Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 175) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Japan Central 4.0000371
 2  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Japanese 3.522324,582
 3  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 3.19003,078
 4  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  South Korea pop 3 2.9000485
 5  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Korean 2.257877,584
 6  A*02:01-B*07:02-C*07:02-E*01:03:02-F*01:01:01-G*01:01-DRB1*01:01-DQA1*01:01-DQB1*05:01  Portugal Azores Terceira Island 1.3158130
 7  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 1.3072153
 8  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Poland 1.3000200
 9  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:01:01  Russia Belgorod region 0.6536153
 10  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.53001,772
 11  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:02-DPB1*05:01  Japan pop 17 0.46003,078
 12  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.4500356
 13  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*04:02  Russian Federation Vologda Region 0.4202119
 14  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:01:01-DQB1*05:01:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 15  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Bashkortostan, Bashkirs 0.4167120
 16  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.3993221
 17  A*02:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.37051,510
 18  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQA1*01:02:01-DQB1*05:01-DPA1*01:03:01-DPB1*04:02  Russia Belgorod region 0.3268153
 19  A*11:01-B*07:02-C*07:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.3000298
 20  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.29325,926
 21  A*24:02:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.28451,510
 22  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.2810356
 23  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.26881,075
 24  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Russia Karelia 0.26601,075
 25  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*02:01  USA San Diego 0.2600496
 26  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPB1*04:02  USA San Diego 0.2600496
 27  A*03:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.254623,595
 28  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.23003,078
 29  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.23003,078
 30  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.22741,734
 31  A*11:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.22291,510
 32  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.20601,999
 33  A*03:01:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.20411,510
 34  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.20003,078
 35  A*32:01-B*07:02-C*07:02-DRB1*01:01:01-DQB1*05:01:01  England North West 0.2000298
 36  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA NMDP American Indian South or Central America 0.18615,926
 37  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.18301,159
 38  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Hispanic pop 2 0.16901,999
 39  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.156123,595
 40  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.14853,456,066
 41  A*11:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  India Kerala Malayalam speaking 0.1400356
 42  A*02:01:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.139923,595
 43  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.13811,075
 44  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01-DQB1*05:01  Costa Rica Central Valley Mestizo (G) 0.1357221
 45  A*32:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.13102,411
 46  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.13003,078
 47  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*09:01  Japan pop 17 0.13003,078
 48  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.12061,075
 49  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.10791,463
 50  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.10404,856
 51  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.10304,335
 52  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Russia Karelia 0.10261,075
 53  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.10003,078
 54  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 55  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP European Caucasian 0.09261,242,890
 56  A*31:01:02:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.08991,510
 57  A*02:03:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.08651,734
 58  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.08483,456,066
 59  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.07353,456,066
 60  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*03:01  Japan pop 17 0.07003,078
 61  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*02:01-DPB1*14:01  Japan pop 17 0.07003,078
 62  A*26:01-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 63  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQA1*01:01-DQB1*05:01-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 64  A*29:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.06841,463
 65  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 66  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP South Asian Indian 0.0679185,391
 67  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.06631,075
 68  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.06242,403
 69  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India East UCBB 0.06242,403
 70  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*23:01  Russia Karelia 0.06071,075
 71  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP North American Amerindian 0.060635,791
 72  A*31:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.06022,492
 73  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Colombia Bogotá Cord Blood 0.05931,463
 74  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.05901,159
 75  A*68:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Tamil Nadu 0.05812,492
 76  A*33:03-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Russia Karelia 0.05651,075
 77  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Russia Karelia 0.05641,075
 78  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.05155,829
 79  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.05101,159
 80  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04863,456,066
 81  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:01  Germany DKMS - German donors 0.04803,456,066
 82  A*24:02:01-B*07:02:01-C*07:02:01-DRB1*01:01:01-DQB1*05:01:01  China Zhejiang Han 0.04681,734
 83  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*04:02  Germany DKMS - German donors 0.04643,456,066
 84  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.04604,856
 85  A*02:06-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 86  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 87  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 88  A*26:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA Asian pop 2 0.04401,772
 89  A*68:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  USA African American pop 4 0.04402,411
 90  A*30:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Italy minority 0.04301,159
 91  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India Central UCBB 0.04124,204
 92  A*02:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India North UCBB 0.03995,849
 93  A*25:01:01-B*07:02:01-C*07:02:01:03-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03921,510
 94  A*24:02-B*07:02-C*07:02-DRB1*01:01-DRBX*NNNN-DQB1*05:01  USA NMDP Middle Eastern or North Coast of Africa 0.037070,890
 95  A*24:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Germany DKMS - Turkey minority 0.03704,856
 96  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*02:01  Germany DKMS - German donors 0.03593,456,066
 97  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  India West UCBB 0.03555,829
 98  A*03:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01-DPB1*03:01  Germany DKMS - German donors 0.03403,456,066
 99  A*11:01-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 100  A*29:02-B*07:02-C*07:02-DRB1*01:01-DQB1*05:01  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335

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 175) 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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