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 796) records   Pages: 1 2 3 4 5 6 7 8 of 8  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*08:03:02-DPB1*13:01  Taiwan Tsou pop 2 10.300050
 2  DPA1*02:01:01-DPB1*13:01  Gambia 9.9000146
 3  DRB1*08:03:02-DPB1*13:01  China Yunnan Province Bai 6.2000128
 4  DRB1*14:01:01-DPB1*13:01  Taiwan Tsou pop 2 5.800050
 5  DPA1*02:01:01-DPB1*13:01  Ecuador Cayapa 5.4000183
 6  DPA1*02:01:01-DPB1*13:01  Cameroon Saa 4.4000172
 7  DPA1*02:01:01-DPB1*13:01  India Bombay 4.200059
 8  DRB1*08:03:02-DQB1*06:01:01-DPB1*13:01  China Lijiang Naxi 3.5000100
 9  A*02:05:01-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 2.4650142
 10  A*02:01:01-B*44:03:01-C*15:05:02-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 11  A*11:01:01-B*49:01:01-C*07:01:01-DRB1*04:05:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 12  A*11:01:01-B*50:01:01-C*06:02:01-DRB1*04:04:01-DQB1*06:09:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 13  A*29:02:01-B*14:02:01-C*08:02:01-DRB1*15:03:01-DQB1*06:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 14  A*30:01:01-B*50:01:01-C*04:01:01-DRB1*11:01:02-DQB1*03:01:01-DPA1*03:01:01-DPB1*13:01:01  Brazil Barra Mansa Rio State Black 2.381073
 15  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 2 2.2000207
 16  DPA1*02:01:01-DPB1*13:01  Uganda Baganda 2.100047
 17  DRB1*07:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.1000324
 18  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.0000324
 19  DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.8000250
 20  DRB1*12:02-DQA1*06:01-DQB1*03:01-DPB1*13:01  China Canton Han 1.8000264
 21  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
 22  A*11:01:01-B*15:02-C*08:01:01-DRB1*12:02:01-DQB1*05:02:01-DPB1*13:01  China Yunnan Province Nu 1.7000107
 23  A*11:01:01-B*38:02:01-C*07:02:01-DRB1*08:03:02-DQB1*06:01:01-DPB1*13:01  China Yunnan Province Lisu 1.7000111
 24  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
 25  DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*13:01  China Canton Han 1.7000264
 26  DQB1*03:03-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 1.5100496
 27  A*74:01-B*15:03-C*02:10-DRB1*11:01-DQA1*05:01-DQB1*03:01-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 1.5000100
 28  DRB1*11:04-DQB1*03:01-DPB1*13:01  Greece pop3 1.5000246
 29  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
 30  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 31  DRB1*04:04-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 32  DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 1.30691,064
 33  A*02:03-B*38:02-DRB1*15:02-DPB1*13:01  China Canton Han 1.3000264
 34  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 11 1.3000149
 35  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 11 1.3000149
 36  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPB1*13:01  China Canton Han 1.3000264
 37  DQA1*03:02-DQB1*03:03-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 1.22771,064
 38  DPA1*02:01:01-DPB1*13:01  Japan Fukuoka 1.200086
 39  DPA1*02:01:01-DPB1*13:01  Russia Tuva pop 2 1.2000169
 40  A*29:02:01-B*44:03:01-C*16:01:01-DRB1*07:01:01-DQB1*02:02:01-DPA1*02:01:04-DPB1*13:01:01  Brazil Rio de Janeiro Parda 1.1765170
 41  DRB1*09:01:02-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 1.1270496
 42  A*02:05-B*51:01-C*16:01-DRB1*03:01-DQB1*02:01-DPB1*13:01  Tanzania Maasai 1.1182336
 43  A*11:01-B*38:02-DRB1*12:02-DPB1*13:01  China Canton Han 1.1000264
 44  DRB1*08:03:02-DPB1*13:01  Taiwan Rukai pop 2 1.100050
 45  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQB1*03:03-DPB1*13:01  Ireland South 1.0000250
 46  A*02:05-B*58:01-C*07:01-DRB1*11:02-DQA1*05:01-DQB1*03:01-DPB1*13:01  South Africa Worcester 1.0000159
 47  A*23:01-B*53:01-C*06:02-DRB1*15:03-DQA1*01:02-DQB1*06:02-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 1.0000100
 48  DPA1*04:01-DPB1*13:01  Cook Islands 1.000050
 49  DRB1*08:03:02-DPB1*13:01  Taiwan Bunun pop 2 1.000050
 50  DRB1*14:01:01-DPB1*13:01  Taiwan Rukai pop 2 1.000050
 51  DRB1*15:01-DQA1*01:02-DQB1*06:02-DPB1*13:01  South Korea pop 2 1.0000207
 52  DRB1*07:01:01:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.9900496
 53  DRB1*11:01-DQB1*03:19-DPB1*13:01  Gambia pop 3 0.9468939
 54  DRB1*09:01:02-DQB1*03:03-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.9070496
 55  DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*04:01-DPB1*13:01  China Zhejiang Han pop 2 0.8126833
 56  DRB1*13:02-DQB1*05:01-DPB1*13:01  Gambia pop 3 0.7869939
 57  A*01:01-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.7703714
 58  A*02:07:01-B*46:01:01-C*01:02:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.70635,266
 59  A*23:01:01-B*15:10:01-C*16:01:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.7040142
 60  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  Sri Lanka Colombo 0.6303714
 61  A*31:01:02-B*51:01:01-C*15:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  Saudi Arabia pop 6 (G) 0.629428,927
 62  DRB1*09:01-DQB1*02:02-DPB1*13:01  Gambia pop 3 0.6129939
 63  A*02:11-B*14:02-C*08:02-DRB1*01:02-DQA1*01:03-DQB1*06:01-DPB1*13:01  South Africa Worcester 0.6000159
 64  DRB1*07:01:01:01-DQB1*03:03-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.5960496
 65  A*02:05:01-B*50:01:01-C*06:02:01-DRB1*13:02:01-DQB1*06:09:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 66  A*23:01:01-B*50:01:01-C*04:01:01-DRB1*13:03:01-DQB1*03:01:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 67  A*30:02:01-B*08:01:01-C*07:01:01-DRB1*11:02:01-DQB1*03:19:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 68  A*68:02:01-B*35:02:01-C*07:02:01-DRB1*11:04:01-DQB1*03:01:01-DPA1*01:03:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 69  A*69:01:01-B*44:02:01-C*15:02:01-DRB1*11:04:01-DQB1*02:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 70  A*74:01:01-B*81:01:01-C*02:10:01-DRB1*04:03:01-DQB1*03:02:01-DPA1*02:01:01-DPB1*13:01:01  Brazil Rio de Janeiro Parda 0.5882170
 71  DQA1*05:03-DQB1*03:01-DPA1*04:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.58691,064
 72  DRB1*10:01-DQB1*05:01-DPB1*13:01  Gambia pop 3 0.5520939
 73  A*02:02-B*44:03-C*14:03-DRB1*15:03-DQA1*05:01-DQB1*03:01-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 74  A*66:01-B*44:03-C*14:03-DRB1*12:01-DQA1*01:01-DQB1*06:02-DPB1*13:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 75  A*33:03-B*57:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*03:03-DPB1*13:01  Sri Lanka Colombo 0.4902714
 76  DQB1*06:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.4800496
 77  DQA1*01:04-DQB1*05:03-DPA1*02:01-DPB1*13:01  Hong Kong Chinese HKBMDR. DQ and DP 0.46271,064
 78  A*11:01-B*49:01-C*07:01-DRB1*04:05-DQA1*03:01-DQB1*03:02-DPB1*13:01  Nicaragua Managua 0.4329339
 79  A*33:01-B*14:02-C*08:02-DRB1*14:01-DQA1*01:01-DQB1*05:03-DPB1*13:01  Nicaragua Managua 0.4329339
 80  A*02:01:01-B*07:02:01-C*04:01:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*02:01:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 81  A*23:01:01-B*44:03:01-C*04:01:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 82  A*26:01:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQA1*03:02:01-DQB1*03:03:02-DPA1*02:01:04-DPB1*13:01:01  Russian Federation Vologda Region 0.4202119
 83  DRB1*15:02-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*13:01  China Zhejiang Han pop 2 0.4182833
 84  DRB1*07:01:01:01-DQB1*02:02-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.4120496
 85  DRB1*15:02:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.4010496
 86  DQB1*02:02-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.3930496
 87  DRB1*08:03-DQA1*01:03-DQB1*06:01-DPA1*02:02-DPB1*13:01  China Zhejiang Han pop 2 0.3772833
 88  DQB1*03:01-DPB1*13:01:01  China Inner Mongolia Autonomous Region Northeast 0.3730496
 89  A*02:05:01-B*14:01:01-C*06:02:01-DRB1*13:01:01-DQB1*06:03:01-DPB1*13:01:01  South African Black 0.3520142
 90  A*02:05:01-B*45:01:01-C*03:04:01-DRB1*13:01:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 91  A*02:05:01-B*58:01:01-C*15:02:01-DRB1*15:03:01-DQB1*06:02:01-DPB1*13:01:01  South African Black 0.3520142
 92  A*03:01:01-B*08:01:01-C*07:02:01-DRB1*03:02:01-DQB1*03:02:01-DPB1*13:01:01  South African Black 0.3520142
 93  A*23:01:01-B*81:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPB1*13:01:01  South African Black 0.3520142
 94  A*29:02:01-B*08:01:01-C*16:01:01-DRB1*11:01:02-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 95  A*29:02:01-B*44:03:02-C*06:02:01-DRB1*07:01:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 96  A*29:11-B*58:01:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 97  A*30:01:01-B*15:03:01-C*07:18-DRB1*11:02:01-DQB1*03:19:01-DPB1*13:01:01  South African Black 0.3520142
 98  A*30:01:01-B*53:01:01-C*12:03:01-DRB1*10:01:01-DQB1*05:01:01-DPB1*13:01:01  South African Black 0.3520142
 99  A*30:02:01-B*42:02:01-C*17:01:01-DRB1*13:02:01-DQB1*06:09:01-DPB1*13:01:01  South African Black 0.3520142
 100  A*68:02:01-B*15:03:01-C*02:10:01-DRB1*07:01:01-DQB1*02:02:01-DPB1*13:01:01  South African Black 0.3520142

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 796) records   Pages: 1 2 3 4 5 6 7 8 of 8  


   

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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