Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 132) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*29:01:01-B*07:05:01-C*15:05:02-DRB1*09:01:02-DQB1*03:03:02  Vietnam Kinh 1.4850101
 2  A*02:01-B*07:05-DRB1*09:01  Malaysia Pahang Semai 1.320038
 3  A*03:01:01-B*07:02:01-DRB1*09:01:02  Portugal Center 1.000050
 4  A*02-B*07-DRB1*09:01  Colombia Barranquilla 0.5300188
 5  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*06:01:01  Vietnam Kinh 0.4950101
 6  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
 7  A*33:03:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*02:02:01-DPB1*104:01:01  South African Black 0.3520142
 8  A*03:01-B*07:02-C*02:02-DRB1*09:01-DQA1*03:01-DQB1*03:02-DPB1*11:01  South Africa Worcester 0.3000159
 9  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  India Karnataka Kannada Speaking 0.2870174
 10  A*30-B*07-DRB1*09:01  Colombia Barranquilla 0.2700188
 11  A*29:01-B*07:05-C*07:02-DRB1*09:01-DQB1*05:01  Malaysia Peninsular Chinese 0.2577194
 12  A*02:01-B*07:02-C*07:02-DRB1*09:01:02-DQB1*03:03:02  England North West 0.2000298
 13  A*23-B*07-DRB1*09:01  USA NMDP African American 0.2000412,861
 14  A*02:11-B*07:05-C*15:05-DRB1*09:01-DQB1*03:01  Malaysia Peninsular Indian 0.1845271
 15  A*23:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA NMDP Black South or Central American 0.15394,889
 16  A*30:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA NMDP Caribean Indian 0.147414,339
 17  A*02-B*07-DRB1*09:01  Chile Santiago 0.1166920
 18  A*03:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.11102,411
 19  A*30-B*07-DRB1*09:01  USA NMDP African American 0.1000412,861
 20  A*03:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - Netherlands minority 0.09901,374
 21  A*30:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA Hispanic pop 2 0.09401,999
 22  A*30:02-B*07:05-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.08702,411
 23  A*68:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.08702,411
 24  A*68:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.08702,411
 25  A*23-B*07-DRB1*09:01-DQA1*03:01-DQB1*03:03  Brazil Paraná Caucasian 0.0780641
 26  A*24:02-B*07:02-C*07:02-DRB1*09:01  Japan pop 16 0.078018,604
 27  A*68:01-B*07:05-C*14:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPB1*05:01  Sri Lanka Colombo 0.0700714
 28  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 29  A*29:01-B*07:05-DRB1*09:01  Hong Kong Chinese cord blood registry 0.05863,892
 30  A*11:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - China minority 0.05301,282
 31  A*24:02-B*07:05-C*07:02-DRB1*09:01-DQB1*03:20  Malaysia Peninsular Malay 0.0526951
 32  A*24:02-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - United Kingdom minority 0.05201,043
 33  A*29:01-B*07:05-C*15:05-DRB1*09:01  Hong Kong Chinese BMDR 0.04987,595
 34  A*23:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.04802,411
 35  A*68:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - Spain minority 0.04501,107
 36  A*01:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.04402,411
 37  A*24:02-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  USA African American pop 4 0.04402,411
 38  A*24:02-B*07:05-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 39  A*24:07-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 40  A*29:01-B*07:05-C*15:05-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.04401,772
 41  A*33:01-B*07:02-C*07:01-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.04402,411
 42  A*33:03-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.04402,411
 43  A*34:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.04402,411
 44  A*01:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - Romania minority 0.04101,234
 45  A*30:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - China minority 0.03901,282
 46  A*29:02-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - France minority 0.03601,406
 47  A*03:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  Colombia Bogotá Cord Blood 0.03421,463
 48  A*30:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 49  A*30:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 50  A*36:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  Colombia Bogotá Cord Blood 0.03421,463
 51  A*03:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 52  A*01:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 53  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 54  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 55  A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*09:01:02-DQB1*03:03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 56  A*24:02-B*07:02-C*07:02-DRB1*09:01-DQA1*03:01-DQB1*03:03-DPA1*02:02-DPB1*05:01  Japan pop 17 0.03003,078
 57  A*24:02-B*07:02-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 58  A*26:01-B*07:02-C*07:02-DRB1*09:01-DQA1*03:02-DQB1*03:03-DPA1*02:02-DPB1*03:01  Japan pop 17 0.03003,078
 59  A*01:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - Austria minority 0.02901,698
 60  A*31:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - Austria minority 0.02901,698
 61  A*24:02:01-B*07:06:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.02881,734
 62  A*03:01-B*07:02-C*07:02-DRB1*09:01  Germany DKMS - Greece minority 0.02601,894
 63  A*02:01-B*07:06-C*07:02-DRB1*09:01-DQB1*03:02  India East UCBB 0.02082,403
 64  A*24:02-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  India East UCBB 0.02082,403
 65  A*11:01-B*07:05-C*07:02-DRB1*09:01-DQB1*03:03  India Tamil Nadu 0.02012,492
 66  A*68:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:02  India Tamil Nadu 0.02012,492
 67  A*01:01-B*07:05-C*07:02-DRB1*09:01-DQB1*03:02  India Tamil Nadu 0.02012,492
 68  A*02:01-B*07:02-C*07:02-DRB1*09:01  Poland DKMS 0.019020,653
 69  A*02:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03-DPB1*04:02  Germany DKMS - German donors 0.01893,456,066
 70  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*09:01:02-DQB1*03:03:02  Poland BMR 0.017923,595
 71  A*24:02-B*07:02-DRB1*09:01  Israel Kavkazi Jews 0.01762,840
 72  A*24:02-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  India West UCBB 0.01635,829
 73  A*03:01-B*07:02-C*07:02-DRB1*09:01  Poland DKMS 0.015620,653
 74  A*02:01-B*07:02-DRB1*09:01  Israel USSR Jews 0.014045,681
 75  A*01:01-B*07:05-DRB1*09:01  Israel Iran Jews 0.01318,153
 76  A*02:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03-DPB1*04:01  Germany DKMS - German donors 0.01243,456,066
 77  A*02:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 78  A*31:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 79  A*31:01-B*07:05-C*15:05-DRB1*09:01-DQB1*03:03  India Central UCBB 0.01194,204
 80  A*68:02-B*07:02-DRB1*09:01  Israel Argentina Jews 0.01164,307
 81  A*03:01-B*07:05-C*15:05-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 82  A*03:02-B*07:05-C*15:05-DRB1*09:01-DQB1*03:03  USA Asian pop 2 0.01101,772
 83  A*23:01-B*07:02-C*15:05-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 84  A*24:02-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 85  A*29:02-B*07:02-C*15:05-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 86  A*30:01-B*07:05-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 87  A*30:02-B*07:02-C*15:05-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 88  A*33:01-B*07:02-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 89  A*33:03-B*07:02-C*15:05-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 90  A*74:01-B*07:05-C*07:02-DRB1*09:01-DQB1*02:01  USA African American pop 4 0.01102,411
 91  A*02:01-B*07:02-C*07:02-DRB1*09:01  Japan pop 16 0.010018,604
 92  A*01:01-B*07:02-DRB1*09:01  Israel USA Jews 0.00916,058
 93  A*01:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 94  A*02:06-B*07:06-C*07:02-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 95  A*24:02-B*07:02-C*03:04-DRB1*09:01-DQB1*03:03  India West UCBB 0.00865,829
 96  A*24:02-B*07:06-C*07:02-DRB1*09:01-DQB1*03:02  India West UCBB 0.00865,829
 97  A*30:01-B*07:02-C*06:02-DRB1*09:01-DQB1*03:02  India West UCBB 0.00865,829
 98  A*31:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:02  India West UCBB 0.00865,829
 99  A*03:01-B*07:02-C*07:02-DRB1*09:01-DQB1*03:03  India North UCBB 0.00855,849
 100  A*03:01-B*07:05-C*15:05-DRB1*09:01-DQB1*03:02  India North UCBB 0.00855,849

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 132) records   Pages: 1 2 of 2  


   

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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