Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 83 (from 83) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*30:02:01-B*37:01:01-C*07:01:01-DRB1*10:01:01-DQB1*06:04:01-DPA1*02:01:08-DPB1*01:01:01  Brazil Rio de Janeiro Black 1.470668
 2  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 1.1490174
 3  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 4  A*01:01:01-B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 5  B*37:01:01-C*06:02:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 6  B*37:01:01-DRB1*10:01:01  China Jingpo Minority 1.0420105
 7  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.9490356
 8  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.8065186
 9  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.5960356
 10  A*02:11:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 11  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Tatars 0.5208192
 12  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Guanacaste Mestizo (G) 0.4545110
 13  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4210356
 14  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4210356
 15  A*31:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQA1*03:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 16  A*31:01:02:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 17  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01  Costa Rica Amerindians (G) 0.4032125
 18  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 19  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 20  A*11:01:01-B*37:01:01-C*03:04:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 21  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.2688186
 22  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.2262221
 23  A*68:01-B*37:01:01-C*06:02-DRB1*10:01:01-DQB1*05:01:01  England North West 0.2000298
 24  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 25  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Caucasian 0.1946521
 26  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 27  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.17301,734
 28  A*02:03:01-B*37:01:01-C*15:02:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 29  A*11:01:01-B*37:01:01-C*03:03:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 30  A*32:01:01-B*37:01:01-C*05:01:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 31  A*33:03:01-B*37:01:01-C*07:02:01-DRB1*10:01:01-DQB1*06:01:01  India Kerala Malayalam speaking 0.1400356
 32  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.10951,734
 33  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.10725,266
 34  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.09931,510
 35  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*03:01:01  Saudi Arabia pop 6 (G) 0.096028,927
 36  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.09385,266
 37  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.089723,595
 38  A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.08091,734
 39  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.06911,734
 40  A*03:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.06621,510
 41  A*02:06:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.05771,734
 42  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03355,266
 43  A*11:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 44  A*24:02:01:01-B*37:01:01-C*08:02:01:02-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 45  A*68:02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 46  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.03095,266
 47  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  China Zhejiang Han 0.02881,734
 48  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.019323,595
 49  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*10:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 50  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*45:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01905,266
 51  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01865,266
 52  A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.014323,595
 53  A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01295,266
 54  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.012723,595
 55  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:01:01  Poland BMR 0.012623,595
 56  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01185,266
 57  A*11:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*04:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00945,266
 58  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:02:01  Poland BMR 0.009323,595
 59  A*11:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*45:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00915,266
 60  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00705,266
 61  A*26:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00655,266
 62  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:02:01  Poland BMR 0.006423,595
 63  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DPB1*19:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00565,266
 64  A*03:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.005123,595
 65  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:01:01  Poland BMR 0.004323,595
 66  A*02:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*02:02:01  Poland BMR 0.004223,595
 67  A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.004223,595
 68  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.003723,595
 69  A*24:02:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.003423,595
 70  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*02:02:01  Poland BMR 0.002123,595
 71  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 72  A*01:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*06:04:01  Poland BMR 0.002123,595
 73  A*01:01:01-B*37:01:01-C*06:70:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 74  A*02:01:01-B*37:01:01-C*03:04:01-DRB1*10:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 75  A*24:02:01-B*37:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 76  A*33:03:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 77  A*68:01:02-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 78  A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*02:01:01  Poland BMR 0.002123,595
 79  A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*06:02:01  Poland BMR 0.002123,595
 80  A*68:01:02-B*37:01:01-C*07:04:01-DRB1*10:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 81  A*32:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.001723,595
 82  A*25:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*03:03:02  Poland BMR 0.001323,595
 83  A*25:01:01-B*37:01:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  Poland BMR 0.000539423,595

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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