Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

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Displaying 1 to 100 (from 1,141) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*01:01-DQB1*05:01:01  China Yunnan Province Lahu 7.100070
 2  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 4.761973
 3  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 4.4550101
 4  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 2.941268
 5  DRB1*12:02:01-DQB1*05:01:01  China Yunnan Province Lahu 2.700070
 6  DRB1*15:01:01-DQB1*05:01:01  China Yunnan Province Lahu 2.700070
 7  A*01:01:01-B*44:03:02-C*07:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Black 2.381073
 8  A*02:01:01-B*53:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:08-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 9  A*02:01:01-B*81:01:01-C*08:04:01-DRB1*11:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*01:01:01  Brazil Barra Mansa Rio State Black 2.381073
 10  A*11:01:01-B*13:02:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 11  A*11:01:01-B*55:01:01-C*03:03:01-DRB1*04:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*10:01:01  Brazil Barra Mansa Rio State Black 2.381073
 12  A*29:11-B*13:02:01-C*08:02:01-DRB1*11:01:02-DQB1*05:01:01-DPA1*03:01:01-DPB1*105:01:01  Brazil Barra Mansa Rio State Black 2.381073
 13  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 1.8600215
 14  DRB1*15:02:01-DQB1*05:01:01  China Yunnan Province Lahu 1.800070
 15  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Parda 1.7647170
 16  A*02:03:01-B*40-C*01:02:01-DRB1*15:02:01-DQB1*05:01:01-DPB1*13:01  China Yunnan Province Lisu 1.7000111
 17  A*24-B*15:25-C*04:03-DRB1*15:02:01-DQB1*05:01:01-DPB1*13:01  China Yunnan Province Nu 1.7000107
 18  DRB1*01:01:01-DQB1*05:01:01  India Mumbai Maratha 1.550091
 19  DRB1*10:01:01-DQB1*05:01:01  India Mumbai Maratha 1.550091
 20  A*02:01:01-B*44:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 21  A*02:01:01-B*53:01:01-C*06:02:01-DRB1*13:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Black 1.470668
 22  A*03:01:01-B*51:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Black 1.470668
 23  A*11:01:01-B*07:02:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Black 1.470668
 24  A*23:01:01-B*58:01:01-C*07:18:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Black 1.470668
 25  A*24:02:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Rio de Janeiro Black 1.470668
 26  A*24:02:01-B*39:01:01-C*05:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Black 1.470668
 27  A*31:01:02-B*39:03:01-C*18:02:01-DRB1*13:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*14:01:01  Brazil Rio de Janeiro Black 1.470668
 28  A*36:01-B*53:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:02:02-DPB1*02:01:19  Brazil Rio de Janeiro Black 1.470668
 29  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPB1*18:01  South African Black 1.4080142
 30  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1790356
 31  A*02:01:01-B*39:01:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:06-DPB1*05:01:01  Brazil Rio de Janeiro Parda 1.1765170
 32  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 1.1765170
 33  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
 34  A*31:01:02-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 1.1240356
 35  A*29:11-B*13:02:01-C*06:02:01-DRB1*12:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 1.0560142
 36  A*02:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 1.0000298
 37  A*02:01-B*44:02-C*05:01-DRB1*01:01:01-DQB1*05:01:01  England North West 1.0000298
 38  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 39  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.9900101
 40  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
 41  A*33:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.9375405
 42  A*02:01:01-B*44:03:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 43  A*11:01:01-B*56:01:01-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.9300215
 44  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 45  A*33:03:01-B*44:03:02-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.8620174
 46  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.8333120
 47  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
 48  A*24:02:01-B*51:01:01-C*16:02:01-DRB1*01:01:01-DQB1*05:01:01  India Karnataka Kannada Speaking 0.7760174
 49  A*30:02:01-B*45:01:01-C*16:01:01-DRB1*11:01:02-DQB1*05:01:01-DPB1*01:01:01  South African Black 0.7040142
 50  A*68:01:01-B*58:02:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPB1*105:01:01  South African Black 0.7040142
 51  A*29:01:01-B*07:05:01-C*15:05:01-DRB1*10:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.7020356
 52  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.7000215
 53  A*24:02-B*08:01-C*07:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.7000298
 54  A*01:01:01-B*51:01:01-C*06:02:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 55  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 56  A*02:01:01-B*40:02:01-C*03:02:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 57  A*24:02:01-B*44:02:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 58  A*24:02:01-B*48:01:01-C*08:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 59  A*31:01:02-B*15:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 60  A*31:01:02-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 61  A*33:01:01-B*14:02:01-C*08:01:01-DRB1*01:02:01-DQB1*05:01:01  Mexico Hidalgo Mezquital Valley/ Otomi 0.694472
 62  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.673223,595
 63  A*02:01:01-B*14:02:01-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 64  A*02:01:01-B*27:05:02-C*01:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 65  A*03:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 66  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:03:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 67  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*17:01:01  Brazil Barra Mansa Rio State Caucasian 0.6250405
 68  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
 69  A*03:01:01-B*14:03-C*08:02:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 70  A*03:01:01-B*40:01:02-C*03:04:01-DRB1*04:05:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 71  A*11:01:01-B*35:01:01-C*12:03:01-DRB1*04:11:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 72  A*23:01:01-B*44:03:01-C*06:02:01-DRB1*07:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*11:01:01  Brazil Rio de Janeiro Parda 0.5882170
 73  A*29:02:01-B*35:01:01-C*16:01:01-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Parda 0.5882170
 74  A*29:02:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*03:01:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 75  A*29:02:01-B*53:01:01-C*04:01:01-DRB1*04:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 76  A*31:01:02-B*58:02:01-C*06:02:01-DRB1*11:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Parda 0.5882170
 77  A*33:01:01-B*27:05:02-C*02:02:02-DRB1*01:01:01-DQB1*05:01:01-DPA1*02:01:02-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 78  A*36:01-B*14:01:01-C*08:02:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*02:01:02  Brazil Rio de Janeiro Parda 0.5882170
 79  A*68:02:01-B*53:01:01-C*02:02:02-DRB1*03:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*01:01:01  Brazil Rio de Janeiro Parda 0.5882170
 80  A*23:01:01-B*49:01:01-C*07:01:01-DRB1*10:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*104:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 81  A*24:02:01-B*14:02:01-C*02:02:02-DRB1*01:02:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 82  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 83  A*02:01:01-B*35:01:01-C*04:01:01-DRB1*01:01-DQB1*05:01:01  Russia Bashkortostan, Bashkirs 0.5387120
 84  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
 85  A*03:01:01-B*40:06:01-C*06:02:01-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 86  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*10:01:01-DQB1*05:01:01  India Andhra Pradesh Telugu Speaking 0.5376186
 87  A*03:01-B*35:01-C*04:01-DRB1*01:01:01-DQB1*05:01:01  England North West 0.5000298
 88  A*24:02-B*35:01-C*04:01-DRB1*01:03-DQB1*05:01:01  England North West 0.5000298
 89  A*02:06:01-B*52:01:01-C*12:02:02-DRB1*09:01:02-DQB1*05:01:01  Vietnam Kinh 0.4950101
 90  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 91  A*03:02:01-B*38:02:01-C*08:01:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 92  A*11:01:01-B*37:01:01-C*07:01:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 93  A*11:04-B*51:02:01-C*15:02:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 94  A*24:02:01-B*15:25:01-C*04:03:01-DRB1*15:02:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 95  A*24:20-B*48:01:01-C*08:03:01-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 96  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 97  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*10:01:01-DQB1*05:01:01  Vietnam Kinh 0.4950101
 98  A*11:01:01-B*35:01:01-C*04:01:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.486023,595
 99  A*01:01:01-B*07:02:01-C*07:02:01-DRB1*01:03-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215
 100  A*01:01:01-B*39:01:01-C*12:03:01-DRB1*01:01:01-DQB1*05:01:01  Spain, Canary Islands, Gran canaria island 0.4700215

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 1,141) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 12  


   

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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