Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 100 (from 135) records   Pages: 1 2 of 2  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  DRB1*04:04-DQA1*03:01/03:02-DQB1*04:02  Ethiopia Oromo 1.800083
 2  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 1 1.7000324
 3  DRB1*04:04-DQA1*03:03-DQB1*04:02  South Korea pop 5 1.4000467
 4  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 5  DRB1*04:04-DQB1*04:02-DPB1*13:01  South Korea pop 1 1.4000324
 6  B*14:01-DRB1*04:04-DQB1*04:02  South Korea pop 3 1.3000485
 7  DRB1*04:04-DQA1*03:03-DQB1*04:02-DPB1*13:01  South Korea pop 11 1.3000149
 8  A*30:04-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  South Korea pop 3 1.2000485
 9  DRB1*04:04-DQA1*03-DQB1*04:02  Russia Siberia Irkutsk Tofalar 1.200043
 10  DRB1*04:04-DQA1*03:01-DQB1*04:02  Australia New South Wales Aborigine 1.1000177
 11  A*68:01-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 12  A*68:01-B*39:05-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 13  A*68:16-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02  Colombia North Chimila Amerindians 1.063847
 14  A*02-B*45-DRB1*04:04-DQA1*03-DQB1*04:02  Morocco 1.000096
 15  A*02:01-B*35:01-C*16:02-DRB1*04:04-DQA1*03:03-DQB1*04:02  United Arab Emirates Abu Dhabi 0.960052
 16  A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02  USA NMDP Korean 0.718777,584
 17  A*29:02-B*58:01-C*06:02-DRB1*04:04-DQA1*03:01-DQB1*04:02-DPB1*40:01  South Africa Worcester 0.6000159
 18  A*23:01-B*35:02-DRB1*04:04-DQB1*04:02  Mexico Veracruz Xalapa 0.595284
 19  A*03:01-B*44:02-C*04:01-E*01:01:01-F*01:01:01-G*01:01-DRB1*04:04-DQA1*04:01-DQB1*04:02  Portugal Azores Terceira Island 0.4386130
 20  DRB1*04:04-DQB1*04:02  Mexico Mexico City Mestizo pop 2 0.4300234
 21  A*32:01:01-B*15:15-C*03:03:01-DRB1*04:04:01-DQB1*04:02:01  Russia Bashkortostan, Bashkirs 0.4167120
 22  A*68:01-B*47:01-C*06:02-DRB1*04:04-DQA1*01:02-DQB1*04:02  Kosovo 0.4030124
 23  A*02:02:01-B*58:01:01-C*07:01:02-DRB1*04:04:01-DQB1*04:02:01-DPB1*40:01:01  South African Black 0.3520142
 24  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
 25  A*33:03:01-B*53:01:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPB1*105:01:01  South African Black 0.3520142
 26  A*31:01:02-B*45:01:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*271:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 27  A*68:01:01-B*35:08:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 28  A*68:01:01-B*35:08:01-C*04:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*18:01:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 29  A*01:01-B*37:01-C*06:02-DRB1*04:04-DQA1*03:01-DQB1*04:02-DPB1*04:01  South Africa Worcester 0.3000159
 30  A*03:01-B*08:01-C*07:04-DRB1*04:04-DQA1*01:02-DQB1*04:02-DPB1*03:01  South Africa Worcester 0.3000159
 31  DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.26501,772
 32  A*01:01:01:01-B*37:01:01-C*06:02:01:01-DRB1*04:04:01-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 33  A*02:06:01-B*40:02:01-C*03:04:01-DRB1*04:04:01-DQB1*04:02:01  Russia Bashkortostan, Tatars 0.2604192
 34  A*33:01-B*15:03-C*02:10-DRB1*04:04-DQA1*03:01-DQB1*04:02-DPB1*04:01  USA San Diego 0.2600496
 35  A*02:01:01-B*41:02:01-C*07:01:01-DRB1*04:04:01-DQB1*04:02:01-DPA1*01:03:01-DPB1*03:01:01  Brazil Rio de Janeiro Caucasian 0.1946521
 36  A*02:01-B*40:02-C*03:05-DRB1*04:04-DQB1*04:02-DPB1*04:02  Panama 0.1900462
 37  A*02:06-B*39:01-C*03:04-DRB1*04:04-DQB1*04:02-DPB1*14:01  Panama 0.1900462
 38  A*24:02-B*35:01-DRB1*04:04-DQB1*04:02  Mexico Mexico City Tlalpan 0.1515330
 39  DRB1*04:04-DQB1*04:02  USA Hispanic pop 2 0.14301,999
 40  A*01:01:01-B*35:01:01-C*12:03:01-DRB1*04:04:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 41  A*33:03:01-B*40:02:01-C*15:02:01-DRB1*04:04:01-DQB1*04:02:01  India Kerala Malayalam speaking 0.1400356
 42  A*02:01-B*41:01-C*17:01-DRB1*04:04-DQB1*04:02  USA Hispanic pop 2 0.09401,999
 43  A*30:04-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.08901,772
 44  A*02-B*07-DRB1*04:04-DQA1*03:02-DQB1*04:02  Brazil Paraná Caucasian 0.0780641
 45  A*03:02-B*35:08-C*04:01-DRB1*04:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.06841,463
 46  A*01:01-B*35:08-C*04:01-DRB1*04:04-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.06804,335
 47  A*01:01-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  India Tamil Nadu 0.06212,492
 48  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  India Tamil Nadu 0.05672,492
 49  A*01:01-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.05404,856
 50  A*30:04-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.04904,856
 51  A*02:06-B*15:15-C*01:02-DRB1*04:04-DQB1*04:02  USA Hispanic pop 2 0.04701,999
 52  A*03:02-B*35:08-C*12:03-DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.04401,772
 53  A*24:02-B*35:08-C*12:03-DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.04401,772
 54  A*31:01-B*15:07-C*03:03-DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.04401,772
 55  A*26:01-B*55:01-C*03:03-DRB1*04:04-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 56  A*34:02-B*08:01-C*07:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Italy minority 0.04301,159
 57  DRB1*04:04-DQB1*04:02  USA African American pop 4 0.04302,411
 58  A*02:01-B*35:08-C*04:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.03604,856
 59  A*03:01-B*41:01-C*17:01-DRB1*04:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 60  A*24:02-B*40:02-C*03:04-DRB1*04:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 61  A*26:01-B*51:01-C*15:02-DRB1*04:04-DQB1*04:02  Colombia Bogotá Cord Blood 0.03421,463
 62  A*26:01-B*35:08-C*04:01-DRB1*04:04-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 63  A*30:04-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 64  A*68:02-B*50:01-C*05:01-DRB1*04:04-DQB1*04:02  Spain (Catalunya, Navarra, Extremadura, Aaragón, Cantabria, 0.03404,335
 65  A*02:01:01:01-B*14:01:01-C*06:02:01:01-DRB1*04:04:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 66  A*03:01:01:01-B*14:01:01-C*08:02:01:02-DRB1*04:04:01-DQB1*04:02:01  Russia Nizhny Novgorod, Russians 0.03311,510
 67  A*66:01-B*41:01-C*17:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.03104,856
 68  A*11:01-B*51:01-C*15:02-DRB1*04:04-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 69  A*24:02-B*51:01-C*03:04-DRB1*04:04-DQA1*03:03-DQB1*04:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.03003,078
 70  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02504,856
 71  A*30:04-B*14:01-C*08:02-DRB1*04:04-DRB4*01:01-DQB1*04:02  USA NMDP Middle Eastern or North Coast of Africa 0.023570,890
 72  A*03:01-B*41:01-C*17:01-DRB1*04:04-DQB1*04:02  USA African American pop 4 0.02202,411
 73  A*03:01-B*44:02-C*05:01-DRB1*04:04-DQB1*04:02  USA African American pop 4 0.02202,411
 74  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.02201,772
 75  A*24:02-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  USA Asian pop 2 0.02201,772
 76  A*02:01-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 77  A*02:01-B*35:08-C*07:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 78  A*02:01-B*51:05-C*04:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 79  A*03:01-B*41:01-C*17:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 80  A*33:01-B*14:02-C*08:02-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02104,856
 81  A*03:01-B*55:01-C*01:02-DRB1*04:04-DQB1*04:02  India Tamil Nadu 0.02012,492
 82  A*33:03-B*35:01-C*03:02-DRB1*04:04-DQB1*04:02  India Tamil Nadu 0.02012,492
 83  A*01:01-B*35:08-C*04:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.02004,856
 84  A*03:01:01-B*41:01:01-C*17:01:01-DRB1*04:04:01-DQB1*04:02:01  Poland BMR 0.017023,595
 85  A*24:02-B*35:08-C*04:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01604,856
 86  A*24:02-B*52:01-C*12:02-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01304,204
 87  A*24:02-B*35:03-C*12:03-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01234,204
 88  A*01:01-B*44:02-C*05:01-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 89  A*02:11-B*37:01-C*06:02-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 90  A*11:01-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 91  A*24:02-B*35:08-C*12:03-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 92  A*68:01-B*35:08-C*12:03-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01194,204
 93  A*02:05-B*14:01-C*08:02-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01104,856
 94  A*68:01-B*35:01-C*04:01-DRB1*04:04-DQB1*04:02  India UCBB_Central Indian HLA 0.01044,204
 95  A*01:01-B*15:01-C*03:03-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 96  A*01:01-B*47:01-C*06:02-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 97  A*02:01-B*51:01-C*01:02-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 98  A*02:01-B*51:01-C*04:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 99  A*02:01-B*51:29-C*07:01-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856
 100  A*02:05-B*50:01-C*06:02-DRB1*04:04-DQB1*04:02  Germany DKMS - Turkey minority 0.01004,856

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 135) 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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