Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 79 (from 79) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:03:01-B*40:04:01-C*03:04:01-DRB1*13:01:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 2  A*24:03:01-B*52:01:01-C*07:02:01-DRB1*11:06:01  China Jingpo Minority 0.5210105
 3  A*24:03:01-B*52:01:01-DRB1*11:06:01  China Jingpo Minority 0.5210105
 4  A*24:03:01-C*07:02:01-DRB1*11:06:01  China Jingpo Minority 0.5150105
 5  A*24:03:01-B*15:12-C*07:06-DRB1*07:01:01-DQB1*05:03:01  Vietnam Kinh 0.4950101
 6  A*24:03:01-B*15:25:01-C*04:03:01-DRB1*15:02:01-DQB1*05:01:03  Vietnam Kinh 0.4950101
 7  A*24:03:01-B*52:01:01  China Jingpo Minority 0.4950105
 8  A*24:03:01-B*52:01:01-C*07:02:01  China Jingpo Minority 0.4950105
 9  A*24:03:01-B*35:43:01-C*01:02:01-DRB1*03:02:02  Costa Rica African -Caribbean (G) 0.4902102
 10  A*24:03:01-C*07:02:01  China Jingpo Minority 0.4850105
 11  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*11:04:01  Nicaragua Mestizo (G) 0.3226155
 12  A*24:03:01-B*15:17:01-C*07:01:02-DRB1*13:01:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*24:03:01-B*38:01:01-C*07:01:01-DRB1*13:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 14  A*24:03:01-B*52:01:01:02-C*12:02:02-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.2604192
 15  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*11:01-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 16  A*24:03:01-B*35:43:01-C*01:02:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.2262221
 17  A*24:03:01-B*38:01:01-C*07:01:01-DRB1*13:05:01-DQB1*05:02:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 18  A*24:03:01-B*40:02:01-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.1946521
 19  A*24:03:01-B*40:02:01-C*14:02:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 20  A*24:03:01-B*40:06:01-C*06:02:01-DRB1*15:02:02-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 21  A*24:03:01-B*52:01:01-C*12:02:02  England Blood Donors of Mixed Ethnicity 0.0963519
 22  A*24:03:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DQB1*03:01:01  China Zhejiang Han 0.08831,734
 23  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*04:07-DQB1*03:02  Costa Rica Central Valley Mestizo (G) 0.0763221
 24  A*24:03:01-B*07:02:01-C*07:02:01:03-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06621,510
 25  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*04:07-DQB1*02:01  Costa Rica Central Valley Mestizo (G) 0.0518221
 26  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*04:07-DQB1*06:03  Costa Rica Central Valley Mestizo (G) 0.0518221
 27  A*24:03:01-B*15:12:01-C*03:03:01-DRB1*12:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.04715,266
 28  A*24:03:01-B*07:02:01-C*07:02:01:03-DRB1*15:02-DQB1*06:01  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*24:03:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*24:03:01-B*35:02:01-C*07:02:01:03-DRB1*04:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*24:03:01-B*15:12:01-C*03:03:01-DRB1*16:02:01-DQB1*05:02:01  China Zhejiang Han 0.02881,734
 32  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*04:07-DQB1*03:01  Costa Rica Central Valley Mestizo (G) 0.0273221
 33  A*24:03:01-B*15:58-C*01:02:01-DRB1*14:54:01-DQB1*05:02:01  China Zhejiang Han 0.02701,734
 34  A*24:03:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.019523,595
 35  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*04:07-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.0191221
 36  A*24:03:01-B*15:02:01-C*08:01:01-DRB1*12:02:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01575,266
 37  A*24:03:01-B*46:01:01-C*01:02:01-DRB1*14:54:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01495,266
 38  A*24:03:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.010623,595
 39  A*24:03:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00925,266
 40  A*24:03:01-B*15:12:01-C*03:03:01-DRB1*16:02:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00875,266
 41  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.008523,595
 42  A*24:03:01-B*46:01:01-C*01:02:01-DRB1*14:54:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00835,266
 43  A*24:03:01-B*50:01:01-C*15:04:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.006423,595
 44  A*24:03:01-B*51:01:01-C*07:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.006423,595
 45  A*24:03:01-B*18:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.004223,595
 46  A*24:03:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*06:02:01  Poland BMR 0.004223,595
 47  A*24:03:01-B*35:08:01-C*04:01:01-DRB1*16:02:01-DQB1*05:02:01  Poland BMR 0.004223,595
 48  A*24:03:01-B*51:01:01-C*15:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 49  A*24:03:01-B*35:01:01-C*04:01:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.004223,595
 50  A*24:03:01-B*18:03-C*07:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.003223,595
 51  A*24:03:01-B*49:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002323,595
 52  A*24:03:01-B*07:02:01-C*07:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 53  A*24:03:01-B*14:02:01-C*08:02:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 54  A*24:03:01-B*14:02:01-C*08:02:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 55  A*24:03:01-B*18:01:01-C*12:03:01-DRB1*11:04:01-DQB1*06:04:01  Poland BMR 0.002123,595
 56  A*24:03:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*02:02:01  Poland BMR 0.002123,595
 57  A*24:03:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*05:02:01  Poland BMR 0.002123,595
 58  A*24:03:01-B*18:03-C*07:01:01-DRB1*11:04:01-DQB1*06:02:01  Poland BMR 0.002123,595
 59  A*24:03:01-B*35:01:01-C*04:01:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 60  A*24:03:01-B*35:02:01-C*04:01:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 61  A*24:03:01-B*35:02:01-C*04:01:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 62  A*24:03:01-B*35:08:01-C*04:01:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 63  A*24:03:01-B*37:01:01-C*06:02:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 64  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*04:02:01-DQB1*03:02:01  Poland BMR 0.002123,595
 65  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*04:03:01-DQB1*03:02:01  Poland BMR 0.002123,595
 66  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*11:01:01-DQB1*05:02:01  Poland BMR 0.002123,595
 67  A*24:03:01-B*38:01:01-C*12:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 68  A*24:03:01-B*40:01:02-C*03:04:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 69  A*24:03:01-B*44:03:01-C*04:01:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.002123,595
 70  A*24:03:01-B*47:01:01-C*06:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 71  A*24:03:01-B*51:01:01-C*15:04:01-DRB1*03:02:01-DQB1*04:02:01  Poland BMR 0.002123,595
 72  A*24:03:01-B*51:01:01-C*15:04:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.002123,595
 73  A*24:03:01-B*51:01:01-C*15:04:01-DRB1*11:04:01-DQB1*05:02:01  Poland BMR 0.002123,595
 74  A*24:03:01-B*51:01:01-C*16:02:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.002123,595
 75  A*24:03:01-B*52:01:01-C*12:02:02-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 76  A*24:03:01-B*52:01:02-C*15:04:01-DRB1*04:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 77  A*24:03:01-B*56:01:01-C*01:02:01-DRB1*15:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 78  A*24:03:01-B*49:01:01-C*07:01:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.001923,595
 79  A*24:03:01-B*51:01:01-C*15:02:01-DRB1*12:01:01-DQB1*03:01:01  Poland BMR 0.001723,595

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).




   

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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