-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 87  A*66:01:01-B*08:01:01-C*07:01:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.002123,595
 88  A*66:01:01-B*13:02:01-C*02:02:02-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 89  A*66:01:01-B*14:01:01-C*08:02:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.002123,595
 90  A*66:01:01-B*14:02:01-C*05:01:01-DRB1*01:02:01-DQB1*05:01:01  Poland BMR 0.002123,595
 91  A*66:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*06:02:01  Poland BMR 0.002123,595
 92  A*66:01:01-B*15:01:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 93  A*66:01:01-B*18:01:01-C*05:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 94  A*66:01:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*02:01:01  Poland BMR 0.002123,595
 95  A*66:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 96  A*66:01:01-B*35:01:01-C*02:02:02-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 97  A*66:01:01-B*35:03:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 98  A*66:01:01-B*37:01:01-C*06:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 99  A*66:01:01-B*39:01:01-C*12:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 100  A*66:01:01-B*40:01:02-C*03:04:01-DRB1*01:01:01-DQB1*04:02:01  Poland BMR 0.002123,595

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 137) records   Pages: 1 2 of 2  


   

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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