Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 1 to 100 (from 306) records   Pages: 1 2 3 4 of 4  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DQA1*02:01-DQB1*02:02  Tunisia 25.7000100
 2  DRB1*07:01-DQA1*02:01-DQB1*02:02  Morocco Settat Chaouya 16.700098
 3  DRB1*07:01-DQA1*02:01-DQB1*02:02  Spain Las Alpujarras 12.940085
 4  DRB1*07:01-DQA1*02:01-DQB1*02:02  USA European American 11.08001,899
 5  DRB1*07:01-DQA1*02:01-DQB1*02:02  Tunisia 10.2000100
 6  DRB1*07-DQA1*02:01-DQB1*02:02  Croatia Gorski Kotar Region 9.400063
 7  DRB1*07:01-DQA1*02:01-DQB1*02:02  USA San Francisco Caucasian 8.9000220
 8  DRB1*07-DQA1*02:01-DQB1*02:02  Czech Republic pop 3 8.3000180
 9  DQA1*02:01-DQB1*02:02  Belgium pop 2 7.8000715
 10  DRB1*07:01-DQA1*02:01-DQB1*02:02  South Korea pop 5 6.6000467
 11  A*29-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 5.1000173
 12  DRB1*07:01-DQA1*02:01-DQB1*02:02  South Korea pop 1 4.9000324
 13  DRB1*07:01-DQA1*02:01-DQB1*02:02  Cameroon Yaounde 4.400092
 14  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 11 4.0000149
 15  A*02:01:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Morocco Atlantic Coast Chaouya 2.900098
 16  A*02:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 2.880052
 17  A*23:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 2.4190124
 18  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Francisco Caucasian 2.4000220
 19  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Francisco Caucasian 2.4000220
 20  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  China Zhejiang Han pop 2 2.3340833
 21  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 2 2.2000207
 22  A*29-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 2.1611641
 23  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 1 2.0000324
 24  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Diego 1.8230496
 25  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Francisco Caucasian 1.8000220
 26  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Francisco Caucasian 1.8000220
 27  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  South Korea pop 2 1.7000207
 28  A*02:01:01-B*13:02:01-C*06:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.6340153
 29  A*26:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Kosovo 1.6130124
 30  DRB1*13:03-DQA1*02:01-DQB1*02:02  Cameroon Yaounde 1.600092
 31  A*02-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 1.5000173
 32  A*26:01-B*45:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Mexico Tixcacaltuyub Maya 1.492567
 33  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Sri Lanka Colombo 1.4006714
 34  A*03:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.3333150
 35  DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*17:01  Hong Kong Chinese HKBMDR. DQ and DP 1.31121,064
 36  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*13:01  South Korea pop 11 1.3000149
 37  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  USA San Francisco Caucasian 1.3000220
 38  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  USA San Francisco Caucasian 1.3000220
 39  A*29:02-B*44:03-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Nicaragua Managua 1.2987339
 40  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  Sri Lanka Colombo 1.2605714
 41  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 2 1.2000207
 42  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  South Korea pop 1 1.1000324
 43  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Francisco Caucasian 1.1000220
 44  DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02-DPB1*11:01  USA San Francisco Caucasian 1.1000220
 45  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*17:01  USA San Diego 1.0420496
 46  A*02-B*51-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 1.0152641
 47  A*03:01-B*57:03-C*18:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 1.0000150
 48  A*03-B*07-DRB1*07-DQA1*02:01-DQB1*02:02  Jordan Amman 1.0000146
 49  A*31-B*07-DRB1*07-DQA1*02:01-DQB1*02:02  Jordan Amman 1.0000146
 50  A*02:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 51  A*02:05-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 52  A*03:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 53  A*11:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 54  A*24:17-B*44:03-C*05:01-DRB1*12:02-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 55  A*29:01-B*50:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 56  A*33:03-B*35:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 57  A*74:01-B*14:02-C*08:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  United Arab Emirates Abu Dhabi 0.960052
 58  A*01:01-B*51:01-C*14:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 59  A*03:01-B*44:02-C*05:01-E*01:03:02-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 60  A*24:02-B*50:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 61  A*32:01-B*14:01-C*08:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.8772130
 62  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*07:01:01-DQA1*02:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*04:01:01  Russian Federation Vologda Region 0.8403119
 63  A*01:01-B*44:03-C*04:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:01  USA San Diego 0.7810496
 64  A*02:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  USA San Diego 0.7810496
 65  DQA1*02:01-DQB1*02:02-DPA1*01:03-DPB1*02:01  Hong Kong Chinese HKBMDR. DQ and DP 0.76751,064
 66  A*24:02-B*14:01-C*08:02-DRB1*13:03-DQA1*02:01-DQB1*02:02  Mexico Tixcacaltuyub Maya 0.746367
 67  A*02-B*35-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.6777641
 68  A*02:05-B*27:03-C*02:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.6667150
 69  A*30:01-B*13:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.6667150
 70  A*30:01-B*13:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Puyanawa 0.6667150
 71  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
 72  A*23-B*44-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.6240641
 73  A*01:01-B*58:01-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  South Africa Worcester 0.6000159
 74  A*33:03-B*44:03-C*07:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Sri Lanka Colombo 0.5602714
 75  A*30-B*13-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.5448641
 76  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:01-DPB1*09:01  China Zhejiang Han pop 2 0.5402833
 77  A*02-B*50-DRB1*07:01-DQA1*02:01-DQB1*02:02  Brazil Paraná Caucasian 0.5359641
 78  A*01:01-B*51:01-C*16:01-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 79  A*23:01-B*42:01-C*02:10-DRB1*11:02-DQA1*02:01-DQB1*02:02-DPB1*01:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 80  A*29:02-B*45:01-C*16:46-DRB1*15:03-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 81  A*30:01-B*35:01-C*07:05-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 82  A*66:01-B*57:03-C*18:01-DRB1*03:02-DQA1*02:01-DQB1*02:02-DPB1*04:02  Kenya, Nyanza Province, Luo tribe 0.5000100
 83  A*68:02-B*15:10-C*02:02-DRB1*11:01-DQA1*02:01-DQB1*02:02-DPB1*02:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 84  A*74:03-B*58:02-C*06:02-DRB1*07:01-DQA1*02:01-DQB1*02:02-DPB1*18:01  Kenya, Nyanza Province, Luo tribe 0.5000100
 85  DRB1*07:01-DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*05:01  China Zhejiang Han pop 2 0.4931833
 86  DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*05:01  Hong Kong Chinese HKBMDR. DQ and DP 0.49201,064
 87  A*68:02-B*53:01-C*04:01-DRB1*13:03-DQA1*02:01-DQB1*02:02-DPA1*02:02-DPB1*11:01  Mexico Chiapas Lacandon Mayans 0.4587218
 88  A*01:01-B*50:01-C*04:01-E*01:01:01-F*01:01:01-G*01:06-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 89  A*01:01-B*57:06-C*12:02-E*01:01:01-F*01:01:01-G*01:06-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 90  A*01:01-B*58:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*04:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 91  A*02:01-B*13:02-C*12:03-E*01:01:01-F*01:01:01-G*01:01-DRB1*13:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 92  A*02:01-B*35:01-C*06:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 93  A*11:01-B*35:01-C*04:01-E*01:01:01-F*01:01:02-G*01:01-DRB1*08:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 94  A*11:01-B*35:04-C*15:02-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 95  A*11:01-B*49:01-C*07:01-E*01:01:01-F*01:01:02-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 96  A*24:02-B*35:03-C*06:02-E*01:03:02-F*01:01:01-G*01:04-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 97  A*25:01-B*15:39-C*07:02-E*01:03:02-F*01:01:01-G*01:04-DRB1*15:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 98  A*26:01-B*14:01-C*12:03-E*01:03:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 99  A*29:02-B*49:01-C*07:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*07:01-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130
 100  A*29:02-B*57:01-C*08:02-E*01:01:01-F*01:01:02-G*01:01-DRB1*04:02-DQA1*02:01-DQB1*02:02  Portugal Azores Terceira Island 0.4386130

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 306) records   Pages: 1 2 3 4 of 4  


   

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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